├── got10k ├── __init__.py ├── utils │ ├── __init__.py │ ├── viz.pyc │ ├── __init__.pyc │ ├── ioutils.pyc │ ├── metrics.pyc │ ├── __pycache__ │ │ ├── viz.cpython-37.pyc │ │ ├── __init__.cpython-37.pyc │ │ ├── ioutils.cpython-37.pyc │ │ └── metrics.cpython-37.pyc │ ├── ioutils.py │ └── viz.py ├── __init__.pyc ├── datasets │ ├── nfs.pyc │ ├── otb.pyc │ ├── vid.pyc │ ├── vot.pyc │ ├── dtb70.pyc │ ├── lasot.pyc │ ├── __init__.pyc │ ├── got10k.pyc │ ├── uav123.pyc │ ├── tcolor128.pyc │ ├── __pycache__ │ │ ├── dtb70.cpython-37.pyc │ │ ├── lasot.cpython-37.pyc │ │ ├── nfs.cpython-37.pyc │ │ ├── otb.cpython-37.pyc │ │ ├── vid.cpython-37.pyc │ │ ├── vot.cpython-37.pyc │ │ ├── got10k.cpython-37.pyc │ │ ├── uav123.cpython-37.pyc │ │ ├── __init__.cpython-37.pyc │ │ └── tcolor128.cpython-37.pyc │ ├── __init__.py │ ├── dtb70.py │ ├── trackingnet.py │ ├── nfs.py │ ├── tcolor128.py │ ├── uav123.py │ ├── lasot.py │ └── got10k.py ├── experiments │ ├── dtb70.pyc │ ├── lasot.pyc │ ├── nfs.pyc │ ├── otb.pyc │ ├── vid.pyc │ ├── vot.pyc │ ├── got10k.pyc │ ├── uav123.pyc │ ├── __init__.pyc │ ├── tcolor128.pyc │ ├── __pycache__ │ │ ├── nfs.cpython-37.pyc │ │ ├── otb.cpython-37.pyc │ │ ├── vid.cpython-37.pyc │ │ ├── vot.cpython-37.pyc │ │ ├── dtb70.cpython-37.pyc │ │ ├── got10k.cpython-36.pyc │ │ ├── got10k.cpython-37.pyc │ │ ├── lasot.cpython-37.pyc │ │ ├── uav123.cpython-37.pyc │ │ ├── __init__.cpython-36.pyc │ │ ├── __init__.cpython-37.pyc │ │ └── tcolor128.cpython-37.pyc │ ├── __init__.py │ ├── dtb70.py │ ├── nfs.py │ ├── tcolor128.py │ └── uav123.py ├── trackers │ ├── __init__.pyc │ ├── identity_tracker.pyc │ ├── __pycache__ │ │ ├── __init__.cpython-37.pyc │ │ └── identity_tracker.cpython-37.pyc │ ├── identity_tracker.py │ └── __init__.py ├── __pycache__ │ ├── __init__.cpython-36.pyc │ └── __init__.cpython-37.pyc └── reports │ └── GOT-10k │ ├── A3CTD │ ├── got10k_ablation.png │ └── got10k_test_success_plot.png │ └── SiamFCv2 │ └── success_plot.png ├── accv2020.jpg ├── iccvw2019.png ├── model ├── __pycache__ │ ├── ResNets.cpython-37.pyc │ └── StudentModel.cpython-37.pyc ├── ResNets.py └── StudentModel.py ├── track ├── __pycache__ │ ├── Trackers.cpython-37.pyc │ └── config_track_accv.cpython-37.pyc ├── config_track_iccvw.py ├── config_track_accv.py └── run_test.py ├── data ├── __pycache__ │ └── DataTransformer.cpython-37.pyc └── DataTransformer.py ├── trackers ├── __pycache__ │ └── ResultsTracker.cpython-37.pyc ├── ResultsTracker.py └── results │ └── OTB2015 │ ├── MDNet │ ├── Deer.txt │ ├── Football1.txt │ ├── Skiing.txt │ ├── KiteSurf.txt │ ├── Matrix.txt │ ├── Bird2.txt │ ├── DragonBaby.txt │ ├── Crossing.txt │ ├── Dog.txt │ ├── Jump.txt │ ├── Human8.txt │ ├── Man.txt │ ├── Trans.txt │ ├── Couple.txt │ ├── Biker.txt │ ├── Dancer2.txt │ ├── Skater.txt │ ├── Ironman.txt │ └── Subway.txt │ ├── SiamFC │ ├── Deer.txt │ ├── Football1.txt │ ├── Skiing.txt │ ├── KiteSurf.txt │ ├── Matrix.txt │ ├── Bird2.txt │ ├── DragonBaby.txt │ ├── Crossing.txt │ ├── Jump.txt │ ├── Human8.txt │ ├── Dog.txt │ ├── Trans.txt │ └── Man.txt │ └── ECO │ ├── Deer.txt │ ├── Football1.txt │ ├── Skiing.txt │ ├── KiteSurf.txt │ ├── Matrix.txt │ ├── Bird2.txt │ ├── DragonBaby.txt │ ├── Crossing.txt │ ├── Jump.txt │ ├── Dog.txt │ ├── Trans.txt │ ├── Human8.txt │ └── Man.txt └── utils.py /got10k/__init__.py: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /got10k/utils/__init__.py: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /accv2020.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/matteo-dunnhofer/vot-kd-rl/HEAD/accv2020.jpg -------------------------------------------------------------------------------- /iccvw2019.png: 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| from .vid import ImageNetVID 11 | from .lasot import LaSOT 12 | -------------------------------------------------------------------------------- /got10k/experiments/__init__.py: -------------------------------------------------------------------------------- 1 | from __future__ import absolute_import 2 | 3 | from .got10k import ExperimentGOT10k 4 | from .otb import ExperimentOTB 5 | from .vot import ExperimentVOT 6 | from .dtb70 import ExperimentDTB70 7 | from .uav123 import ExperimentUAV123 8 | from .nfs import ExperimentNfS 9 | from .tcolor128 import ExperimentTColor128 10 | from .lasot import ExperimentLaSOT 11 | from .vid import ExperimentImageNetVID 12 | -------------------------------------------------------------------------------- /got10k/trackers/identity_tracker.py: -------------------------------------------------------------------------------- 1 | from __future__ import absolute_import 2 | 3 | from . import Tracker 4 | 5 | 6 | class IdentityTracker(Tracker): 7 | 8 | def __init__(self): 9 | super(IdentityTracker, self).__init__( 10 | name='IdentityTracker', 11 | is_deterministic=True) 12 | 13 | def init(self, image, box): 14 | self.box = box 15 | 16 | def update(self, image): 17 | return self.box 18 | -------------------------------------------------------------------------------- /track/config_track_iccvw.py: -------------------------------------------------------------------------------- 1 | """ 2 | Written by Matteo Dunnhofer - 2020 3 | 4 | Configuration class for A3CT, A3CTD 5 | """ 6 | 7 | class Configuration(object): 8 | 9 | 10 | DATA_PATH = '' 11 | CKPT_PATH = '' 12 | RESULTS_PATH = './trackers/results' 13 | REPORT_PATH = '../track/reports' 14 | 15 | SIZE = [128, 128] 16 | SEQ_LENGTH = 32 17 | CONTEXT_FACTOR = 1.5 18 | LSTM_UPDATE = False 19 | 20 | USE_RESULTS = True 21 | TRAST_TEACHER = 'SiamFC' 22 | 23 | USE_GPU = True 24 | 25 | def __init__(self): 26 | super(Configuration, self).__init__() 27 | 28 | -------------------------------------------------------------------------------- /track/config_track_accv.py: -------------------------------------------------------------------------------- 1 | """ 2 | Written by Matteo Dunnhofer - 2020 3 | 4 | Configuration class for TRAS, TRAST, TRASFUST 5 | """ 6 | 7 | class Configuration(object): 8 | 9 | 10 | DATA_PATH = '' 11 | CKPT_PATH = '' 12 | RESULTS_PATH = '../trackers/results' 13 | REPORT_PATH = '../track/reports' 14 | 15 | SIZE = [128, 128] 16 | SEQ_LENGTH = 32 17 | CONTEXT_FACTOR = 1.5 18 | LSTM_UPDATE = True 19 | 20 | USE_RESULTS = True 21 | TRAST_TEACHER = 'ECO' 22 | TRASFUST_TEACHERS = ['ECO', 'MDNet'] 23 | 24 | USE_GPU = True 25 | 26 | def __init__(self): 27 | super(Configuration, self).__init__() 28 | 29 | -------------------------------------------------------------------------------- /data/DataTransformer.py: -------------------------------------------------------------------------------- 1 | """ 2 | Written by Matteo Dunnhofer - 2020 3 | 4 | Data transformer class 5 | """ 6 | from torchvision import transforms 7 | import utils as ut 8 | 9 | 10 | class DataTransformer(object): 11 | 12 | def __init__(self, cfg): 13 | self.cfg = cfg 14 | 15 | self.transform = transforms.Compose([ 16 | transforms.Resize((self.cfg.SIZE[0], self.cfg.SIZE[1])), 17 | transforms.ToTensor(), 18 | transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]) 19 | ]) 20 | 21 | def preprocess_img(self, img, crop_bb): 22 | crop = ut.xywh2xyxy(crop_bb) 23 | img = img.crop(crop) 24 | img = self.transform(img) 25 | return img 26 | -------------------------------------------------------------------------------- /model/ResNets.py: -------------------------------------------------------------------------------- 1 | """ 2 | Written by Matteo Dunnhofer - 2020 3 | 4 | ResNet classes definitions 5 | """ 6 | import torch.nn as nn 7 | from torchvision import models 8 | 9 | class ResNet18(nn.Module): 10 | 11 | def __init__(self, cfg, training=False): 12 | super(ResNet18, self).__init__() 13 | 14 | self.name = 'ResNet18' 15 | self.is_training = training 16 | self.cfg = cfg 17 | 18 | resnet = models.resnet18(pretrained=True) 19 | modules = list(resnet.children())[:-2] # delete the last fc layer (and the avg pool for smaller input sizes) 20 | self.cnn_features = nn.Sequential(*modules) 21 | 22 | del resnet 23 | 24 | def forward(self, x): 25 | return self.cnn_features(x) 26 | 27 | -------------------------------------------------------------------------------- /got10k/experiments/dtb70.py: -------------------------------------------------------------------------------- 1 | from __future__ import absolute_import 2 | 3 | import os 4 | 5 | from .otb import ExperimentOTB 6 | from ..datasets import DTB70 7 | 8 | 9 | class ExperimentDTB70(ExperimentOTB): 10 | r"""Experiment pipeline and evaluation toolkit for DTB70 dataset. 11 | 12 | Args: 13 | root_dir (string): Root directory of DTB70 dataset. 14 | result_dir (string, optional): Directory for storing tracking 15 | results. Default is ``./results``. 16 | report_dir (string, optional): Directory for storing performance 17 | evaluation results. Default is ``./reports``. 18 | """ 19 | def __init__(self, root_dir, 20 | result_dir='results', report_dir='reports'): 21 | self.dataset = DTB70(root_dir) 22 | self.result_dir = os.path.join(result_dir, 'DTB70') 23 | self.report_dir = os.path.join(report_dir, 'DTB70') 24 | # as nbins_iou increases, the success score 25 | # converges to the average overlap (AO) 26 | self.nbins_iou = 21 27 | self.nbins_ce = 51 28 | -------------------------------------------------------------------------------- /got10k/experiments/nfs.py: -------------------------------------------------------------------------------- 1 | from __future__ import absolute_import 2 | 3 | import os 4 | 5 | from .otb import ExperimentOTB 6 | from ..datasets import NfS 7 | 8 | 9 | class ExperimentNfS(ExperimentOTB): 10 | r"""Experiment pipeline and evaluation toolkit for NfS dataset. 11 | 12 | Args: 13 | root_dir (string): Root directory of NfS dataset. 14 | result_dir (string, optional): Directory for storing tracking 15 | results. Default is ``./results``. 16 | report_dir (string, optional): Directory for storing performance 17 | evaluation results. Default is ``./reports``. 18 | """ 19 | def __init__(self, root_dir, fps=240, 20 | result_dir='results', report_dir='reports'): 21 | self.dataset = NfS(root_dir, fps) 22 | self.result_dir = os.path.join(result_dir, 'NfS/%d' % fps) 23 | self.report_dir = os.path.join(report_dir, 'NfS/%d' % fps) 24 | # as nbins_iou increases, the success score 25 | # converges to the average overlap (AO) 26 | self.nbins_iou = 21 27 | self.nbins_ce = 51 28 | -------------------------------------------------------------------------------- /got10k/experiments/tcolor128.py: -------------------------------------------------------------------------------- 1 | from __future__ import absolute_import 2 | 3 | import os 4 | 5 | from .otb import ExperimentOTB 6 | from ..datasets import TColor128 7 | 8 | 9 | class ExperimentTColor128(ExperimentOTB): 10 | r"""Experiment pipeline and evaluation toolkit for TColor128 dataset. 11 | 12 | Args: 13 | root_dir (string): Root directory of TColor128 dataset. 14 | result_dir (string, optional): Directory for storing tracking 15 | results. Default is ``./results``. 16 | report_dir (string, optional): Directory for storing performance 17 | evaluation results. Default is ``./reports``. 18 | """ 19 | def __init__(self, root_dir, 20 | result_dir='results', report_dir='reports'): 21 | self.dataset = TColor128(root_dir) 22 | self.result_dir = os.path.join(result_dir, 'TColor128') 23 | self.report_dir = os.path.join(report_dir, 'TColor128') 24 | # as nbins_iou increases, the success score 25 | # converges to the average overlap (AO) 26 | self.nbins_iou = 21 27 | self.nbins_ce = 51 28 | -------------------------------------------------------------------------------- /trackers/ResultsTracker.py: -------------------------------------------------------------------------------- 1 | """ 2 | Written by Matteo Dunnhofer - 2020 3 | 4 | Class that defines a tracker based on stored results 5 | """ 6 | import os 7 | import numpy as np 8 | 9 | 10 | class ResultsTracker(object): 11 | 12 | def __init__(self, name): 13 | self.name = name 14 | 15 | def init(self, image, bbox, **kwargs): 16 | 17 | result_dir = kwargs['result_dir'] 18 | seq_name = kwargs['seq_name'] 19 | seq_results_path = os.path.join(result_dir, self.name, seq_name + '.txt') 20 | 21 | self.result = self.load_predictions(seq_results_path) 22 | 23 | self.step = 0 24 | 25 | def update(self, image): 26 | self.step += 1 27 | 28 | return np.array(self.result[self.step]) 29 | 30 | def load_predictions(self, result_file_path): 31 | """ 32 | Load the predictions of the tracker for the given sequence 33 | """ 34 | 35 | #if 'GOT-10k' in self.dataset: 36 | # f_name = seq_name + '/' + seq_name + '_001' 37 | #else: 38 | # f_name = seq_name 39 | 40 | #self.seq_pred_file_path = os.path.join(self.tracker_path, f_name + '.txt') 41 | 42 | with open(result_file_path) as f: 43 | content = f.readlines() 44 | 45 | f.close() 46 | 47 | predictions = [] 48 | for c in content: 49 | ccs = c.split(',') 50 | x, y, w, h = float(ccs[0]), float(ccs[1]), float(ccs[2]), float(ccs[3]) 51 | 52 | predictions.append([x, y, w, h]) 53 | 54 | return predictions 55 | 56 | 57 | -------------------------------------------------------------------------------- /got10k/utils/ioutils.py: -------------------------------------------------------------------------------- 1 | from __future__ import absolute_import, division 2 | 3 | import wget 4 | import os 5 | import shutil 6 | import zipfile 7 | import sys 8 | 9 | 10 | def download(url, filename): 11 | r"""Download file from the internet. 12 | 13 | Args: 14 | url (string): URL of the internet file. 15 | filename (string): Path to store the downloaded file. 16 | """ 17 | return wget.download(url, out=filename) 18 | 19 | 20 | def extract(filename, extract_dir): 21 | r"""Extract zip file. 22 | 23 | Args: 24 | filename (string): Path of the zip file. 25 | extract_dir (string): Directory to store the extracted results. 26 | """ 27 | if os.path.splitext(filename)[1] == '.zip': 28 | if not os.path.isdir(extract_dir): 29 | os.makedirs(extract_dir) 30 | with zipfile.ZipFile(filename) as z: 31 | z.extractall(extract_dir) 32 | else: 33 | raise Exception('Unsupport extension {} of the compressed file {}.'.format( 34 | os.path.splitext(filename)[1]), filename) 35 | 36 | 37 | def compress(dirname, save_file): 38 | """Compress a folder to a zip file. 39 | 40 | Arguments: 41 | dirname {string} -- Directory of all files to be compressed. 42 | save_file {string} -- Path to store the zip file. 43 | """ 44 | shutil.make_archive(save_file, 'zip', dirname) 45 | -------------------------------------------------------------------------------- /got10k/trackers/__init__.py: -------------------------------------------------------------------------------- 1 | from __future__ import absolute_import 2 | 3 | import numpy as np 4 | import time 5 | from PIL import Image 6 | 7 | from ..utils.viz import show_frame 8 | 9 | 10 | class Tracker(object): 11 | 12 | def __init__(self, name, is_deterministic=False): 13 | self.name = name 14 | self.is_deterministic = is_deterministic 15 | 16 | def init(self, image, box): 17 | raise NotImplementedError() 18 | 19 | def update(self, image): 20 | raise NotImplementedError() 21 | 22 | def track(self, img_files, box, visualize=False, result_dir=None, seq_name=None, anno=None): 23 | frame_num = len(img_files) 24 | boxes = np.zeros((frame_num, 4)) 25 | boxes[0] = box 26 | times = np.zeros(frame_num) 27 | 28 | for f, img_file in enumerate(img_files): 29 | image = Image.open(img_file) 30 | if not image.mode == 'RGB': 31 | image = image.convert('RGB') 32 | 33 | start_time = time.time() 34 | if f == 0: 35 | kwargs = {'result_dir': result_dir, 'seq_name': seq_name, 'anno': anno} 36 | self.init(image, box, **kwargs) 37 | else: 38 | boxes[f, :] = self.update(image) 39 | times[f] = time.time() - start_time 40 | 41 | if visualize: 42 | show_frame(image, boxes[f, :]) 43 | 44 | return boxes, times 45 | 46 | 47 | from .identity_tracker import IdentityTracker 48 | -------------------------------------------------------------------------------- /got10k/experiments/uav123.py: -------------------------------------------------------------------------------- 1 | from __future__ import absolute_import 2 | 3 | import os 4 | import numpy as np 5 | 6 | from .otb import ExperimentOTB 7 | from ..datasets import UAV123 8 | from ..utils.metrics import rect_iou, center_error 9 | 10 | 11 | class ExperimentUAV123(ExperimentOTB): 12 | r"""Experiment pipeline and evaluation toolkit for UAV123 dataset. 13 | 14 | Args: 15 | root_dir (string): Root directory of UAV123 dataset. 16 | result_dir (string, optional): Directory for storing tracking 17 | results. Default is ``./results``. 18 | report_dir (string, optional): Directory for storing performance 19 | evaluation results. Default is ``./reports``. 20 | """ 21 | def __init__(self, root_dir, version='UAV123', 22 | result_dir='results', report_dir='reports'): 23 | assert version.upper() in ['UAV123', 'UAV20L'] 24 | self.dataset = UAV123(root_dir, version) 25 | self.result_dir = os.path.join(result_dir, version.upper()) 26 | self.report_dir = os.path.join(report_dir, version.upper()) 27 | # as nbins_iou increases, the success score 28 | # converges to the average overlap (AO) 29 | self.nbins_iou = 21 30 | self.nbins_ce = 51 31 | 32 | def _calc_metrics(self, boxes, anno): 33 | valid = ~np.any(np.isnan(anno), axis=1) 34 | if len(valid) == 0: 35 | print('Warning: no valid annotations') 36 | return None, None 37 | else: 38 | ious = rect_iou(boxes[valid, :], anno[valid, :]) 39 | center_errors = center_error( 40 | boxes[valid, :], anno[valid, :]) 41 | return ious, center_errors 42 | -------------------------------------------------------------------------------- /trackers/results/OTB2015/MDNet/Deer.txt: -------------------------------------------------------------------------------- 1 | 306.0,5.0,95.0,65.0 2 | 308.0,18.0,95.0,70.0 3 | 313.0,38.0,95.0,72.0 4 | 319.0,67.0,93.0,72.0 5 | 322.0,102.0,102.0,71.0 6 | 323.0,136.0,104.0,70.0 7 | 321.0,160.0,103.0,60.0 8 | 314.0,147.0,102.0,68.0 9 | 308.0,120.0,107.0,73.0 10 | 307.0,93.0,105.0,74.0 11 | 294.0,73.0,107.0,70.0 12 | 267.0,54.0,110.0,65.0 13 | 242.0,43.0,112.0,67.0 14 | 228.0,36.0,107.0,65.0 15 | 212.0,33.0,105.0,63.0 16 | 202.0,32.0,103.0,63.0 17 | 197.0,38.0,105.0,65.0 18 | 200.0,50.0,104.0,68.0 19 | 208.0,67.0,101.0,71.0 20 | 216.0,90.0,101.0,72.0 21 | 224.0,115.0,103.0,69.0 22 | 235.0,136.0,105.0,66.0 23 | 241.0,140.0,102.0,59.0 24 | 252.0,115.0,96.0,64.0 25 | 260.0,81.0,113.0,65.0 26 | 279.0,62.0,105.0,66.0 27 | 275.0,43.0,102.0,65.0 28 | 259.0,29.0,106.0,61.0 29 | 240.0,25.0,103.0,59.0 30 | 235.0,20.0,98.0,61.0 31 | 230.0,20.0,96.0,62.0 32 | 233.0,22.0,97.0,68.0 33 | 240.0,30.0,101.0,71.0 34 | 256.0,49.0,99.0,70.0 35 | 274.0,71.0,97.0,65.0 36 | 295.0,98.0,100.0,63.0 37 | 324.0,129.0,98.0,62.0 38 | 350.0,157.0,101.0,65.0 39 | 366.0,183.0,103.0,56.0 40 | 381.0,189.0,107.0,54.0 41 | 404.0,174.0,104.0,60.0 42 | 421.0,151.0,103.0,63.0 43 | 421.0,134.0,102.0,62.0 44 | 399.0,118.0,106.0,62.0 45 | 359.0,112.0,112.0,60.0 46 | 340.0,109.0,105.0,60.0 47 | 329.0,103.0,101.0,61.0 48 | 320.0,100.0,100.0,61.0 49 | 314.0,97.0,98.0,61.0 50 | 312.0,96.0,95.0,61.0 51 | 311.0,103.0,97.0,61.0 52 | 316.0,112.0,102.0,66.0 53 | 331.0,130.0,100.0,65.0 54 | 331.0,147.0,105.0,69.0 55 | 338.0,164.0,98.0,60.0 56 | 340.0,160.0,103.0,65.0 57 | 349.0,142.0,96.0,66.0 58 | 366.0,124.0,95.0,64.0 59 | 383.0,100.0,94.0,65.0 60 | 393.0,75.0,92.0,67.0 61 | 389.0,50.0,94.0,65.0 62 | 369.0,28.0,100.0,64.0 63 | 352.0,14.0,96.0,61.0 64 | 344.0,7.0,92.0,59.0 65 | 346.0,5.0,88.0,55.0 66 | 344.0,5.0,87.0,54.0 67 | 340.0,6.0,89.0,56.0 68 | 339.0,12.0,90.0,60.0 69 | 343.0,23.0,91.0,62.0 70 | 350.0,41.0,93.0,59.0 71 | 361.0,60.0,91.0,58.0 72 | -------------------------------------------------------------------------------- /trackers/results/OTB2015/MDNet/Football1.txt: -------------------------------------------------------------------------------- 1 | 153.0,105.0,26.0,43.0 2 | 153.0,99.0,25.0,42.0 3 | 153.0,93.0,25.0,42.0 4 | 153.0,87.0,26.0,44.0 5 | 152.0,79.0,25.0,46.0 6 | 152.0,76.0,26.0,42.0 7 | 152.0,74.0,25.0,41.0 8 | 149.0,72.0,25.0,40.0 9 | 146.0,70.0,25.0,41.0 10 | 141.0,69.0,26.0,41.0 11 | 135.0,67.0,26.0,41.0 12 | 129.0,66.0,27.0,41.0 13 | 122.0,65.0,27.0,42.0 14 | 116.0,63.0,26.0,42.0 15 | 111.0,64.0,25.0,41.0 16 | 109.0,63.0,23.0,39.0 17 | 110.0,61.0,24.0,40.0 18 | 111.0,59.0,23.0,40.0 19 | 109.0,57.0,24.0,40.0 20 | 104.0,53.0,26.0,39.0 21 | 99.0,51.0,26.0,40.0 22 | 93.0,48.0,27.0,41.0 23 | 87.0,45.0,25.0,40.0 24 | 83.0,42.0,24.0,40.0 25 | 79.0,41.0,23.0,39.0 26 | 77.0,40.0,23.0,38.0 27 | 76.0,38.0,23.0,37.0 28 | 78.0,40.0,24.0,39.0 29 | 82.0,36.0,24.0,43.0 30 | 85.0,41.0,25.0,40.0 31 | 89.0,42.0,25.0,40.0 32 | 92.0,46.0,26.0,41.0 33 | 96.0,51.0,26.0,42.0 34 | 98.0,55.0,26.0,44.0 35 | 102.0,62.0,25.0,46.0 36 | 107.0,71.0,26.0,43.0 37 | 110.0,72.0,26.0,42.0 38 | 113.0,70.0,26.0,41.0 39 | 119.0,70.0,27.0,40.0 40 | 122.0,65.0,27.0,44.0 41 | 129.0,56.0,27.0,47.0 42 | 135.0,50.0,26.0,46.0 43 | 142.0,46.0,26.0,46.0 44 | 146.0,44.0,25.0,44.0 45 | 150.0,43.0,25.0,44.0 46 | 155.0,42.0,25.0,44.0 47 | 158.0,41.0,25.0,42.0 48 | 162.0,44.0,24.0,43.0 49 | 165.0,43.0,24.0,45.0 50 | 168.0,45.0,25.0,42.0 51 | 170.0,45.0,23.0,41.0 52 | 172.0,45.0,23.0,42.0 53 | 176.0,42.0,24.0,41.0 54 | 182.0,43.0,25.0,42.0 55 | 190.0,48.0,25.0,43.0 56 | 199.0,51.0,25.0,43.0 57 | 206.0,53.0,23.0,42.0 58 | 213.0,60.0,22.0,42.0 59 | 220.0,68.0,23.0,42.0 60 | 226.0,70.0,26.0,49.0 61 | 234.0,78.0,23.0,41.0 62 | 239.0,82.0,24.0,42.0 63 | 246.0,82.0,25.0,40.0 64 | 252.0,87.0,26.0,42.0 65 | 256.0,96.0,24.0,41.0 66 | 258.0,98.0,23.0,42.0 67 | 260.0,100.0,22.0,42.0 68 | 261.0,104.0,21.0,42.0 69 | 261.0,105.0,22.0,41.0 70 | 260.0,107.0,23.0,44.0 71 | 255.0,111.0,26.0,47.0 72 | 243.0,117.0,28.0,46.0 73 | 228.0,124.0,29.0,46.0 74 | 215.0,135.0,26.0,50.0 75 | -------------------------------------------------------------------------------- /model/StudentModel.py: -------------------------------------------------------------------------------- 1 | """ 2 | Written by Matteo Dunnhofer - 2020 3 | 4 | Class that defines the student model 5 | """ 6 | import torch 7 | import torch.nn as nn 8 | import torch.nn.functional as F 9 | from torch.autograd import Variable 10 | from model.ResNets import ResNet18 11 | 12 | 13 | class StudentModel(torch.nn.Module): 14 | 15 | def __init__(self, cfg): 16 | super(StudentModel, self).__init__() 17 | 18 | self.model_name = 'StudentModel' 19 | 20 | self.cfg = cfg 21 | 22 | self.lstm_layers = 1 23 | self.lstm_size = 512 24 | 25 | self.cnn_features = ResNet18(self.cfg) 26 | 27 | self.fc = nn.Linear(8192 * 2, 512) 28 | 29 | self.fc2 = nn.Linear(512, 512) 30 | 31 | self.lstm = nn.LSTM(512, hidden_size=self.lstm_size, num_layers=self.lstm_layers) 32 | 33 | self.actor_policy = nn.Linear(self.lstm_size, 4) 34 | 35 | self.critic = nn.Linear(self.lstm_size, 1) 36 | 37 | 38 | def forward(self, x1, x2, state, device): 39 | x, n_state = self.get_feats(x1, x2, state, device) 40 | 41 | return self.actor_policy(x), self.critic(x), n_state 42 | 43 | def init_state(self, device): 44 | """ 45 | Returns the initial state of the model 46 | """ 47 | return (torch.zeros(self.lstm_layers, 1, self.lstm_size).to(device), 48 | torch.zeros(self.lstm_layers, 1, self.lstm_size).to(device)) 49 | 50 | def get_feats(self, x1, x2, state, device): 51 | """ 52 | Function that executes the model 53 | """ 54 | x1 = self.cnn_features(x1) 55 | x2 = self.cnn_features(x2) 56 | 57 | x1 = x1.reshape(x1.size(0), -1) 58 | x2 = x2.reshape(x2.size(0), -1) 59 | 60 | x = torch.cat([x1, x2], dim=1) 61 | 62 | x = F.relu(self.fc(x)) 63 | 64 | x = F.relu(self.fc2(x)) 65 | 66 | state = (Variable(state[0].data.to(device)), Variable(state[1].data.to(device))) 67 | 68 | x, n_state = self.lstm(x.unsqueeze(0), state) 69 | x = x.squeeze(0) 70 | 71 | return x, n_state 72 | -------------------------------------------------------------------------------- /utils.py: -------------------------------------------------------------------------------- 1 | """ 2 | Written by Matteo Dunnhofer - 2020 3 | 4 | Utility functions 5 | """ 6 | import numpy as np 7 | 8 | 9 | def clip(value, min_value, max_value): 10 | return max(min(value, max_value), min_value) 11 | 12 | def cxcywh2xyxy(bbox): 13 | x1 = bbox[0] - (bbox[2] / 2) 14 | y1 = bbox[1] - (bbox[3] / 2) 15 | 16 | return [x1, y1, x1 + bbox[2], y1 + bbox[3]] 17 | 18 | def xywh2xyxy(bbox): 19 | x1 = bbox[0] 20 | y1 = bbox[1] 21 | 22 | return [x1, y1, x1 + bbox[2], y1 + bbox[3]] 23 | 24 | def xyxy2cxcywh(bbox): 25 | w = bbox[2] - bbox[0] 26 | h = bbox[3] - bbox[1] 27 | x = bbox[0] + (w / 2) 28 | y = bbox[1] + (h / 2) 29 | 30 | return [x, y, w, h] 31 | 32 | def xyxy2xywh(bbox): 33 | w = bbox[2] - bbox[0] 34 | h = bbox[3] - bbox[1] 35 | x = bbox[0] 36 | y = bbox[1] 37 | 38 | return [x, y, w, h] 39 | 40 | 41 | def clip_bb(bbox, image): 42 | x = clip(bbox[0], 0, image.size[0]) 43 | y = clip(bbox[1], 0, image.size[1]) 44 | w = clip(bbox[2], 0, image.size[0]) 45 | h = clip(bbox[3], 0, image.size[1]) 46 | 47 | bbox = np.array([x, y, w, h]) 48 | 49 | return bbox 50 | 51 | def get_crop_bb(bb, img_w, img_h, k): 52 | # compute the coordinates of a padded crop 53 | 54 | w = clip(bb[2], 0, img_w) 55 | h = clip(bb[3], 0, img_h) 56 | 57 | cx = clip(bb[0] + (w / 2), 0, img_w) 58 | cy = clip(bb[1] + (h / 2), 0, img_h) 59 | 60 | new_w = k * w 61 | new_h = k * h 62 | 63 | new_x1 = cx - (new_w / 2) 64 | new_y1 = cy - (new_h / 2) 65 | new_x2 = cx + (new_w / 2) 66 | new_y2 = cy + (new_h / 2) 67 | 68 | crop = [new_x1, new_y1, new_w, new_h] 69 | 70 | return crop 71 | 72 | def denorm_action(action, old_bb): 73 | # from shift to bounding box coordinates 74 | norm_coeff = 1.0 75 | new_x = old_bb[0] + (norm_coeff * action[0] * old_bb[2]) 76 | new_y = old_bb[1] + (norm_coeff * action[1] * old_bb[3]) 77 | new_w = old_bb[2] + (norm_coeff * action[2] * old_bb[2]) 78 | new_h = old_bb[3] + (norm_coeff * action[3] * old_bb[3]) 79 | 80 | return [new_x, new_y, new_w, new_h] -------------------------------------------------------------------------------- /trackers/results/OTB2015/MDNet/Skiing.txt: -------------------------------------------------------------------------------- 1 | 446.0,181.0,29.0,26.0 2 | 442.0,173.0,29.0,28.0 3 | 441.0,170.0,28.0,29.0 4 | 440.0,167.0,27.0,29.0 5 | 438.0,163.0,28.0,29.0 6 | 439.0,160.0,26.0,29.0 7 | 436.0,153.0,26.0,29.0 8 | 436.0,152.0,27.0,29.0 9 | 432.0,150.0,32.0,30.0 10 | 433.0,148.0,29.0,25.0 11 | 431.0,147.0,31.0,24.0 12 | 426.0,142.0,30.0,24.0 13 | 424.0,140.0,32.0,25.0 14 | 427.0,128.0,31.0,25.0 15 | 425.0,122.0,29.0,28.0 16 | 419.0,122.0,34.0,25.0 17 | 426.0,113.0,28.0,28.0 18 | 422.0,107.0,28.0,28.0 19 | 421.0,103.0,28.0,27.0 20 | 419.0,101.0,29.0,27.0 21 | 417.0,98.0,29.0,28.0 22 | 412.0,92.0,32.0,30.0 23 | 407.0,91.0,34.0,30.0 24 | 400.0,88.0,41.0,31.0 25 | 395.0,87.0,41.0,32.0 26 | 397.0,87.0,35.0,36.0 27 | 386.0,86.0,35.0,37.0 28 | 377.0,87.0,38.0,35.0 29 | 372.0,90.0,37.0,35.0 30 | 366.0,92.0,35.0,35.0 31 | 360.0,96.0,36.0,37.0 32 | 349.0,105.0,35.0,34.0 33 | 341.0,111.0,36.0,34.0 34 | 334.0,114.0,37.0,35.0 35 | 325.0,115.0,39.0,40.0 36 | 319.0,122.0,37.0,39.0 37 | 307.0,132.0,36.0,36.0 38 | 303.0,139.0,36.0,40.0 39 | 298.0,143.0,36.0,32.0 40 | 293.0,150.0,34.0,33.0 41 | 289.0,153.0,37.0,37.0 42 | 280.0,165.0,39.0,34.0 43 | 275.0,169.0,37.0,35.0 44 | 271.0,175.0,41.0,39.0 45 | 270.0,178.0,37.0,40.0 46 | 267.0,182.0,36.0,40.0 47 | 265.0,189.0,33.0,40.0 48 | 262.0,197.0,32.0,38.0 49 | 259.0,202.0,34.0,36.0 50 | 256.0,205.0,36.0,38.0 51 | 256.0,212.0,33.0,35.0 52 | 250.0,224.0,34.0,31.0 53 | 249.0,228.0,33.0,31.0 54 | 249.0,232.0,30.0,33.0 55 | 248.0,236.0,26.0,35.0 56 | 246.0,241.0,26.0,34.0 57 | 242.0,252.0,25.0,29.0 58 | 239.0,256.0,26.0,30.0 59 | 237.0,261.0,26.0,30.0 60 | 236.0,266.0,24.0,29.0 61 | 232.0,270.0,26.0,28.0 62 | 227.0,275.0,28.0,28.0 63 | 224.0,277.0,27.0,27.0 64 | 222.0,277.0,27.0,27.0 65 | 221.0,278.0,26.0,26.0 66 | 219.0,279.0,26.0,26.0 67 | 214.0,280.0,26.0,25.0 68 | 213.0,281.0,26.0,24.0 69 | 210.0,280.0,26.0,24.0 70 | 208.0,280.0,25.0,25.0 71 | 207.0,279.0,25.0,25.0 72 | 203.0,277.0,25.0,24.0 73 | 202.0,277.0,24.0,24.0 74 | 201.0,275.0,24.0,25.0 75 | 201.0,273.0,24.0,25.0 76 | 199.0,273.0,24.0,24.0 77 | 196.0,271.0,23.0,25.0 78 | 194.0,270.0,23.0,26.0 79 | 194.0,269.0,23.0,26.0 80 | 194.0,268.0,22.0,25.0 81 | 193.0,268.0,22.0,25.0 82 | -------------------------------------------------------------------------------- /trackers/results/OTB2015/MDNet/KiteSurf.txt: -------------------------------------------------------------------------------- 1 | 204.0,41.0,23.0,30.0 2 | 204.0,39.0,23.0,31.0 3 | 200.0,38.0,24.0,30.0 4 | 199.0,39.0,23.0,29.0 5 | 199.0,40.0,24.0,30.0 6 | 199.0,42.0,24.0,30.0 7 | 197.0,45.0,24.0,30.0 8 | 194.0,50.0,24.0,30.0 9 | 191.0,56.0,24.0,29.0 10 | 189.0,60.0,25.0,29.0 11 | 188.0,65.0,24.0,29.0 12 | 186.0,71.0,24.0,28.0 13 | 184.0,76.0,25.0,28.0 14 | 185.0,81.0,23.0,28.0 15 | 187.0,87.0,22.0,28.0 16 | 188.0,90.0,21.0,28.0 17 | 190.0,94.0,20.0,26.0 18 | 191.0,94.0,22.0,33.0 19 | 191.0,96.0,21.0,35.0 20 | 189.0,99.0,24.0,33.0 21 | 191.0,100.0,23.0,30.0 22 | 191.0,99.0,21.0,29.0 23 | 188.0,97.0,22.0,25.0 24 | 187.0,88.0,21.0,26.0 25 | 184.0,77.0,22.0,26.0 26 | 179.0,65.0,21.0,28.0 27 | 176.0,55.0,22.0,25.0 28 | 170.0,44.0,24.0,26.0 29 | 165.0,36.0,22.0,27.0 30 | 159.0,31.0,25.0,29.0 31 | 155.0,26.0,24.0,27.0 32 | 152.0,21.0,23.0,27.0 33 | 151.0,19.0,20.0,26.0 34 | 147.0,15.0,23.0,32.0 35 | 158.0,20.0,21.0,29.0 36 | 163.0,25.0,23.0,30.0 37 | 158.0,28.0,23.0,30.0 38 | 156.0,32.0,22.0,30.0 39 | 157.0,39.0,21.0,31.0 40 | 144.0,44.0,22.0,26.0 41 | 148.0,57.0,19.0,26.0 42 | 152.0,66.0,19.0,26.0 43 | 157.0,73.0,21.0,26.0 44 | 163.0,77.0,21.0,25.0 45 | 170.0,80.0,19.0,26.0 46 | 177.0,82.0,19.0,26.0 47 | 182.0,84.0,19.0,26.0 48 | 183.0,84.0,19.0,25.0 49 | 186.0,86.0,19.0,25.0 50 | 191.0,87.0,19.0,26.0 51 | 196.0,89.0,18.0,25.0 52 | 202.0,90.0,17.0,25.0 53 | 205.0,90.0,19.0,24.0 54 | 208.0,89.0,18.0,25.0 55 | 212.0,87.0,19.0,24.0 56 | 217.0,86.0,18.0,23.0 57 | 222.0,84.0,18.0,23.0 58 | 225.0,86.0,19.0,24.0 59 | 230.0,89.0,17.0,23.0 60 | 234.0,93.0,17.0,24.0 61 | 235.0,100.0,17.0,23.0 62 | 233.0,104.0,19.0,25.0 63 | 232.0,107.0,18.0,24.0 64 | 229.0,110.0,18.0,23.0 65 | 226.0,111.0,17.0,25.0 66 | 223.0,114.0,17.0,24.0 67 | 223.0,116.0,17.0,23.0 68 | 224.0,117.0,17.0,24.0 69 | 225.0,115.0,19.0,25.0 70 | 224.0,113.0,19.0,24.0 71 | 223.0,110.0,19.0,23.0 72 | 222.0,105.0,20.0,25.0 73 | 222.0,102.0,21.0,26.0 74 | 224.0,97.0,19.0,26.0 75 | 223.0,94.0,19.0,25.0 76 | 221.0,91.0,20.0,25.0 77 | 221.0,88.0,20.0,25.0 78 | 223.0,86.0,19.0,25.0 79 | 226.0,83.0,19.0,27.0 80 | 227.0,81.0,20.0,29.0 81 | 226.0,80.0,21.0,29.0 82 | 223.0,81.0,19.0,27.0 83 | 222.0,81.0,20.0,28.0 84 | 224.0,83.0,19.0,27.0 85 | -------------------------------------------------------------------------------- /track/run_test.py: -------------------------------------------------------------------------------- 1 | """ 2 | Written by Matteo Dunnhofer - 2020 3 | 4 | Script to run experiements with the GOT-10k framework 5 | """ 6 | import sys 7 | sys.path.insert(0, '..') 8 | import argparse 9 | from got10k.experiments import * 10 | from Trackers import Tracker_got10k 11 | 12 | 13 | if __name__ == '__main__': 14 | parser = argparse.ArgumentParser() 15 | parser.add_argument('--dataset', help='Name of the dataset to test on', type=str) 16 | parser.add_argument('--tracker', help='Tracker to run, either TRAS, TRAST or TRASFUST') 17 | parser.add_argument('--visualize', help='Visualize predictions while testing', action="store_true") 18 | args = parser.parse_args() 19 | 20 | if 'TRAS' in args.tracker: 21 | from config_track_accv import Configuration 22 | else: 23 | from config_track_iccvw import Configuration 24 | 25 | cfg = Configuration() 26 | 27 | base_data_path = cfg.DATA_PATH 28 | 29 | # setup tracker 30 | tracker = Tracker_got10k(args.tracker, cfg) 31 | 32 | # setup experiments 33 | if args.dataset == 'GOT10k': 34 | e = ExperimentGOT10k(base_data_path + 'GOT-10k', 35 | result_dir=cfg.RESULTS_PATH, 36 | report_dir=cfg.REPORT_PATH, 37 | subset='test') 38 | elif 'OTB' in args.dataset: 39 | version = int(''.join(list(filter(str.isdigit, args.dataset)))) 40 | e = ExperimentOTB(base_data_path + 'OTB', version=version, 41 | result_dir=cfg.RESULTS_PATH, 42 | report_dir=cfg.REPORT_PATH) 43 | elif 'VOT' in args.dataset: 44 | version = int(''.join(list(filter(str.isdigit, args.dataset)))) 45 | e = ExperimentVOT(base_data_path + 'VOT/'+str(version), version=version, 46 | result_dir=cfg.RESULTS_PATH, 47 | report_dir=cfg.REPORT_PATH) 48 | elif args.dataset == 'UAV123': 49 | e = ExperimentUAV123(base_data_path + 'UAV123', version='UAV123', 50 | result_dir=cfg.RESULTS_PATH, 51 | report_dir=cfg.REPORT_PATH) 52 | elif args.dataset == 'LaSOT': 53 | e = ExperimentLaSOT(base_data_path + 'LaSOTBenchmark', 54 | result_dir=cfg.RESULTS_PATH, 55 | report_dir=cfg.REPORT_PATH) 56 | 57 | 58 | # run tracking experiments and report performance 59 | e.run(tracker, visualize=args.visualize) 60 | e.report([tracker.name]) 61 | -------------------------------------------------------------------------------- /trackers/results/OTB2015/SiamFC/Deer.txt: -------------------------------------------------------------------------------- 1 | 306.000,5.000,95.000,65.000 2 | 309.136,18.170,95.000,65.000 3 | 314.780,36.357,95.000,65.000 4 | 321.679,67.715,95.000,65.000 5 | 327.323,101.581,95.000,65.000 6 | 330.459,134.819,95.000,65.000 7 | 330.459,152.380,95.000,65.000 8 | 322.306,146.108,95.000,65.000 9 | 316.661,122.904,95.000,65.000 10 | 311.644,99.072,95.000,65.000 11 | 302.864,72.732,95.000,65.000 12 | 280.287,50.155,95.000,65.000 13 | 251.438,38.866,95.000,65.000 14 | 231.997,35.103,95.000,65.000 15 | 218.827,29.459,95.000,65.000 16 | 208.792,26.950,95.000,65.000 17 | 204.402,33.222,95.000,65.000 18 | 203.148,45.765,95.000,65.000 19 | 208.792,66.460,95.000,65.000 20 | 218.199,89.038,95.000,65.000 21 | 226.979,113.496,95.000,65.000 22 | 240.150,129.802,95.000,65.000 23 | 250.184,134.192,95.000,65.000 24 | 260.845,110.988,95.000,65.000 25 | 275.897,79.630,95.000,65.000 26 | 287.186,58.935,95.000,65.000 27 | 282.796,43.883,95.000,65.000 28 | 267.744,28.832,95.000,65.000 29 | 249.557,18.170,95.000,65.000 30 | 238.895,13.780,95.000,65.000 31 | 233.251,10.017,95.000,65.000 32 | 230.742,11.899,95.000,65.000 33 | 240.777,25.696,95.000,65.000 34 | 255.828,48.900,95.000,65.000 35 | 270.880,72.732,95.000,65.000 36 | 295.966,95.936,95.000,65.000 37 | 327.323,126.666,95.000,65.000 38 | 349.273,154.261,95.000,65.000 39 | 371.223,174.957,95.000,65.000 40 | 385.648,181.228,95.000,65.000 41 | 410.106,168.685,95.000,65.000 42 | 423.904,149.871,95.000,65.000 43 | 427.039,132.938,95.000,65.000 44 | 406.344,117.259,95.000,65.000 45 | 371.223,107.852,95.000,65.000 46 | 344.883,104.716,95.000,65.000 47 | 333.594,99.072,95.000,65.000 48 | 322.933,94.055,95.000,65.000 49 | 316.034,91.546,95.000,65.000 50 | 311.644,92.801,95.000,65.000 51 | 313.526,97.191,95.000,65.000 52 | 321.052,105.343,95.000,65.000 53 | 334.222,122.276,95.000,65.000 54 | 332.340,139.837,95.000,65.000 55 | 335.476,146.108,95.000,65.000 56 | 342.375,148.617,95.000,65.000 57 | 351.782,141.718,95.000,65.000 58 | 367.460,123.531,95.000,65.000 59 | 380.630,100.953,95.000,65.000 60 | 390.665,77.122,95.000,65.000 61 | 390.665,51.409,95.000,65.000 62 | 375.613,28.204,95.000,65.000 63 | 353.663,10.017,95.000,65.000 64 | 343.629,3.746,95.000,65.000 65 | 342.224,2.625,92.974,63.614 66 | 339.769,0.784,92.974,63.614 67 | 338.394,3.237,90.991,62.257 68 | 337.793,9.244,90.991,62.257 69 | 341.998,17.053,90.991,62.257 70 | 348.005,38.077,90.991,62.257 71 | 360.018,57.899,90.991,62.257 72 | -------------------------------------------------------------------------------- /trackers/results/OTB2015/ECO/Deer.txt: -------------------------------------------------------------------------------- 1 | 306.000,5.000,95.000,65.000 2 | 310.564,23.936,91.311,62.476 3 | 314.658,47.046,95.000,65.000 4 | 318.967,72.176,98.838,67.626 5 | 324.740,104.004,102.831,70.358 6 | 328.147,136.473,102.831,70.358 7 | 325.666,155.346,98.838,67.626 8 | 322.342,149.928,95.000,65.000 9 | 317.138,125.141,98.838,67.626 10 | 314.757,99.125,95.000,65.000 11 | 301.308,72.670,98.838,67.626 12 | 273.057,54.479,102.831,70.358 13 | 250.064,43.914,98.838,67.626 14 | 231.243,33.135,102.831,70.358 15 | 215.422,30.272,98.838,67.626 16 | 205.684,33.414,95.000,65.000 17 | 205.125,39.700,91.311,62.476 18 | 204.845,51.498,91.311,62.476 19 | 212.252,70.051,93.137,63.725 20 | 218.707,91.434,96.900,66.300 21 | 229.101,114.027,100.815,68.978 22 | 242.592,134.106,96.900,66.300 23 | 253.901,136.414,95.000,65.000 24 | 260.264,112.266,96.900,66.300 25 | 273.797,82.255,98.838,67.626 26 | 285.901,62.783,95.000,65.000 27 | 281.384,45.610,93.137,63.725 28 | 263.027,30.855,95.000,65.000 29 | 243.198,23.928,95.000,65.000 30 | 236.687,21.183,91.311,62.476 31 | 237.311,21.168,87.765,60.050 32 | 239.405,26.206,89.521,61.251 33 | 247.638,34.344,93.137,63.725 34 | 260.478,49.220,96.900,66.300 35 | 273.103,69.025,100.815,68.978 36 | 299.577,96.320,96.900,66.300 37 | 326.612,126.533,100.815,68.978 38 | 350.155,157.119,98.838,67.626 39 | 373.217,179.217,95.000,65.000 40 | 388.740,182.102,98.838,67.626 41 | 408.519,169.604,102.831,70.358 42 | 422.673,148.316,104.888,71.765 43 | 423.056,129.877,104.888,71.765 44 | 402.577,116.000,100.815,68.978 45 | 367.981,110.136,96.900,66.300 46 | 346.369,106.757,95.000,65.000 47 | 331.855,101.342,95.000,65.000 48 | 324.611,97.477,93.137,63.725 49 | 317.410,97.542,89.521,61.251 50 | 314.545,96.637,93.137,63.725 51 | 315.845,101.341,91.311,62.476 52 | 322.071,113.870,89.521,61.251 53 | 335.799,130.936,91.311,62.476 54 | 341.072,149.802,95.000,65.000 55 | 343.318,163.118,93.137,63.725 56 | 345.378,159.907,96.900,66.300 57 | 350.598,140.998,100.815,68.978 58 | 370.606,122.998,100.815,68.978 59 | 382.333,99.355,102.831,70.358 60 | 391.439,75.670,98.838,67.626 61 | 391.586,51.540,95.000,65.000 62 | 373.737,28.266,96.900,66.300 63 | 355.198,13.441,95.000,65.000 64 | 344.838,3.930,93.137,63.725 65 | 346.740,0.876,89.521,61.251 66 | 342.158,-1.749,93.137,63.725 67 | 339.158,4.184,93.137,63.725 68 | 339.845,12.060,91.311,62.476 69 | 344.738,24.870,89.521,61.251 70 | 352.638,40.278,93.137,63.725 71 | 365.403,59.202,89.520,61.251 72 | -------------------------------------------------------------------------------- /trackers/results/OTB2015/ECO/Football1.txt: -------------------------------------------------------------------------------- 1 | 153.000,105.000,26.000,43.000 2 | 153.017,99.521,25.490,42.157 3 | 152.541,94.569,24.500,40.520 4 | 152.044,88.894,23.549,38.946 5 | 151.725,82.894,23.549,38.946 6 | 151.725,76.894,23.549,38.946 7 | 151.250,74.113,24.500,40.520 8 | 148.414,72.822,24.500,40.520 9 | 144.389,69.942,24.990,41.330 10 | 140.067,68.684,25.490,42.157 11 | 135.287,67.822,24.500,40.520 12 | 129.592,68.897,25.490,42.157 13 | 124.592,66.209,25.490,42.157 14 | 115.799,63.268,26.520,43.860 15 | 109.729,64.000,26.000,43.000 16 | 109.282,61.942,24.990,41.330 17 | 110.668,61.531,24.500,40.520 18 | 111.880,60.247,24.020,39.725 19 | 108.112,56.219,24.990,41.330 20 | 102.943,52.219,24.990,41.330 21 | 99.389,50.389,24.990,41.330 22 | 93.578,49.822,24.500,40.520 23 | 87.592,45.734,25.490,42.157 24 | 86.280,43.209,25.490,42.157 25 | 84.414,44.240,24.500,40.520 26 | 79.956,42.301,23.549,38.946 27 | 79.250,41.240,24.500,40.520 28 | 80.880,41.637,24.020,39.725 29 | 83.086,41.949,24.500,40.520 30 | 87.133,44.390,23.549,38.946 31 | 90.457,46.748,22.635,37.434 32 | 94.767,51.368,22.635,37.434 33 | 98.965,56.085,23.087,38.183 34 | 100.960,61.085,23.087,38.183 35 | 103.973,67.929,22.191,36.700 36 | 109.969,72.085,23.087,38.183 37 | 111.088,73.390,23.549,38.946 38 | 115.495,73.027,23.549,38.946 39 | 121.858,72.345,23.549,38.946 40 | 127.301,68.400,23.087,38.183 41 | 132.301,62.396,23.087,38.183 42 | 135.132,55.213,23.549,38.946 43 | 140.858,44.806,23.549,38.946 44 | 145.767,43.163,22.635,37.434 45 | 151.658,42.880,21.756,35.980 46 | 154.140,42.510,21.756,35.980 47 | 160.390,40.394,21.329,35.275 48 | 163.304,43.331,21.329,35.275 49 | 165.140,41.880,21.756,35.980 50 | 168.140,42.139,21.756,35.980 51 | 169.047,45.360,22.191,36.700 52 | 170.493,40.853,22.635,37.434 53 | 173.457,40.783,22.635,37.434 54 | 181.176,44.657,21.756,35.980 55 | 191.694,47.657,21.756,35.980 56 | 199.806,50.657,21.756,35.980 57 | 206.700,53.024,20.911,34.583 58 | 212.103,66.674,20.099,33.240 59 | 218.182,72.479,20.501,33.905 60 | 224.266,78.695,20.099,33.240 61 | 230.990,84.556,19.318,31.950 62 | 236.919,87.627,19.705,32.589 63 | 242.919,91.767,19.705,32.589 64 | 248.349,96.767,19.705,32.589 65 | 254.919,101.197,19.705,32.589 66 | 256.195,103.788,20.099,33.240 67 | 259.498,106.486,19.705,32.589 68 | 261.622,103.768,20.501,33.905 69 | 260.656,104.141,20.501,33.905 70 | 260.045,107.234,20.911,34.583 71 | 257.367,111.800,21.329,35.275 72 | 247.773,120.781,22.191,36.700 73 | 229.320,132.354,21.329,35.275 74 | 213.636,140.781,22.191,36.700 75 | -------------------------------------------------------------------------------- /trackers/results/OTB2015/SiamFC/Football1.txt: -------------------------------------------------------------------------------- 1 | 153.000,105.000,26.000,43.000 2 | 152.461,99.069,26.000,43.000 3 | 151.382,93.408,26.000,43.000 4 | 151.113,88.016,26.000,43.000 5 | 151.922,81.816,26.000,43.000 6 | 153.539,76.963,26.000,43.000 7 | 152.730,74.807,26.000,43.000 8 | 151.113,72.380,26.000,43.000 9 | 147.608,70.224,26.000,43.000 10 | 142.486,68.337,26.000,43.000 11 | 137.307,67.236,25.446,42.083 12 | 131.239,64.598,25.446,42.083 13 | 125.915,63.012,24.903,41.186 14 | 117.719,62.704,24.372,40.307 15 | 113.170,63.210,24.372,40.307 16 | 111.238,63.153,23.852,39.448 17 | 111.492,61.905,23.343,38.606 18 | 111.250,59.726,23.343,38.606 19 | 109.798,56.580,23.343,38.606 20 | 106.410,53.917,23.343,38.606 21 | 101.569,51.739,23.343,38.606 22 | 96.002,49.318,23.343,38.606 23 | 89.709,46.172,23.343,38.606 24 | 85.352,44.236,23.343,38.606 25 | 80.511,42.541,23.343,38.606 26 | 79.059,41.331,23.343,38.606 27 | 80.511,41.815,23.343,38.606 28 | 86.078,52.465,23.343,38.606 29 | 88.257,55.611,23.343,38.606 30 | 92.238,60.922,22.846,37.783 31 | 97.213,62.344,22.846,37.783 32 | 99.345,64.002,22.846,37.783 33 | 103.608,68.502,22.846,37.783 34 | 105.503,73.951,22.846,37.783 35 | 109.293,80.820,22.846,37.783 36 | 112.373,85.321,22.846,37.783 37 | 117.584,85.558,22.846,37.783 38 | 122.322,87.216,22.846,37.783 39 | 129.191,86.505,22.846,37.783 40 | 126.349,65.897,22.846,37.783 41 | 128.419,60.363,22.358,36.977 42 | 132.903,52.714,21.882,36.189 43 | 142.205,46.815,21.882,36.189 44 | 144.625,42.389,21.415,35.417 45 | 147.422,40.841,20.958,34.662 46 | 151.834,40.163,20.511,33.923 47 | 156.300,41.014,20.511,33.923 48 | 160.004,41.991,20.074,33.199 49 | 162.502,40.742,20.074,33.199 50 | 163.919,41.698,19.646,32.491 51 | 166.681,40.866,19.227,31.798 52 | 169.768,40.052,18.817,31.120 53 | 173.280,38.881,18.817,31.120 54 | 180.251,43.539,18.416,30.457 55 | 189.989,47.167,18.416,30.457 56 | 197.436,51.558,18.416,30.457 57 | 204.501,52.704,18.416,30.457 58 | 203.164,55.377,18.416,30.457 59 | 207.365,59.387,18.416,30.457 60 | 227.796,68.934,18.416,30.457 61 | 232.570,72.753,18.416,30.457 62 | 239.635,79.054,18.416,30.457 63 | 246.318,82.873,18.416,30.457 64 | 253.192,90.702,18.416,30.457 65 | 257.011,96.239,18.416,30.457 66 | 258.920,98.340,18.416,30.457 67 | 285.065,94.239,18.823,31.131 68 | 291.700,99.508,18.823,31.131 69 | 301.849,107.510,18.823,31.131 70 | 309.461,117.074,18.823,31.131 71 | 314.145,127.027,18.823,31.131 72 | 310.242,142.836,18.823,31.131 73 | 317.268,150.643,18.823,31.131 74 | 325.465,137.567,18.823,31.131 75 | -------------------------------------------------------------------------------- /got10k/datasets/dtb70.py: -------------------------------------------------------------------------------- 1 | from __future__ import absolute_import, print_function 2 | 3 | import os 4 | import glob 5 | import numpy as np 6 | import six 7 | 8 | 9 | class DTB70(object): 10 | """`DTB70 `_ Dataset. 11 | 12 | Publication: 13 | ``Visual object tracking for unmanned aerial vehicles: A benchmark and new motion models``, 14 | Y. Wu, J. Lim and M.-H. Yang, IEEE TPAMI 2015. 15 | 16 | Args: 17 | root_dir (string): Root directory of dataset where sequence 18 | folders exist. 19 | """ 20 | def __init__(self, root_dir): 21 | super(DTB70, self).__init__() 22 | self.root_dir = root_dir 23 | self._check_integrity(root_dir) 24 | 25 | self.anno_files = sorted(glob.glob( 26 | os.path.join(root_dir, '*/groundtruth_rect.txt'))) 27 | self.seq_dirs = [os.path.dirname(f) for f in self.anno_files] 28 | self.seq_names = [os.path.basename(d) for d in self.seq_dirs] 29 | 30 | def __getitem__(self, index): 31 | r""" 32 | Args: 33 | index (integer or string): Index or name of a sequence. 34 | 35 | Returns: 36 | tuple: (img_files, anno), where ``img_files`` is a list of 37 | file names and ``anno`` is a N x 4 (rectangles) numpy array. 38 | """ 39 | if isinstance(index, six.string_types): 40 | if not index in self.seq_names: 41 | raise Exception('Sequence {} not found.'.format(index)) 42 | index = self.seq_names.index(index) 43 | 44 | img_files = sorted(glob.glob( 45 | os.path.join(self.seq_dirs[index], 'img/*.jpg'))) 46 | anno = np.loadtxt(self.anno_files[index], delimiter=',') 47 | assert len(img_files) == len(anno) 48 | assert anno.shape[1] == 4 49 | 50 | return img_files, anno 51 | 52 | def __len__(self): 53 | return len(self.seq_names) 54 | 55 | def _check_integrity(self, root_dir): 56 | seq_names = os.listdir(root_dir) 57 | seq_names = [n for n in seq_names if not n[0] == '.'] 58 | 59 | if os.path.isdir(root_dir) and len(seq_names) > 0: 60 | # check each sequence folder 61 | for seq_name in seq_names: 62 | seq_dir = os.path.join(root_dir, seq_name) 63 | if not os.path.isdir(seq_dir): 64 | print('Warning: sequence %s not exists.' % seq_name) 65 | else: 66 | # dataset not exists 67 | raise Exception('Dataset not found or corrupted.') 68 | -------------------------------------------------------------------------------- /trackers/results/OTB2015/MDNet/Matrix.txt: -------------------------------------------------------------------------------- 1 | 331.0,39.0,38.0,42.0 2 | 335.0,33.0,38.0,42.0 3 | 335.0,28.0,36.0,36.0 4 | 335.0,20.0,38.0,38.0 5 | 337.0,16.0,39.0,38.0 6 | 341.0,17.0,39.0,38.0 7 | 345.0,24.0,36.0,39.0 8 | 352.0,30.0,37.0,39.0 9 | 358.0,35.0,39.0,42.0 10 | 367.0,46.0,36.0,40.0 11 | 360.0,56.0,35.0,40.0 12 | 365.0,62.0,35.0,37.0 13 | 366.0,62.0,41.0,40.0 14 | 363.0,62.0,37.0,38.0 15 | 357.0,54.0,34.0,34.0 16 | 348.0,40.0,36.0,40.0 17 | 339.0,36.0,37.0,37.0 18 | 328.0,30.0,37.0,40.0 19 | 327.0,28.0,37.0,38.0 20 | 318.0,22.0,38.0,40.0 21 | 318.0,20.0,40.0,37.0 22 | 321.0,23.0,31.0,35.0 23 | 321.0,27.0,34.0,40.0 24 | 328.0,31.0,36.0,38.0 25 | 328.0,32.0,38.0,37.0 26 | 331.0,34.0,41.0,40.0 27 | 336.0,37.0,41.0,38.0 28 | 339.0,34.0,39.0,37.0 29 | 338.0,30.0,38.0,37.0 30 | 340.0,24.0,39.0,37.0 31 | 345.0,24.0,41.0,36.0 32 | 355.0,28.0,39.0,36.0 33 | 367.0,35.0,39.0,38.0 34 | 379.0,45.0,40.0,41.0 35 | 391.0,63.0,40.0,40.0 36 | 401.0,82.0,35.0,39.0 37 | 393.0,102.0,35.0,39.0 38 | 410.0,101.0,35.0,39.0 39 | 408.0,93.0,35.0,39.0 40 | 420.0,72.0,34.0,38.0 41 | 421.0,96.0,34.0,38.0 42 | 398.0,119.0,34.0,38.0 43 | 393.0,115.0,31.0,36.0 44 | 387.0,96.0,35.0,40.0 45 | 379.0,79.0,36.0,39.0 46 | 364.0,58.0,39.0,41.0 47 | 358.0,40.0,35.0,40.0 48 | 333.0,19.0,36.0,38.0 49 | 313.0,19.0,38.0,39.0 50 | 300.0,21.0,36.0,38.0 51 | 299.0,22.0,38.0,37.0 52 | 299.0,26.0,39.0,36.0 53 | 300.0,34.0,37.0,33.0 54 | 309.0,35.0,37.0,33.0 55 | 311.0,36.0,37.0,34.0 56 | 307.0,29.0,39.0,35.0 57 | 304.0,25.0,39.0,35.0 58 | 297.0,20.0,40.0,36.0 59 | 300.0,15.0,38.0,37.0 60 | 302.0,14.0,37.0,39.0 61 | 294.0,18.0,39.0,41.0 62 | 298.0,17.0,39.0,41.0 63 | 308.0,14.0,39.0,40.0 64 | 320.0,9.0,41.0,43.0 65 | 327.0,9.0,38.0,38.0 66 | 323.0,11.0,41.0,41.0 67 | 321.0,15.0,35.0,41.0 68 | 325.0,19.0,33.0,37.0 69 | 333.0,18.0,37.0,37.0 70 | 325.0,14.0,40.0,36.0 71 | 314.0,11.0,39.0,39.0 72 | 321.0,3.0,41.0,45.0 73 | 311.0,5.0,36.0,42.0 74 | 308.0,4.0,40.0,42.0 75 | 291.0,9.0,41.0,46.0 76 | 287.0,31.0,38.0,44.0 77 | 280.0,37.0,39.0,42.0 78 | 285.0,46.0,39.0,42.0 79 | 275.0,43.0,39.0,42.0 80 | 269.0,43.0,39.0,42.0 81 | 283.0,59.0,39.0,42.0 82 | 308.0,58.0,38.0,41.0 83 | 281.0,36.0,38.0,41.0 84 | 300.0,45.0,38.0,41.0 85 | 336.0,48.0,38.0,41.0 86 | 319.0,79.0,38.0,41.0 87 | 296.0,91.0,39.0,42.0 88 | 260.0,99.0,38.0,40.0 89 | 248.0,75.0,39.0,40.0 90 | 230.0,57.0,40.0,39.0 91 | 218.0,38.0,38.0,41.0 92 | 229.0,16.0,38.0,41.0 93 | 214.0,12.0,38.0,41.0 94 | 187.0,15.0,40.0,44.0 95 | 196.0,14.0,38.0,41.0 96 | 194.0,25.0,38.0,41.0 97 | 180.0,42.0,41.0,40.0 98 | 170.0,54.0,41.0,38.0 99 | 164.0,59.0,42.0,41.0 100 | 165.0,48.0,38.0,45.0 101 | -------------------------------------------------------------------------------- /trackers/results/OTB2015/MDNet/Bird2.txt: -------------------------------------------------------------------------------- 1 | 82.0,218.0,69.0,73.0 2 | 85.0,220.0,67.0,71.0 3 | 89.0,223.0,63.0,68.0 4 | 90.0,225.0,68.0,67.0 5 | 94.0,229.0,67.0,65.0 6 | 98.0,229.0,68.0,66.0 7 | 103.0,227.0,65.0,74.0 8 | 112.0,225.0,68.0,70.0 9 | 118.0,225.0,67.0,72.0 10 | 123.0,222.0,65.0,77.0 11 | 128.0,223.0,63.0,74.0 12 | 131.0,225.0,63.0,75.0 13 | 135.0,228.0,62.0,77.0 14 | 137.0,228.0,66.0,80.0 15 | 143.0,228.0,65.0,83.0 16 | 146.0,229.0,65.0,84.0 17 | 146.0,229.0,71.0,81.0 18 | 151.0,229.0,74.0,81.0 19 | 155.0,229.0,76.0,82.0 20 | 166.0,233.0,69.0,78.0 21 | 173.0,233.0,67.0,79.0 22 | 177.0,236.0,66.0,79.0 23 | 181.0,237.0,65.0,77.0 24 | 185.0,238.0,63.0,76.0 25 | 191.0,238.0,62.0,77.0 26 | 194.0,239.0,62.0,76.0 27 | 198.0,240.0,62.0,77.0 28 | 202.0,239.0,62.0,78.0 29 | 203.0,242.0,64.0,75.0 30 | 204.0,245.0,66.0,71.0 31 | 206.0,243.0,69.0,72.0 32 | 212.0,243.0,65.0,72.0 33 | 215.0,240.0,67.0,74.0 34 | 219.0,240.0,66.0,74.0 35 | 223.0,239.0,67.0,76.0 36 | 227.0,239.0,65.0,78.0 37 | 230.0,237.0,66.0,82.0 38 | 233.0,236.0,67.0,83.0 39 | 237.0,235.0,67.0,84.0 40 | 237.0,233.0,69.0,86.0 41 | 242.0,232.0,67.0,88.0 42 | 243.0,232.0,68.0,88.0 43 | 245.0,234.0,67.0,89.0 44 | 252.0,239.0,66.0,87.0 45 | 258.0,239.0,60.0,90.0 46 | 260.0,239.0,63.0,91.0 47 | 263.0,241.0,68.0,90.0 48 | 268.0,241.0,69.0,88.0 49 | 276.0,235.0,69.0,89.0 50 | 276.0,231.0,70.0,89.0 51 | 276.0,233.0,70.0,88.0 52 | 273.0,232.0,69.0,89.0 53 | 272.0,232.0,69.0,89.0 54 | 265.0,233.0,71.0,91.0 55 | 260.0,233.0,73.0,89.0 56 | 268.0,239.0,66.0,91.0 57 | 261.0,237.0,69.0,92.0 58 | 258.0,240.0,81.0,85.0 59 | 250.0,231.0,69.0,91.0 60 | 259.0,235.0,71.0,82.0 61 | 253.0,230.0,69.0,84.0 62 | 248.0,231.0,69.0,82.0 63 | 242.0,231.0,67.0,84.0 64 | 229.0,235.0,67.0,91.0 65 | 222.0,232.0,63.0,89.0 66 | 219.0,231.0,61.0,91.0 67 | 216.0,232.0,62.0,91.0 68 | 207.0,231.0,65.0,90.0 69 | 197.0,231.0,71.0,88.0 70 | 196.0,227.0,68.0,88.0 71 | 192.0,225.0,64.0,85.0 72 | 191.0,217.0,67.0,84.0 73 | 189.0,220.0,64.0,85.0 74 | 181.0,219.0,61.0,85.0 75 | 172.0,220.0,64.0,85.0 76 | 169.0,220.0,65.0,86.0 77 | 163.0,217.0,66.0,89.0 78 | 157.0,217.0,65.0,89.0 79 | 159.0,219.0,63.0,89.0 80 | 156.0,218.0,63.0,89.0 81 | 153.0,220.0,63.0,86.0 82 | 149.0,221.0,62.0,83.0 83 | 142.0,224.0,62.0,81.0 84 | 143.0,228.0,56.0,81.0 85 | 139.0,229.0,58.0,79.0 86 | 133.0,227.0,61.0,80.0 87 | 135.0,229.0,61.0,84.0 88 | 130.0,224.0,63.0,87.0 89 | 127.0,223.0,64.0,86.0 90 | 124.0,221.0,66.0,84.0 91 | 116.0,224.0,73.0,80.0 92 | 119.0,230.0,73.0,81.0 93 | 122.0,226.0,64.0,84.0 94 | 119.0,218.0,61.0,82.0 95 | 101.0,219.0,64.0,76.0 96 | 87.0,216.0,69.0,76.0 97 | 83.0,213.0,74.0,79.0 98 | 110.0,206.0,67.0,77.0 99 | 133.0,183.0,76.0,83.0 100 | -------------------------------------------------------------------------------- /trackers/results/OTB2015/ECO/Skiing.txt: -------------------------------------------------------------------------------- 1 | 446.000,181.000,29.000,26.000 2 | 443.000,173.691,27.874,24.990 3 | 442.533,171.636,26.792,24.020 4 | 439.881,166.470,25.751,23.087 5 | 438.807,162.808,26.266,23.549 6 | 437.248,158.808,26.266,23.549 7 | 436.801,153.266,25.246,22.635 8 | 438.918,153.622,24.266,21.756 9 | 441.234,146.550,24.751,22.191 10 | 436.236,146.505,25.751,23.087 11 | 439.529,137.928,26.792,24.020 12 | 442.724,123.736,26.266,23.549 13 | 441.254,119.174,27.327,24.500 14 | 429.280,121.380,27.874,24.990 15 | 428.382,118.029,29.000,26.000 16 | 425.819,116.980,29.580,26.520 17 | 427.985,109.904,30.172,27.050 18 | 427.129,106.761,30.172,27.050 19 | 422.915,100.547,30.172,27.050 20 | 421.801,98.082,30.775,27.591 21 | 420.189,97.610,29.580,26.520 22 | 414.272,94.404,30.172,27.050 23 | 411.490,93.704,30.775,27.591 24 | 407.762,89.054,32.018,28.706 25 | 401.876,89.986,33.312,29.866 26 | 396.003,88.964,34.658,31.072 27 | 383.180,91.409,36.058,32.328 28 | 376.349,82.691,37.515,33.634 29 | 369.333,84.498,39.030,34.993 30 | 359.545,86.757,40.607,36.406 31 | 352.976,90.962,42.247,37.877 32 | 338.477,96.351,43.954,39.407 33 | 335.776,103.862,42.247,37.877 34 | 329.976,109.862,42.247,37.877 35 | 322.276,114.062,42.247,37.877 36 | 315.411,117.892,40.607,36.406 37 | 300.490,129.543,40.607,36.406 38 | 298.476,137.562,42.247,37.877 39 | 295.200,136.265,43.092,38.635 40 | 288.176,143.762,42.247,37.877 41 | 286.601,147.757,40.607,36.406 42 | 277.265,161.224,39.811,35.692 43 | 274.659,167.824,39.030,34.993 44 | 272.050,173.591,39.811,35.692 45 | 268.202,178.743,39.811,35.692 46 | 264.736,181.757,40.607,36.406 47 | 258.976,192.262,42.247,37.877 48 | 257.143,198.227,41.419,37.134 49 | 255.898,202.895,39.811,35.692 50 | 253.908,206.345,41.419,37.134 51 | 251.202,210.895,39.811,35.692 52 | 247.827,223.476,39.030,34.993 53 | 246.345,228.479,37.515,33.634 54 | 244.398,234.713,36.058,32.328 55 | 242.543,239.498,36.779,32.974 56 | 240.565,243.419,35.351,31.694 57 | 238.565,250.431,35.351,31.694 58 | 235.760,253.931,36.779,32.974 59 | 233.398,258.177,36.058,32.328 60 | 231.956,261.917,34.658,31.072 61 | 231.425,266.116,33.312,29.866 62 | 227.716,271.922,32.018,28.706 63 | 224.461,273.766,31.390,28.143 64 | 222.843,273.975,30.172,27.050 65 | 220.819,274.870,29.580,26.520 66 | 219.147,276.736,29.000,26.000 67 | 214.675,276.500,29.000,26.000 68 | 213.188,277.005,27.874,24.990 69 | 212.090,277.250,27.327,24.500 70 | 208.594,276.411,27.874,24.990 71 | 207.392,276.490,26.791,24.020 72 | 203.784,275.311,25.751,23.087 73 | 202.248,274.166,26.266,23.549 74 | 201.254,273.250,27.327,24.500 75 | 199.129,272.606,26.266,23.549 76 | 198.533,273.632,26.791,24.020 77 | 194.925,270.339,27.327,24.500 78 | 193.688,269.606,26.266,23.549 79 | 192.248,269.726,26.266,23.549 80 | 192.076,267.762,25.751,23.087 81 | 191.070,267.350,24.751,22.191 82 | -------------------------------------------------------------------------------- /trackers/results/OTB2015/SiamFC/Skiing.txt: -------------------------------------------------------------------------------- 1 | 446.000,181.000,29.000,26.000 2 | 443.186,173.857,29.000,26.000 3 | 441.022,171.043,29.000,26.000 4 | 438.424,167.580,29.000,26.000 5 | 436.260,163.684,29.000,26.000 6 | 435.394,162.168,29.000,26.000 7 | 436.260,156.108,29.000,26.000 8 | 435.394,154.809,29.000,26.000 9 | 436.196,153.398,29.642,26.575 10 | 437.016,144.382,30.297,27.163 11 | 433.171,146.191,30.297,27.163 12 | 427.292,141.216,30.297,27.163 13 | 425.079,139.039,30.968,27.764 14 | 423.230,137.652,30.968,27.764 15 | 422.306,128.175,30.968,27.764 16 | 423.924,125.632,30.968,27.764 17 | 431.551,113.151,30.968,27.764 18 | 423.861,107.431,30.307,27.172 19 | 422.052,102.455,30.307,27.172 20 | 420.920,100.193,30.307,27.172 21 | 420.242,98.609,30.307,27.172 22 | 418.206,95.895,30.307,27.172 23 | 413.682,92.954,30.307,27.172 24 | 411.420,92.275,30.307,27.172 25 | 405.217,92.209,30.978,27.773 26 | 400.592,91.747,30.978,27.773 27 | 391.344,93.828,30.978,27.773 28 | 383.251,99.377,30.978,27.773 29 | 377.471,101.227,30.978,27.773 30 | 369.378,94.290,30.978,27.773 31 | 361.054,93.134,30.978,27.773 32 | 347.758,98.344,31.663,28.388 33 | 338.777,104.489,31.663,28.388 34 | 334.050,114.179,31.663,28.388 35 | 327.669,119.378,31.663,28.388 36 | 320.944,123.232,32.364,29.016 37 | 308.383,136.760,32.364,29.016 38 | 302.827,138.934,32.364,29.016 39 | 297.707,142.623,33.080,29.658 40 | 289.065,149.536,33.080,29.658 41 | 287.162,154.331,33.812,30.314 42 | 278.581,166.445,33.812,30.314 43 | 274.039,171.745,33.812,30.314 44 | 273.029,176.792,33.812,30.314 45 | 267.982,182.092,33.812,30.314 46 | 266.640,190.686,33.091,29.668 47 | 262.194,198.589,33.091,29.668 48 | 257.995,207.728,33.091,29.668 49 | 258.142,212.525,33.823,30.324 50 | 260.666,214.544,33.823,30.324 51 | 258.142,216.816,33.823,30.324 52 | 251.073,225.400,33.823,30.324 53 | 249.306,230.701,33.823,30.324 54 | 243.247,239.537,33.823,30.324 55 | 240.217,242.062,33.823,30.324 56 | 237.945,246.353,33.823,30.324 57 | 233.401,252.665,33.823,30.324 58 | 230.372,258.471,33.823,30.324 59 | 228.857,262.763,33.823,30.324 60 | 227.028,265.276,33.102,29.677 61 | 225.051,269.229,33.102,29.677 62 | 221.592,274.418,33.102,29.677 63 | 218.133,276.394,33.102,29.677 64 | 214.674,277.135,33.102,29.677 65 | 212.001,277.576,33.834,30.334 66 | 210.738,278.081,33.834,30.334 67 | 206.445,276.566,33.834,30.334 68 | 202.910,277.576,33.834,30.334 69 | 202.152,276.313,33.834,30.334 70 | 198.617,276.313,33.834,30.334 71 | 197.102,274.798,33.834,30.334 72 | 192.556,274.041,33.834,30.334 73 | 192.051,272.273,33.834,30.334 74 | 191.041,272.525,33.834,30.334 75 | 190.031,270.505,33.834,30.334 76 | 188.263,270.505,33.834,30.334 77 | 186.189,268.151,33.112,29.687 78 | 186.304,269.420,32.406,29.054 79 | 183.886,267.727,32.406,29.054 80 | 183.160,267.969,32.406,29.054 81 | 182.434,266.760,32.406,29.054 82 | -------------------------------------------------------------------------------- /trackers/results/OTB2015/ECO/KiteSurf.txt: -------------------------------------------------------------------------------- 1 | 204.000,41.000,23.000,30.000 2 | 203.409,39.727,23.000,30.000 3 | 200.961,37.994,23.460,30.600 4 | 198.691,37.894,23.929,31.212 5 | 199.373,39.406,23.460,30.600 6 | 200.373,41.611,23.460,30.600 7 | 198.636,45.046,23.000,30.000 8 | 196.045,50.228,23.000,30.000 9 | 192.454,55.228,23.000,30.000 10 | 191.067,60.430,22.549,29.412 11 | 190.646,65.430,22.549,29.412 12 | 187.908,70.430,22.549,29.412 13 | 186.487,76.009,22.549,29.412 14 | 185.646,79.850,22.549,29.412 15 | 186.015,84.627,22.107,28.835 16 | 188.543,89.430,22.549,29.412 17 | 188.225,93.271,22.549,29.412 18 | 188.225,95.112,22.549,29.412 19 | 189.384,97.691,22.549,29.412 20 | 190.583,100.355,22.107,28.835 21 | 191.182,99.500,23.000,30.000 22 | 190.067,98.056,22.549,29.412 23 | 188.742,94.106,22.107,28.835 24 | 186.487,87.420,22.549,29.412 25 | 182.756,77.554,23.460,30.600 26 | 179.749,66.205,22.549,29.412 27 | 174.947,53.746,23.460,30.600 28 | 169.681,41.497,23.000,30.000 29 | 163.062,37.538,22.107,28.835 30 | 159.208,31.239,21.673,28.270 31 | 156.328,25.000,22.549,29.412 32 | 152.153,18.774,23.460,30.600 33 | 146.681,18.318,23.000,30.000 34 | 144.045,14.363,23.000,30.000 35 | 135.726,15.682,23.000,30.000 36 | 132.749,14.056,22.549,29.412 37 | 158.692,27.065,23.460,30.600 38 | 156.045,32.819,23.000,30.000 39 | 159.287,39.899,22.107,28.835 40 | 140.219,42.280,21.248,27.715 41 | 144.559,56.852,22.107,28.835 42 | 149.790,67.471,21.248,27.715 43 | 156.586,74.478,20.423,26.639 44 | 161.634,78.043,20.023,26.117 45 | 168.306,82.410,19.245,25.103 46 | 175.381,83.387,18.498,24.128 47 | 179.328,85.916,19.245,25.103 48 | 180.703,86.707,19.630,25.605 49 | 183.490,87.680,18.868,24.610 50 | 188.480,88.862,18.498,24.128 51 | 193.636,90.275,17.780,23.191 52 | 198.786,91.233,17.089,22.290 53 | 203.086,92.210,16.426,21.425 54 | 207.172,90.756,16.104,21.005 55 | 211.428,88.851,16.754,21.853 56 | 215.508,84.567,16.426,21.425 57 | 221.692,85.204,15.788,20.593 58 | 226.136,85.803,15.478,20.189 59 | 230.534,89.383,15.478,20.189 60 | 234.172,93.963,16.104,21.005 61 | 235.975,98.853,16.426,21.425 62 | 235.516,104.064,17.089,22.290 63 | 233.326,107.560,17.780,23.191 64 | 230.881,110.111,17.089,22.290 65 | 226.753,112.371,17.431,22.736 66 | 224.320,113.672,17.089,22.290 67 | 222.441,115.371,17.431,22.736 68 | 224.438,115.361,17.780,23.191 69 | 225.830,114.207,18.135,23.655 70 | 224.096,112.740,18.868,24.610 71 | 223.034,110.410,18.135,23.655 72 | 223.066,106.801,18.868,24.610 73 | 222.581,102.831,18.868,24.610 74 | 224.036,98.831,18.868,24.610 75 | 223.685,95.167,19.630,25.605 76 | 220.910,90.992,19.245,25.103 77 | 221.066,88.286,18.868,24.610 78 | 222.677,86.059,18.498,24.128 79 | 224.975,84.255,18.868,24.610 80 | 227.490,81.286,18.868,24.610 81 | 225.611,80.710,18.868,24.610 82 | 223.157,82.164,18.868,24.610 83 | 221.611,83.164,18.868,24.610 84 | 223.198,84.715,19.630,25.605 85 | -------------------------------------------------------------------------------- /trackers/results/OTB2015/SiamFC/KiteSurf.txt: -------------------------------------------------------------------------------- 1 | 204.000,41.000,23.000,30.000 2 | 203.167,38.710,23.000,30.000 3 | 201.293,37.460,23.000,30.000 4 | 199.836,38.710,23.000,30.000 5 | 200.044,39.751,23.000,30.000 6 | 199.003,41.625,23.000,30.000 7 | 197.337,44.748,23.000,30.000 8 | 195.047,49.328,23.000,30.000 9 | 191.924,54.533,23.000,30.000 10 | 190.883,58.698,23.000,30.000 11 | 189.634,63.694,23.000,30.000 12 | 187.760,68.691,23.000,30.000 13 | 185.886,73.480,23.000,30.000 14 | 185.053,78.893,23.000,30.000 15 | 185.678,83.682,23.000,30.000 16 | 187.135,88.055,23.000,30.000 17 | 187.552,91.386,23.000,30.000 18 | 188.801,94.509,23.000,30.000 19 | 190.050,95.758,23.000,30.000 20 | 190.467,97.840,23.000,30.000 21 | 190.883,99.089,23.000,30.000 22 | 189.634,98.673,23.000,30.000 23 | 187.344,93.676,23.000,30.000 24 | 185.261,85.764,23.000,30.000 25 | 183.388,74.729,23.000,30.000 26 | 179.432,63.903,23.000,30.000 27 | 175.476,51.618,23.000,30.000 28 | 170.895,42.874,23.000,30.000 29 | 166.523,35.587,23.000,30.000 30 | 161.318,30.798,23.000,30.000 31 | 156.747,26.101,22.510,29.360 32 | 153.059,21.897,22.029,28.734 33 | 150.466,19.504,22.029,28.734 34 | 146.280,16.158,21.560,28.121 35 | 138.864,14.401,21.560,28.121 36 | 164.113,24.859,21.100,27.522 37 | 162.776,25.814,21.100,27.522 38 | 157.810,30.017,21.100,27.522 39 | 158.956,37.848,21.100,27.522 40 | 145.776,40.331,21.100,27.522 41 | 150.604,54.800,20.650,26.935 42 | 155.869,64.637,20.210,26.360 43 | 162.089,70.308,20.210,26.360 44 | 168.300,75.174,19.779,25.798 45 | 175.104,77.501,19.779,25.798 46 | 181.527,81.573,19.357,25.248 47 | 186.125,83.193,18.944,24.710 48 | 188.869,84.394,18.944,24.710 49 | 192.211,85.649,18.540,24.183 50 | 195.568,87.327,18.540,24.183 51 | 199.428,89.174,18.540,24.183 52 | 205.134,90.348,18.540,24.183 53 | 206.813,90.852,18.540,24.183 54 | 208.323,89.509,18.540,24.183 55 | 212.183,86.153,18.540,24.183 56 | 215.778,82.528,18.145,23.667 57 | 221.034,83.185,18.145,23.667 58 | 224.711,84.387,17.758,23.162 59 | 228.569,87.602,17.758,23.162 60 | 231.623,91.139,17.758,23.162 61 | 233.230,97.247,17.758,23.162 62 | 233.873,103.356,17.758,23.162 63 | 232.427,106.410,17.758,23.162 64 | 230.498,108.500,17.758,23.162 65 | 226.800,111.393,17.758,23.162 66 | 223.103,113.322,17.758,23.162 67 | 222.299,114.769,17.758,23.162 68 | 223.907,115.894,17.758,23.162 69 | 225.193,114.769,17.758,23.162 70 | 224.550,113.644,17.758,23.162 71 | 223.264,110.911,17.758,23.162 72 | 222.299,107.535,17.758,23.162 73 | 222.942,103.356,17.758,23.162 74 | 223.585,99.176,17.758,23.162 75 | 224.068,95.479,17.758,23.162 76 | 221.495,93.550,17.758,23.162 77 | 222.138,89.853,17.758,23.162 78 | 222.942,87.924,17.758,23.162 79 | 225.836,84.709,17.758,23.162 80 | 226.800,83.583,17.758,23.162 81 | 225.514,82.458,17.758,23.162 82 | 223.103,83.101,17.758,23.162 83 | 221.978,83.583,17.758,23.162 84 | 223.282,84.995,18.151,23.675 85 | -------------------------------------------------------------------------------- /got10k/utils/viz.py: -------------------------------------------------------------------------------- 1 | from __future__ import absolute_import 2 | 3 | import numpy as np 4 | import matplotlib 5 | import matplotlib.pyplot as plt 6 | import matplotlib.patches as patches 7 | import matplotlib.colors as mcolors 8 | from PIL import Image 9 | 10 | 11 | fig_dict = {} 12 | patch_dict = {} 13 | 14 | 15 | def show_frame(image, boxes=None, fig_n=1, pause=0.001, 16 | linewidth=3, cmap=None, colors=None, legends=None): 17 | r"""Visualize an image w/o drawing rectangle(s). 18 | 19 | Args: 20 | image (numpy.ndarray or PIL.Image): Image to show. 21 | boxes (numpy.array or a list of numpy.ndarray, optional): A 4 dimensional array 22 | specifying rectangle [left, top, width, height] to draw, or a list of arrays 23 | representing multiple rectangles. Default is ``None``. 24 | fig_n (integer, optional): Figure ID. Default is 1. 25 | pause (float, optional): Time delay for the plot. Default is 0.001 second. 26 | linewidth (int, optional): Thickness for drawing the rectangle. Default is 3 pixels. 27 | cmap (string): Color map. Default is None. 28 | color (tuple): Color of drawed rectanlge. Default is None. 29 | """ 30 | if isinstance(image, np.ndarray): 31 | image = Image.fromarray(image[..., ::-1])#.convert('RGB') 32 | 33 | if not fig_n in fig_dict or \ 34 | fig_dict[fig_n].get_size() != image.size[::-1]: 35 | fig = plt.figure(fig_n) 36 | plt.axis('off') 37 | fig.tight_layout() 38 | fig_dict[fig_n] = plt.imshow(image, cmap=cmap) 39 | else: 40 | fig_dict[fig_n].set_data(image) 41 | 42 | if boxes is not None: 43 | if not isinstance(boxes, (list, tuple)): 44 | boxes = [boxes] 45 | 46 | if colors is None: 47 | colors = ['r', 'g', 'b', 'c', 'm', 'y'] + \ 48 | list(mcolors.CSS4_COLORS.keys()) 49 | elif isinstance(colors, str): 50 | colors = [colors] 51 | 52 | if not fig_n in patch_dict: 53 | patch_dict[fig_n] = [] 54 | for i, box in enumerate(boxes): 55 | patch_dict[fig_n].append(patches.Rectangle( 56 | (box[0], box[1]), box[2], box[3], linewidth=linewidth, 57 | edgecolor=colors[i % len(colors)], facecolor='none', 58 | alpha=0.7 if len(boxes) > 1 else 1.0)) 59 | for patch in patch_dict[fig_n]: 60 | fig_dict[fig_n].axes.add_patch(patch) 61 | else: 62 | for patch, box in zip(patch_dict[fig_n], boxes): 63 | patch.set_xy((box[0], box[1])) 64 | patch.set_width(box[2]) 65 | patch.set_height(box[3]) 66 | 67 | if legends is not None: 68 | fig_dict[fig_n].axes.legend( 69 | patch_dict[fig_n], legends, loc=1, 70 | prop={'size': 8}, fancybox=True, framealpha=0.5) 71 | 72 | plt.pause(pause) 73 | plt.draw() 74 | -------------------------------------------------------------------------------- /trackers/results/OTB2015/MDNet/DragonBaby.txt: -------------------------------------------------------------------------------- 1 | 160.0,83.0,56.0,65.0 2 | 168.0,86.0,53.0,63.0 3 | 177.0,85.0,52.0,63.0 4 | 177.0,80.0,55.0,65.0 5 | 181.0,78.0,58.0,66.0 6 | 187.0,72.0,60.0,71.0 7 | 188.0,63.0,60.0,64.0 8 | 170.0,42.0,62.0,64.0 9 | 162.0,41.0,60.0,62.0 10 | 150.0,48.0,62.0,67.0 11 | 147.0,65.0,59.0,65.0 12 | 145.0,71.0,61.0,65.0 13 | 143.0,76.0,61.0,67.0 14 | 142.0,81.0,61.0,66.0 15 | 141.0,91.0,61.0,65.0 16 | 149.0,98.0,63.0,68.0 17 | 159.0,94.0,68.0,67.0 18 | 187.0,93.0,66.0,69.0 19 | 190.0,95.0,67.0,70.0 20 | 181.0,87.0,64.0,70.0 21 | 179.0,86.0,65.0,71.0 22 | 176.0,86.0,67.0,74.0 23 | 162.0,82.0,68.0,75.0 24 | 158.0,80.0,70.0,80.0 25 | 126.0,87.0,68.0,73.0 26 | 140.0,86.0,72.0,70.0 27 | 163.0,85.0,68.0,71.0 28 | 187.0,83.0,71.0,73.0 29 | 190.0,83.0,70.0,74.0 30 | 204.0,94.0,71.0,74.0 31 | 209.0,94.0,70.0,75.0 32 | 204.0,87.0,73.0,81.0 33 | 198.0,78.0,78.0,82.0 34 | 214.0,71.0,75.0,82.0 35 | 222.0,69.0,71.0,76.0 36 | 226.0,75.0,74.0,76.0 37 | 221.0,86.0,68.0,74.0 38 | 226.0,90.0,69.0,74.0 39 | 221.0,92.0,75.0,77.0 40 | 215.0,90.0,74.0,73.0 41 | 187.0,60.0,73.0,73.0 42 | 140.0,40.0,74.0,73.0 43 | 113.0,32.0,71.0,81.0 44 | 60.0,44.0,70.0,80.0 45 | 27.0,40.0,76.0,79.0 46 | 71.0,56.0,69.0,79.0 47 | 79.0,95.0,72.0,74.0 48 | 91.0,56.0,71.0,81.0 49 | 117.0,39.0,69.0,70.0 50 | 145.0,25.0,72.0,82.0 51 | 167.0,22.0,71.0,81.0 52 | 182.0,36.0,69.0,68.0 53 | 206.0,62.0,65.0,65.0 54 | 199.0,71.0,64.0,66.0 55 | 190.0,81.0,65.0,64.0 56 | 195.0,80.0,61.0,67.0 57 | 223.0,70.0,60.0,64.0 58 | 233.0,66.0,67.0,65.0 59 | 242.0,71.0,68.0,68.0 60 | 246.0,73.0,67.0,71.0 61 | 240.0,71.0,64.0,68.0 62 | 195.0,86.0,67.0,77.0 63 | 182.0,101.0,70.0,80.0 64 | 173.0,137.0,68.0,79.0 65 | 170.0,148.0,72.0,82.0 66 | 161.0,123.0,71.0,82.0 67 | 153.0,108.0,72.0,85.0 68 | 136.0,81.0,72.0,80.0 69 | 122.0,64.0,72.0,79.0 70 | 118.0,61.0,67.0,74.0 71 | 133.0,68.0,71.0,75.0 72 | 147.0,73.0,72.0,82.0 73 | 148.0,76.0,70.0,81.0 74 | 151.0,66.0,70.0,76.0 75 | 155.0,56.0,72.0,74.0 76 | 172.0,41.0,68.0,71.0 77 | 194.0,59.0,62.0,72.0 78 | 200.0,70.0,66.0,77.0 79 | 204.0,77.0,62.0,68.0 80 | 231.0,52.0,71.0,83.0 81 | 248.0,37.0,70.0,81.0 82 | 233.0,39.0,69.0,80.0 83 | 176.0,33.0,69.0,80.0 84 | 100.0,76.0,69.0,81.0 85 | 101.0,127.0,80.0,93.0 86 | 116.0,140.0,81.0,91.0 87 | 159.0,131.0,80.0,93.0 88 | 171.0,124.0,81.0,97.0 89 | 192.0,101.0,84.0,102.0 90 | 181.0,68.0,87.0,100.0 91 | 161.0,53.0,88.0,98.0 92 | 127.0,41.0,86.0,86.0 93 | 117.0,39.0,81.0,84.0 94 | 112.0,41.0,80.0,85.0 95 | 114.0,49.0,75.0,83.0 96 | 117.0,58.0,71.0,81.0 97 | 124.0,79.0,67.0,77.0 98 | 126.0,86.0,64.0,72.0 99 | 135.0,76.0,70.0,78.0 100 | 151.0,56.0,72.0,73.0 101 | 166.0,56.0,70.0,69.0 102 | 179.0,58.0,63.0,74.0 103 | 176.0,60.0,62.0,73.0 104 | 171.0,67.0,59.0,74.0 105 | 167.0,76.0,57.0,74.0 106 | 164.0,80.0,58.0,73.0 107 | 160.0,89.0,58.0,73.0 108 | 157.0,92.0,58.0,72.0 109 | 160.0,91.0,58.0,73.0 110 | 172.0,84.0,63.0,77.0 111 | 193.0,82.0,69.0,73.0 112 | 231.0,81.0,66.0,71.0 113 | 240.0,81.0,66.0,69.0 114 | -------------------------------------------------------------------------------- /got10k/datasets/trackingnet.py: -------------------------------------------------------------------------------- 1 | from __future__ import absolute_import, print_function 2 | 3 | import os 4 | import glob 5 | import six 6 | import numpy as np 7 | 8 | 9 | class TrackingNet(object): 10 | r"""`TrackingNet `_ Datasets. 11 | 12 | Publication: 13 | ``TrackingNet: A Large-Scale Dataset and Benchmark for Object Tracking in the Wild.``, 14 | M. Muller, A. Bibi, S. Giancola, S. Al-Subaihi and B. Ghanem, ECCV 2018. 15 | 16 | Args: 17 | root_dir (string): Root directory of dataset where sequence 18 | folders exist. 19 | subset (string, optional): Specify ``train`` or ``test`` 20 | subset of TrackingNet. 21 | """ 22 | def __init__(self, root_dir, subset='test'): 23 | super(TrackingNet, self).__init__() 24 | assert subset in ['train', 'test'], 'Unknown subset.' 25 | 26 | self.root_dir = root_dir 27 | self.subset = subset 28 | if subset == 'test': 29 | self.subset_dirs = ['TEST'] 30 | elif subset == 'train': 31 | self.subset_dirs = ['TRAIN_%d' % c for c in range(12)] 32 | self._check_integrity(root_dir, self.subset_dirs) 33 | 34 | self.anno_files = [glob.glob(os.path.join( 35 | root_dir, c, 'anno/*.txt')) for c in self.subset_dirs] 36 | self.anno_files = sorted(sum(self.anno_files, [])) 37 | self.seq_dirs = [os.path.join( 38 | os.path.dirname(os.path.dirname(f)), 39 | os.path.basename(f)[:-4]) 40 | for f in self.anno_files] 41 | self.seq_names = [os.path.basename(d) for d in self.seq_dirs] 42 | 43 | def __getitem__(self, index): 44 | r""" 45 | Args: 46 | index (integer or string): Index or name of a sequence. 47 | 48 | Returns: 49 | tuple: (img_files, anno), where ``img_files`` is a list of 50 | file names and ``anno`` is a N x 4 (rectangles) numpy array. 51 | """ 52 | if isinstance(index, six.string_types): 53 | if not index in self.seq_names: 54 | raise Exception('Sequence {} not found.'.format(index)) 55 | index = self.seq_names.index(index) 56 | 57 | img_files = glob.glob( 58 | os.path.join(self.seq_dirs[index], '*.jpg')) 59 | img_files = sorted(img_files, key=lambda x: int(x[:-4])) 60 | anno = np.loadtxt(self.anno_files[index], delimiter=',') 61 | assert len(img_files) == len(anno) 62 | assert anno.shape[1] == 4 63 | 64 | return img_files, anno 65 | 66 | def __len__(self): 67 | return len(self.seq_names) 68 | 69 | def _check_integrity(self, root_dir, subset_dirs): 70 | # check each subset path 71 | for c in subset_dirs: 72 | subset_dir = os.path.join(root_dir, c) 73 | 74 | # check data and annotation folders 75 | for folder in ['anno', 'frames']: 76 | if not os.path.isdir(os.path.join(subset_dir, folder)): 77 | raise Exception('Dataset not found or corrupted.') 78 | -------------------------------------------------------------------------------- /trackers/results/OTB2015/MDNet/Crossing.txt: -------------------------------------------------------------------------------- 1 | 205.0,151.0,17.0,50.0 2 | 204.0,150.0,17.0,49.0 3 | 202.0,151.0,17.0,48.0 4 | 201.0,150.0,17.0,50.0 5 | 200.0,150.0,17.0,51.0 6 | 199.0,149.0,18.0,51.0 7 | 197.0,150.0,18.0,51.0 8 | 194.0,148.0,18.0,52.0 9 | 193.0,148.0,19.0,51.0 10 | 192.0,149.0,18.0,49.0 11 | 190.0,149.0,18.0,46.0 12 | 189.0,147.0,18.0,48.0 13 | 189.0,146.0,17.0,49.0 14 | 188.0,146.0,17.0,49.0 15 | 187.0,144.0,16.0,49.0 16 | 184.0,144.0,17.0,49.0 17 | 185.0,145.0,17.0,48.0 18 | 183.0,144.0,16.0,49.0 19 | 182.0,143.0,17.0,48.0 20 | 182.0,141.0,16.0,48.0 21 | 180.0,139.0,16.0,49.0 22 | 178.0,138.0,17.0,50.0 23 | 177.0,138.0,18.0,48.0 24 | 176.0,137.0,18.0,48.0 25 | 174.0,137.0,19.0,50.0 26 | 175.0,137.0,18.0,49.0 27 | 174.0,137.0,18.0,48.0 28 | 173.0,130.0,17.0,54.0 29 | 171.0,129.0,20.0,55.0 30 | 168.0,127.0,21.0,56.0 31 | 166.0,125.0,22.0,56.0 32 | 167.0,124.0,21.0,55.0 33 | 167.0,124.0,20.0,55.0 34 | 167.0,124.0,18.0,56.0 35 | 167.0,124.0,17.0,53.0 36 | 167.0,123.0,17.0,53.0 37 | 166.0,124.0,18.0,53.0 38 | 166.0,125.0,17.0,52.0 39 | 166.0,124.0,16.0,52.0 40 | 164.0,121.0,18.0,54.0 41 | 163.0,119.0,19.0,55.0 42 | 163.0,119.0,20.0,54.0 43 | 160.0,118.0,20.0,53.0 44 | 160.0,118.0,19.0,53.0 45 | 160.0,118.0,20.0,54.0 46 | 161.0,118.0,18.0,53.0 47 | 160.0,121.0,18.0,51.0 48 | 159.0,123.0,16.0,49.0 49 | 157.0,123.0,15.0,44.0 50 | 156.0,125.0,15.0,42.0 51 | 155.0,124.0,15.0,44.0 52 | 154.0,125.0,15.0,42.0 53 | 152.0,123.0,15.0,41.0 54 | 151.0,123.0,15.0,40.0 55 | 150.0,123.0,15.0,39.0 56 | 149.0,123.0,15.0,39.0 57 | 147.0,123.0,15.0,39.0 58 | 146.0,124.0,16.0,38.0 59 | 145.0,124.0,17.0,38.0 60 | 143.0,124.0,17.0,38.0 61 | 142.0,124.0,16.0,37.0 62 | 140.0,123.0,15.0,38.0 63 | 138.0,121.0,15.0,38.0 64 | 137.0,121.0,16.0,37.0 65 | 136.0,121.0,15.0,37.0 66 | 135.0,121.0,15.0,38.0 67 | 133.0,121.0,14.0,37.0 68 | 132.0,121.0,14.0,37.0 69 | 130.0,120.0,14.0,36.0 70 | 127.0,119.0,15.0,37.0 71 | 126.0,118.0,15.0,37.0 72 | 126.0,117.0,14.0,37.0 73 | 125.0,115.0,14.0,36.0 74 | 124.0,115.0,15.0,35.0 75 | 122.0,115.0,15.0,34.0 76 | 122.0,115.0,14.0,34.0 77 | 119.0,113.0,15.0,34.0 78 | 118.0,113.0,14.0,33.0 79 | 117.0,113.0,14.0,33.0 80 | 117.0,112.0,13.0,34.0 81 | 114.0,111.0,14.0,33.0 82 | 113.0,111.0,14.0,33.0 83 | 112.0,111.0,15.0,33.0 84 | 110.0,111.0,14.0,32.0 85 | 108.0,111.0,13.0,33.0 86 | 106.0,110.0,13.0,33.0 87 | 106.0,111.0,13.0,32.0 88 | 104.0,110.0,14.0,31.0 89 | 103.0,110.0,14.0,31.0 90 | 100.0,108.0,14.0,33.0 91 | 98.0,107.0,14.0,32.0 92 | 97.0,107.0,13.0,32.0 93 | 95.0,107.0,13.0,30.0 94 | 94.0,107.0,13.0,30.0 95 | 93.0,108.0,13.0,29.0 96 | 92.0,108.0,14.0,28.0 97 | 90.0,107.0,13.0,29.0 98 | 88.0,106.0,13.0,30.0 99 | 86.0,105.0,12.0,31.0 100 | 85.0,104.0,13.0,31.0 101 | 83.0,105.0,13.0,29.0 102 | 82.0,105.0,12.0,30.0 103 | 81.0,105.0,13.0,30.0 104 | 79.0,105.0,13.0,30.0 105 | 78.0,105.0,12.0,29.0 106 | 76.0,104.0,12.0,30.0 107 | 75.0,103.0,11.0,31.0 108 | 73.0,102.0,13.0,29.0 109 | 72.0,101.0,12.0,28.0 110 | 70.0,100.0,11.0,28.0 111 | 70.0,101.0,12.0,28.0 112 | 68.0,101.0,10.0,28.0 113 | 66.0,101.0,11.0,28.0 114 | 65.0,100.0,12.0,28.0 115 | 65.0,100.0,11.0,29.0 116 | 63.0,100.0,12.0,27.0 117 | 61.0,98.0,11.0,29.0 118 | 59.0,99.0,13.0,28.0 119 | 59.0,98.0,11.0,27.0 120 | 58.0,98.0,12.0,28.0 121 | -------------------------------------------------------------------------------- /trackers/results/OTB2015/MDNet/Dog.txt: -------------------------------------------------------------------------------- 1 | 74.0,86.0,56.0,48.0 2 | 75.0,86.0,54.0,48.0 3 | 76.0,87.0,51.0,46.0 4 | 75.0,86.0,50.0,45.0 5 | 73.0,86.0,52.0,43.0 6 | 73.0,85.0,53.0,42.0 7 | 71.0,83.0,57.0,44.0 8 | 71.0,76.0,58.0,52.0 9 | 72.0,81.0,53.0,44.0 10 | 70.0,82.0,52.0,46.0 11 | 64.0,83.0,50.0,51.0 12 | 64.0,85.0,53.0,48.0 13 | 60.0,86.0,54.0,50.0 14 | 61.0,86.0,55.0,48.0 15 | 63.0,86.0,52.0,47.0 16 | 65.0,83.0,52.0,46.0 17 | 67.0,83.0,55.0,43.0 18 | 65.0,83.0,56.0,43.0 19 | 63.0,83.0,55.0,45.0 20 | 61.0,84.0,56.0,46.0 21 | 60.0,87.0,54.0,43.0 22 | 59.0,91.0,52.0,42.0 23 | 57.0,92.0,52.0,41.0 24 | 56.0,94.0,52.0,41.0 25 | 57.0,95.0,50.0,41.0 26 | 57.0,95.0,49.0,40.0 27 | 58.0,95.0,46.0,40.0 28 | 59.0,94.0,44.0,39.0 29 | 60.0,93.0,44.0,40.0 30 | 59.0,93.0,46.0,41.0 31 | 59.0,91.0,47.0,42.0 32 | 59.0,89.0,48.0,42.0 33 | 59.0,91.0,45.0,43.0 34 | 61.0,90.0,46.0,44.0 35 | 56.0,93.0,46.0,48.0 36 | 57.0,93.0,46.0,47.0 37 | 57.0,95.0,47.0,47.0 38 | 57.0,96.0,47.0,46.0 39 | 60.0,97.0,48.0,43.0 40 | 60.0,97.0,44.0,44.0 41 | 64.0,96.0,45.0,41.0 42 | 65.0,97.0,46.0,41.0 43 | 66.0,96.0,45.0,42.0 44 | 66.0,95.0,47.0,44.0 45 | 68.0,96.0,46.0,41.0 46 | 68.0,100.0,44.0,40.0 47 | 69.0,101.0,44.0,40.0 48 | 71.0,103.0,43.0,39.0 49 | 72.0,104.0,43.0,39.0 50 | 72.0,103.0,44.0,38.0 51 | 75.0,104.0,41.0,36.0 52 | 77.0,104.0,40.0,36.0 53 | 80.0,103.0,39.0,37.0 54 | 82.0,101.0,39.0,39.0 55 | 81.0,99.0,43.0,38.0 56 | 82.0,99.0,45.0,39.0 57 | 85.0,98.0,42.0,40.0 58 | 88.0,98.0,41.0,41.0 59 | 89.0,100.0,42.0,41.0 60 | 90.0,101.0,42.0,42.0 61 | 92.0,102.0,44.0,42.0 62 | 94.0,103.0,44.0,41.0 63 | 97.0,105.0,41.0,39.0 64 | 98.0,106.0,40.0,39.0 65 | 101.0,107.0,40.0,36.0 66 | 104.0,106.0,39.0,36.0 67 | 105.0,107.0,40.0,38.0 68 | 108.0,104.0,40.0,37.0 69 | 111.0,105.0,38.0,38.0 70 | 115.0,105.0,36.0,39.0 71 | 116.0,106.0,38.0,36.0 72 | 119.0,104.0,39.0,34.0 73 | 120.0,104.0,41.0,34.0 74 | 122.0,102.0,44.0,34.0 75 | 123.0,104.0,39.0,34.0 76 | 128.0,102.0,38.0,35.0 77 | 132.0,103.0,39.0,35.0 78 | 137.0,105.0,38.0,35.0 79 | 139.0,107.0,39.0,34.0 80 | 137.0,108.0,41.0,36.0 81 | 141.0,107.0,39.0,35.0 82 | 144.0,106.0,39.0,37.0 83 | 146.0,108.0,37.0,37.0 84 | 149.0,106.0,40.0,36.0 85 | 149.0,105.0,43.0,38.0 86 | 150.0,106.0,45.0,38.0 87 | 152.0,105.0,43.0,37.0 88 | 155.0,103.0,42.0,37.0 89 | 166.0,97.0,43.0,40.0 90 | 168.0,105.0,41.0,41.0 91 | 168.0,100.0,44.0,40.0 92 | 170.0,99.0,46.0,40.0 93 | 176.0,96.0,44.0,42.0 94 | 180.0,96.0,41.0,43.0 95 | 184.0,93.0,40.0,45.0 96 | 187.0,94.0,40.0,44.0 97 | 192.0,98.0,42.0,42.0 98 | 190.0,95.0,45.0,43.0 99 | 191.0,98.0,41.0,41.0 100 | 192.0,98.0,40.0,39.0 101 | 196.0,97.0,41.0,40.0 102 | 200.0,97.0,41.0,42.0 103 | 203.0,95.0,43.0,43.0 104 | 204.0,95.0,44.0,43.0 105 | 205.0,93.0,44.0,46.0 106 | 208.0,93.0,43.0,47.0 107 | 210.0,94.0,44.0,47.0 108 | 212.0,92.0,43.0,45.0 109 | 215.0,93.0,45.0,46.0 110 | 214.0,91.0,47.0,46.0 111 | 216.0,91.0,49.0,45.0 112 | 219.0,94.0,48.0,42.0 113 | 222.0,94.0,47.0,41.0 114 | 224.0,95.0,45.0,40.0 115 | 226.0,95.0,45.0,39.0 116 | 224.0,97.0,46.0,37.0 117 | 226.0,99.0,44.0,35.0 118 | 228.0,100.0,43.0,34.0 119 | 236.0,98.0,41.0,37.0 120 | 239.0,102.0,39.0,36.0 121 | 243.0,102.0,40.0,37.0 122 | 245.0,101.0,43.0,38.0 123 | 250.0,103.0,41.0,37.0 124 | 253.0,104.0,38.0,38.0 125 | 258.0,105.0,38.0,38.0 126 | 264.0,101.0,36.0,41.0 127 | 267.0,100.0,37.0,42.0 128 | -------------------------------------------------------------------------------- /trackers/results/OTB2015/MDNet/Jump.txt: -------------------------------------------------------------------------------- 1 | 136.0,35.0,52.0,182.0 2 | 135.0,41.0,47.0,176.0 3 | 128.0,34.0,53.0,182.0 4 | 123.0,26.0,52.0,180.0 5 | 121.0,47.0,52.0,163.0 6 | 117.0,52.0,54.0,166.0 7 | 124.0,61.0,48.0,164.0 8 | 127.0,66.0,48.0,162.0 9 | 134.0,71.0,51.0,174.0 10 | 130.0,53.0,52.0,156.0 11 | 124.0,49.0,51.0,151.0 12 | 120.0,49.0,51.0,153.0 13 | 122.0,49.0,50.0,153.0 14 | 129.0,51.0,50.0,159.0 15 | 130.0,49.0,50.0,167.0 16 | 134.0,52.0,48.0,167.0 17 | 139.0,56.0,48.0,174.0 18 | 136.0,52.0,48.0,172.0 19 | 138.0,55.0,48.0,168.0 20 | 140.0,61.0,47.0,169.0 21 | 138.0,66.0,44.0,168.0 22 | 145.0,54.0,46.0,163.0 23 | 140.0,70.0,42.0,162.0 24 | 140.0,70.0,42.0,161.0 25 | 140.0,81.0,40.0,161.0 26 | 143.0,68.0,40.0,159.0 27 | 137.0,80.0,40.0,160.0 28 | 141.0,92.0,38.0,153.0 29 | 146.0,85.0,41.0,158.0 30 | 155.0,34.0,47.0,164.0 31 | 152.0,36.0,47.0,164.0 32 | 145.0,86.0,42.0,160.0 33 | 141.0,97.0,45.0,155.0 34 | 138.0,101.0,42.0,149.0 35 | 139.0,101.0,36.0,151.0 36 | 138.0,100.0,40.0,149.0 37 | 141.0,101.0,44.0,151.0 38 | 141.0,93.0,42.0,153.0 39 | 139.0,90.0,47.0,164.0 40 | 140.0,98.0,40.0,146.0 41 | 142.0,104.0,39.0,149.0 42 | 141.0,106.0,38.0,145.0 43 | 144.0,101.0,38.0,151.0 44 | 142.0,98.0,39.0,151.0 45 | 140.0,103.0,40.0,149.0 46 | 140.0,109.0,40.0,148.0 47 | 139.0,103.0,40.0,154.0 48 | 138.0,105.0,41.0,152.0 49 | 137.0,105.0,40.0,151.0 50 | 137.0,104.0,40.0,149.0 51 | 133.0,102.0,41.0,147.0 52 | 134.0,105.0,40.0,145.0 53 | 131.0,108.0,40.0,142.0 54 | 130.0,106.0,40.0,141.0 55 | 128.0,107.0,41.0,141.0 56 | 126.0,110.0,42.0,139.0 57 | 122.0,104.0,44.0,143.0 58 | 120.0,107.0,45.0,142.0 59 | 116.0,101.0,46.0,145.0 60 | 116.0,103.0,46.0,144.0 61 | 114.0,109.0,46.0,138.0 62 | 111.0,105.0,47.0,139.0 63 | 113.0,107.0,45.0,137.0 64 | 99.0,98.0,48.0,159.0 65 | 120.0,100.0,47.0,156.0 66 | 121.0,96.0,47.0,155.0 67 | 123.0,113.0,45.0,130.0 68 | 124.0,106.0,44.0,135.0 69 | 129.0,103.0,43.0,135.0 70 | 130.0,106.0,44.0,135.0 71 | 130.0,103.0,44.0,136.0 72 | 127.0,96.0,45.0,140.0 73 | 130.0,92.0,46.0,139.0 74 | 127.0,84.0,46.0,144.0 75 | 129.0,82.0,45.0,142.0 76 | 155.0,83.0,44.0,143.0 77 | 164.0,81.0,42.0,142.0 78 | 147.0,76.0,44.0,141.0 79 | 137.0,74.0,46.0,136.0 80 | 138.0,69.0,47.0,138.0 81 | 134.0,63.0,46.0,135.0 82 | 151.0,63.0,44.0,140.0 83 | 158.0,65.0,42.0,136.0 84 | 133.0,43.0,45.0,154.0 85 | 136.0,57.0,45.0,135.0 86 | 141.0,52.0,44.0,135.0 87 | 138.0,50.0,44.0,133.0 88 | 150.0,51.0,44.0,135.0 89 | 132.0,48.0,46.0,135.0 90 | 137.0,48.0,45.0,137.0 91 | 134.0,46.0,46.0,138.0 92 | 135.0,49.0,47.0,141.0 93 | 131.0,46.0,46.0,139.0 94 | 135.0,45.0,45.0,137.0 95 | 136.0,49.0,43.0,135.0 96 | 133.0,49.0,45.0,138.0 97 | 131.0,46.0,47.0,141.0 98 | 129.0,44.0,49.0,145.0 99 | 135.0,39.0,47.0,145.0 100 | 132.0,40.0,49.0,147.0 101 | 131.0,42.0,50.0,151.0 102 | 129.0,41.0,50.0,152.0 103 | 134.0,42.0,50.0,150.0 104 | 132.0,44.0,49.0,149.0 105 | 131.0,42.0,50.0,148.0 106 | 129.0,39.0,50.0,152.0 107 | 131.0,37.0,51.0,152.0 108 | 131.0,40.0,51.0,151.0 109 | 132.0,40.0,54.0,159.0 110 | 130.0,42.0,54.0,160.0 111 | 131.0,36.0,54.0,160.0 112 | 133.0,37.0,53.0,163.0 113 | 132.0,41.0,55.0,169.0 114 | 130.0,38.0,55.0,167.0 115 | 133.0,43.0,54.0,171.0 116 | 131.0,39.0,55.0,170.0 117 | 132.0,40.0,54.0,168.0 118 | 131.0,40.0,54.0,167.0 119 | 130.0,38.0,54.0,168.0 120 | 128.0,39.0,56.0,174.0 121 | 128.0,39.0,55.0,172.0 122 | 127.0,41.0,55.0,172.0 123 | -------------------------------------------------------------------------------- /got10k/datasets/nfs.py: -------------------------------------------------------------------------------- 1 | from __future__ import absolute_import, print_function, division 2 | 3 | import os 4 | import glob 5 | import numpy as np 6 | import six 7 | 8 | 9 | class NfS(object): 10 | """`NfS `_ Dataset. 11 | 12 | Publication: 13 | ``Need for Speed: A Benchmark for Higher Frame Rate Object Tracking``, 14 | H. K. Galoogahi, A. Fagg, C. Huang, D. Ramanan and S. Lucey, ICCV 2017. 15 | 16 | Args: 17 | root_dir (string): Root directory of dataset where sequence 18 | folders exist. 19 | fps (integer): Sequence frame rate. Two options ``30`` and ``240`` 20 | are available. Default is 240. 21 | """ 22 | def __init__(self, root_dir, fps=240): 23 | super(NfS, self).__init__() 24 | assert fps in [30, 240] 25 | self.fps = fps 26 | self.root_dir = root_dir 27 | self._check_integrity(root_dir) 28 | 29 | self.anno_files = sorted(glob.glob( 30 | os.path.join(root_dir, '*/%d/*.txt' % fps))) 31 | self.seq_names = [ 32 | os.path.basename(f)[:-4] for f in self.anno_files] 33 | self.seq_dirs = [os.path.join( 34 | os.path.dirname(f), n) 35 | for f, n in zip(self.anno_files, self.seq_names)] 36 | 37 | def __getitem__(self, index): 38 | r""" 39 | Args: 40 | index (integer or string): Index or name of a sequence. 41 | 42 | Returns: 43 | tuple: (img_files, anno), where ``img_files`` is a list of 44 | file names and ``anno`` is a N x 4 (rectangles) numpy array. 45 | """ 46 | if isinstance(index, six.string_types): 47 | if not index in self.seq_names: 48 | raise Exception('Sequence {} not found.'.format(index)) 49 | index = self.seq_names.index(index) 50 | 51 | img_files = sorted(glob.glob( 52 | os.path.join(self.seq_dirs[index], '*.jpg'))) 53 | anno = np.loadtxt(self.anno_files[index], dtype=str) 54 | anno = anno[:, 1:5].astype(float) # [left, top, right, bottom] 55 | anno[:, 2:] -= anno[:, :2] # [left, top, width, height] 56 | 57 | # handle inconsistent lengths 58 | if not len(img_files) == len(anno): 59 | if abs(len(anno) / len(img_files) - 8) < 1: 60 | anno = anno[0::8, :] 61 | diff = abs(len(img_files) - len(anno)) 62 | if diff > 0 and diff <= 1: 63 | n = min(len(img_files), len(anno)) 64 | anno = anno[:n] 65 | img_files = img_files[:n] 66 | assert len(img_files) == len(anno) 67 | 68 | return img_files, anno 69 | 70 | def __len__(self): 71 | return len(self.seq_names) 72 | 73 | def _check_integrity(self, root_dir): 74 | seq_names = os.listdir(root_dir) 75 | seq_names = [n for n in seq_names if not n[0] == '.'] 76 | 77 | if os.path.isdir(root_dir) and len(seq_names) > 0: 78 | # check each sequence folder 79 | for seq_name in seq_names: 80 | seq_dir = os.path.join(root_dir, seq_name) 81 | if not os.path.isdir(seq_dir): 82 | print('Warning: sequence %s not exists.' % seq_name) 83 | else: 84 | # dataset not exists 85 | raise Exception('Dataset not found or corrupted.') 86 | -------------------------------------------------------------------------------- /trackers/results/OTB2015/SiamFC/Matrix.txt: -------------------------------------------------------------------------------- 1 | 331.000,39.000,38.000,42.000 2 | 333.204,35.537,38.000,42.000 3 | 331.000,27.980,38.000,42.000 4 | 331.315,21.053,38.000,42.000 5 | 333.204,14.126,38.000,42.000 6 | 337.927,12.237,38.000,42.000 7 | 342.020,18.219,38.000,42.000 8 | 350.836,26.720,38.000,42.000 9 | 356.504,33.962,38.000,42.000 10 | 358.393,42.149,38.000,42.000 11 | 350.133,49.524,38.841,42.929 12 | 360.783,58.047,38.012,42.014 13 | 367.082,61.512,38.012,42.014 14 | 361.720,63.174,37.202,41.118 15 | 352.472,50.536,37.202,41.118 16 | 344.150,42.213,37.202,41.118 17 | 336.135,35.431,37.202,41.118 18 | 329.354,29.266,37.202,41.118 19 | 327.812,26.184,37.202,41.118 20 | 320.723,21.868,37.202,41.118 21 | 318.257,18.170,37.202,41.118 22 | 317.332,18.786,37.202,41.118 23 | 321.339,25.567,37.202,41.118 24 | 325.038,28.958,37.202,41.118 25 | 328.737,31.424,37.202,41.118 26 | 332.436,33.274,37.202,41.118 27 | 330.425,32.819,38.025,42.028 28 | 339.562,30.298,38.025,42.028 29 | 339.796,26.891,38.866,42.957 30 | 338.697,22.741,39.726,43.908 31 | 344.952,20.766,39.726,43.908 32 | 352.522,22.412,39.726,43.908 33 | 366.426,30.805,40.605,44.879 34 | 374.164,42.581,40.605,44.879 35 | 388.295,64.450,40.605,44.879 36 | 380.865,58.368,41.503,45.872 37 | 389.262,56.869,40.618,44.894 38 | 393.974,50.811,40.618,44.894 39 | 375.268,22.418,39.752,43.937 40 | 376.644,20.347,38.904,43.000 41 | 377.681,18.631,38.075,42.083 42 | 376.870,20.904,37.263,41.185 43 | 373.399,27.295,36.468,40.307 44 | 374.910,17.928,36.468,40.307 45 | 376.387,19.363,37.275,41.199 46 | 367.431,50.557,37.275,41.199 47 | 350.752,31.717,37.275,41.199 48 | 333.036,17.803,38.100,42.110 49 | 315.673,15.277,38.100,42.110 50 | 302.151,16.122,38.943,43.042 51 | 300.538,18.703,38.943,43.042 52 | 299.437,24.253,39.804,43.994 53 | 302.735,27.551,39.804,43.994 54 | 308.672,28.870,39.804,43.994 55 | 308.574,30.094,40.685,44.968 56 | 308.237,26.386,40.685,44.968 57 | 300.547,22.317,39.817,44.009 58 | 295.657,18.065,40.698,44.982 59 | 297.680,10.983,40.698,44.982 60 | 294.081,11.885,41.599,45.978 61 | 291.476,13.879,42.519,46.995 62 | 295.351,14.936,42.519,46.995 63 | 305.216,13.175,42.519,46.995 64 | 319.000,5.345,43.460,48.035 65 | 325.122,2.104,43.460,48.035 66 | 322.773,8.297,44.421,49.097 67 | 317.699,13.864,45.404,50.184 68 | 321.810,12.586,44.436,49.114 69 | 325.520,13.189,45.419,50.200 70 | 324.767,7.920,45.419,50.200 71 | 313.101,3.780,45.419,50.200 72 | 303.693,2.651,45.419,50.200 73 | 304.822,0.017,45.419,50.200 74 | 295.875,-1.624,44.451,49.130 75 | 289.269,5.093,45.434,50.217 76 | 284.861,26.019,46.439,51.328 77 | 276.011,77.196,46.439,51.328 78 | 284.861,74.502,46.439,51.328 79 | 250.813,90.702,47.467,52.463 80 | 254.352,85.195,47.467,52.463 81 | 291.630,77.794,46.455,51.344 82 | 292.125,63.501,45.464,50.250 83 | 285.711,73.841,44.494,49.178 84 | 233.964,92.421,45.479,50.266 85 | 256.605,83.151,44.509,49.194 86 | 237.364,86.050,45.494,50.283 87 | 211.689,95.670,44.524,49.210 88 | 213.942,99.039,43.574,48.161 89 | 227.283,81.457,42.645,47.134 90 | 217.742,61.669,42.645,47.134 91 | 201.135,32.341,42.645,47.134 92 | 180.134,24.121,43.588,48.177 93 | 159.547,11.841,43.588,48.177 94 | 137.385,20.710,42.659,47.149 95 | 138.013,33.023,43.603,48.192 96 | 136.568,33.385,43.603,48.192 97 | 135.845,44.585,43.603,48.192 98 | 142.578,49.974,42.673,47.165 99 | 149.296,50.327,42.673,47.165 100 | 161.318,50.681,42.673,47.165 101 | -------------------------------------------------------------------------------- /trackers/results/OTB2015/ECO/Matrix.txt: -------------------------------------------------------------------------------- 1 | 331.000,39.000,38.000,42.000 2 | 332.037,39.080,38.760,42.840 3 | 332.873,24.931,37.255,41.176 4 | 332.120,17.662,38.760,42.840 5 | 334.538,14.846,39.535,43.697 6 | 339.994,13.702,38.000,42.000 7 | 343.994,19.792,38.000,42.000 8 | 350.041,27.843,37.255,41.176 9 | 355.160,36.724,37.255,41.176 10 | 361.286,45.091,36.524,40.369 11 | 366.929,55.234,35.106,38.802 12 | 369.438,60.082,35.106,38.802 13 | 366.456,63.421,35.106,38.802 14 | 362.406,60.223,34.418,38.041 15 | 353.126,51.241,35.808,39.578 16 | 348.134,44.625,35.106,38.802 17 | 336.006,35.676,36.524,40.369 18 | 327.941,28.743,37.255,41.176 19 | 325.286,27.163,38.760,42.840 20 | 317.785,19.745,38.760,42.840 21 | 317.732,17.781,39.535,43.697 22 | 318.500,19.399,38.000,42.000 23 | 319.399,25.792,38.000,42.000 24 | 322.197,29.994,38.000,42.000 25 | 324.871,29.080,38.760,42.840 26 | 327.199,30.122,40.326,44.571 27 | 334.538,37.498,38.760,42.840 28 | 334.500,31.208,38.000,42.000 29 | 334.500,27.905,38.000,42.000 30 | 336.538,21.976,39.535,43.697 31 | 345.372,21.163,38.760,42.840 32 | 354.685,23.674,37.255,41.176 33 | 365.605,33.819,36.524,40.369 34 | 378.403,47.556,35.106,38.801 35 | 388.061,65.391,34.418,38.041 36 | 396.002,84.999,33.081,36.564 37 | 397.524,99.304,33.081,36.564 38 | 407.490,102.645,32.433,35.847 39 | 395.567,86.381,31.797,35.144 40 | 396.219,113.359,30.562,33.779 41 | 400.338,125.808,31.173,34.455 42 | 396.226,124.061,31.173,34.455 43 | 389.277,114.687,31.173,34.455 44 | 385.266,100.058,29.963,33.117 45 | 384.176,83.788,31.173,34.455 46 | 367.807,58.355,31.797,35.144 47 | 357.569,38.438,33.081,36.564 48 | 338.566,19.569,34.418,38.041 49 | 318.752,17.037,34.418,38.041 50 | 307.982,15.438,35.106,38.801 51 | 301.778,19.550,34.418,38.041 52 | 298.902,22.099,35.808,39.578 53 | 302.279,28.843,37.255,41.176 54 | 306.893,31.197,38.000,42.000 55 | 313.214,30.652,39.535,43.697 56 | 305.410,26.107,38.000,42.000 57 | 305.500,22.006,38.000,42.000 58 | 304.203,16.579,38.760,42.840 59 | 299.521,11.399,40.326,44.571 60 | 294.553,9.322,41.955,46.371 61 | 290.577,13.540,43.650,48.245 62 | 297.313,12.403,45.413,50.194 63 | 306.105,8.614,46.322,51.198 64 | 319.288,3.919,47.248,52.222 65 | 324.464,2.154,47.248,52.222 66 | 325.793,6.626,45.413,50.194 67 | 319.288,7.624,47.248,52.222 68 | 321.823,11.427,48.193,53.266 69 | 322.994,12.389,47.248,52.222 70 | 316.108,6.683,49.157,54.331 71 | 312.405,0.683,47.248,52.222 72 | 311.148,-1.290,46.322,51.198 73 | 308.571,-0.597,45.413,50.194 74 | 300.382,0.378,43.650,48.245 75 | 288.654,7.267,44.523,49.210 76 | 277.478,31.103,46.322,51.198 77 | 277.339,78.017,46.322,51.198 78 | 300.346,119.859,47.248,52.222 79 | 316.775,154.964,46.322,51.198 80 | 333.758,174.507,47.248,52.222 81 | 339.898,190.776,49.157,54.331 82 | 335.299,184.398,51.143,56.526 83 | 329.481,177.502,52.166,57.657 84 | 319.756,174.047,50.140,55.418 85 | 302.376,161.566,52.166,57.657 86 | 283.390,139.966,54.273,59.986 87 | 263.178,112.717,55.359,61.186 88 | 245.354,95.322,57.595,63.658 89 | 236.034,68.871,59.922,66.230 90 | 224.006,43.452,62.343,68.905 91 | 207.159,22.804,63.590,70.283 92 | 181.521,12.450,64.862,71.689 93 | 156.134,13.358,63.590,70.283 94 | 145.031,15.068,66.159,73.123 95 | 148.969,19.974,68.832,76.077 96 | 133.796,25.996,67.482,74.585 97 | 147.343,34.665,70.208,77.599 98 | 152.889,40.045,73.045,80.734 99 | 168.109,39.326,74.506,82.348 100 | 160.338,33.222,73.045,80.734 101 | -------------------------------------------------------------------------------- /trackers/results/OTB2015/MDNet/Human8.txt: -------------------------------------------------------------------------------- 1 | 110.0,101.0,30.0,91.0 2 | 112.0,104.0,30.0,88.0 3 | 112.0,102.0,31.0,90.0 4 | 116.0,104.0,27.0,89.0 5 | 113.0,97.0,30.0,90.0 6 | 116.0,106.0,30.0,87.0 7 | 119.0,110.0,30.0,86.0 8 | 118.0,109.0,30.0,85.0 9 | 119.0,109.0,30.0,86.0 10 | 119.0,108.0,30.0,86.0 11 | 121.0,106.0,30.0,88.0 12 | 124.0,106.0,31.0,89.0 13 | 124.0,105.0,30.0,90.0 14 | 127.0,106.0,31.0,88.0 15 | 127.0,105.0,30.0,90.0 16 | 129.0,106.0,31.0,84.0 17 | 129.0,106.0,30.0,83.0 18 | 130.0,105.0,29.0,83.0 19 | 129.0,105.0,29.0,82.0 20 | 131.0,102.0,27.0,84.0 21 | 133.0,104.0,28.0,84.0 22 | 134.0,99.0,28.0,86.0 23 | 135.0,104.0,29.0,84.0 24 | 137.0,106.0,28.0,83.0 25 | 140.0,103.0,28.0,85.0 26 | 140.0,101.0,29.0,86.0 27 | 141.0,104.0,29.0,84.0 28 | 144.0,102.0,27.0,82.0 29 | 143.0,102.0,27.0,82.0 30 | 147.0,101.0,27.0,81.0 31 | 147.0,102.0,28.0,81.0 32 | 148.0,95.0,28.0,84.0 33 | 151.0,97.0,26.0,81.0 34 | 152.0,97.0,26.0,80.0 35 | 152.0,94.0,27.0,83.0 36 | 153.0,92.0,26.0,82.0 37 | 153.0,95.0,25.0,78.0 38 | 152.0,94.0,25.0,79.0 39 | 150.0,95.0,26.0,76.0 40 | 151.0,93.0,26.0,77.0 41 | 151.0,92.0,27.0,78.0 42 | 153.0,96.0,27.0,79.0 43 | 153.0,97.0,26.0,78.0 44 | 154.0,94.0,25.0,81.0 45 | 158.0,102.0,23.0,75.0 46 | 158.0,101.0,23.0,75.0 47 | 159.0,100.0,23.0,75.0 48 | 161.0,99.0,23.0,75.0 49 | 164.0,101.0,23.0,75.0 50 | 166.0,97.0,22.0,77.0 51 | 167.0,98.0,22.0,74.0 52 | 171.0,100.0,22.0,74.0 53 | 174.0,101.0,24.0,74.0 54 | 176.0,103.0,23.0,73.0 55 | 176.0,100.0,23.0,72.0 56 | 177.0,102.0,23.0,71.0 57 | 176.0,98.0,23.0,73.0 58 | 177.0,97.0,23.0,75.0 59 | 178.0,99.0,24.0,75.0 60 | 178.0,102.0,24.0,73.0 61 | 181.0,100.0,23.0,73.0 62 | 181.0,99.0,24.0,73.0 63 | 181.0,100.0,24.0,71.0 64 | 182.0,99.0,25.0,74.0 65 | 185.0,100.0,24.0,76.0 66 | 186.0,100.0,25.0,74.0 67 | 185.0,97.0,25.0,76.0 68 | 184.0,97.0,25.0,76.0 69 | 185.0,100.0,25.0,73.0 70 | 184.0,97.0,25.0,74.0 71 | 185.0,96.0,25.0,75.0 72 | 184.0,100.0,25.0,73.0 73 | 186.0,99.0,25.0,75.0 74 | 187.0,98.0,24.0,75.0 75 | 188.0,98.0,24.0,75.0 76 | 190.0,98.0,23.0,75.0 77 | 192.0,94.0,23.0,76.0 78 | 193.0,95.0,22.0,75.0 79 | 194.0,98.0,22.0,73.0 80 | 193.0,98.0,23.0,73.0 81 | 193.0,99.0,24.0,72.0 82 | 193.0,97.0,23.0,72.0 83 | 195.0,98.0,23.0,72.0 84 | 196.0,99.0,24.0,72.0 85 | 197.0,101.0,23.0,71.0 86 | 197.0,100.0,24.0,72.0 87 | 198.0,102.0,24.0,73.0 88 | 197.0,102.0,25.0,73.0 89 | 198.0,103.0,25.0,72.0 90 | 199.0,99.0,25.0,75.0 91 | 198.0,99.0,24.0,74.0 92 | 198.0,97.0,24.0,75.0 93 | 199.0,98.0,24.0,74.0 94 | 199.0,97.0,24.0,73.0 95 | 200.0,100.0,24.0,71.0 96 | 200.0,98.0,23.0,72.0 97 | 201.0,99.0,24.0,70.0 98 | 201.0,100.0,24.0,69.0 99 | 202.0,99.0,24.0,69.0 100 | 201.0,101.0,23.0,66.0 101 | 200.0,99.0,23.0,65.0 102 | 201.0,101.0,23.0,64.0 103 | 202.0,103.0,23.0,65.0 104 | 202.0,101.0,23.0,67.0 105 | 203.0,102.0,23.0,66.0 106 | 205.0,103.0,23.0,66.0 107 | 205.0,103.0,22.0,65.0 108 | 208.0,104.0,22.0,66.0 109 | 208.0,104.0,23.0,65.0 110 | 209.0,102.0,23.0,65.0 111 | 208.0,103.0,22.0,64.0 112 | 206.0,98.0,23.0,66.0 113 | 206.0,100.0,22.0,63.0 114 | 205.0,101.0,21.0,60.0 115 | 205.0,100.0,21.0,60.0 116 | 204.0,97.0,21.0,61.0 117 | 204.0,98.0,20.0,62.0 118 | 203.0,98.0,21.0,62.0 119 | 204.0,98.0,21.0,63.0 120 | 205.0,98.0,21.0,63.0 121 | 203.0,97.0,22.0,62.0 122 | 204.0,98.0,21.0,61.0 123 | 204.0,98.0,21.0,61.0 124 | 207.0,99.0,22.0,61.0 125 | 208.0,98.0,22.0,61.0 126 | 209.0,97.0,22.0,62.0 127 | 210.0,95.0,23.0,63.0 128 | 212.0,99.0,22.0,60.0 129 | -------------------------------------------------------------------------------- /trackers/results/OTB2015/ECO/Bird2.txt: -------------------------------------------------------------------------------- 1 | 82.000,218.000,69.000,73.000 2 | 81.935,217.855,71.788,75.949 3 | 85.594,218.855,71.788,75.949 4 | 88.264,218.525,71.788,75.949 5 | 93.923,219.855,71.788,75.949 6 | 97.687,216.608,74.688,79.018 7 | 103.051,219.022,76.182,80.598 8 | 109.687,218.608,74.688,79.018 9 | 114.304,220.374,74.688,79.018 10 | 116.230,220.612,76.182,80.598 11 | 123.311,221.766,73.223,77.468 12 | 129.522,224.573,70.380,74.460 13 | 131.264,226.184,71.788,75.949 14 | 136.311,229.833,73.223,77.468 15 | 139.304,228.991,74.688,79.018 16 | 143.304,228.991,74.688,79.018 17 | 152.581,230.525,71.788,75.949 18 | 160.387,233.277,69.000,73.000 19 | 167.479,233.189,66.321,70.165 20 | 170.434,233.968,67.647,71.569 21 | 176.805,235.105,65.020,68.790 22 | 180.601,236.309,65.020,68.790 23 | 184.566,238.598,62.495,66.118 24 | 185.398,238.309,65.020,68.790 25 | 189.805,239.309,65.020,68.790 26 | 194.168,242.140,63.745,67.441 27 | 197.023,241.645,66.321,70.165 28 | 202.168,243.960,63.745,67.441 29 | 203.795,242.417,66.321,70.165 30 | 206.398,243.105,65.020,68.790 31 | 210.805,241.901,65.020,68.790 32 | 215.251,241.417,66.321,70.165 33 | 220.168,240.419,63.745,67.441 34 | 226.528,238.419,63.745,67.441 35 | 227.795,237.417,66.321,70.165 36 | 231.023,237.417,66.321,70.165 37 | 233.832,237.277,69.000,73.000 38 | 239.023,237.189,66.321,70.165 39 | 241.181,237.968,67.647,71.569 40 | 246.601,237.901,65.020,68.790 41 | 250.601,239.309,65.020,68.790 42 | 251.568,238.417,66.321,70.165 43 | 249.424,237.716,67.647,71.569 44 | 248.310,236.270,70.380,74.460 45 | 247.007,234.967,70.380,74.460 46 | 249.955,235.122,73.223,77.468 47 | 259.693,233.201,76.182,80.598 48 | 269.282,231.791,76.182,80.598 49 | 283.090,231.055,73.223,77.468 50 | 283.007,228.361,70.380,74.460 51 | 279.177,226.766,73.223,77.468 52 | 273.178,226.612,76.182,80.598 53 | 268.331,225.395,77.705,82.210 54 | 266.008,224.226,74.688,79.018 55 | 262.008,225.374,74.688,79.018 56 | 262.277,226.525,71.788,75.949 57 | 255.961,225.196,71.788,75.949 58 | 246.754,224.766,73.223,77.468 59 | 240.625,221.226,74.688,79.018 60 | 235.178,220.201,76.182,80.598 61 | 228.893,219.395,77.705,82.210 62 | 223.242,219.608,74.688,79.018 63 | 221.948,222.855,71.788,75.949 64 | 221.723,222.723,69.000,73.000 65 | 220.172,224.968,67.647,71.569 66 | 213.890,224.000,69.000,73.000 67 | 212.172,224.716,67.647,71.569 68 | 206.971,227.309,65.020,68.790 69 | 200.667,225.716,67.647,71.569 70 | 195.971,224.698,65.020,68.790 71 | 189.546,221.059,63.745,67.441 72 | 182.546,214.879,63.745,67.441 73 | 177.907,212.419,63.745,67.441 74 | 170.200,210.189,66.321,70.165 75 | 166.445,210.278,69.000,73.000 76 | 161.667,210.716,67.647,71.569 77 | 156.401,209.270,70.380,74.460 78 | 153.168,210.000,69.000,73.000 79 | 147.890,210.000,69.000,73.000 80 | 145.445,211.278,69.000,73.000 81 | 142.656,214.873,66.321,70.165 82 | 137.428,214.417,66.321,70.165 83 | 133.656,214.417,66.321,70.165 84 | 132.267,215.780,63.745,67.441 85 | 130.938,216.441,62.495,66.118 86 | 128.786,215.105,65.020,68.789 87 | 127.786,217.513,65.020,68.789 88 | 126.112,217.645,66.321,70.165 89 | 124.582,218.105,65.020,68.789 90 | 121.172,217.968,67.647,71.569 91 | 117.445,218.278,69.000,73.000 92 | 123.251,221.873,66.321,70.165 93 | 122.000,221.278,69.000,73.000 94 | 113.961,219.525,71.788,75.949 95 | 116.916,218.967,70.380,74.460 96 | 91.486,213.699,73.223,77.468 97 | 87.821,212.410,73.223,77.468 98 | 108.856,205.149,70.380,74.460 99 | 144.492,178.008,73.223,77.468 100 | -------------------------------------------------------------------------------- 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70.0,54.0,26.0,35.0 113 | 69.0,55.0,25.0,34.0 114 | 69.0,54.0,26.0,34.0 115 | 68.0,55.0,25.0,34.0 116 | 67.0,55.0,24.0,33.0 117 | 67.0,55.0,24.0,33.0 118 | 67.0,55.0,24.0,33.0 119 | 67.0,55.0,24.0,33.0 120 | 67.0,54.0,24.0,34.0 121 | 67.0,54.0,25.0,34.0 122 | 68.0,54.0,24.0,34.0 123 | 68.0,54.0,25.0,34.0 124 | 70.0,55.0,23.0,33.0 125 | 69.0,55.0,24.0,34.0 126 | 69.0,55.0,24.0,33.0 127 | 70.0,55.0,24.0,33.0 128 | 70.0,55.0,24.0,33.0 129 | 71.0,55.0,23.0,33.0 130 | 71.0,55.0,23.0,33.0 131 | 70.0,55.0,25.0,33.0 132 | 70.0,55.0,24.0,33.0 133 | 71.0,55.0,24.0,33.0 134 | 71.0,55.0,23.0,33.0 135 | -------------------------------------------------------------------------------- /trackers/results/OTB2015/SiamFC/Bird2.txt: -------------------------------------------------------------------------------- 1 | 82.000,218.000,69.000,73.000 2 | 83.677,219.677,69.000,73.000 3 | 85.913,218.559,69.000,73.000 4 | 89.826,220.236,69.000,73.000 5 | 93.122,221.168,70.527,74.615 6 | 95.408,223.454,70.527,74.615 7 | 99.979,224.597,70.527,74.615 8 | 106.835,224.025,70.527,74.615 9 | 110.835,225.168,70.527,74.615 10 | 114.204,226.714,72.087,76.266 11 | 120.628,226.714,72.087,76.266 12 | 124.132,223.210,72.087,76.266 13 | 129.394,225.395,73.682,77.953 14 | 132.295,226.391,75.312,79.678 15 | 142.057,224.561,75.312,79.678 16 | 146.328,225.781,75.312,79.678 17 | 149.379,227.001,75.312,79.678 18 | 152.429,225.781,75.312,79.678 19 | 154.870,228.832,75.312,79.678 20 | 162.191,231.882,75.312,79.678 21 | 168.293,230.662,75.312,79.678 22 | 173.784,231.272,75.312,79.678 23 | 176.835,232.492,75.312,79.678 24 | 180.496,233.713,75.312,79.678 25 | 184.767,234.933,75.312,79.678 26 | 188.427,236.153,75.312,79.678 27 | 192.698,237.373,75.312,79.678 28 | 196.969,236.763,75.312,79.678 29 | 200.630,237.373,75.312,79.678 30 | 200.020,236.153,75.312,79.678 31 | 204.291,237.373,75.312,79.678 32 | 207.952,236.153,75.312,79.678 33 | 211.003,237.984,75.312,79.678 34 | 214.053,237.373,75.312,79.678 35 | 217.104,237.984,75.312,79.678 36 | 219.436,237.102,76.978,81.441 37 | 222.554,237.102,76.978,81.441 38 | 226.296,235.855,76.978,81.441 39 | 229.414,235.855,76.978,81.441 40 | 233.156,234.608,76.978,81.441 41 | 237.521,235.231,76.978,81.441 42 | 240.016,235.231,76.978,81.441 43 | 240.639,235.855,76.978,81.441 44 | 245.005,239.597,76.978,81.441 45 | 243.758,238.973,76.978,81.441 46 | 243.758,243.962,76.978,81.441 47 | 255.607,235.855,76.978,81.441 48 | 262.467,238.349,76.978,81.441 49 | 283.124,225.393,75.337,79.704 50 | 285.565,215.017,75.337,79.704 51 | 275.800,218.679,75.337,79.704 52 | 270.307,222.341,75.337,79.704 53 | 264.203,224.172,75.337,79.704 54 | 260.541,224.782,75.337,79.704 55 | 262.983,227.834,75.337,79.704 56 | 267.316,226.331,73.730,78.005 57 | 252.382,225.136,73.730,78.005 58 | 252.806,223.653,75.362,79.730 59 | 255.248,226.706,75.362,79.730 60 | 260.133,227.927,75.362,79.730 61 | 257.691,223.653,75.362,79.730 62 | 253.417,220.601,75.362,79.730 63 | 250.049,222.886,77.029,81.494 64 | 242.723,223.279,78.733,83.297 65 | 219.760,221.366,78.733,83.297 66 | 215.066,222.869,77.054,81.521 67 | 207.464,224.941,75.411,79.783 68 | 203.188,226.163,75.411,79.783 69 | 197.689,227.996,75.411,79.783 70 | 195.549,223.547,73.803,78.081 71 | 189.997,214.006,72.229,76.416 72 | 187.071,211.080,72.229,76.416 73 | 183.560,209.910,72.229,76.416 74 | 171.272,207.569,72.229,76.416 75 | 166.590,209.910,72.229,76.416 76 | 160.739,212.836,72.229,76.416 77 | 156.643,210.495,72.229,76.416 78 | 153.132,208.155,72.229,76.416 79 | 153.717,209.325,72.229,76.416 80 | 147.865,207.569,72.229,76.416 81 | 150.791,211.666,72.229,76.416 82 | 147.865,214.591,72.229,76.416 83 | 144.940,216.932,72.229,76.416 84 | 140.843,221.028,72.229,76.416 85 | 135.577,223.954,72.229,76.416 86 | 132.350,224.323,73.827,78.107 87 | 129.359,219.538,73.827,78.107 88 | 126.967,217.744,73.827,78.107 89 | 125.172,215.351,73.827,78.107 90 | 120.387,211.762,73.827,78.107 91 | 116.201,213.557,73.827,78.107 92 | 115.005,208.772,73.827,78.107 93 | 117.397,211.762,73.827,78.107 94 | 119.789,215.351,73.827,78.107 95 | 101.553,210.996,72.253,76.441 96 | 85.748,213.337,72.253,76.441 97 | 80.480,213.922,72.253,76.441 98 | 105.065,202.801,72.253,76.441 99 | 144.868,171.777,72.253,76.441 100 | -------------------------------------------------------------------------------- /trackers/results/OTB2015/MDNet/Trans.txt: -------------------------------------------------------------------------------- 1 | 196.0,51.0,139.0,194.0 2 | 196.0,51.0,140.0,191.0 3 | 197.0,49.0,140.0,193.0 4 | 197.0,48.0,141.0,192.0 5 | 194.0,47.0,144.0,195.0 6 | 194.0,46.0,145.0,196.0 7 | 194.0,45.0,145.0,197.0 8 | 193.0,42.0,145.0,199.0 9 | 192.0,42.0,147.0,203.0 10 | 192.0,39.0,148.0,205.0 11 | 193.0,38.0,143.0,203.0 12 | 191.0,39.0,143.0,203.0 13 | 188.0,37.0,146.0,210.0 14 | 188.0,38.0,146.0,205.0 15 | 184.0,35.0,148.0,208.0 16 | 183.0,33.0,147.0,210.0 17 | 182.0,34.0,146.0,211.0 18 | 180.0,34.0,145.0,216.0 19 | 179.0,34.0,142.0,212.0 20 | 177.0,31.0,140.0,210.0 21 | 177.0,26.0,139.0,215.0 22 | 177.0,28.0,135.0,211.0 23 | 175.0,27.0,133.0,204.0 24 | 175.0,26.0,136.0,211.0 25 | 175.0,27.0,136.0,205.0 26 | 174.0,29.0,137.0,205.0 27 | 172.0,29.0,140.0,202.0 28 | 172.0,29.0,146.0,209.0 29 | 174.0,31.0,143.0,203.0 30 | 172.0,30.0,148.0,206.0 31 | 174.0,31.0,151.0,197.0 32 | 177.0,36.0,154.0,196.0 33 | 175.0,34.0,159.0,193.0 34 | 178.0,36.0,166.0,199.0 35 | 177.0,36.0,169.0,188.0 36 | 176.0,35.0,172.0,194.0 37 | 179.0,34.0,168.0,193.0 38 | 183.0,30.0,167.0,203.0 39 | 190.0,31.0,163.0,201.0 40 | 199.0,31.0,161.0,200.0 41 | 207.0,32.0,157.0,210.0 42 | 217.0,38.0,153.0,208.0 43 | 225.0,42.0,151.0,205.0 44 | 228.0,52.0,153.0,203.0 45 | 235.0,69.0,136.0,190.0 46 | 239.0,64.0,140.0,195.0 47 | 243.0,57.0,151.0,202.0 48 | 250.0,54.0,151.0,206.0 49 | 258.0,45.0,149.0,202.0 50 | 262.0,51.0,148.0,203.0 51 | 268.0,50.0,148.0,201.0 52 | 276.0,50.0,159.0,207.0 53 | 297.0,55.0,160.0,205.0 54 | 319.0,67.0,158.0,207.0 55 | 339.0,75.0,152.0,207.0 56 | 343.0,89.0,154.0,208.0 57 | 349.0,88.0,146.0,203.0 58 | 350.0,92.0,147.0,203.0 59 | 355.0,88.0,145.0,201.0 60 | 353.0,83.0,142.0,199.0 61 | 346.0,90.0,152.0,202.0 62 | 287.0,109.0,146.0,178.0 63 | 271.0,115.0,145.0,166.0 64 | 274.0,113.0,143.0,171.0 65 | 270.0,107.0,135.0,167.0 66 | 270.0,110.0,135.0,168.0 67 | 266.0,110.0,134.0,166.0 68 | 260.0,107.0,130.0,159.0 69 | 259.0,105.0,129.0,154.0 70 | 258.0,100.0,134.0,161.0 71 | 257.0,108.0,131.0,154.0 72 | 255.0,103.0,124.0,152.0 73 | 258.0,103.0,130.0,156.0 74 | 257.0,109.0,129.0,151.0 75 | 256.0,115.0,122.0,147.0 76 | 257.0,112.0,121.0,147.0 77 | 257.0,116.0,123.0,145.0 78 | 262.0,117.0,124.0,147.0 79 | 269.0,115.0,121.0,148.0 80 | 280.0,121.0,122.0,147.0 81 | 283.0,125.0,129.0,151.0 82 | 317.0,120.0,123.0,148.0 83 | 371.0,118.0,120.0,157.0 84 | 382.0,120.0,122.0,155.0 85 | 374.0,130.0,117.0,149.0 86 | 371.0,135.0,117.0,147.0 87 | 333.0,135.0,123.0,150.0 88 | 305.0,140.0,130.0,147.0 89 | 291.0,138.0,131.0,143.0 90 | 318.0,138.0,119.0,143.0 91 | 335.0,140.0,111.0,143.0 92 | 340.0,143.0,107.0,140.0 93 | 342.0,145.0,107.0,136.0 94 | 325.0,138.0,109.0,153.0 95 | 316.0,136.0,107.0,150.0 96 | 300.0,147.0,119.0,130.0 97 | 297.0,155.0,116.0,127.0 98 | 319.0,156.0,116.0,128.0 99 | 324.0,149.0,115.0,129.0 100 | 326.0,158.0,113.0,125.0 101 | 321.0,162.0,110.0,123.0 102 | 319.0,162.0,108.0,121.0 103 | 325.0,161.0,108.0,120.0 104 | 332.0,156.0,109.0,123.0 105 | 331.0,158.0,107.0,120.0 106 | 331.0,159.0,108.0,120.0 107 | 333.0,153.0,106.0,120.0 108 | 322.0,161.0,105.0,118.0 109 | 336.0,158.0,103.0,116.0 110 | 331.0,158.0,103.0,117.0 111 | 329.0,160.0,101.0,115.0 112 | 331.0,159.0,103.0,117.0 113 | 329.0,158.0,103.0,117.0 114 | 332.0,157.0,105.0,119.0 115 | 327.0,156.0,103.0,118.0 116 | 326.0,159.0,105.0,115.0 117 | 334.0,154.0,104.0,117.0 118 | 334.0,154.0,105.0,117.0 119 | 333.0,151.0,104.0,119.0 120 | 331.0,155.0,106.0,120.0 121 | 331.0,156.0,105.0,119.0 122 | 331.0,155.0,105.0,118.0 123 | 330.0,154.0,105.0,118.0 124 | 332.0,157.0,104.0,119.0 125 | -------------------------------------------------------------------------------- /trackers/results/OTB2015/MDNet/Couple.txt: -------------------------------------------------------------------------------- 1 | 51.0,47.0,25.0,62.0 2 | 47.0,41.0,26.0,63.0 3 | 34.0,38.0,26.0,61.0 4 | 31.0,43.0,27.0,61.0 5 | 38.0,38.0,25.0,63.0 6 | 30.0,39.0,26.0,64.0 7 | 33.0,39.0,26.0,64.0 8 | 37.0,42.0,25.0,63.0 9 | 42.0,40.0,24.0,62.0 10 | 40.0,35.0,25.0,61.0 11 | 44.0,34.0,26.0,61.0 12 | 48.0,32.0,25.0,65.0 13 | 62.0,34.0,26.0,68.0 14 | 66.0,31.0,27.0,65.0 15 | 64.0,29.0,26.0,64.0 16 | 86.0,29.0,26.0,64.0 17 | 100.0,31.0,26.0,65.0 18 | 91.0,24.0,25.0,65.0 19 | 84.0,25.0,25.0,65.0 20 | 89.0,23.0,25.0,64.0 21 | 86.0,24.0,25.0,65.0 22 | 82.0,27.0,25.0,64.0 23 | 86.0,32.0,25.0,66.0 24 | 92.0,37.0,26.0,66.0 25 | 76.0,41.0,25.0,67.0 26 | 76.0,38.0,25.0,66.0 27 | 82.0,26.0,25.0,67.0 28 | 80.0,21.0,25.0,66.0 29 | 69.0,10.0,28.0,67.0 30 | 62.0,10.0,25.0,67.0 31 | 64.0,12.0,26.0,66.0 32 | 76.0,20.0,25.0,65.0 33 | 83.0,22.0,27.0,66.0 34 | 91.0,23.0,25.0,66.0 35 | 108.0,21.0,24.0,67.0 36 | 120.0,26.0,25.0,65.0 37 | 114.0,22.0,25.0,66.0 38 | 114.0,20.0,26.0,68.0 39 | 133.0,24.0,27.0,68.0 40 | 141.0,25.0,25.0,69.0 41 | 149.0,30.0,25.0,66.0 42 | 152.0,30.0,26.0,65.0 43 | 153.0,30.0,25.0,67.0 44 | 150.0,24.0,26.0,73.0 45 | 154.0,23.0,25.0,69.0 46 | 154.0,28.0,26.0,69.0 47 | 126.0,32.0,25.0,68.0 48 | 106.0,32.0,24.0,66.0 49 | 104.0,29.0,24.0,67.0 50 | 104.0,31.0,25.0,67.0 51 | 107.0,20.0,24.0,70.0 52 | 109.0,8.0,26.0,72.0 53 | 110.0,10.0,27.0,71.0 54 | 118.0,17.0,28.0,72.0 55 | 121.0,17.0,27.0,73.0 56 | 123.0,26.0,25.0,72.0 57 | 113.0,28.0,24.0,71.0 58 | 113.0,27.0,25.0,71.0 59 | 104.0,23.0,27.0,74.0 60 | 104.0,16.0,26.0,78.0 61 | 128.0,17.0,27.0,72.0 62 | 138.0,14.0,28.0,76.0 63 | 131.0,17.0,27.0,76.0 64 | 133.0,26.0,26.0,75.0 65 | 131.0,34.0,25.0,71.0 66 | 131.0,39.0,24.0,68.0 67 | 135.0,41.0,24.0,73.0 68 | 143.0,54.0,26.0,72.0 69 | 141.0,60.0,28.0,72.0 70 | 124.0,58.0,27.0,71.0 71 | 129.0,42.0,25.0,74.0 72 | 124.0,46.0,24.0,71.0 73 | 112.0,53.0,24.0,70.0 74 | 102.0,39.0,25.0,72.0 75 | 98.0,44.0,25.0,73.0 76 | 111.0,50.0,25.0,77.0 77 | 121.0,62.0,24.0,75.0 78 | 129.0,65.0,24.0,73.0 79 | 139.0,62.0,23.0,76.0 80 | 151.0,74.0,23.0,70.0 81 | 138.0,61.0,25.0,72.0 82 | 146.0,55.0,24.0,70.0 83 | 160.0,52.0,25.0,72.0 84 | 169.0,51.0,24.0,75.0 85 | 174.0,51.0,26.0,72.0 86 | 185.0,50.0,26.0,74.0 87 | 182.0,52.0,25.0,80.0 88 | 179.0,47.0,24.0,80.0 89 | 179.0,54.0,25.0,75.0 90 | 178.0,48.0,22.0,72.0 91 | 164.0,52.0,26.0,81.0 92 | 127.0,44.0,25.0,73.0 93 | 136.0,39.0,26.0,75.0 94 | 137.0,34.0,25.0,76.0 95 | 139.0,31.0,25.0,76.0 96 | 135.0,26.0,26.0,76.0 97 | 137.0,35.0,26.0,73.0 98 | 150.0,37.0,27.0,77.0 99 | 153.0,42.0,25.0,74.0 100 | 145.0,39.0,27.0,79.0 101 | 145.0,37.0,26.0,76.0 102 | 149.0,36.0,25.0,77.0 103 | 146.0,28.0,27.0,75.0 104 | 137.0,15.0,26.0,75.0 105 | 167.0,18.0,28.0,82.0 106 | 184.0,20.0,27.0,78.0 107 | 185.0,20.0,26.0,78.0 108 | 190.0,25.0,26.0,75.0 109 | 195.0,33.0,27.0,77.0 110 | 181.0,35.0,27.0,74.0 111 | 180.0,34.0,27.0,77.0 112 | 178.0,33.0,28.0,79.0 113 | 172.0,37.0,28.0,81.0 114 | 145.0,37.0,28.0,81.0 115 | 138.0,34.0,26.0,80.0 116 | 129.0,41.0,28.0,81.0 117 | 131.0,41.0,27.0,80.0 118 | 130.0,41.0,24.0,81.0 119 | 127.0,45.0,23.0,79.0 120 | 136.0,49.0,24.0,74.0 121 | 151.0,50.0,25.0,73.0 122 | 160.0,47.0,25.0,79.0 123 | 155.0,41.0,26.0,78.0 124 | 148.0,39.0,29.0,80.0 125 | 152.0,24.0,29.0,80.0 126 | 148.0,16.0,31.0,78.0 127 | 178.0,15.0,27.0,80.0 128 | 185.0,18.0,29.0,78.0 129 | 188.0,24.0,28.0,77.0 130 | 183.0,32.0,27.0,79.0 131 | 180.0,27.0,27.0,82.0 132 | 173.0,29.0,26.0,81.0 133 | 178.0,36.0,25.0,77.0 134 | 167.0,32.0,25.0,75.0 135 | 145.0,29.0,27.0,79.0 136 | 137.0,29.0,26.0,78.0 137 | 154.0,15.0,27.0,77.0 138 | 145.0,18.0,27.0,76.0 139 | 153.0,13.0,28.0,78.0 140 | 151.0,27.0,28.0,78.0 141 | -------------------------------------------------------------------------------- /trackers/results/OTB2015/MDNet/Biker.txt: -------------------------------------------------------------------------------- 1 | 262.0,94.0,16.0,26.0 2 | 261.0,92.0,16.0,26.0 3 | 261.0,92.0,16.0,25.0 4 | 260.0,90.0,16.0,26.0 5 | 260.0,90.0,15.0,26.0 6 | 259.0,89.0,15.0,26.0 7 | 256.0,87.0,16.0,27.0 8 | 253.0,84.0,17.0,28.0 9 | 252.0,83.0,17.0,28.0 10 | 251.0,79.0,17.0,29.0 11 | 250.0,77.0,18.0,29.0 12 | 249.0,75.0,18.0,30.0 13 | 247.0,73.0,18.0,30.0 14 | 246.0,73.0,18.0,29.0 15 | 244.0,71.0,19.0,29.0 16 | 242.0,71.0,19.0,29.0 17 | 240.0,68.0,20.0,28.0 18 | 240.0,67.0,19.0,29.0 19 | 238.0,65.0,19.0,29.0 20 | 237.0,64.0,19.0,29.0 21 | 233.0,63.0,20.0,29.0 22 | 231.0,62.0,22.0,29.0 23 | 228.0,61.0,22.0,29.0 24 | 228.0,60.0,22.0,30.0 25 | 227.0,57.0,21.0,30.0 26 | 227.0,56.0,21.0,30.0 27 | 227.0,53.0,21.0,32.0 28 | 226.0,52.0,22.0,31.0 29 | 225.0,49.0,22.0,32.0 30 | 225.0,48.0,21.0,33.0 31 | 222.0,45.0,22.0,32.0 32 | 221.0,46.0,22.0,29.0 33 | 218.0,42.0,23.0,31.0 34 | 217.0,41.0,23.0,32.0 35 | 216.0,39.0,23.0,33.0 36 | 213.0,35.0,25.0,35.0 37 | 213.0,34.0,24.0,34.0 38 | 211.0,31.0,25.0,35.0 39 | 209.0,30.0,26.0,36.0 40 | 206.0,27.0,26.0,36.0 41 | 205.0,28.0,26.0,34.0 42 | 203.0,25.0,27.0,35.0 43 | 202.0,25.0,27.0,35.0 44 | 201.0,23.0,27.0,37.0 45 | 201.0,22.0,27.0,37.0 46 | 201.0,22.0,27.0,38.0 47 | 201.0,20.0,27.0,38.0 48 | 202.0,20.0,28.0,39.0 49 | 202.0,18.0,28.0,40.0 50 | 203.0,19.0,29.0,39.0 51 | 204.0,18.0,29.0,41.0 52 | 205.0,19.0,28.0,39.0 53 | 207.0,19.0,28.0,41.0 54 | 208.0,19.0,27.0,41.0 55 | 210.0,17.0,28.0,41.0 56 | 213.0,17.0,26.0,40.0 57 | 219.0,16.0,23.0,34.0 58 | 212.0,14.0,31.0,32.0 59 | 212.0,13.0,31.0,32.0 60 | 214.0,13.0,31.0,31.0 61 | 217.0,14.0,31.0,32.0 62 | 218.0,14.0,30.0,34.0 63 | 222.0,22.0,30.0,33.0 64 | 228.0,34.0,27.0,43.0 65 | 235.0,53.0,28.0,37.0 66 | 249.0,69.0,26.0,35.0 67 | 264.0,65.0,28.0,44.0 68 | 276.0,55.0,26.0,42.0 69 | 280.0,44.0,24.0,43.0 70 | 266.0,51.0,28.0,44.0 71 | 277.0,32.0,29.0,45.0 72 | 281.0,29.0,29.0,46.0 73 | 271.0,45.0,29.0,46.0 74 | 266.0,55.0,30.0,47.0 75 | 261.0,55.0,30.0,46.0 76 | 263.0,37.0,30.0,46.0 77 | 257.0,49.0,30.0,46.0 78 | 267.0,53.0,29.0,45.0 79 | 293.0,63.0,29.0,45.0 80 | 250.0,51.0,29.0,45.0 81 | 251.0,71.0,29.0,45.0 82 | 250.0,69.0,29.0,45.0 83 | 249.0,69.0,29.0,44.0 84 | 250.0,54.0,29.0,44.0 85 | 247.0,65.0,29.0,44.0 86 | 247.0,65.0,29.0,44.0 87 | 249.0,68.0,29.0,45.0 88 | 249.0,62.0,28.0,44.0 89 | 250.0,69.0,28.0,44.0 90 | 249.0,72.0,28.0,44.0 91 | 251.0,66.0,28.0,44.0 92 | 248.0,69.0,28.0,44.0 93 | 251.0,74.0,28.0,44.0 94 | 250.0,60.0,28.0,44.0 95 | 250.0,62.0,28.0,44.0 96 | 252.0,74.0,28.0,44.0 97 | 252.0,61.0,28.0,44.0 98 | 252.0,49.0,28.0,44.0 99 | 250.0,56.0,28.0,45.0 100 | 251.0,53.0,28.0,45.0 101 | 252.0,62.0,28.0,45.0 102 | 250.0,68.0,27.0,44.0 103 | 251.0,64.0,27.0,44.0 104 | 251.0,70.0,27.0,44.0 105 | 251.0,66.0,27.0,44.0 106 | 252.0,52.0,27.0,45.0 107 | 252.0,39.0,27.0,44.0 108 | 255.0,32.0,27.0,44.0 109 | 253.0,42.0,27.0,43.0 110 | 255.0,32.0,26.0,42.0 111 | 255.0,31.0,26.0,42.0 112 | 254.0,57.0,26.0,42.0 113 | 255.0,33.0,26.0,42.0 114 | 255.0,33.0,25.0,42.0 115 | 256.0,43.0,25.0,42.0 116 | 256.0,36.0,25.0,41.0 117 | 254.0,38.0,25.0,41.0 118 | 255.0,46.0,25.0,41.0 119 | 254.0,35.0,25.0,41.0 120 | 255.0,35.0,25.0,41.0 121 | 255.0,44.0,25.0,40.0 122 | 254.0,36.0,25.0,40.0 123 | 254.0,34.0,25.0,40.0 124 | 254.0,34.0,25.0,40.0 125 | 255.0,33.0,25.0,41.0 126 | 255.0,32.0,24.0,40.0 127 | 254.0,35.0,24.0,41.0 128 | 257.0,33.0,24.0,40.0 129 | 254.0,33.0,24.0,40.0 130 | 256.0,42.0,24.0,39.0 131 | 252.0,56.0,24.0,39.0 132 | 251.0,54.0,24.0,39.0 133 | 252.0,66.0,24.0,39.0 134 | 251.0,71.0,24.0,39.0 135 | 250.0,70.0,24.0,39.0 136 | 253.0,71.0,24.0,39.0 137 | 251.0,69.0,23.0,38.0 138 | 253.0,70.0,23.0,39.0 139 | 252.0,70.0,23.0,39.0 140 | 252.0,69.0,23.0,39.0 141 | 253.0,62.0,23.0,39.0 142 | 252.0,63.0,23.0,39.0 143 | -------------------------------------------------------------------------------- /got10k/datasets/tcolor128.py: -------------------------------------------------------------------------------- 1 | from __future__ import absolute_import, print_function 2 | 3 | import os 4 | import glob 5 | import numpy as np 6 | import six 7 | 8 | from ..utils.ioutils import download, extract 9 | 10 | 11 | class TColor128(object): 12 | """`TColor128 `_ Dataset. 13 | 14 | Publication: 15 | ``Encoding color information for visual tracking: algorithms and benchmark``, 16 | P. Liang, E. Blasch and H. Ling, TIP, 2015. 17 | 18 | Args: 19 | root_dir (string): Root directory of dataset where sequence 20 | folders exist. 21 | """ 22 | def __init__(self, root_dir, download=True): 23 | super(TColor128, self).__init__() 24 | self.root_dir = root_dir 25 | if download: 26 | self._download(root_dir) 27 | self._check_integrity(root_dir) 28 | 29 | self.anno_files = sorted(glob.glob( 30 | os.path.join(root_dir, '*/*_gt.txt'))) 31 | self.seq_dirs = [os.path.dirname(f) for f in self.anno_files] 32 | self.seq_names = [os.path.basename(d) for d in self.seq_dirs] 33 | # valid frame range for each sequence 34 | self.range_files = [glob.glob( 35 | os.path.join(d, '*_frames.txt'))[0] 36 | for d in self.seq_dirs] 37 | 38 | def __getitem__(self, index): 39 | r""" 40 | Args: 41 | index (integer or string): Index or name of a sequence. 42 | 43 | Returns: 44 | tuple: (img_files, anno), where ``img_files`` is a list of 45 | file names and ``anno`` is a N x 4 (rectangles) numpy array. 46 | """ 47 | if isinstance(index, six.string_types): 48 | if not index in self.seq_names: 49 | raise Exception('Sequence {} not found.'.format(index)) 50 | index = self.seq_names.index(index) 51 | 52 | # load valid frame range 53 | frames = np.loadtxt( 54 | self.range_files[index], dtype=int, delimiter=',') 55 | img_files = [os.path.join( 56 | self.seq_dirs[index], 'img/%04d.jpg' % f) 57 | for f in range(frames[0], frames[1] + 1)] 58 | 59 | # load annotations 60 | anno = np.loadtxt(self.anno_files[index], delimiter=',') 61 | assert len(img_files) == len(anno) 62 | assert anno.shape[1] == 4 63 | 64 | return img_files, anno 65 | 66 | def __len__(self): 67 | return len(self.seq_names) 68 | 69 | def _download(self, root_dir): 70 | if not os.path.isdir(root_dir): 71 | os.makedirs(root_dir) 72 | elif len(os.listdir(root_dir)) > 100: 73 | print('Files already downloaded.') 74 | return 75 | 76 | url = 'http://www.dabi.temple.edu/~hbling/data/TColor-128/Temple-color-128.zip' 77 | zip_file = os.path.join(root_dir, 'Temple-color-128.zip') 78 | print('Downloading to %s...' % zip_file) 79 | download(url, zip_file) 80 | print('\nExtracting to %s...' % root_dir) 81 | extract(zip_file, root_dir) 82 | 83 | return root_dir 84 | 85 | def _check_integrity(self, root_dir): 86 | seq_names = os.listdir(root_dir) 87 | seq_names = [n for n in seq_names if not n[0] == '.'] 88 | 89 | if os.path.isdir(root_dir) and len(seq_names) > 0: 90 | # check each sequence folder 91 | for seq_name in seq_names: 92 | seq_dir = os.path.join(root_dir, seq_name) 93 | if not os.path.isdir(seq_dir): 94 | print('Warning: sequence %s not exists.' % seq_name) 95 | else: 96 | # dataset not exists 97 | raise Exception('Dataset not found or corrupted. ' + 98 | 'You can use download=True to download it.') 99 | -------------------------------------------------------------------------------- /trackers/results/OTB2015/ECO/DragonBaby.txt: -------------------------------------------------------------------------------- 1 | 160.000,83.000,56.000,65.000 2 | 166.806,84.262,53.825,62.476 3 | 175.659,83.468,51.735,60.050 4 | 175.631,81.218,53.825,62.476 5 | 178.844,78.914,56.000,65.000 6 | 185.278,74.297,58.262,67.626 7 | 186.543,60.390,60.616,70.358 8 | 168.347,35.657,59.428,68.979 9 | 163.024,34.858,59.428,68.979 10 | 155.078,48.535,57.120,66.300 11 | 146.871,61.993,59.428,68.978 12 | 146.832,68.889,57.120,66.300 13 | 146.984,75.961,54.902,63.725 14 | 146.500,80.430,56.000,65.000 15 | 147.587,91.700,53.825,62.476 16 | 148.672,95.430,56.000,65.000 17 | 165.019,93.508,54.902,63.725 18 | 186.094,91.242,57.120,66.300 19 | 190.548,93.468,59.428,68.978 20 | 185.989,85.622,61.828,71.765 21 | 179.347,82.920,64.326,74.665 22 | 176.299,86.346,63.065,73.200 23 | 164.514,81.876,65.613,76.158 24 | 160.144,79.362,66.925,77.681 25 | 132.701,82.966,65.613,76.158 26 | 135.832,85.415,64.326,74.664 27 | 160.286,81.425,64.326,74.664 28 | 189.096,80.677,63.065,73.200 29 | 191.984,82.816,61.828,71.765 30 | 214.526,93.901,60.616,70.358 31 | 212.967,92.900,63.065,73.200 32 | 205.332,86.332,65.613,76.158 33 | 200.397,79.588,68.264,79.235 34 | 211.385,71.396,71.021,82.436 35 | 221.518,67.648,72.442,84.084 36 | 225.386,71.791,69.629,80.819 37 | 219.749,83.473,68.264,79.235 38 | 223.931,88.553,66.925,77.681 39 | 224.089,91.415,64.326,74.664 40 | 220.076,83.339,63.065,73.200 41 | 194.208,54.841,61.828,71.765 42 | 143.439,28.219,64.326,74.664 43 | 118.208,29.617,61.828,71.765 44 | 61.202,33.158,64.326,74.664 45 | 30.170,43.684,63.065,73.200 46 | 27.421,123.855,65.613,76.158 47 | 74.218,86.987,63.065,73.200 48 | 99.877,58.933,60.616,70.358 49 | 124.650,32.217,63.065,73.200 50 | 157.930,18.040,60.616,70.358 51 | 172.927,26.466,58.262,67.626 52 | 185.797,33.466,58.262,67.626 53 | 204.175,55.831,60.616,70.358 54 | 202.481,62.773,59.428,68.978 55 | 196.314,71.725,60.616,70.358 56 | 200.758,79.466,58.262,67.626 57 | 223.877,65.391,60.616,70.358 58 | 236.311,61.401,59.428,68.978 59 | 243.245,66.199,60.616,70.358 60 | 244.367,71.023,60.616,70.358 61 | 235.630,65.008,63.065,73.200 62 | 191.676,86.622,64.326,74.664 63 | 179.655,101.532,66.925,77.681 64 | 168.778,136.625,68.264,79.234 65 | 160.934,145.542,69.629,80.819 66 | 152.255,119.576,72.442,84.084 67 | 148.284,106.237,69.629,80.819 68 | 130.421,80.576,72.442,84.084 69 | 115.661,58.297,75.368,87.481 70 | 115.874,60.458,72.442,84.084 71 | 130.762,68.169,71.021,82.436 72 | 145.188,74.492,69.629,80.819 73 | 146.368,77.530,68.264,79.234 74 | 149.633,66.979,66.925,77.681 75 | 155.229,53.681,66.925,77.681 76 | 164.600,34.063,65.613,76.158 77 | 189.204,48.130,63.065,73.200 78 | 194.056,57.873,65.613,76.158 79 | 194.335,70.936,66.925,77.681 80 | 144.076,146.056,69.629,80.819 81 | 146.494,189.413,72.442,84.084 82 | 130.200,208.222,75.368,87.481 83 | 114.421,201.029,72.442,84.084 84 | 99.662,166.143,75.368,87.481 85 | 96.773,141.183,78.413,91.015 86 | 108.948,135.990,81.581,94.692 87 | 148.309,142.554,78.413,91.015 88 | 159.366,130.079,81.581,94.692 89 | 186.043,105.197,84.877,98.518 90 | 174.540,69.029,84.877,98.518 91 | 151.797,50.126,88.306,102.498 92 | 118.496,27.551,84.877,98.518 93 | 108.635,24.408,81.581,94.692 94 | 115.038,27.318,81.581,94.692 95 | 119.645,31.825,84.877,98.518 96 | 114.439,46.117,83.213,96.586 97 | 121.162,65.144,79.982,92.836 98 | 124.553,71.357,76.876,89.231 99 | 128.535,60.449,76.876,89.231 100 | 149.775,34.265,79.982,92.836 101 | 156.376,31.951,78.413,91.015 102 | 171.970,44.811,76.876,89.231 103 | 167.823,49.483,73.891,85.766 104 | 166.235,60.923,71.021,82.435 105 | 160.749,70.826,68.263,79.234 106 | 159.044,74.854,68.263,79.234 107 | 156.876,86.600,65.613,76.158 108 | 153.595,89.663,64.326,74.664 109 | 156.984,89.418,61.828,71.765 110 | 171.616,87.553,59.427,68.978 111 | 193.683,84.553,59.427,68.978 112 | 226.106,77.268,60.616,70.358 113 | 239.797,80.947,58.262,67.626 114 | -------------------------------------------------------------------------------- /trackers/results/OTB2015/SiamFC/DragonBaby.txt: -------------------------------------------------------------------------------- 1 | 160.000,83.000,56.000,65.000 2 | 166.665,81.572,56.000,65.000 3 | 174.281,79.192,56.000,65.000 4 | 174.757,78.716,56.000,65.000 5 | 178.090,76.811,56.000,65.000 6 | 181.898,72.527,56.000,65.000 7 | 185.231,64.434,56.000,65.000 8 | 174.357,49.985,54.806,63.614 9 | 168.300,51.383,54.806,63.614 10 | 159.476,54.546,56.018,65.021 11 | 149.964,65.190,57.258,66.460 12 | 146.300,71.020,58.525,67.930 13 | 143.072,75.430,59.819,69.433 14 | 141.355,78.883,61.143,70.970 15 | 140.316,90.838,61.143,70.970 16 | 144.993,96.035,61.143,70.970 17 | 157.799,98.486,62.496,72.540 18 | 180.808,92.723,63.878,74.145 19 | 182.919,93.029,65.292,75.785 20 | 177.014,87.584,66.736,77.462 21 | 174.510,84.961,68.213,79.176 22 | 169.871,83.801,68.213,79.176 23 | 162.912,82.062,68.213,79.176 24 | 155.954,80.322,68.213,79.176 25 | 129.280,84.381,68.213,79.176 26 | 149.575,86.701,68.213,79.176 27 | 165.812,82.642,68.213,79.176 28 | 183.208,80.902,68.213,79.176 29 | 187.847,79.162,68.213,79.176 30 | 197.704,87.281,68.213,79.176 31 | 194.225,89.600,68.213,79.176 32 | 198.283,85.115,69.722,80.927 33 | 199.972,79.300,71.265,82.718 34 | 209.665,72.030,71.265,82.718 35 | 215.723,67.789,71.265,82.718 36 | 218.146,71.424,71.265,82.718 37 | 213.906,82.329,71.265,82.718 38 | 219.358,87.175,71.265,82.718 39 | 216.329,91.416,71.265,82.718 40 | 212.088,88.387,71.265,82.718 41 | 188.461,62.943,71.265,82.718 42 | 124.192,26.202,72.841,84.548 43 | 101.281,27.440,72.841,84.548 44 | 46.790,29.298,72.841,84.548 45 | 15.210,40.444,72.841,84.548 46 | 28.832,73.881,72.841,84.548 47 | 62.889,91.219,72.841,84.548 48 | 85.800,59.020,72.841,84.548 49 | 107.466,36.645,71.288,82.745 50 | 148.675,27.555,71.288,82.745 51 | 165.790,27.853,69.768,80.981 52 | 176.466,32.598,69.768,80.981 53 | 199.003,55.728,69.768,80.981 54 | 199.596,65.218,69.768,80.981 55 | 194.258,71.149,69.768,80.981 56 | 190.429,77.157,68.280,79.254 57 | 215.388,63.807,68.280,79.254 58 | 228.157,60.905,68.280,79.254 59 | 235.703,63.807,68.280,79.254 60 | 239.766,69.031,68.280,79.254 61 | 233.591,68.756,69.791,81.007 62 | 190.281,80.622,69.791,81.007 63 | 177.823,96.640,69.791,81.007 64 | 167.737,135.797,69.791,81.007 65 | 162.397,147.663,69.791,81.007 66 | 160.282,127.368,68.302,79.280 67 | 155.637,113.433,68.302,79.280 68 | 142.863,86.724,68.302,79.280 69 | 119.638,62.918,68.302,79.280 70 | 114.993,56.532,68.302,79.280 71 | 129.509,65.822,68.302,79.280 72 | 144.605,72.789,68.302,79.280 73 | 147.508,76.854,68.302,79.280 74 | 151.594,64.267,66.846,77.589 75 | 154.436,52.903,66.846,77.589 76 | 167.505,40.401,66.846,77.589 77 | 181.712,58.585,66.846,77.589 78 | 191.372,71.086,66.846,77.589 79 | 195.349,77.337,66.846,77.589 80 | 223.448,56.256,65.420,75.934 81 | 212.889,58.674,64.025,74.315 82 | 219.420,37.992,64.025,74.315 83 | 250.443,30.916,64.025,74.315 84 | 239.014,32.549,64.025,74.315 85 | 252.076,32.549,64.025,74.315 86 | 281.087,44.358,62.660,72.730 87 | 306.912,49.754,61.324,71.179 88 | 318.118,51.518,60.016,69.661 89 | 330.872,80.088,60.016,69.661 90 | 344.647,97.945,60.016,69.661 91 | 352.300,71.925,60.016,69.661 92 | 316.587,86.721,60.016,69.661 93 | 310.465,98.965,60.016,69.661 94 | 291.588,144.372,60.016,69.661 95 | 304.522,132.821,58.736,68.176 96 | 317.661,151.355,57.483,66.722 97 | 314.729,161.128,57.483,66.722 98 | 310.037,158.362,58.755,68.198 99 | 295.552,161.359,58.755,68.198 100 | 287.561,159.860,58.755,68.198 101 | 284.064,154.366,58.755,68.198 102 | 261.132,222.014,60.055,69.707 103 | 259.090,222.525,60.055,69.707 104 | 258.425,224.931,61.384,71.249 105 | 262.078,229.106,61.384,71.249 106 | 260.513,232.759,61.384,71.249 107 | 262.541,234.677,62.742,72.826 108 | 259.633,234.978,64.130,74.437 109 | 261.186,238.114,65.549,76.084 110 | 261.743,245.358,65.549,76.084 111 | 263.972,247.587,65.549,76.084 112 | 267.873,243.129,65.549,76.084 113 | 271.216,237.557,65.549,76.084 114 | -------------------------------------------------------------------------------- /got10k/datasets/uav123.py: -------------------------------------------------------------------------------- 1 | from __future__ import absolute_import, print_function 2 | 3 | import os 4 | import glob 5 | import numpy as np 6 | import six 7 | import json 8 | 9 | 10 | class UAV123(object): 11 | """`UAV123 `_ Dataset. 12 | 13 | Publication: 14 | ``A Benchmark and Simulator for UAV Tracking``, 15 | M. Mueller, N. Smith and B. Ghanem, ECCV 2016. 16 | 17 | Args: 18 | root_dir (string): Root directory of dataset where sequence 19 | folders exist. 20 | version (integer or string): Specify the benchmark version, specify as one of 21 | ``UAV123`` and ``UAV20L``. 22 | """ 23 | def __init__(self, root_dir, version='UAV123'): 24 | super(UAV123, self).__init__() 25 | assert version.upper() in ['UAV20L', 'UAV123'] 26 | 27 | self.root_dir = root_dir 28 | self.version = version.upper() 29 | self._check_integrity(root_dir, version) 30 | 31 | # sequence meta information 32 | meta_file = os.path.join( 33 | os.path.dirname(__file__), 'uav123.json') 34 | with open(meta_file) as f: 35 | self.seq_metas = json.load(f) 36 | 37 | # sequence and annotation paths 38 | self.anno_files = sorted(glob.glob( 39 | os.path.join(root_dir, 'anno/%s/*.txt' % version))) 40 | self.seq_names = [ 41 | os.path.basename(f)[:-4] for f in self.anno_files] 42 | self.seq_dirs = [os.path.join( 43 | root_dir, 'data_seq/UAV123/%s' % \ 44 | self.seq_metas[version][n]['folder_name']) 45 | for n in self.seq_names] 46 | 47 | def __getitem__(self, index): 48 | r""" 49 | Args: 50 | index (integer or string): Index or name of a sequence. 51 | 52 | Returns: 53 | tuple: (img_files, anno), where ``img_files`` is a list of 54 | file names and ``anno`` is a N x 4 (rectangles) numpy array. 55 | """ 56 | if isinstance(index, six.string_types): 57 | if not index in self.seq_names: 58 | raise Exception('Sequence {} not found.'.format(index)) 59 | index = self.seq_names.index(index) 60 | 61 | # valid frame range 62 | start_frame = self.seq_metas[self.version][ 63 | self.seq_names[index]]['start_frame'] 64 | end_frame = self.seq_metas[self.version][ 65 | self.seq_names[index]]['end_frame'] 66 | img_files = [os.path.join( 67 | self.seq_dirs[index], '%06d.jpg' % f) 68 | for f in range(start_frame, end_frame + 1)] 69 | 70 | # load annotations 71 | anno = np.loadtxt(self.anno_files[index], delimiter=',') 72 | assert len(img_files) == len(anno) 73 | assert anno.shape[1] == 4 74 | 75 | return img_files, anno 76 | 77 | def __len__(self): 78 | return len(self.seq_names) 79 | 80 | def _check_integrity(self, root_dir, version): 81 | # sequence meta information 82 | meta_file = os.path.join( 83 | os.path.dirname(__file__), 'uav123.json') 84 | with open(meta_file) as f: 85 | seq_metas = json.load(f) 86 | seq_names = list(seq_metas[version].keys()) 87 | 88 | if os.path.isdir(root_dir) and len(os.listdir(root_dir)) > 3: 89 | # check each sequence folder 90 | for seq_name in seq_names: 91 | seq_dir = os.path.join( 92 | root_dir, 'data_seq/UAV123/%s' % \ 93 | seq_metas[version][seq_name]['folder_name']) 94 | if not os.path.isdir(seq_dir): 95 | print('Warning: sequence %s not exists.' % seq_name) 96 | else: 97 | # dataset not exists 98 | raise Exception('Dataset not found or corrupted.') 99 | -------------------------------------------------------------------------------- /trackers/results/OTB2015/MDNet/Dancer2.txt: -------------------------------------------------------------------------------- 1 | 150.0,53.0,40.0,148.0 2 | 148.0,55.0,40.0,148.0 3 | 146.0,55.0,40.0,148.0 4 | 145.0,57.0,39.0,147.0 5 | 142.0,58.0,41.0,147.0 6 | 140.0,60.0,41.0,146.0 7 | 136.0,61.0,43.0,146.0 8 | 133.0,64.0,44.0,141.0 9 | 131.0,65.0,46.0,142.0 10 | 130.0,67.0,44.0,138.0 11 | 129.0,69.0,45.0,137.0 12 | 128.0,69.0,44.0,136.0 13 | 128.0,71.0,42.0,135.0 14 | 127.0,68.0,42.0,139.0 15 | 126.0,66.0,42.0,142.0 16 | 126.0,68.0,41.0,136.0 17 | 127.0,63.0,41.0,140.0 18 | 126.0,61.0,41.0,142.0 19 | 125.0,59.0,40.0,142.0 20 | 124.0,58.0,41.0,142.0 21 | 123.0,59.0,41.0,144.0 22 | 124.0,63.0,39.0,142.0 23 | 124.0,65.0,39.0,148.0 24 | 123.0,64.0,40.0,148.0 25 | 123.0,68.0,39.0,148.0 26 | 123.0,67.0,40.0,149.0 27 | 125.0,73.0,39.0,150.0 28 | 125.0,75.0,40.0,147.0 29 | 126.0,73.0,40.0,150.0 30 | 127.0,69.0,40.0,152.0 31 | 128.0,71.0,40.0,145.0 32 | 128.0,73.0,41.0,145.0 33 | 128.0,71.0,43.0,150.0 34 | 130.0,68.0,42.0,151.0 35 | 132.0,63.0,41.0,159.0 36 | 133.0,62.0,42.0,161.0 37 | 136.0,61.0,40.0,165.0 38 | 138.0,57.0,39.0,165.0 39 | 142.0,53.0,37.0,164.0 40 | 143.0,56.0,37.0,163.0 41 | 145.0,59.0,37.0,162.0 42 | 145.0,63.0,37.0,158.0 43 | 148.0,64.0,37.0,159.0 44 | 149.0,67.0,38.0,157.0 45 | 150.0,75.0,38.0,154.0 46 | 152.0,77.0,38.0,153.0 47 | 154.0,77.0,38.0,151.0 48 | 157.0,75.0,37.0,150.0 49 | 159.0,72.0,40.0,149.0 50 | 161.0,71.0,41.0,149.0 51 | 163.0,81.0,41.0,144.0 52 | 165.0,76.0,42.0,144.0 53 | 166.0,77.0,43.0,144.0 54 | 168.0,75.0,42.0,143.0 55 | 169.0,75.0,41.0,143.0 56 | 170.0,70.0,41.0,147.0 57 | 171.0,70.0,40.0,146.0 58 | 172.0,69.0,39.0,144.0 59 | 172.0,67.0,40.0,143.0 60 | 172.0,65.0,41.0,142.0 61 | 173.0,65.0,41.0,145.0 62 | 172.0,70.0,40.0,145.0 63 | 173.0,67.0,41.0,142.0 64 | 173.0,67.0,41.0,143.0 65 | 173.0,69.0,41.0,142.0 66 | 172.0,71.0,42.0,140.0 67 | 173.0,71.0,43.0,137.0 68 | 172.0,75.0,43.0,136.0 69 | 173.0,75.0,42.0,133.0 70 | 172.0,77.0,42.0,132.0 71 | 170.0,74.0,44.0,132.0 72 | 169.0,73.0,45.0,133.0 73 | 167.0,70.0,45.0,134.0 74 | 166.0,65.0,44.0,137.0 75 | 164.0,62.0,45.0,139.0 76 | 162.0,58.0,44.0,145.0 77 | 160.0,57.0,44.0,147.0 78 | 158.0,55.0,44.0,151.0 79 | 158.0,53.0,41.0,151.0 80 | 156.0,53.0,41.0,149.0 81 | 154.0,54.0,41.0,153.0 82 | 151.0,56.0,43.0,149.0 83 | 149.0,57.0,42.0,148.0 84 | 145.0,57.0,44.0,151.0 85 | 141.0,59.0,46.0,149.0 86 | 138.0,59.0,48.0,151.0 87 | 135.0,59.0,49.0,151.0 88 | 134.0,60.0,48.0,153.0 89 | 133.0,63.0,47.0,149.0 90 | 131.0,65.0,46.0,146.0 91 | 132.0,64.0,43.0,144.0 92 | 130.0,66.0,44.0,142.0 93 | 130.0,64.0,45.0,146.0 94 | 131.0,65.0,42.0,142.0 95 | 129.0,62.0,42.0,145.0 96 | 130.0,60.0,40.0,148.0 97 | 129.0,60.0,41.0,148.0 98 | 127.0,58.0,42.0,152.0 99 | 126.0,58.0,41.0,153.0 100 | 126.0,60.0,40.0,151.0 101 | 123.0,62.0,43.0,155.0 102 | 126.0,61.0,40.0,153.0 103 | 124.0,66.0,41.0,153.0 104 | 126.0,64.0,40.0,154.0 105 | 127.0,62.0,40.0,155.0 106 | 127.0,64.0,41.0,155.0 107 | 127.0,63.0,43.0,155.0 108 | 128.0,65.0,42.0,153.0 109 | 129.0,69.0,43.0,153.0 110 | 128.0,68.0,44.0,156.0 111 | 130.0,68.0,43.0,155.0 112 | 132.0,61.0,43.0,158.0 113 | 133.0,59.0,43.0,161.0 114 | 135.0,58.0,43.0,161.0 115 | 137.0,57.0,43.0,160.0 116 | 139.0,59.0,44.0,153.0 117 | 140.0,58.0,45.0,155.0 118 | 140.0,61.0,45.0,156.0 119 | 140.0,65.0,43.0,157.0 120 | 142.0,65.0,44.0,159.0 121 | 142.0,72.0,43.0,157.0 122 | 145.0,73.0,43.0,154.0 123 | 145.0,76.0,42.0,151.0 124 | 145.0,78.0,42.0,151.0 125 | 148.0,83.0,43.0,148.0 126 | 148.0,84.0,42.0,148.0 127 | 147.0,86.0,43.0,146.0 128 | 149.0,85.0,45.0,149.0 129 | 150.0,90.0,44.0,147.0 130 | 152.0,82.0,45.0,143.0 131 | 153.0,78.0,45.0,143.0 132 | 153.0,79.0,44.0,144.0 133 | 153.0,81.0,47.0,152.0 134 | 153.0,82.0,48.0,149.0 135 | 156.0,78.0,47.0,148.0 136 | 160.0,73.0,45.0,148.0 137 | 160.0,70.0,45.0,149.0 138 | 163.0,71.0,43.0,147.0 139 | 164.0,67.0,42.0,149.0 140 | 166.0,66.0,42.0,149.0 141 | 167.0,62.0,39.0,152.0 142 | 167.0,61.0,40.0,151.0 143 | 167.0,56.0,39.0,155.0 144 | 167.0,56.0,40.0,154.0 145 | 166.0,55.0,41.0,157.0 146 | 165.0,58.0,42.0,154.0 147 | 164.0,56.0,44.0,156.0 148 | 165.0,56.0,43.0,150.0 149 | 164.0,55.0,44.0,151.0 150 | 163.0,57.0,44.0,152.0 151 | -------------------------------------------------------------------------------- /trackers/results/OTB2015/SiamFC/Crossing.txt: -------------------------------------------------------------------------------- 1 | 205.000,151.000,17.000,50.000 2 | 203.210,149.210,17.000,50.000 3 | 202.188,148.443,17.000,50.000 4 | 200.910,148.443,17.000,50.000 5 | 200.398,147.932,17.000,50.000 6 | 199.120,147.421,17.000,50.000 7 | 197.586,147.676,17.000,50.000 8 | 195.285,146.143,17.000,50.000 9 | 193.751,145.631,17.000,50.000 10 | 193.751,144.864,17.000,50.000 11 | 190.939,143.842,17.000,50.000 12 | 190.172,143.330,17.000,50.000 13 | 187.615,143.075,17.000,50.000 14 | 187.615,142.563,17.000,50.000 15 | 185.315,141.541,17.000,50.000 16 | 183.269,141.029,17.000,50.000 17 | 183.269,141.541,17.000,50.000 18 | 181.991,140.518,17.000,50.000 19 | 182.502,139.751,17.000,50.000 20 | 180.713,140.262,17.000,50.000 21 | 179.690,138.984,17.000,50.000 22 | 178.667,137.962,17.000,50.000 23 | 178.156,137.450,17.000,50.000 24 | 176.622,137.706,17.000,50.000 25 | 176.111,136.939,17.000,50.000 26 | 174.814,137.718,16.637,48.934 27 | 174.268,137.517,16.283,47.890 28 | 173.969,138.027,15.935,46.869 29 | 173.011,137.548,15.935,46.869 30 | 171.573,135.391,15.935,46.869 31 | 168.937,133.714,15.935,46.869 32 | 168.457,133.474,15.935,46.869 33 | 167.499,132.036,15.935,46.869 34 | 167.019,130.598,15.935,46.869 35 | 165.821,129.161,15.935,46.869 36 | 164.402,123.669,16.288,47.906 37 | 165.137,122.200,16.288,47.906 38 | 164.892,125.874,16.288,47.906 39 | 163.422,127.833,16.288,47.906 40 | 162.442,127.099,16.288,47.906 41 | 163.912,125.629,16.288,47.906 42 | 162.442,124.159,16.288,47.906 43 | 160.483,122.200,16.288,47.906 44 | 160.973,120.485,16.288,47.906 45 | 161.462,119.260,16.288,47.906 46 | 161.462,121.220,16.288,47.906 47 | 159.983,123.383,15.941,46.884 48 | 158.545,121.945,15.941,46.884 49 | 156.867,121.705,15.941,46.884 50 | 155.668,122.424,15.941,46.884 51 | 153.511,120.986,15.941,46.884 52 | 152.552,121.465,15.941,46.884 53 | 150.155,118.589,15.941,46.884 54 | 149.436,117.150,15.941,46.884 55 | 149.196,116.431,15.941,46.884 56 | 148.716,117.390,15.941,46.884 57 | 146.799,117.870,15.941,46.884 58 | 145.600,117.870,15.941,46.884 59 | 144.641,118.349,15.941,46.884 60 | 142.484,117.150,15.941,46.884 61 | 141.525,117.150,15.941,46.884 62 | 139.607,114.993,15.941,46.884 63 | 137.210,115.233,15.941,46.884 64 | 136.251,114.274,15.941,46.884 65 | 135.052,114.753,15.941,46.884 66 | 134.093,114.993,15.941,46.884 67 | 132.415,115.472,15.941,46.884 68 | 131.456,114.753,15.941,46.884 69 | 129.778,113.315,15.941,46.884 70 | 127.381,111.397,15.941,46.884 71 | 125.463,109.719,15.941,46.884 72 | 124.504,109.240,15.941,46.884 73 | 123.545,107.561,15.941,46.884 74 | 121.628,107.082,15.941,46.884 75 | 120.189,106.363,15.941,46.884 76 | 120.189,106.363,15.941,46.884 77 | 117.792,105.164,15.941,46.884 78 | 116.354,104.205,15.941,46.884 79 | 115.137,103.781,15.601,45.884 80 | 114.625,104.949,15.268,44.906 81 | 113.247,103.801,15.268,44.906 82 | 111.870,102.882,15.268,44.906 83 | 110.492,102.193,15.268,44.906 84 | 108.885,101.504,15.268,44.906 85 | 107.507,102.882,15.268,44.906 86 | 105.900,101.275,15.268,44.906 87 | 104.063,101.964,15.268,44.906 88 | 102.234,101.115,14.942,43.948 89 | 100.877,102.233,14.624,43.011 90 | 99.338,100.254,14.624,43.011 91 | 97.578,99.154,14.624,43.011 92 | 96.675,99.189,14.312,42.094 93 | 94.737,99.189,14.312,42.094 94 | 93.016,99.404,14.312,42.094 95 | 91.724,99.619,14.312,42.094 96 | 90.433,98.974,14.312,42.094 97 | 87.850,98.974,14.312,42.094 98 | 86.758,99.008,14.007,41.196 99 | 85.080,97.417,13.708,40.318 100 | 84.874,98.035,13.708,40.318 101 | 83.225,97.210,13.708,40.318 102 | 81.576,96.798,13.708,40.318 103 | 80.339,97.417,13.708,40.318 104 | 79.102,96.592,13.708,40.318 105 | 78.483,97.417,13.708,40.318 106 | 76.628,96.180,13.708,40.318 107 | 72.999,95.417,13.416,39.458 108 | 71.587,94.207,13.416,39.458 109 | 70.563,93.850,13.130,38.616 110 | 68.786,92.665,13.130,38.616 111 | 67.404,93.850,13.130,38.616 112 | 67.009,93.257,13.130,38.616 113 | 64.837,93.850,13.130,38.616 114 | 63.645,93.691,12.850,37.793 115 | 61.906,94.077,12.850,37.793 116 | 61.111,93.921,12.576,36.987 117 | 60.166,93.165,12.576,36.987 118 | 58.842,92.219,12.576,36.987 119 | 57.700,92.796,12.307,36.198 120 | 56.404,92.055,12.307,36.198 121 | -------------------------------------------------------------------------------- /trackers/results/OTB2015/ECO/Crossing.txt: -------------------------------------------------------------------------------- 1 | 205.000,151.000,17.000,50.000 2 | 204.700,151.210,16.340,48.058 3 | 202.237,150.347,16.667,49.020 4 | 201.872,149.706,16.019,47.116 5 | 201.041,150.404,15.705,46.192 6 | 200.207,149.668,15.397,45.287 7 | 198.958,151.307,14.800,43.528 8 | 196.425,149.668,15.397,45.287 9 | 195.872,148.942,16.019,47.116 10 | 193.439,147.210,16.340,48.058 11 | 191.018,146.706,16.019,47.116 12 | 190.872,146.324,16.019,47.116 13 | 188.223,143.980,15.705,46.192 14 | 188.961,144.732,16.340,48.058 15 | 187.018,143.706,16.019,47.116 16 | 184.594,142.990,16.667,49.020 17 | 183.872,142.706,16.019,47.116 18 | 182.700,142.471,16.340,48.058 19 | 182.330,141.210,16.340,48.058 20 | 181.700,141.471,16.340,48.058 21 | 179.829,139.374,15.705,46.192 22 | 179.041,139.404,15.705,46.192 23 | 178.041,137.586,15.705,46.192 24 | 177.961,137.101,16.340,48.058 25 | 177.435,138.404,15.705,46.192 26 | 177.370,138.718,15.096,44.399 27 | 175.787,138.301,15.096,44.399 28 | 175.529,138.736,14.800,43.528 29 | 173.019,136.668,15.397,45.287 30 | 171.254,135.942,16.019,47.116 31 | 170.613,134.480,15.397,45.287 32 | 170.207,134.857,15.397,45.287 33 | 167.829,131.980,15.705,46.192 34 | 167.647,132.404,15.705,46.192 35 | 167.330,130.210,16.340,48.058 36 | 165.237,129.990,16.667,49.020 37 | 165.000,128.188,17.000,50.000 38 | 164.524,128.990,16.667,49.020 39 | 164.167,127.061,16.667,49.020 40 | 163.344,125.844,17.000,50.000 41 | 162.657,122.443,17.687,52.020 42 | 163.009,120.729,18.401,54.122 43 | 162.974,120.125,17.687,52.020 44 | 162.344,122.812,17.000,50.000 45 | 162.000,121.188,17.000,50.000 46 | 160.880,123.276,16.667,49.020 47 | 160.830,122.000,17.340,51.000 48 | 158.391,121.666,18.041,53.060 49 | 156.879,121.439,18.401,54.122 50 | 156.292,120.443,17.687,52.020 51 | 155.087,120.666,18.041,53.060 52 | 153.823,120.662,17.340,51.000 53 | 152.237,118.132,16.667,49.020 54 | 150.636,117.706,16.019,47.116 55 | 149.435,118.404,15.705,46.192 56 | 150.535,118.718,15.096,44.399 57 | 149.006,119.163,14.509,42.674 58 | 147.566,119.723,14.509,42.674 59 | 145.787,119.883,15.096,44.399 60 | 144.958,120.736,14.800,43.528 61 | 142.446,118.923,14.509,42.674 62 | 139.643,118.483,14.225,41.838 63 | 138.126,117.043,14.509,42.674 64 | 138.245,117.163,14.509,42.674 65 | 136.375,116.915,13.946,41.017 66 | 136.664,117.921,13.672,40.213 67 | 133.694,118.270,13.404,39.425 68 | 134.555,118.553,12.884,37.894 69 | 130.485,118.333,12.384,36.422 70 | 128.567,116.062,12.884,37.894 71 | 128.064,115.559,12.884,37.894 72 | 126.397,114.377,12.384,36.422 73 | 124.567,112.559,12.884,37.894 74 | 125.058,112.056,12.884,37.894 75 | 121.694,111.788,13.404,39.425 76 | 123.052,111.559,12.884,37.894 77 | 119.694,109.236,13.404,39.425 78 | 119.422,109.681,13.142,38.652 79 | 117.235,110.437,12.631,37.151 80 | 116.422,109.160,13.142,38.652 81 | 115.064,108.559,12.884,37.894 82 | 113.246,105.719,13.404,39.425 83 | 112.136,106.449,13.672,40.213 84 | 110.915,106.160,13.142,38.652 85 | 109.246,106.822,13.404,39.425 86 | 106.901,106.160,13.142,38.652 87 | 106.929,106.681,13.142,38.652 88 | 103.887,106.667,13.142,38.652 89 | 103.929,105.160,13.142,38.652 90 | 100.887,104.667,13.142,38.652 91 | 100.064,103.062,12.884,37.894 92 | 98.567,103.553,12.884,37.894 93 | 96.572,102.062,12.884,37.894 94 | 94.747,102.925,12.631,37.151 95 | 94.064,102.056,12.884,37.894 96 | 92.397,103.289,12.384,36.422 97 | 88.874,102.159,11.903,35.008 98 | 88.308,101.767,12.384,36.422 99 | 85.572,99.559,12.884,37.894 100 | 86.308,99.333,12.384,36.422 101 | 84.087,99.646,12.141,35.708 102 | 83.353,99.289,12.384,36.422 103 | 81.252,99.537,11.903,35.008 104 | 80.171,100.455,11.903,35.008 105 | 79.765,100.339,11.669,34.322 106 | 76.793,99.996,11.903,35.008 107 | 74.711,99.077,11.903,35.008 108 | 73.353,97.811,12.384,36.422 109 | 71.252,97.618,11.903,35.008 110 | 70.353,96.333,12.384,36.422 111 | 68.722,95.437,12.631,37.151 112 | 68.210,96.412,12.631,37.151 113 | 65.619,96.177,12.141,35.708 114 | 64.697,96.412,12.631,37.151 115 | 64.210,94.950,12.631,37.151 116 | 62.087,94.709,12.141,35.708 117 | 61.353,93.333,12.384,36.422 118 | 58.919,93.289,12.384,36.422 119 | 59.430,93.177,12.141,35.708 120 | 57.252,93.996,11.903,35.008 121 | -------------------------------------------------------------------------------- /trackers/results/OTB2015/SiamFC/Jump.txt: -------------------------------------------------------------------------------- 1 | 136.000,35.000,52.000,182.000 2 | 131.575,30.575,52.000,182.000 3 | 133.345,29.690,52.000,182.000 4 | 128.035,34.115,52.000,182.000 5 | 124.495,39.425,52.000,182.000 6 | 118.300,47.390,52.000,182.000 7 | 111.220,43.850,52.000,182.000 8 | 115.645,51.815,52.000,182.000 9 | 134.966,63.992,50.891,178.119 10 | 140.163,66.590,50.891,178.119 11 | 139.036,68.489,49.806,174.320 12 | 143.652,71.982,48.744,170.603 13 | 138.574,76.200,47.704,166.965 14 | 142.996,79.546,46.687,163.404 15 | 140.612,81.929,46.687,163.404 16 | 143.407,85.969,45.691,159.920 17 | 142.395,96.669,44.717,156.509 18 | 141.405,104.206,43.763,153.172 19 | 141.154,106.557,42.830,149.905 20 | 142.612,108.015,42.830,149.905 21 | 144.474,110.316,41.917,146.708 22 | 146.983,112.568,41.023,143.580 23 | 164.244,34.018,40.148,140.518 24 | 167.965,32.882,39.292,137.521 25 | 165.959,32.213,39.292,137.521 26 | 164.622,28.870,39.292,137.521 27 | 165.959,30.876,39.292,137.521 28 | 167.023,39.432,38.454,134.589 29 | 166.368,36.160,38.454,134.589 30 | 165.714,24.380,38.454,134.589 31 | 164.862,13.199,37.634,131.719 32 | 169.585,9.047,36.831,128.910 33 | 175.227,2.152,36.831,128.910 34 | 176.480,-0.982,36.831,128.910 35 | 175.060,1.601,36.046,126.161 36 | 171.897,5.902,35.277,123.470 37 | 173.430,6.640,34.525,120.837 38 | 167.555,8.403,34.525,120.837 39 | 169.622,11.390,33.789,118.260 40 | 172.497,9.665,33.789,118.260 41 | 177.098,12.540,33.789,118.260 42 | 179.398,13.116,33.789,118.260 43 | 181.698,12.540,33.789,118.260 44 | 186.874,17.141,33.789,118.260 45 | 191.474,20.016,33.789,118.260 46 | 188.024,22.892,33.789,118.260 47 | 189.174,24.042,33.789,118.260 48 | 188.599,28.067,33.789,118.260 49 | 189.418,29.742,34.536,120.877 50 | 188.830,32.681,34.536,120.877 51 | 188.830,31.505,34.536,120.877 52 | 188.830,35.620,34.536,120.877 53 | 188.243,36.208,34.536,120.877 54 | 186.479,38.559,34.536,120.877 55 | 189.418,43.261,34.536,120.877 56 | 190.353,49.649,33.800,118.299 57 | 192.366,60.276,34.548,120.916 58 | 188.250,64.980,34.548,120.916 59 | 185.899,71.448,34.548,120.916 60 | 187.075,77.328,34.548,120.916 61 | 184.723,83.207,34.548,120.916 62 | 181.783,87.323,34.548,120.916 63 | 184.135,90.851,34.548,120.916 64 | 179.403,96.674,33.811,118.338 65 | 181.417,98.350,34.559,120.956 66 | 185.186,106.443,33.822,118.377 67 | 187.489,111.623,33.822,118.377 68 | 181.143,127.633,34.570,120.996 69 | 179.810,132.893,33.833,118.415 70 | 176.355,132.893,33.833,118.415 71 | 179.234,133.468,33.833,118.415 72 | 186.029,129.769,34.582,121.035 73 | 196.034,132.123,34.582,121.035 74 | 197.800,127.415,34.582,121.035 75 | 278.630,124.244,35.347,123.713 76 | 278.864,119.130,36.129,126.450 77 | 282.212,116.330,35.358,123.754 78 | 283.694,112.464,36.141,126.492 79 | 287.384,108.773,36.141,126.492 80 | 292.920,106.928,36.141,126.492 81 | 302.146,103.237,36.141,126.492 82 | 305.222,101.392,36.141,126.492 83 | 308.013,97.440,36.940,129.291 84 | 323.730,81.723,36.940,129.291 85 | 329.578,77.648,36.152,126.533 86 | 334.115,75.439,35.381,123.835 87 | 337.728,76.041,35.381,123.835 88 | 337.126,74.234,35.381,123.835 89 | 340.739,73.632,35.381,123.835 90 | 344.018,74.372,34.627,121.194 91 | 346.375,75.551,34.627,121.194 92 | 352.425,76.843,33.888,118.610 93 | 357.789,76.440,33.166,116.080 94 | 365.692,75.311,33.166,116.080 95 | 371.336,74.747,33.166,116.080 96 | 375.069,72.291,33.900,118.649 97 | 376.223,71.714,33.900,118.649 98 | 375.646,72.868,33.900,118.649 99 | 362.661,80.250,33.177,116.118 100 | 364.919,80.250,33.177,116.118 101 | 366.049,81.944,33.177,116.118 102 | 370.001,83.073,33.177,116.118 103 | 374.321,82.960,33.911,118.687 104 | 371.901,85.895,33.188,116.156 105 | 374.977,88.222,32.480,113.679 106 | 374.790,89.967,31.787,111.255 107 | 373.044,91.675,31.109,108.883 108 | 371.334,93.856,30.446,106.561 109 | 374.961,93.338,30.446,106.561 110 | 378.282,94.974,29.797,104.288 111 | 378.111,96.086,29.161,102.064 112 | 380.336,97.653,28.539,99.888 113 | 381.793,98.624,28.539,99.888 114 | 381.793,99.110,28.539,99.888 115 | 383.970,101.111,27.931,97.758 116 | 383.809,103.528,27.335,95.673 117 | 383.809,103.993,27.335,95.673 118 | 384.275,104.458,27.335,95.673 119 | 386.136,104.458,27.335,95.673 120 | 381.489,103.883,27.940,97.790 121 | 384.537,104.467,27.344,95.704 122 | 386.174,105.039,26.761,93.663 123 | -------------------------------------------------------------------------------- /trackers/results/OTB2015/SiamFC/Human8.txt: -------------------------------------------------------------------------------- 1 | 110.000,101.000,30.000,91.000 2 | 111.383,102.844,30.000,91.000 3 | 111.844,102.383,30.000,91.000 4 | 112.766,102.844,30.000,91.000 5 | 113.688,101.922,30.000,91.000 6 | 111.443,103.785,30.664,93.013 7 | 112.570,104.223,31.342,95.071 8 | 110.225,103.171,32.036,97.175 9 | 105.794,105.140,32.036,97.175 10 | 106.779,103.171,32.036,97.175 11 | 108.748,102.679,32.036,97.175 12 | 110.717,102.186,32.036,97.175 13 | 104.318,103.663,32.036,97.175 14 | 105.302,102.186,32.036,97.175 15 | 106.480,99.068,32.744,99.325 16 | 102.958,98.565,32.744,99.325 17 | 103.964,98.062,32.744,99.325 18 | 96.920,101.584,32.744,99.325 19 | 94.907,99.068,32.744,99.325 20 | 92.391,99.572,32.744,99.325 21 | 97.926,98.062,32.744,99.325 22 | 97.423,98.565,32.744,99.325 23 | 98.429,95.546,32.744,99.325 24 | 99.436,97.056,32.744,99.325 25 | 99.939,99.068,32.744,99.325 26 | 97.926,98.565,32.744,99.325 27 | 98.932,98.062,32.744,99.325 28 | 97.423,99.572,32.744,99.325 29 | 95.410,98.062,32.744,99.325 30 | 92.894,99.572,32.744,99.325 31 | 92.391,98.565,32.744,99.325 32 | 90.882,98.062,32.744,99.325 33 | 90.379,98.062,32.744,99.325 34 | 91.385,98.062,32.744,99.325 35 | 92.894,96.553,32.744,99.325 36 | 91.304,96.642,32.046,97.207 37 | 89.334,95.164,32.046,97.207 38 | 86.872,96.149,32.046,97.207 39 | 83.917,95.164,32.046,97.207 40 | 82.932,96.149,32.046,97.207 41 | 82.932,96.642,32.046,97.207 42 | 83.425,98.119,32.046,97.207 43 | 81.455,99.104,32.046,97.207 44 | 79.485,100.581,32.046,97.207 45 | 78.008,99.596,32.046,97.207 46 | 77.515,101.074,32.046,97.207 47 | 77.515,100.581,32.046,97.207 48 | 76.530,100.089,32.046,97.207 49 | 78.008,100.581,32.046,97.207 50 | 77.023,98.611,32.046,97.207 51 | 78.993,99.596,32.046,97.207 52 | 80.470,101.566,32.046,97.207 53 | 82.440,102.551,32.046,97.207 54 | 80.470,99.596,32.046,97.207 55 | 81.455,98.119,32.046,97.207 56 | 79.485,98.119,32.046,97.207 57 | 79.485,98.611,32.046,97.207 58 | 78.500,97.627,32.046,97.207 59 | 78.993,99.104,32.046,97.207 60 | 77.023,97.627,32.046,97.207 61 | 77.023,98.119,32.046,97.207 62 | 77.515,98.611,32.046,97.207 63 | 78.008,98.611,32.046,97.207 64 | 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65.525,94.353,30.714,93.166 124 | 69.301,95.769,30.714,93.166 125 | 67.413,94.825,30.714,93.166 126 | 70.245,95.297,30.714,93.166 127 | 72.133,96.240,30.714,93.166 128 | 74.280,97.234,30.059,91.179 129 | -------------------------------------------------------------------------------- /trackers/results/OTB2015/ECO/Jump.txt: -------------------------------------------------------------------------------- 1 | 136.000,35.000,52.000,182.000 2 | 131.247,33.749,52.000,182.000 3 | 130.293,31.851,50.980,178.431 4 | 127.194,26.894,53.040,185.640 5 | 122.192,19.214,55.183,193.140 6 | 121.357,15.103,56.286,197.003 7 | 116.276,11.019,58.560,204.961 8 | 111.611,6.958,59.732,209.061 9 | 112.220,14.935,58.560,204.961 10 | 119.043,17.103,56.286,197.003 11 | 121.767,18.930,55.183,193.140 12 | 122.980,26.252,53.040,185.640 13 | 124.010,33.718,50.980,178.431 14 | 126.552,31.466,53.040,185.640 15 | 136.594,37.001,50.980,178.431 16 | 141.753,35.500,52.000,182.000 17 | 145.876,37.351,49.981,174.933 18 | 146.727,33.568,50.980,178.431 19 | 144.194,27.894,53.040,185.640 20 | 140.998,29.500,52.000,182.000 21 | 144.002,31.251,52.000,182.000 22 | 148.002,35.002,52.000,182.000 23 | 147.980,33.680,53.040,185.640 24 | 149.010,37.284,50.980,178.431 25 | 149.010,39.001,50.980,178.431 26 | 150.251,37.500,52.000,182.000 27 | 153.193,37.667,49.981,174.933 28 | 154.251,34.500,52.000,182.000 29 | 150.998,9.985,52.000,182.000 30 | 152.251,5.998,52.000,182.000 31 | 156.876,3.984,49.981,174.933 32 | 156.010,2.284,50.980,178.431 33 | 153.194,-1.320,53.040,185.640 34 | 152.980,-3.106,53.040,185.640 35 | 154.010,-3.149,50.980,178.431 36 | 130.736,51.535,52.000,182.000 37 | 133.552,53.252,53.040,185.640 38 | 138.915,57.289,54.101,189.353 39 | 137.749,58.749,52.000,182.000 40 | 158.513,53.247,52.000,182.000 41 | 157.450,53.467,54.101,189.353 42 | 154.461,57.581,56.286,197.002 43 | 132.609,56.214,55.183,193.140 44 | 134.252,53.999,56.286,197.002 45 | 131.192,55.930,55.183,193.140 46 | 153.102,53.999,56.286,197.002 47 | 153.357,53.999,56.286,197.002 48 | 152.050,57.788,55.183,193.140 49 | 149.461,55.999,56.286,197.002 50 | 148.628,59.824,54.101,189.353 51 | 147.357,57.894,56.286,197.002 52 | 144.248,52.047,58.560,204.961 53 | 143.634,47.958,59.732,209.061 54 | 143.634,49.981,59.732,209.061 55 | 145.646,47.958,59.732,209.061 56 | 146.220,51.991,58.560,204.961 57 | 141.611,49.970,59.732,209.061 58 | 167.633,33.190,62.145,217.507 59 | 167.428,39.025,62.145,217.507 60 | 170.646,44.981,59.732,209.061 61 | 165.304,52.935,58.560,204.961 62 | 164.461,58.894,56.286,197.002 63 | 165.727,57.029,57.412,200.943 64 | 141.556,51.075,58.560,204.961 65 | 142.089,40.724,60.926,213.242 66 | 142.634,44.981,59.732,209.061 67 | 139.985,38.776,60.926,213.242 68 | 140.634,42.981,59.732,209.061 69 | 140.037,36.776,60.926,213.242 70 | 136.672,26.168,63.388,221.857 71 | 137.428,26.654,62.145,217.507 72 | 138.350,17.999,64.655,226.294 73 | 135.995,13.999,64.655,226.294 74 | 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102 | 147.729,-39.842,66.857,234.000 103 | 145.729,-37.158,66.857,234.000 104 | 148.414,-37.500,66.857,234.000 105 | 148.071,-37.500,66.857,234.000 106 | 148.071,-37.500,66.857,234.000 107 | 150.414,-35.158,66.857,234.000 108 | 152.414,-33.158,66.857,234.000 109 | 149.775,-35.796,66.857,234.000 110 | 147.729,-35.500,66.857,234.000 111 | 201.701,-30.999,65.546,229.412 112 | 154.762,-26.793,64.261,224.913 113 | 148.569,-31.500,66.857,234.000 114 | 150.414,-33.842,66.857,234.000 115 | 150.071,-33.500,66.857,234.000 116 | 150.071,-33.500,66.857,234.000 117 | 150.071,-33.500,66.857,234.000 118 | 150.071,-33.500,66.857,234.000 119 | 150.071,-33.500,66.857,234.000 120 | 147.729,-31.158,66.857,234.000 121 | 148.071,-31.500,66.857,234.000 122 | 150.368,-29.204,66.857,234.000 123 | -------------------------------------------------------------------------------- /trackers/results/OTB2015/SiamFC/Dog.txt: -------------------------------------------------------------------------------- 1 | 74.000,86.000,56.000,48.000 2 | 74.818,87.637,56.000,48.000 3 | 74.409,88.455,56.000,48.000 4 | 74.000,87.637,56.000,48.000 5 | 73.591,86.409,56.000,48.000 6 | 75.227,83.954,56.000,48.000 7 | 69.909,87.227,56.000,48.000 8 | 67.045,89.682,56.000,48.000 9 | 66.635,90.091,56.000,48.000 10 | 67.045,90.501,56.000,48.000 11 | 65.817,92.955,56.000,48.000 12 | 67.863,95.001,56.000,48.000 13 | 66.226,93.774,56.000,48.000 14 | 64.590,94.183,56.000,48.000 15 | 63.771,95.001,56.000,48.000 16 | 61.878,94.046,57.239,49.062 17 | 59.369,93.209,57.239,49.062 18 | 59.170,90.931,58.505,50.147 19 | 56.605,93.923,58.505,50.147 20 | 57.033,90.504,58.505,50.147 21 | 54.895,94.351,58.505,50.147 22 | 54.895,90.504,58.505,50.147 23 | 53.613,92.213,58.505,50.147 24 | 52.331,94.778,58.505,50.147 25 | 51.306,93.253,57.258,49.078 26 | 53.127,93.373,56.037,48.031 27 | 52.540,95.464,54.842,47.007 28 | 55.442,95.579,53.672,46.005 29 | 55.442,94.402,53.672,46.005 30 | 58.579,89.696,53.672,46.005 31 | 55.834,90.873,53.672,46.005 32 | 53.874,92.834,53.672,46.005 33 | 54.266,95.579,53.672,46.005 34 | 55.050,97.539,53.672,46.005 35 | 57.890,100.675,52.528,45.024 36 | 59.042,101.827,52.528,45.024 37 | 58.658,103.362,52.528,45.024 38 | 58.274,104.129,52.528,45.024 39 | 59.042,104.513,52.528,45.024 40 | 60.960,104.513,52.528,45.024 41 | 58.931,103.884,51.407,44.064 42 | 58.931,105.010,51.407,44.064 43 | 60.809,102.757,51.407,44.064 44 | 61.936,101.630,51.407,44.064 45 | 61.757,102.701,52.545,45.038 46 | 61.757,105.005,52.545,45.038 47 | 64.828,103.085,52.545,45.038 48 | 66.748,101.550,52.545,45.038 49 | 65.596,104.621,52.545,45.038 50 | 65.980,104.621,52.545,45.038 51 | 67.515,105.005,52.545,45.038 52 | 70.203,103.469,52.545,45.038 53 | 73.658,98.478,52.545,45.038 54 | 76.729,96.943,52.545,45.038 55 | 77.497,100.014,52.545,45.038 56 | 79.167,102.344,51.424,44.078 57 | 80.440,107.160,50.328,43.138 58 | 83.014,104.954,50.328,43.138 59 | 86.323,107.895,50.328,43.138 60 | 88.897,109.366,50.328,43.138 61 | 86.244,108.763,49.254,42.218 62 | 88.043,109.483,49.254,42.218 63 | 91.642,109.123,49.254,42.218 64 | 95.636,110.267,48.204,41.318 65 | 98.526,111.726,47.176,40.437 66 | 99.693,111.492,46.170,39.574 67 | 102.136,110.289,45.185,38.730 68 | 104.447,108.308,45.185,38.730 69 | 106.428,108.968,45.185,38.730 70 | 109.399,108.638,45.185,38.730 71 | 112.040,106.987,45.185,38.730 72 | 113.361,108.308,45.185,38.730 73 | 116.002,107.317,45.185,38.730 74 | 117.322,108.308,45.185,38.730 75 | 119.633,107.317,45.185,38.730 76 | 121.388,109.003,44.222,37.904 77 | 125.908,110.964,43.279,37.096 78 | 129.417,112.274,42.356,36.305 79 | 131.957,113.854,41.453,35.531 80 | 136.485,112.774,40.569,34.773 81 | 138.632,114.002,39.704,34.032 82 | 142.411,112.966,38.857,33.306 83 | 145.561,113.869,38.028,32.596 84 | 151.590,111.806,37.217,31.900 85 | 156.257,106.657,38.041,32.606 86 | 157.924,103.878,38.041,32.606 87 | 163.559,95.444,38.882,33.328 88 | 168.729,94.485,39.743,34.065 89 | 178.833,92.000,40.622,34.819 90 | 185.158,87.919,41.521,35.589 91 | 187.888,86.403,41.521,35.589 92 | 189.002,86.324,42.439,36.377 93 | 190.553,86.634,42.439,36.377 94 | 191.692,91.057,43.378,37.181 95 | 193.514,92.618,44.338,38.004 96 | 194.367,93.878,45.319,38.845 97 | 195.361,94.541,45.319,38.845 98 | 198.010,93.216,45.319,38.845 99 | 200.659,91.892,45.319,38.845 100 | 202.314,89.574,45.319,38.845 101 | 204.632,90.898,45.319,38.845 102 | 205.956,91.892,45.319,38.845 103 | 208.605,93.547,45.319,38.845 104 | 208.936,94.541,45.319,38.845 105 | 210.261,94.541,45.319,38.845 106 | 212.910,95.534,45.319,38.845 107 | 214.126,95.104,46.322,39.704 108 | 215.480,95.443,46.322,39.704 109 | 218.864,94.766,46.322,39.704 110 | 216.947,95.380,47.347,40.583 111 | 219.714,94.688,47.347,40.583 112 | 222.062,96.034,48.394,41.481 113 | 223.830,95.326,48.394,41.481 114 | 225.244,96.741,48.394,41.481 115 | 228.744,94.815,49.465,42.398 116 | 230.821,94.346,50.559,43.336 117 | 233.038,96.193,50.559,43.336 118 | 234.885,98.409,50.559,43.336 119 | 237.470,96.931,50.559,43.336 120 | 240.426,95.084,50.559,43.336 121 | 243.315,96.138,51.678,44.295 122 | 246.714,95.760,51.678,44.295 123 | 247.709,93.703,52.821,45.275 124 | 250.796,92.546,52.821,45.275 125 | 255.427,94.475,52.821,45.275 126 | 259.672,95.633,52.821,45.275 127 | 263.917,94.861,52.821,45.275 128 | -------------------------------------------------------------------------------- /trackers/results/OTB2015/ECO/Dog.txt: -------------------------------------------------------------------------------- 1 | 74.000,86.000,56.000,48.000 2 | 75.049,86.971,54.902,47.059 3 | 71.900,85.000,57.120,48.960 4 | 73.049,85.971,54.902,47.059 5 | 73.173,85.000,52.770,45.231 6 | 72.708,85.328,51.735,44.345 7 | 71.708,83.480,51.735,44.345 8 | 72.556,83.328,51.735,44.345 9 | 75.413,82.413,49.726,42.623 10 | 71.517,83.574,50.721,43.475 11 | 73.865,93.312,48.751,41.787 12 | 73.397,93.581,46.858,40.164 13 | 73.071,92.581,46.858,40.164 14 | 72.372,92.393,45.039,38.605 15 | 71.176,90.589,45.039,38.605 16 | 70.634,89.788,44.156,37.848 17 | 68.710,89.632,45.940,39.377 18 | 66.890,88.991,45.940,39.377 19 | 64.397,88.418,46.858,40.164 20 | 63.234,90.091,46.858,40.164 21 | 62.234,92.091,46.858,40.164 22 | 59.383,92.477,48.751,41.787 23 | 57.749,93.077,49.726,42.623 24 | 57.254,94.477,48.751,41.787 25 | 58.071,95.418,46.858,40.164 26 | 59.785,95.393,45.039,38.605 27 | 59.071,94.418,46.858,40.164 28 | 58.710,93.991,45.940,39.377 29 | 58.981,94.198,45.039,38.605 30 | 60.999,94.576,44.156,37.848 31 | 62.279,93.795,42.441,36.378 32 | 61.953,93.668,41.609,35.665 33 | 62.832,96.931,40.793,34.965 34 | 64.596,98.396,39.209,33.608 35 | 66.330,100.022,37.686,32.303 36 | 66.966,102.085,38.440,32.949 37 | 66.896,100.996,39.209,33.608 38 | 66.984,100.676,37.686,32.303 39 | 69.349,101.022,37.686,32.303 40 | 68.707,102.325,36.947,31.669 41 | 69.389,102.329,36.223,31.048 42 | 69.470,103.200,34.816,29.843 43 | 69.682,103.623,36.223,31.048 44 | 69.026,103.665,36.947,31.669 45 | 68.966,102.339,38.440,32.949 46 | 71.346,103.325,36.947,31.669 47 | 70.966,105.771,38.440,32.949 48 | 71.932,105.360,39.993,34.280 49 | 73.653,105.339,38.440,32.949 50 | 75.003,105.349,37.686,32.303 51 | 76.003,104.676,37.686,32.303 52 | 78.665,104.665,36.947,31.669 53 | 81.006,104.665,36.947,31.669 54 | 84.280,104.646,35.513,30.439 55 | 87.871,104.871,34.134,29.257 56 | 88.682,106.611,32.808,28.121 57 | 88.768,109.744,33.464,28.684 58 | 89.992,110.715,32.165,27.570 59 | 93.864,111.289,32.165,27.570 60 | 93.963,111.158,33.464,28.684 61 | 95.853,110.268,32.808,28.121 62 | 98.422,112.112,31.534,27.029 63 | 99.296,112.548,31.534,27.029 64 | 109.546,108.639,30.310,25.980 65 | 108.373,110.055,29.133,24.971 66 | 109.494,110.535,29.133,24.971 67 | 112.499,111.999,28.002,24.001 68 | 112.999,111.499,28.002,24.001 69 | 115.535,111.535,29.133,24.971 70 | 118.259,111.749,28.562,24.481 71 | 119.765,110.765,29.715,25.470 72 | 118.179,116.870,28.562,24.481 73 | 123.479,113.581,29.715,25.470 74 | 124.219,112.729,28.562,24.481 75 | 127.499,112.999,28.002,24.001 76 | 132.849,113.965,26.914,23.069 77 | 133.499,110.499,28.002,24.001 78 | 138.319,111.789,28.562,24.481 79 | 140.259,111.749,28.562,24.481 80 | 141.765,111.295,29.715,25.470 81 | 144.769,112.259,28.562,24.481 82 | 149.696,111.754,27.453,23.531 83 | 152.927,112.446,26.914,23.069 84 | 153.264,111.244,27.453,23.531 85 | 154.735,114.676,27.453,23.531 86 | 157.927,115.446,26.914,23.069 87 | 157.284,109.832,27.452,23.531 88 | 161.134,111.134,26.386,22.617 89 | 173.114,104.946,25.869,22.174 90 | 177.620,104.512,24.865,21.312 91 | 171.852,111.504,24.865,21.312 92 | 174.536,111.631,25.362,21.739 93 | 175.720,109.307,26.386,22.617 94 | 179.442,108.725,25.362,21.739 95 | 192.038,101.022,25.869,22.174 96 | 193.844,101.844,24.865,21.312 97 | 196.799,100.951,25.869,22.174 98 | 189.314,109.136,26.914,23.069 99 | 192.337,108.027,25.869,22.174 100 | 201.504,102.628,24.865,21.312 101 | 199.642,103.337,25.869,22.174 102 | 203.442,104.536,25.362,21.739 103 | 205.413,106.261,25.869,22.174 104 | 206.027,106.875,25.869,22.174 105 | 209.176,107.288,24.865,21.312 106 | 209.272,109.348,25.362,21.739 107 | 211.134,109.192,26.386,22.617 108 | 212.244,105.793,27.452,23.531 109 | 216.500,103.499,28.002,24.001 110 | 218.004,105.407,26.914,23.069 111 | 221.205,102.774,27.452,23.531 112 | 222.735,102.244,27.452,23.531 113 | 226.499,102.999,28.002,24.001 114 | 229.446,103.485,26.914,23.069 115 | 234.185,104.875,25.869,22.174 116 | 238.547,103.249,26.386,22.617 117 | 239.735,104.696,27.452,23.531 118 | 243.299,105.789,28.562,24.481 119 | 238.872,108.205,27.452,23.531 120 | 244.019,108.192,26.386,22.617 121 | 247.696,107.735,27.452,23.531 122 | 252.547,109.134,26.386,22.617 123 | 252.778,110.134,26.386,22.617 124 | 257.185,110.413,25.869,22.174 125 | 262.952,109.956,24.865,21.312 126 | 271.232,106.417,23.899,20.485 127 | 273.488,105.617,24.377,20.895 128 | -------------------------------------------------------------------------------- /trackers/results/OTB2015/MDNet/Skater.txt: -------------------------------------------------------------------------------- 1 | 138.0,57.0,39.0,137.0 2 | 138.0,58.0,39.0,138.0 3 | 139.0,57.0,38.0,139.0 4 | 138.0,57.0,39.0,140.0 5 | 139.0,60.0,37.0,136.0 6 | 139.0,59.0,36.0,137.0 7 | 138.0,62.0,37.0,135.0 8 | 139.0,65.0,37.0,132.0 9 | 139.0,68.0,37.0,129.0 10 | 138.0,71.0,39.0,127.0 11 | 138.0,78.0,38.0,123.0 12 | 138.0,78.0,39.0,122.0 13 | 137.0,83.0,41.0,118.0 14 | 138.0,89.0,39.0,118.0 15 | 138.0,91.0,41.0,116.0 16 | 138.0,94.0,40.0,114.0 17 | 139.0,95.0,42.0,110.0 18 | 139.0,97.0,39.0,114.0 19 | 139.0,99.0,41.0,111.0 20 | 140.0,99.0,43.0,110.0 21 | 141.0,99.0,43.0,111.0 22 | 141.0,100.0,43.0,111.0 23 | 141.0,100.0,43.0,113.0 24 | 141.0,99.0,44.0,112.0 25 | 141.0,100.0,43.0,114.0 26 | 142.0,103.0,41.0,116.0 27 | 142.0,99.0,43.0,118.0 28 | 147.0,92.0,44.0,114.0 29 | 148.0,95.0,43.0,113.0 30 | 149.0,94.0,43.0,112.0 31 | 150.0,91.0,44.0,111.0 32 | 152.0,90.0,42.0,108.0 33 | 152.0,88.0,42.0,108.0 34 | 155.0,83.0,41.0,107.0 35 | 155.0,85.0,40.0,107.0 36 | 157.0,82.0,41.0,105.0 37 | 156.0,84.0,40.0,105.0 38 | 158.0,79.0,39.0,106.0 39 | 161.0,74.0,39.0,105.0 40 | 162.0,70.0,39.0,108.0 41 | 162.0,69.0,38.0,108.0 42 | 162.0,71.0,37.0,105.0 43 | 160.0,75.0,38.0,107.0 44 | 157.0,81.0,38.0,104.0 45 | 158.0,67.0,38.0,109.0 46 | 158.0,64.0,37.0,109.0 47 | 155.0,63.0,37.0,110.0 48 | 156.0,63.0,37.0,109.0 49 | 153.0,72.0,37.0,108.0 50 | 149.0,73.0,37.0,109.0 51 | 144.0,75.0,38.0,111.0 52 | 139.0,80.0,39.0,109.0 53 | 135.0,83.0,40.0,110.0 54 | 136.0,81.0,39.0,110.0 55 | 134.0,81.0,39.0,110.0 56 | 132.0,74.0,38.0,110.0 57 | 134.0,73.0,36.0,113.0 58 | 132.0,82.0,36.0,115.0 59 | 128.0,62.0,36.0,119.0 60 | 126.0,64.0,37.0,118.0 61 | 120.0,60.0,40.0,123.0 62 | 115.0,58.0,41.0,124.0 63 | 113.0,65.0,41.0,121.0 64 | 115.0,77.0,39.0,109.0 65 | 116.0,85.0,41.0,104.0 66 | 117.0,86.0,40.0,102.0 67 | 115.0,91.0,40.0,103.0 68 | 115.0,93.0,39.0,103.0 69 | 117.0,92.0,40.0,105.0 70 | 122.0,98.0,38.0,104.0 71 | 128.0,92.0,38.0,106.0 72 | 128.0,92.0,37.0,105.0 73 | 131.0,94.0,40.0,108.0 74 | 135.0,95.0,39.0,106.0 75 | 136.0,94.0,40.0,100.0 76 | 135.0,91.0,37.0,105.0 77 | 134.0,83.0,35.0,115.0 78 | 135.0,84.0,36.0,112.0 79 | 137.0,80.0,36.0,117.0 80 | 137.0,78.0,36.0,113.0 81 | 137.0,75.0,38.0,113.0 82 | 135.0,70.0,37.0,115.0 83 | 134.0,69.0,36.0,113.0 84 | 133.0,68.0,35.0,112.0 85 | 133.0,68.0,36.0,111.0 86 | 131.0,68.0,34.0,113.0 87 | 128.0,69.0,38.0,109.0 88 | 124.0,69.0,40.0,108.0 89 | 121.0,70.0,39.0,108.0 90 | 116.0,70.0,41.0,111.0 91 | 117.0,70.0,39.0,110.0 92 | 113.0,70.0,40.0,112.0 93 | 108.0,69.0,42.0,113.0 94 | 105.0,68.0,43.0,116.0 95 | 102.0,65.0,41.0,117.0 96 | 100.0,67.0,42.0,117.0 97 | 99.0,67.0,43.0,117.0 98 | 96.0,66.0,44.0,118.0 99 | 94.0,63.0,43.0,116.0 100 | 92.0,65.0,44.0,116.0 101 | 91.0,63.0,41.0,118.0 102 | 91.0,64.0,40.0,115.0 103 | 90.0,63.0,39.0,113.0 104 | 90.0,63.0,38.0,113.0 105 | 87.0,62.0,39.0,113.0 106 | 87.0,58.0,38.0,114.0 107 | 89.0,56.0,37.0,115.0 108 | 91.0,57.0,38.0,114.0 109 | 90.0,51.0,38.0,118.0 110 | 90.0,46.0,38.0,125.0 111 | 93.0,52.0,35.0,121.0 112 | 94.0,57.0,37.0,116.0 113 | 98.0,62.0,37.0,112.0 114 | 100.0,61.0,38.0,114.0 115 | 100.0,62.0,38.0,113.0 116 | 105.0,61.0,37.0,117.0 117 | 110.0,64.0,36.0,116.0 118 | 115.0,66.0,35.0,115.0 119 | 119.0,64.0,34.0,118.0 120 | 122.0,61.0,34.0,121.0 121 | 122.0,59.0,35.0,122.0 122 | 125.0,56.0,35.0,124.0 123 | 128.0,54.0,34.0,127.0 124 | 130.0,54.0,34.0,128.0 125 | 132.0,55.0,34.0,123.0 126 | 132.0,53.0,36.0,122.0 127 | 132.0,55.0,35.0,122.0 128 | 133.0,56.0,35.0,119.0 129 | 134.0,55.0,35.0,118.0 130 | 134.0,55.0,35.0,118.0 131 | 134.0,55.0,34.0,120.0 132 | 134.0,54.0,34.0,119.0 133 | 134.0,54.0,34.0,117.0 134 | 134.0,53.0,33.0,121.0 135 | 134.0,53.0,35.0,117.0 136 | 135.0,53.0,35.0,119.0 137 | 135.0,52.0,36.0,120.0 138 | 134.0,54.0,36.0,122.0 139 | 134.0,53.0,35.0,126.0 140 | 135.0,56.0,37.0,120.0 141 | 139.0,54.0,35.0,126.0 142 | 141.0,55.0,35.0,126.0 143 | 142.0,58.0,38.0,121.0 144 | 143.0,57.0,39.0,117.0 145 | 143.0,59.0,39.0,117.0 146 | 145.0,60.0,33.0,118.0 147 | 147.0,60.0,32.0,117.0 148 | 149.0,59.0,32.0,117.0 149 | 152.0,62.0,32.0,116.0 150 | 154.0,63.0,31.0,116.0 151 | 154.0,63.0,32.0,114.0 152 | 156.0,66.0,32.0,112.0 153 | 157.0,64.0,33.0,116.0 154 | 161.0,68.0,32.0,114.0 155 | 162.0,67.0,33.0,116.0 156 | 163.0,66.0,33.0,118.0 157 | 163.0,66.0,32.0,120.0 158 | 161.0,64.0,35.0,116.0 159 | 164.0,69.0,35.0,117.0 160 | 164.0,72.0,34.0,114.0 161 | -------------------------------------------------------------------------------- /trackers/results/OTB2015/MDNet/Ironman.txt: -------------------------------------------------------------------------------- 1 | 206.0,85.0,49.0,57.0 2 | 205.0,90.0,44.0,52.0 3 | 203.0,93.0,45.0,51.0 4 | 206.0,93.0,42.0,49.0 5 | 212.0,89.0,40.0,48.0 6 | 215.0,84.0,47.0,55.0 7 | 216.0,72.0,41.0,51.0 8 | 210.0,66.0,42.0,52.0 9 | 206.0,67.0,44.0,50.0 10 | 207.0,69.0,43.0,49.0 11 | 212.0,73.0,41.0,48.0 12 | 215.0,75.0,41.0,49.0 13 | 219.0,81.0,40.0,48.0 14 | 221.0,86.0,39.0,47.0 15 | 221.0,90.0,39.0,47.0 16 | 219.0,87.0,40.0,43.0 17 | 216.0,88.0,38.0,45.0 18 | 217.0,81.0,37.0,45.0 19 | 221.0,70.0,39.0,45.0 20 | 219.0,67.0,39.0,45.0 21 | 205.0,63.0,43.0,51.0 22 | 205.0,58.0,41.0,59.0 23 | 204.0,54.0,43.0,49.0 24 | 199.0,44.0,43.0,49.0 25 | 196.0,43.0,42.0,48.0 26 | 203.0,36.0,42.0,48.0 27 | 202.0,33.0,34.0,45.0 28 | 195.0,25.0,35.0,42.0 29 | 188.0,21.0,34.0,42.0 30 | 183.0,18.0,35.0,42.0 31 | 178.0,18.0,35.0,46.0 32 | 181.0,27.0,32.0,41.0 33 | 184.0,36.0,38.0,41.0 34 | 182.0,40.0,38.0,43.0 35 | 185.0,44.0,41.0,47.0 36 | 179.0,32.0,42.0,48.0 37 | 183.0,37.0,38.0,47.0 38 | 189.0,35.0,43.0,44.0 39 | 206.0,35.0,41.0,47.0 40 | 220.0,48.0,36.0,42.0 41 | 214.0,48.0,42.0,48.0 42 | 221.0,64.0,38.0,43.0 43 | 219.0,63.0,41.0,46.0 44 | 224.0,74.0,35.0,39.0 45 | 223.0,68.0,41.0,46.0 46 | 225.0,72.0,33.0,40.0 47 | 226.0,63.0,37.0,43.0 48 | 231.0,58.0,35.0,44.0 49 | 228.0,46.0,37.0,45.0 50 | 234.0,50.0,35.0,38.0 51 | 235.0,43.0,41.0,46.0 52 | 253.0,49.0,42.0,43.0 53 | 271.0,47.0,43.0,41.0 54 | 289.0,48.0,37.0,38.0 55 | 291.0,42.0,38.0,42.0 56 | 293.0,40.0,41.0,44.0 57 | 306.0,39.0,40.0,47.0 58 | 313.0,29.0,41.0,50.0 59 | 317.0,29.0,40.0,47.0 60 | 328.0,24.0,40.0,46.0 61 | 334.0,25.0,38.0,43.0 62 | 334.0,22.0,40.0,46.0 63 | 334.0,15.0,38.0,49.0 64 | 338.0,15.0,37.0,46.0 65 | 343.0,20.0,34.0,37.0 66 | 347.0,16.0,37.0,39.0 67 | 352.0,13.0,35.0,47.0 68 | 354.0,18.0,34.0,49.0 69 | 355.0,23.0,35.0,50.0 70 | 355.0,32.0,37.0,45.0 71 | 356.0,35.0,38.0,45.0 72 | 355.0,35.0,41.0,48.0 73 | 351.0,38.0,46.0,52.0 74 | 345.0,41.0,43.0,45.0 75 | 346.0,43.0,41.0,46.0 76 | 341.0,41.0,42.0,49.0 77 | 343.0,47.0,38.0,45.0 78 | 339.0,44.0,37.0,48.0 79 | 336.0,41.0,38.0,49.0 80 | 338.0,38.0,42.0,53.0 81 | 339.0,39.0,37.0,47.0 82 | 342.0,44.0,35.0,44.0 83 | 343.0,47.0,35.0,41.0 84 | 346.0,52.0,35.0,40.0 85 | 345.0,55.0,33.0,39.0 86 | 350.0,52.0,31.0,41.0 87 | 352.0,50.0,32.0,41.0 88 | 353.0,49.0,34.0,43.0 89 | 350.0,48.0,33.0,42.0 90 | 352.0,49.0,35.0,47.0 91 | 355.0,47.0,34.0,41.0 92 | 360.0,49.0,33.0,41.0 93 | 359.0,49.0,33.0,42.0 94 | 358.0,51.0,33.0,40.0 95 | 351.0,49.0,35.0,42.0 96 | 346.0,51.0,35.0,43.0 97 | 345.0,53.0,33.0,42.0 98 | 345.0,54.0,33.0,43.0 99 | 347.0,55.0,32.0,42.0 100 | 347.0,55.0,39.0,45.0 101 | 357.0,57.0,43.0,53.0 102 | 367.0,67.0,40.0,50.0 103 | 371.0,74.0,42.0,52.0 104 | 376.0,84.0,40.0,51.0 105 | 378.0,100.0,39.0,50.0 106 | 376.0,110.0,39.0,50.0 107 | 377.0,119.0,39.0,50.0 108 | 350.0,126.0,38.0,49.0 109 | 358.0,117.0,38.0,49.0 110 | 346.0,110.0,38.0,49.0 111 | 345.0,135.0,39.0,50.0 112 | 315.0,116.0,39.0,50.0 113 | 286.0,91.0,39.0,57.0 114 | 302.0,87.0,40.0,51.0 115 | 284.0,56.0,39.0,56.0 116 | 285.0,69.0,40.0,54.0 117 | 287.0,73.0,39.0,57.0 118 | 287.0,80.0,41.0,61.0 119 | 290.0,95.0,43.0,55.0 120 | 293.0,114.0,43.0,56.0 121 | 335.0,104.0,43.0,56.0 122 | 323.0,116.0,43.0,56.0 123 | 287.0,110.0,42.0,55.0 124 | 279.0,113.0,42.0,55.0 125 | 241.0,114.0,42.0,55.0 126 | 272.0,137.0,42.0,56.0 127 | 270.0,107.0,42.0,55.0 128 | 280.0,107.0,42.0,56.0 129 | 267.0,87.0,42.0,56.0 130 | 247.0,78.0,42.0,56.0 131 | 197.0,14.0,41.0,54.0 132 | 202.0,9.0,39.0,50.0 133 | 202.0,6.0,40.0,49.0 134 | 190.0,7.0,43.0,56.0 135 | 182.0,-0.0,51.0,59.0 136 | 186.0,-3.0,52.0,58.0 137 | 195.0,-3.0,47.0,49.0 138 | 189.0,-1.0,47.0,51.0 139 | 197.0,2.0,47.0,51.0 140 | 191.0,7.0,44.0,56.0 141 | 204.0,19.0,39.0,51.0 142 | 206.0,31.0,40.0,51.0 143 | 226.0,39.0,42.0,47.0 144 | 254.0,39.0,46.0,58.0 145 | 233.0,20.0,46.0,58.0 146 | 218.0,15.0,46.0,58.0 147 | 221.0,7.0,46.0,58.0 148 | 236.0,-4.0,46.0,58.0 149 | 230.0,31.0,46.0,58.0 150 | 234.0,29.0,46.0,57.0 151 | 280.0,52.0,46.0,57.0 152 | 310.0,79.0,47.0,57.0 153 | 300.0,78.0,50.0,64.0 154 | 286.0,79.0,56.0,65.0 155 | 267.0,81.0,57.0,66.0 156 | 254.0,78.0,58.0,66.0 157 | 241.0,80.0,55.0,65.0 158 | 231.0,74.0,51.0,67.0 159 | 230.0,74.0,45.0,61.0 160 | 240.0,61.0,48.0,58.0 161 | 267.0,61.0,48.0,58.0 162 | 271.0,82.0,48.0,58.0 163 | 288.0,68.0,48.0,57.0 164 | 294.0,39.0,48.0,57.0 165 | 290.0,40.0,47.0,56.0 166 | 296.0,11.0,47.0,66.0 167 | -------------------------------------------------------------------------------- /trackers/results/OTB2015/ECO/Trans.txt: -------------------------------------------------------------------------------- 1 | 196.000,51.000,139.000,194.000 2 | 193.192,47.581,144.616,201.838 3 | 196.000,48.544,139.000,194.000 4 | 193.192,44.581,144.616,201.838 5 | 193.192,44.581,144.616,201.838 6 | 193.192,44.581,144.616,201.838 7 | 193.192,44.581,144.616,201.838 8 | 193.192,44.581,144.616,201.838 9 | 193.192,41.506,144.616,201.838 10 | 196.000,45.500,139.000,194.000 11 | 190.117,41.581,144.616,201.838 12 | 190.192,41.581,144.616,201.838 13 | 184.072,34.305,150.458,209.992 14 | 185.746,39.700,147.508,205.874 15 | 179.503,32.141,153.467,214.192 16 | 179.766,32.404,153.467,214.192 17 | 176.503,29.141,153.467,214.192 18 | 176.766,29.404,153.467,214.192 19 | 176.609,33.563,147.508,205.874 20 | 172.072,28.305,150.458,209.992 21 | 172.271,28.504,150.458,209.992 22 | 169.072,25.305,150.458,209.992 23 | 173.883,30.700,147.508,205.874 24 | 170.766,26.404,153.467,214.192 25 | 164.271,22.078,159.667,222.845 26 | 171.030,26.404,153.467,214.192 27 | 172.271,31.704,150.458,209.992 28 | 172.271,31.504,150.458,209.992 29 | 169.232,27.262,156.536,218.475 30 | 166.070,19.386,162.861,227.302 31 | 169.232,24.262,156.536,218.475 32 | 172.561,20.934,156.536,218.475 33 | 174.062,19.078,159.667,222.845 34 | 173.666,15.682,159.667,222.845 35 | 177.506,11.576,166.118,231.848 36 | 184.506,11.576,166.118,231.848 37 | 191.506,11.576,166.118,231.848 38 | 196.986,5.654,169.440,236.485 39 | 198.761,2.893,172.829,241.214 40 | 206.436,2.893,172.829,241.214 41 | 209.761,2.893,172.829,241.214 42 | 210.418,-1.980,179.811,250.959 43 | 217.761,2.893,172.829,241.214 44 | 224.974,14.641,166.118,231.848 45 | 225.761,6.218,172.829,241.214 46 | 234.065,-2.803,179.811,250.959 47 | 241.897,-4.071,187.076,261.098 48 | 251.597,2.411,183.407,255.979 49 | 259.597,10.311,183.407,255.979 50 | 276.380,21.571,190.817,266.320 51 | 280.149,25.398,190.817,266.320 52 | 284.149,33.455,190.817,266.320 53 | 284.091,45.513,190.817,266.320 54 | 289.940,51.929,187.076,261.098 55 | 307.397,46.710,183.407,255.979 56 | 326.352,55.229,176.285,246.039 57 | 294.005,64.491,179.811,250.959 58 | 335.655,56.373,179.811,250.959 59 | 318.196,53.511,183.407,255.979 60 | 285.687,56.455,190.817,266.320 61 | 286.459,55.182,198.526,277.079 62 | 282.227,53.756,206.546,288.273 63 | 277.835,53.363,206.546,288.273 64 | 274.055,56.680,214.891,299.920 65 | 264.960,59.990,223.572,312.036 66 | 264.714,65.236,223.572,312.036 67 | 269.055,62.401,214.891,299.920 68 | 277.619,50.794,206.546,288.273 69 | 263.915,62.819,214.891,299.920 70 | 273.977,51.728,223.572,312.036 71 | 275.906,40.558,219.189,305.918 72 | 276.327,48.910,228.044,318.277 73 | 269.251,56.071,232.605,324.642 74 | 271.708,57.646,237.876,332.000 75 | 271.562,62.763,237.876,332.000 76 | 282.087,62.500,237.876,332.000 77 | 282.562,57.340,237.876,332.000 78 | 282.562,68.026,237.876,332.000 79 | 282.562,73.763,237.876,332.000 80 | 282.562,73.500,237.876,332.000 81 | 282.562,78.763,237.876,332.000 82 | 277.503,68.383,237.876,332.000 83 | 282.180,70.084,228.639,319.108 84 | 284.422,73.074,224.156,312.851 85 | 282.180,69.946,228.639,319.108 86 | 279.894,66.755,233.212,325.490 87 | 284.853,71.714,233.212,325.490 88 | 292.042,74.946,228.639,319.108 89 | 282.503,73.558,237.876,332.000 90 | 282.562,73.500,237.876,332.000 91 | 287.180,75.084,228.639,319.108 92 | 277.503,68.500,237.876,332.000 93 | 282.825,79.026,237.876,332.000 94 | 282.562,74.340,237.876,332.000 95 | 282.562,69.442,237.876,332.000 96 | 287.620,64.442,237.876,332.000 97 | 287.562,64.500,237.876,332.000 98 | 287.562,69.660,237.876,332.000 99 | 289.894,67.796,233.212,325.490 100 | 292.620,69.558,237.876,332.000 101 | 297.825,74.763,237.876,332.000 102 | 297.562,74.500,237.876,332.000 103 | 297.562,74.500,237.876,332.000 104 | 297.562,74.500,237.876,332.000 105 | 292.299,74.500,237.876,332.000 106 | 292.562,74.500,237.876,332.000 107 | 287.503,69.442,237.876,332.000 108 | 292.825,74.763,237.876,332.000 109 | 287.503,69.442,237.876,332.000 110 | 292.825,74.763,237.876,332.000 111 | 287.503,69.442,237.876,332.000 112 | 292.825,74.763,237.876,332.000 113 | 292.562,74.500,237.876,332.000 114 | 292.562,74.500,237.876,332.000 115 | 292.562,74.500,237.876,332.000 116 | 292.562,74.500,237.876,332.000 117 | 292.562,74.500,237.876,332.000 118 | 292.562,74.500,237.876,332.000 119 | 287.503,69.442,237.876,332.000 120 | 292.825,74.763,237.876,332.000 121 | 292.562,74.500,237.876,332.000 122 | 292.562,74.500,237.876,332.000 123 | 292.562,74.500,237.876,332.000 124 | 292.562,74.500,237.876,332.000 125 | -------------------------------------------------------------------------------- /got10k/datasets/lasot.py: -------------------------------------------------------------------------------- 1 | from __future__ import absolute_import, print_function 2 | 3 | import os 4 | import glob 5 | import json 6 | import numpy as np 7 | import six 8 | 9 | 10 | class LaSOT(object): 11 | r"""`LaSOT `_ Datasets. 12 | 13 | Publication: 14 | ``LaSOT: A High-quality Benchmark for Large-scale Single Object Tracking``, 15 | H. Fan, L. Lin, F. Yang, P. Chu, G. Deng, S. Yu, H. Bai, 16 | Y. Xu, C. Liao, and H. Ling., CVPR 2019. 17 | 18 | Args: 19 | root_dir (string): Root directory of dataset where sequence 20 | folders exist. 21 | subset (string, optional): Specify ``train`` or ``test`` 22 | subset of LaSOT. 23 | """ 24 | def __init__(self, root_dir, subset='test', return_meta=False): 25 | super(LaSOT, self).__init__() 26 | assert subset in ['train', 'test'], 'Unknown subset.' 27 | 28 | self.root_dir = root_dir 29 | self.subset = subset 30 | self.return_meta = return_meta 31 | self._check_integrity(root_dir, subset) 32 | 33 | self.anno_files = sorted(glob.glob( 34 | os.path.join(root_dir, '*/*/groundtruth.txt'))) 35 | self.seq_dirs = [os.path.join( 36 | os.path.dirname(f), 'img') for f in self.anno_files] 37 | self.seq_names = [os.path.basename(os.path.dirname(f)) for f in self.anno_files] 38 | 39 | # load subset sequence names 40 | split_file = os.path.join( 41 | os.path.dirname(__file__), 'lasot.json') 42 | with open(split_file, 'r') as f: 43 | splits = json.load(f) 44 | self.seq_names = splits[subset] 45 | 46 | # image and annotation paths 47 | self.seq_dirs = [os.path.join( 48 | root_dir, n[:n.rfind('-')], n, 'img') 49 | for n in self.seq_names] 50 | self.anno_files = [os.path.join( 51 | os.path.dirname(d), 'groundtruth.txt') 52 | for d in self.seq_dirs] 53 | 54 | def __getitem__(self, index): 55 | r""" 56 | Args: 57 | index (integer or string): Index or name of a sequence. 58 | 59 | Returns: 60 | tuple: (img_files, anno) if ``return_meta`` is False, otherwise 61 | (img_files, anno, meta), where ``img_files`` is a list of 62 | file names, ``anno`` is a N x 4 (rectangles) numpy array, while 63 | ``meta`` is a dict contains meta information about the sequence. 64 | """ 65 | if isinstance(index, six.string_types): 66 | if not index in self.seq_names: 67 | raise Exception('Sequence {} not found.'.format(index)) 68 | index = self.seq_names.index(index) 69 | 70 | img_files = sorted(glob.glob(os.path.join( 71 | self.seq_dirs[index], '*.jpg'))) 72 | anno = np.loadtxt(self.anno_files[index], delimiter=',') 73 | 74 | if self.return_meta: 75 | meta = self._fetch_meta(self.seq_dirs[index]) 76 | return img_files, anno, meta 77 | else: 78 | return img_files, anno 79 | 80 | def __len__(self): 81 | return len(self.seq_names) 82 | 83 | def _check_integrity(self, root_dir, subset): 84 | seq_names = os.listdir(root_dir) 85 | seq_names = [n for n in seq_names if not n[0] == '.'] 86 | 87 | if os.path.isdir(root_dir) and len(seq_names) > 0: 88 | # check each sequence folder 89 | for seq_name in seq_names: 90 | seq_dir = os.path.join(root_dir, seq_name) 91 | if not os.path.isdir(seq_dir): 92 | print('Warning: sequence %s not exists.' % seq_name) 93 | else: 94 | # dataset not exists 95 | raise Exception('Dataset not found or corrupted.') 96 | 97 | def _fetch_meta(self, seq_dir): 98 | seq_dir = os.path.dirname(seq_dir) 99 | meta = {} 100 | 101 | # attributes 102 | for att in ['full_occlusion', 'out_of_view']: 103 | att_file = os.path.join(seq_dir, att + '.txt') 104 | meta[att] = np.loadtxt(att_file, delimiter=',') 105 | 106 | # nlp 107 | nlp_file = os.path.join(seq_dir, 'nlp.txt') 108 | with open(nlp_file, 'r') as f: 109 | meta['nlp'] = f.read().strip() 110 | 111 | return meta 112 | -------------------------------------------------------------------------------- /trackers/results/OTB2015/SiamFC/Trans.txt: -------------------------------------------------------------------------------- 1 | 196.000,51.000,139.000,194.000 2 | 194.693,49.693,139.000,194.000 3 | 196.000,51.000,139.000,194.000 4 | 194.693,48.387,139.000,194.000 5 | 194.511,46.241,142.075,198.292 6 | 193.176,47.576,142.075,198.292 7 | 191.840,46.241,142.075,198.292 8 | 191.840,46.241,142.075,198.292 9 | 190.505,44.905,142.075,198.292 10 | 191.840,44.905,142.075,198.292 11 | 190.505,46.241,142.075,198.292 12 | 189.169,47.576,142.075,198.292 13 | 185.163,46.241,142.075,198.292 14 | 183.828,46.241,142.075,198.292 15 | 186.499,46.241,142.075,198.292 16 | 182.492,44.905,142.075,198.292 17 | 180.921,42.712,145.219,202.679 18 | 175.461,38.617,145.219,202.679 19 | 175.461,39.982,145.219,202.679 20 | 172.438,40.572,148.432,207.164 21 | 168.252,37.782,148.432,207.164 22 | 169.505,34.042,151.716,211.747 23 | 165.227,34.042,151.716,211.747 24 | 163.801,34.042,151.716,211.747 25 | 165.227,34.042,151.716,211.747 26 | 165.028,31.700,155.073,216.432 27 | 167.943,31.700,155.073,216.432 28 | 163.203,26.281,158.504,221.221 29 | 160.224,20.321,158.504,221.221 30 | 161.562,16.328,162.010,226.115 31 | 156.993,17.851,162.010,226.115 32 | 161.562,19.374,162.010,226.115 33 | 161.562,16.328,162.010,226.115 34 | 167.653,20.897,162.010,226.115 35 | 173.761,18.396,165.595,231.118 36 | 178.430,19.952,165.595,231.118 37 | 184.656,19.952,165.595,231.118 38 | 186.213,21.509,165.595,231.118 39 | 190.882,19.952,165.595,231.118 40 | 195.552,24.622,165.595,231.118 41 | 203.335,27.735,165.595,231.118 42 | 211.117,32.404,165.595,231.118 43 | 215.787,43.300,165.595,231.118 44 | 220.414,31.054,169.259,236.232 45 | 229.960,21.508,169.259,236.232 46 | 237.992,10.642,173.004,241.458 47 | 246.201,16.406,176.831,246.800 48 | 251.142,18.849,180.744,252.261 49 | 254.540,12.054,180.744,252.261 50 | 261.354,18.076,184.743,257.842 51 | 266.563,28.495,184.743,257.842 52 | 271.773,33.705,184.743,257.842 53 | 276.936,30.852,188.830,263.547 54 | 280.485,36.177,188.830,263.547 55 | 272.872,33.262,193.008,269.378 56 | 274.686,38.704,193.008,269.378 57 | 278.315,35.076,193.008,269.378 58 | 285.571,38.704,193.008,269.378 59 | 274.686,42.333,193.008,269.378 60 | 276.500,38.704,193.008,269.378 61 | 283.776,33.842,197.278,275.338 62 | 268.942,26.425,197.278,275.338 63 | 274.505,41.259,197.278,275.338 64 | 272.650,48.677,197.278,275.338 65 | 263.379,41.259,197.278,275.338 66 | 263.379,44.968,197.278,275.338 67 | 259.670,37.551,197.278,275.338 68 | 261.524,39.405,197.278,275.338 69 | 263.628,45.916,193.071,269.466 70 | 260.439,50.538,188.954,263.720 71 | 253.335,52.314,188.954,263.720 72 | 262.215,54.090,188.954,263.720 73 | 267.543,59.419,188.954,263.720 74 | 258.663,46.986,188.954,263.720 75 | 258.663,52.314,188.954,263.720 76 | 262.215,59.419,188.954,263.720 77 | 265.767,64.747,188.954,263.720 78 | 257.511,58.999,184.924,258.096 79 | 257.511,62.476,184.924,258.096 80 | 266.285,61.424,189.016,263.806 81 | 266.285,66.754,189.016,263.806 82 | 260.955,61.424,189.016,263.806 83 | 266.285,56.094,189.016,263.806 84 | 337.352,63.201,189.016,263.806 85 | 348.012,64.977,189.016,263.806 86 | 342.235,58.372,193.198,269.643 87 | 334.445,49.737,197.472,275.609 88 | 324.027,47.309,193.261,269.731 89 | 320.394,56.392,193.261,269.731 90 | 323.910,62.831,197.537,275.699 91 | 312.770,59.118,197.537,275.699 92 | 312.770,64.688,197.537,275.699 93 | 307.199,60.974,197.537,275.699 94 | 301.629,59.118,197.537,275.699 95 | 297.916,62.831,197.537,275.699 96 | 293.804,52.076,201.908,281.799 97 | 293.539,58.803,206.375,288.034 98 | 295.479,52.984,206.375,288.034 99 | 297.221,51.810,210.941,294.407 100 | 293.256,49.827,210.941,294.407 101 | 307.379,38.342,215.608,300.920 102 | 311.432,32.262,215.608,300.920 103 | 315.486,44.422,215.608,300.920 104 | 313.459,42.395,215.608,300.920 105 | 307.944,57.324,211.010,294.503 106 | 304.459,54.729,206.510,288.223 107 | 298.147,55.568,211.079,294.600 108 | 292.195,49.616,211.079,294.600 109 | 298.270,62.319,206.578,288.317 110 | 286.620,52.610,206.578,288.317 111 | 298.180,66.914,202.173,282.169 112 | 298.180,57.412,202.173,282.169 113 | 301.981,65.014,202.173,282.169 114 | 296.810,60.696,197.861,276.151 115 | 304.249,68.135,197.861,276.151 116 | 298.670,60.696,197.861,276.151 117 | 298.670,68.135,197.861,276.151 118 | 302.389,60.696,197.861,276.151 119 | 300.530,68.135,197.861,276.151 120 | 296.411,55.432,202.239,282.261 121 | 302.114,64.937,202.239,282.261 122 | 298.774,58.786,197.926,276.242 123 | 300.444,63.450,202.305,282.354 124 | 302.346,55.844,202.305,282.354 125 | -------------------------------------------------------------------------------- /trackers/results/OTB2015/ECO/Human8.txt: -------------------------------------------------------------------------------- 1 | 110.000,101.000,30.000,91.000 2 | 110.975,100.202,31.212,94.676 3 | 110.894,99.121,31.212,94.676 4 | 111.643,99.276,31.836,96.570 5 | 110.854,100.162,31.212,94.676 6 | 112.220,104.150,30.600,92.820 7 | 113.975,104.202,31.212,94.676 8 | 115.500,107.000,30.000,91.000 9 | 116.500,106.000,30.000,91.000 10 | 119.966,105.844,28.835,87.466 11 | 123.414,106.541,27.715,84.070 12 | 126.844,105.433,26.639,80.805 13 | 128.551,106.666,25.605,77.668 14 | 129.195,109.815,24.610,74.652 15 | 128.698,108.666,25.605,77.668 16 | 130.015,109.354,24.610,74.652 17 | 132.250,109.835,23.655,71.753 18 | 133.461,108.835,23.655,71.753 19 | 132.616,106.227,22.736,68.967 20 | 131.905,104.554,23.191,70.346 21 | 133.451,105.100,23.191,70.346 22 | 135.045,105.515,24.128,73.188 23 | 136.240,105.906,24.128,73.188 24 | 138.656,105.174,24.610,74.652 25 | 139.622,103.591,25.103,76.145 26 | 141.622,102.591,25.103,76.145 27 | 144.045,103.102,24.128,73.188 28 | 144.436,102.906,24.128,73.188 29 | 144.673,103.624,23.655,71.753 30 | 147.038,103.624,23.655,71.753 31 | 146.905,105.100,23.191,70.346 32 | 148.250,104.624,23.655,71.753 33 | 149.015,100.713,24.610,74.652 34 | 149.673,102.624,23.655,71.753 35 | 150.678,100.235,23.191,70.346 36 | 152.841,102.436,22.290,67.614 37 | 152.132,100.501,22.736,68.967 38 | 152.132,100.017,22.736,68.967 39 | 151.845,101.356,21.853,66.289 40 | 151.998,102.643,21.005,63.714 41 | 152.502,102.720,21.425,64.989 42 | 153.098,102.436,22.290,67.614 43 | 155.759,104.813,21.853,66.289 44 | 155.998,104.943,21.005,63.714 45 | 156.890,108.013,20.593,62.465 46 | 158.216,107.720,21.425,64.989 47 | 158.698,107.943,21.005,63.714 48 | 161.644,107.006,21.425,64.989 49 | 162.841,103.464,22.290,67.614 50 | 164.216,105.006,21.425,64.989 51 | 165.759,103.627,21.853,66.289 52 | 168.798,106.043,21.005,63.714 53 | 172.770,109.572,20.189,61.240 54 | 173.576,109.267,20.593,62.465 55 | 173.698,104.442,21.005,63.714 56 | 175.751,105.207,20.189,61.240 57 | 175.405,103.534,20.189,61.240 58 | 177.091,105.716,19.405,58.862 59 | 179.039,107.833,18.652,56.577 60 | 180.418,108.212,18.652,56.577 61 | 179.797,106.422,19.405,58.862 62 | 181.256,107.280,19.025,57.708 63 | 183.039,108.833,18.652,56.577 64 | 184.256,108.012,19.025,57.708 65 | 185.738,107.069,19.405,58.862 66 | 186.263,105.820,19.793,60.040 67 | 186.204,104.954,20.593,62.465 68 | 185.517,105.954,20.593,62.465 69 | 184.297,104.242,21.005,63.714 70 | 184.502,104.006,21.425,64.989 71 | 185.502,101.863,21.425,64.989 72 | 185.998,103.343,21.005,63.714 73 | 187.216,103.006,21.425,64.989 74 | 187.890,103.581,20.593,62.465 75 | 189.751,103.880,20.189,61.240 76 | 189.603,104.480,19.793,60.040 77 | 191.091,105.069,19.405,58.862 78 | 192.738,105.069,19.405,58.862 79 | 193.078,103.880,20.189,61.240 80 | 193.603,103.820,19.793,60.040 81 | 192.944,101.501,19.793,60.040 82 | 193.622,103.914,19.025,57.708 83 | 194.923,104.460,19.793,60.040 84 | 194.988,107.548,19.025,57.708 85 | 196.256,108.280,19.025,57.708 86 | 198.039,109.833,18.652,56.577 87 | 200.661,110.212,18.652,56.577 88 | 199.151,107.128,19.405,58.862 89 | 198.603,105.820,19.793,60.040 90 | 197.944,104.820,19.793,60.040 91 | 197.354,105.646,19.025,57.708 92 | 198.418,106.833,18.652,56.577 93 | 199.418,108.455,18.652,56.577 94 | 199.967,106.938,18.286,55.467 95 | 200.622,105.012,19.025,57.708 96 | 202.091,103.422,19.405,58.862 97 | 201.151,104.363,19.405,58.862 98 | 201.444,104.716,19.405,58.862 99 | 201.988,106.280,19.025,57.708 100 | 201.354,106.012,19.025,57.708 101 | 200.797,103.775,19.405,58.862 102 | 200.988,104.646,19.025,57.708 103 | 202.091,103.422,19.405,58.862 104 | 202.622,103.646,19.025,57.708 105 | 205.039,104.833,18.652,56.577 106 | 207.039,106.455,18.652,56.577 107 | 207.357,106.157,18.286,55.467 108 | 208.731,108.103,17.927,54.380 109 | 208.174,108.455,18.652,56.577 110 | 208.796,107.590,18.652,56.577 111 | 209.174,105.968,18.652,56.577 112 | 207.931,105.590,18.652,56.577 113 | 207.552,105.212,18.652,56.577 114 | 206.341,105.713,17.927,54.380 115 | 206.536,105.310,17.927,54.380 116 | 205.736,104.643,17.231,52.268 117 | 206.298,103.843,17.576,53.313 118 | 207.053,102.063,16.893,51.243 119 | 205.927,101.315,16.893,51.243 120 | 207.180,100.878,16.893,51.243 121 | 206.115,100.829,16.562,50.238 122 | 207.602,102.417,15.919,48.288 123 | 207.540,103.417,15.919,48.288 124 | 209.380,103.784,15.301,46.413 125 | 211.257,103.350,15.607,47.341 126 | 212.464,102.873,16.237,49.253 127 | 212.923,102.873,16.237,49.253 128 | 215.427,103.485,16.562,50.238 129 | -------------------------------------------------------------------------------- /trackers/results/OTB2015/ECO/Man.txt: -------------------------------------------------------------------------------- 1 | 69.000,48.000,26.000,39.000 2 | 69.052,47.680,25.490,38.235 3 | 68.755,48.085,25.490,38.235 4 | 69.457,49.085,25.490,38.235 5 | 70.457,49.382,25.490,38.235 6 | 71.005,49.069,24.990,37.486 7 | 69.784,48.716,26.000,39.000 8 | 70.216,49.716,26.000,39.000 9 | 70.755,49.680,25.490,38.235 10 | 71.005,49.757,24.990,37.486 11 | 71.250,49.450,24.500,36.751 12 | 71.005,49.446,24.990,37.486 13 | 71.693,50.446,24.990,37.486 14 | 73.382,50.757,24.990,37.486 15 | 73.693,50.069,24.990,37.486 16 | 74.933,49.000,26.000,39.000 17 | 75.457,49.382,25.490,38.235 18 | 76.457,49.382,25.490,38.235 19 | 78.649,49.716,26.000,39.000 20 | 80.382,51.446,24.990,37.486 21 | 82.950,52.125,24.500,36.751 22 | 87.137,51.757,24.990,37.486 23 | 89.759,52.446,24.990,37.486 24 | 90.693,53.446,24.990,37.486 25 | 95.137,54.446,24.990,37.486 26 | 98.448,55.446,24.990,37.486 27 | 102.825,56.446,24.990,37.486 28 | 108.785,57.485,24.020,36.030 29 | 112.137,56.757,24.990,37.486 30 | 112.005,56.757,24.990,37.486 31 | 116.825,56.757,24.990,37.486 32 | 121.461,56.823,24.020,36.030 33 | 124.626,56.125,24.500,36.751 34 | 126.759,55.757,24.990,37.486 35 | 130.800,55.823,24.020,36.030 36 | 130.725,56.487,23.549,35.323 37 | 132.865,57.185,23.087,34.631 38 | 135.138,55.161,24.020,36.030 39 | 137.023,57.136,23.549,35.323 40 | 137.374,56.189,23.549,35.323 41 | 139.023,56.487,23.549,35.323 42 | 137.684,57.185,23.087,34.631 43 | 139.430,56.900,22.635,33.952 44 | 138.726,57.136,23.549,35.323 45 | 138.726,56.838,23.549,35.323 46 | 138.726,56.838,23.549,35.323 47 | 138.077,56.838,23.549,35.323 48 | 138.374,56.838,23.549,35.323 49 | 139.374,56.189,23.549,35.323 50 | 139.320,56.185,23.087,34.631 51 | 137.828,56.147,24.020,36.030 52 | 138.593,57.821,23.087,34.631 53 | 139.593,57.548,23.087,34.631 54 | 139.726,56.838,23.549,35.323 55 | 138.684,57.185,23.087,34.631 56 | 139.593,57.185,23.087,34.631 57 | 140.374,57.487,23.549,35.323 58 | 139.684,58.185,23.087,34.631 59 | 141.016,58.245,22.191,33.286 60 | 139.684,57.185,23.087,34.631 61 | 140.374,56.838,23.549,35.323 62 | 140.320,57.185,23.087,34.631 63 | 139.320,57.185,23.087,34.631 64 | 139.593,57.185,23.087,34.631 65 | 140.374,57.487,23.549,35.323 66 | 140.726,58.487,23.549,35.323 67 | 139.684,58.548,23.087,34.631 68 | 140.152,56.823,24.020,36.030 69 | 140.956,57.185,23.087,34.631 70 | 140.077,57.487,23.549,35.323 71 | 140.374,58.487,23.549,35.323 72 | 141.374,58.189,23.549,35.323 73 | 141.320,57.548,23.087,34.631 74 | 140.726,57.487,23.549,35.323 75 | 140.726,58.487,23.549,35.323 76 | 141.374,58.838,23.549,35.323 77 | 141.490,57.161,24.020,36.030 78 | 141.077,58.487,23.549,35.323 79 | 141.374,58.838,23.549,35.323 80 | 141.490,57.161,24.020,36.030 81 | 141.726,59.136,23.549,35.323 82 | 141.077,58.189,23.549,35.323 83 | 140.726,57.838,23.549,35.323 84 | 140.726,57.838,23.549,35.323 85 | 140.077,57.838,23.549,35.323 86 | 139.077,57.189,23.549,35.323 87 | 138.726,57.487,23.549,35.323 88 | 136.779,57.838,23.549,35.323 89 | 134.504,56.161,24.020,36.030 90 | 135.374,58.136,23.549,35.323 91 | 134.428,57.189,23.549,35.323 92 | 132.130,56.838,23.549,35.323 93 | 128.139,56.548,23.087,34.631 94 | 124.842,56.147,24.020,36.030 95 | 122.412,57.185,23.087,34.631 96 | 122.374,56.838,23.549,35.323 97 | 120.130,56.838,23.549,35.323 98 | 114.867,56.548,23.087,34.631 99 | 112.130,57.136,23.549,35.323 100 | 106.569,56.900,22.635,33.952 101 | 102.736,57.468,22.191,33.286 102 | 102.405,58.468,22.191,33.286 103 | 97.817,57.277,22.635,33.952 104 | 94.440,56.900,22.635,33.952 105 | 89.183,55.189,23.549,35.323 106 | 84.832,54.189,23.549,35.323 107 | 81.139,53.548,23.087,34.631 108 | 82.016,54.468,22.191,33.286 109 | 79.959,54.857,22.191,33.286 110 | 76.440,52.653,22.635,33.952 111 | 72.481,53.136,23.549,35.323 112 | 71.428,52.838,23.549,35.323 113 | 69.779,52.838,23.549,35.323 114 | 68.428,52.838,23.549,35.323 115 | 68.077,52.838,23.549,35.323 116 | 66.428,52.838,23.549,35.323 117 | 67.374,52.838,23.549,35.323 118 | 67.077,52.838,23.549,35.323 119 | 66.320,52.548,23.087,34.631 120 | 66.152,51.485,24.020,36.030 121 | 66.925,51.125,24.500,36.751 122 | 67.250,51.125,24.500,36.751 123 | 67.250,51.125,24.500,36.751 124 | 67.490,51.485,24.020,36.030 125 | 67.250,51.125,24.500,36.751 126 | 67.250,51.125,24.500,36.751 127 | 67.925,51.800,24.500,36.751 128 | 68.925,52.800,24.500,36.751 129 | 70.374,53.838,23.549,35.323 130 | 70.726,53.189,23.549,35.323 131 | 70.077,52.838,23.549,35.323 132 | 69.490,51.823,24.020,36.030 133 | 69.250,51.800,24.500,36.751 134 | 69.250,52.800,24.500,36.751 135 | -------------------------------------------------------------------------------- /trackers/results/OTB2015/SiamFC/Man.txt: -------------------------------------------------------------------------------- 1 | 69.000,48.000,26.000,39.000 2 | 68.491,46.982,26.000,39.000 3 | 69.764,48.509,26.000,39.000 4 | 69.764,47.745,26.000,39.000 5 | 70.018,48.509,26.000,39.000 6 | 70.273,48.000,26.000,39.000 7 | 70.782,47.491,26.000,39.000 8 | 70.018,48.509,26.000,39.000 9 | 70.782,48.255,26.000,39.000 10 | 70.528,48.255,26.000,39.000 11 | 70.782,48.509,26.000,39.000 12 | 71.037,48.764,26.000,39.000 13 | 71.546,48.764,26.000,39.000 14 | 71.546,49.273,26.000,39.000 15 | 72.819,48.255,26.000,39.000 16 | 74.347,48.764,26.000,39.000 17 | 76.129,49.782,26.000,39.000 18 | 75.366,49.528,26.000,39.000 19 | 77.403,49.528,26.000,39.000 20 | 79.694,49.528,26.000,39.000 21 | 81.477,50.546,26.000,39.000 22 | 84.787,51.055,26.000,39.000 23 | 87.842,51.310,26.000,39.000 24 | 88.861,51.565,26.000,39.000 25 | 92.425,53.092,26.000,39.000 26 | 97.518,54.111,26.000,39.000 27 | 100.064,54.875,26.000,39.000 28 | 105.920,56.403,26.000,39.000 29 | 111.267,57.421,26.000,39.000 30 | 112.031,57.421,26.000,39.000 31 | 116.869,58.185,26.000,39.000 32 | 119.670,56.912,26.000,39.000 33 | 122.980,55.893,26.000,39.000 34 | 126.036,55.893,26.000,39.000 35 | 128.582,55.893,26.000,39.000 36 | 128.327,55.384,26.000,39.000 37 | 130.873,54.366,26.000,39.000 38 | 132.146,54.620,26.000,39.000 39 | 134.183,55.129,26.000,39.000 40 | 136.475,54.366,26.000,39.000 41 | 138.512,55.129,26.000,39.000 42 | 137.748,54.366,26.000,39.000 43 | 138.512,55.639,26.000,39.000 44 | 138.767,55.639,26.000,39.000 45 | 139.021,55.384,26.000,39.000 46 | 139.021,55.384,26.000,39.000 47 | 139.021,54.875,26.000,39.000 48 | 139.021,55.639,26.000,39.000 49 | 138.767,55.129,26.000,39.000 50 | 138.257,54.875,26.000,39.000 51 | 139.276,56.148,26.000,39.000 52 | 139.531,55.129,26.000,39.000 53 | 139.021,55.384,26.000,39.000 54 | 139.531,55.639,26.000,39.000 55 | 139.276,55.893,26.000,39.000 56 | 140.040,56.403,26.000,39.000 57 | 140.294,55.384,26.000,39.000 58 | 140.549,55.893,26.000,39.000 59 | 139.531,56.403,26.000,39.000 60 | 140.040,55.639,26.000,39.000 61 | 140.549,56.148,26.000,39.000 62 | 140.040,55.639,26.000,39.000 63 | 140.549,56.403,26.000,39.000 64 | 141.072,56.818,25.446,38.168 65 | 141.570,57.068,25.446,38.168 66 | 140.573,56.071,25.446,38.168 67 | 141.072,56.320,25.446,38.168 68 | 141.570,56.569,25.446,38.168 69 | 141.570,57.068,25.446,38.168 70 | 141.570,56.320,25.446,38.168 71 | 141.819,56.818,25.446,38.168 72 | 142.068,57.317,25.446,38.168 73 | 142.318,56.569,25.446,38.168 74 | 141.570,57.317,25.446,38.168 75 | 142.318,57.068,25.446,38.168 76 | 142.318,56.818,25.446,38.168 77 | 142.318,57.815,25.446,38.168 78 | 142.318,57.317,25.446,38.168 79 | 142.567,57.068,25.446,38.168 80 | 143.065,56.818,25.446,38.168 81 | 143.314,58.064,25.446,38.168 82 | 142.318,56.818,25.446,38.168 83 | 141.819,57.815,25.446,38.168 84 | 142.318,57.566,25.446,38.168 85 | 141.570,57.068,25.446,38.168 86 | 140.573,56.071,25.446,38.168 87 | 139.327,55.572,25.446,38.168 88 | 137.583,56.071,25.446,38.168 89 | 135.091,55.074,25.446,38.168 90 | 135.839,55.572,25.446,38.168 91 | 133.347,55.572,25.446,38.168 92 | 130.606,55.822,25.446,38.168 93 | 128.363,56.818,25.446,38.168 94 | 125.871,55.572,25.446,38.168 95 | 122.382,54.825,25.446,38.168 96 | 120.638,55.323,25.446,38.168 97 | 118.644,55.323,25.446,38.168 98 | 116.900,54.326,25.446,38.168 99 | 119.143,52.582,25.446,38.168 100 | 114.159,51.336,25.446,38.168 101 | 108.677,52.333,25.446,38.168 102 | 102.945,53.828,25.446,38.168 103 | 97.212,54.715,24.903,37.354 104 | 94.912,54.555,25.454,38.181 105 | 89.428,53.807,25.454,38.181 106 | 85.440,52.561,25.454,38.181 107 | 82.107,51.767,24.911,37.367 108 | 80.727,50.754,24.380,36.570 109 | 78.339,51.471,24.380,36.570 110 | 76.528,50.940,23.860,35.790 111 | 74.659,51.641,23.860,35.790 112 | 73.023,50.473,23.860,35.790 113 | 71.387,49.772,23.860,35.790 114 | 70.453,50.706,23.860,35.790 115 | 69.518,50.706,23.860,35.790 116 | 68.817,50.940,23.860,35.790 117 | 68.817,51.641,23.860,35.790 118 | 68.817,50.706,23.860,35.790 119 | 69.051,50.940,23.860,35.790 120 | 69.284,51.174,23.860,35.790 121 | 68.817,49.772,23.860,35.790 122 | 69.752,50.940,23.860,35.790 123 | 70.453,50.473,23.860,35.790 124 | 70.920,49.538,23.860,35.790 125 | 71.387,50.706,23.860,35.790 126 | 70.453,50.239,23.860,35.790 127 | 71.387,50.473,23.860,35.790 128 | 71.621,50.473,23.860,35.790 129 | 72.088,50.940,23.860,35.790 130 | 71.387,51.407,23.860,35.790 131 | 72.093,51.981,24.388,36.582 132 | 72.123,50.530,23.868,35.802 133 | 72.357,51.231,23.868,35.802 134 | 72.820,51.562,24.396,36.594 135 | -------------------------------------------------------------------------------- /got10k/datasets/got10k.py: -------------------------------------------------------------------------------- 1 | from __future__ import absolute_import, print_function 2 | 3 | import os 4 | import glob 5 | import numpy as np 6 | import six 7 | 8 | 9 | class GOT10k(object): 10 | r"""`GOT-10K `_ Dataset. 11 | 12 | Publication: 13 | ``GOT-10k: A Large High-Diversity Benchmark for Generic Object 14 | Tracking in the Wild``, L. Huang, X. Zhao and K. Huang, ArXiv 2018. 15 | 16 | Args: 17 | root_dir (string): Root directory of dataset where ``train``, 18 | ``val`` and ``test`` folders exist. 19 | subset (string, optional): Specify ``train``, ``val`` or ``test`` 20 | subset of GOT-10k. 21 | return_meta (string, optional): If True, returns ``meta`` 22 | of each sequence in ``__getitem__`` function, otherwise 23 | only returns ``img_files`` and ``anno``. 24 | """ 25 | def __init__(self, root_dir, subset='test', return_meta=False): 26 | super(GOT10k, self).__init__() 27 | assert subset in ['train', 'val', 'test'], 'Unknown subset.' 28 | 29 | self.root_dir = root_dir 30 | self.subset = subset 31 | self.return_meta = False if subset == 'test' else return_meta 32 | self._check_integrity(root_dir, subset) 33 | 34 | list_file = os.path.join(root_dir, subset, 'list.txt') 35 | with open(list_file, 'r') as f: 36 | self.seq_names = f.read().strip().split('\n') 37 | self.seq_dirs = [os.path.join(root_dir, subset, s) 38 | for s in self.seq_names] 39 | self.anno_files = [os.path.join(d, 'groundtruth.txt') 40 | for d in self.seq_dirs] 41 | 42 | def __getitem__(self, index): 43 | r""" 44 | Args: 45 | index (integer or string): Index or name of a sequence. 46 | 47 | Returns: 48 | tuple: (img_files, anno) if ``return_meta`` is False, otherwise 49 | (img_files, anno, meta), where ``img_files`` is a list of 50 | file names, ``anno`` is a N x 4 (rectangles) numpy array, while 51 | ``meta`` is a dict contains meta information about the sequence. 52 | """ 53 | if isinstance(index, six.string_types): 54 | if not index in self.seq_names: 55 | raise Exception('Sequence {} not found.'.format(index)) 56 | index = self.seq_names.index(index) 57 | 58 | img_files = sorted(glob.glob(os.path.join( 59 | self.seq_dirs[index], '*.jpg'))) 60 | anno = np.loadtxt(self.anno_files[index], delimiter=',') 61 | 62 | if self.subset == 'test' and anno.ndim == 1: 63 | assert len(anno) == 4 64 | anno = anno[np.newaxis, :] 65 | else: 66 | assert len(img_files) == len(anno) 67 | 68 | if self.return_meta: 69 | meta = self._fetch_meta(self.seq_dirs[index]) 70 | return img_files, anno, meta 71 | else: 72 | return img_files, anno 73 | 74 | def __len__(self): 75 | return len(self.seq_names) 76 | 77 | def _check_integrity(self, root_dir, subset): 78 | assert subset in ['train', 'val', 'test'] 79 | list_file = os.path.join(root_dir, subset, 'list.txt') 80 | 81 | if os.path.isfile(list_file): 82 | with open(list_file, 'r') as f: 83 | seq_names = f.read().strip().split('\n') 84 | 85 | # check each sequence folder 86 | for seq_name in seq_names: 87 | seq_dir = os.path.join(root_dir, subset, seq_name) 88 | if not os.path.isdir(seq_dir): 89 | print('Warning: sequence %s not exists.' % seq_name) 90 | else: 91 | # dataset not exists 92 | raise Exception('Dataset not found or corrupted.') 93 | 94 | def _fetch_meta(self, seq_dir): 95 | # meta information 96 | meta_file = os.path.join(seq_dir, 'meta_info.ini') 97 | with open(meta_file) as f: 98 | meta = f.read().strip().split('\n')[1:] 99 | meta = [line.split(': ') for line in meta] 100 | meta = {line[0]: line[1] for line in meta} 101 | 102 | # attributes 103 | attributes = ['cover', 'absence', 'cut_by_image'] 104 | for att in attributes: 105 | meta[att] = np.loadtxt(os.path.join(seq_dir, att + '.label')) 106 | 107 | return meta 108 | -------------------------------------------------------------------------------- /trackers/results/OTB2015/MDNet/Subway.txt: -------------------------------------------------------------------------------- 1 | 16.0,88.0,19.0,51.0 2 | 18.0,88.0,18.0,52.0 3 | 19.0,88.0,19.0,53.0 4 | 21.0,88.0,18.0,50.0 5 | 23.0,89.0,17.0,49.0 6 | 24.0,89.0,18.0,49.0 7 | 26.0,92.0,18.0,46.0 8 | 28.0,93.0,17.0,46.0 9 | 29.0,91.0,17.0,48.0 10 | 31.0,92.0,17.0,47.0 11 | 33.0,93.0,17.0,46.0 12 | 34.0,91.0,17.0,46.0 13 | 36.0,90.0,16.0,46.0 14 | 37.0,93.0,16.0,44.0 15 | 39.0,92.0,17.0,45.0 16 | 42.0,95.0,16.0,45.0 17 | 44.0,93.0,15.0,46.0 18 | 45.0,94.0,15.0,46.0 19 | 47.0,92.0,15.0,46.0 20 | 49.0,92.0,15.0,46.0 21 | 50.0,93.0,15.0,46.0 22 | 52.0,93.0,15.0,48.0 23 | 53.0,92.0,15.0,48.0 24 | 54.0,92.0,16.0,47.0 25 | 56.0,92.0,16.0,46.0 26 | 57.0,92.0,17.0,46.0 27 | 59.0,93.0,16.0,46.0 28 | 61.0,92.0,16.0,47.0 29 | 63.0,92.0,16.0,48.0 30 | 65.0,92.0,15.0,48.0 31 | 67.0,90.0,15.0,50.0 32 | 68.0,91.0,15.0,47.0 33 | 69.0,90.0,16.0,47.0 34 | 71.0,92.0,16.0,46.0 35 | 74.0,93.0,16.0,47.0 36 | 75.0,95.0,16.0,47.0 37 | 76.0,96.0,16.0,45.0 38 | 76.0,96.0,15.0,44.0 39 | 70.0,97.0,19.0,50.0 40 | 80.0,100.0,19.0,51.0 41 | 80.0,99.0,19.0,51.0 42 | 88.0,94.0,12.0,42.0 43 | 90.0,96.0,12.0,43.0 44 | 90.0,95.0,14.0,45.0 45 | 91.0,95.0,15.0,44.0 46 | 92.0,94.0,14.0,46.0 47 | 94.0,92.0,14.0,48.0 48 | 95.0,93.0,15.0,45.0 49 | 97.0,93.0,16.0,46.0 50 | 98.0,94.0,17.0,46.0 51 | 99.0,92.0,17.0,45.0 52 | 100.0,91.0,18.0,45.0 53 | 102.0,93.0,18.0,44.0 54 | 104.0,95.0,18.0,44.0 55 | 107.0,95.0,17.0,45.0 56 | 109.0,94.0,16.0,47.0 57 | 111.0,93.0,17.0,46.0 58 | 113.0,93.0,16.0,46.0 59 | 114.0,93.0,16.0,45.0 60 | 116.0,93.0,16.0,44.0 61 | 118.0,93.0,16.0,45.0 62 | 119.0,93.0,16.0,46.0 63 | 120.0,93.0,16.0,47.0 64 | 122.0,92.0,16.0,46.0 65 | 124.0,93.0,16.0,45.0 66 | 125.0,93.0,17.0,44.0 67 | 126.0,93.0,16.0,45.0 68 | 128.0,93.0,16.0,45.0 69 | 131.0,93.0,16.0,45.0 70 | 132.0,92.0,16.0,48.0 71 | 134.0,92.0,16.0,47.0 72 | 136.0,91.0,15.0,47.0 73 | 137.0,93.0,16.0,45.0 74 | 140.0,93.0,14.0,44.0 75 | 141.0,93.0,15.0,45.0 76 | 143.0,92.0,15.0,47.0 77 | 145.0,93.0,17.0,48.0 78 | 145.0,91.0,17.0,46.0 79 | 146.0,90.0,18.0,47.0 80 | 147.0,90.0,18.0,47.0 81 | 149.0,90.0,18.0,47.0 82 | 151.0,89.0,18.0,48.0 83 | 153.0,88.0,17.0,48.0 84 | 155.0,88.0,17.0,50.0 85 | 157.0,87.0,16.0,51.0 86 | 158.0,86.0,16.0,52.0 87 | 160.0,87.0,16.0,50.0 88 | 162.0,89.0,15.0,49.0 89 | 163.0,89.0,15.0,49.0 90 | 165.0,88.0,15.0,48.0 91 | 167.0,88.0,15.0,48.0 92 | 168.0,89.0,16.0,47.0 93 | 169.0,88.0,17.0,47.0 94 | 170.0,91.0,17.0,44.0 95 | 172.0,89.0,16.0,44.0 96 | 169.0,76.0,21.0,57.0 97 | 176.0,86.0,18.0,43.0 98 | 178.0,85.0,16.0,46.0 99 | 180.0,84.0,16.0,48.0 100 | 182.0,86.0,15.0,49.0 101 | 184.0,87.0,14.0,49.0 102 | 185.0,87.0,15.0,48.0 103 | 186.0,87.0,15.0,50.0 104 | 188.0,86.0,16.0,52.0 105 | 189.0,86.0,17.0,50.0 106 | 191.0,87.0,17.0,50.0 107 | 193.0,86.0,17.0,51.0 108 | 195.0,87.0,17.0,50.0 109 | 196.0,86.0,17.0,50.0 110 | 199.0,87.0,16.0,50.0 111 | 200.0,86.0,16.0,49.0 112 | 202.0,85.0,15.0,50.0 113 | 203.0,83.0,15.0,49.0 114 | 205.0,83.0,15.0,50.0 115 | 207.0,85.0,14.0,49.0 116 | 208.0,85.0,14.0,50.0 117 | 210.0,85.0,14.0,49.0 118 | 211.0,85.0,14.0,48.0 119 | 212.0,84.0,15.0,48.0 120 | 214.0,84.0,14.0,48.0 121 | 217.0,85.0,14.0,47.0 122 | 218.0,87.0,15.0,44.0 123 | 220.0,87.0,15.0,44.0 124 | 224.0,87.0,13.0,45.0 125 | 225.0,86.0,13.0,46.0 126 | 226.0,86.0,13.0,44.0 127 | 228.0,85.0,12.0,45.0 128 | 230.0,86.0,12.0,45.0 129 | 231.0,85.0,13.0,46.0 130 | 233.0,87.0,14.0,47.0 131 | 234.0,88.0,15.0,48.0 132 | 236.0,88.0,15.0,47.0 133 | 237.0,87.0,16.0,47.0 134 | 238.0,86.0,16.0,47.0 135 | 239.0,86.0,17.0,49.0 136 | 241.0,87.0,17.0,48.0 137 | 243.0,86.0,17.0,50.0 138 | 245.0,86.0,16.0,50.0 139 | 247.0,86.0,15.0,50.0 140 | 249.0,85.0,14.0,49.0 141 | 250.0,85.0,15.0,47.0 142 | 252.0,86.0,14.0,47.0 143 | 255.0,88.0,13.0,46.0 144 | 256.0,89.0,13.0,46.0 145 | 258.0,90.0,13.0,44.0 146 | 260.0,88.0,13.0,44.0 147 | 262.0,84.0,14.0,45.0 148 | 263.0,85.0,14.0,46.0 149 | 265.0,84.0,15.0,47.0 150 | 267.0,83.0,14.0,48.0 151 | 268.0,82.0,14.0,47.0 152 | 269.0,82.0,15.0,47.0 153 | 271.0,84.0,15.0,47.0 154 | 272.0,81.0,16.0,48.0 155 | 273.0,83.0,17.0,46.0 156 | 275.0,82.0,17.0,49.0 157 | 277.0,86.0,17.0,50.0 158 | 279.0,86.0,17.0,51.0 159 | 280.0,84.0,18.0,50.0 160 | 282.0,85.0,18.0,50.0 161 | 284.0,87.0,18.0,49.0 162 | 286.0,85.0,18.0,51.0 163 | 289.0,86.0,17.0,51.0 164 | 291.0,87.0,17.0,51.0 165 | 292.0,86.0,17.0,51.0 166 | 294.0,84.0,17.0,52.0 167 | 296.0,84.0,16.0,49.0 168 | 297.0,84.0,16.0,50.0 169 | 299.0,84.0,16.0,49.0 170 | 301.0,82.0,16.0,49.0 171 | 301.0,81.0,17.0,49.0 172 | 302.0,80.0,17.0,49.0 173 | 305.0,83.0,17.0,48.0 174 | 307.0,83.0,17.0,47.0 175 | 308.0,83.0,17.0,47.0 176 | --------------------------------------------------------------------------------