├── LICENSE ├── Makefile ├── Pipfile ├── Pipfile.lock ├── README.md ├── README_DIoU_darknet.md ├── cfg ├── coco-ciou.cfg ├── coco-ciou.data ├── myData-ciou.cfg ├── myData-ciou.data ├── voc-ciou.cfg └── voc-ciou.data ├── darknet ├── data ├── 9k.labels ├── 9k.names ├── 9k.tree ├── coco.names ├── coco9k.map ├── dog.jpg ├── eagle.jpg ├── giraffe.jpg ├── goal.txt ├── horses.jpg ├── imagenet.labels.list ├── imagenet.shortnames.list ├── inet9k.map ├── kite.jpg ├── labels │ ├── 100_0.png │ ├── 100_1.png │ ├── 100_2.png │ ├── 100_3.png │ ├── 100_4.png │ ├── 100_5.png │ ├── 100_6.png │ ├── 100_7.png │ ├── 101_0.png │ ├── 101_1.png │ ├── 101_2.png │ ├── 101_3.png │ ├── 101_4.png │ ├── 101_5.png │ ├── 101_6.png │ ├── 101_7.png │ ├── 102_0.png │ ├── 102_1.png │ ├── 102_2.png │ ├── 102_3.png │ ├── 102_4.png │ ├── 102_5.png │ ├── 102_6.png │ ├── 102_7.png │ ├── 103_0.png │ ├── 103_1.png │ ├── 103_2.png │ ├── 103_3.png │ ├── 103_4.png │ ├── 103_5.png │ ├── 103_6.png │ ├── 103_7.png │ ├── 104_0.png │ 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├── 99_0.png │ ├── 99_1.png │ ├── 99_2.png │ ├── 99_3.png │ ├── 99_4.png │ ├── 99_5.png │ ├── 99_6.png │ ├── 99_7.png │ └── make_labels.py ├── myData.names ├── myData │ ├── 01_check_img.py │ ├── 02_check_box.py │ ├── 03_train_val_split.py │ └── 04_myData_label.py ├── openimages.names ├── person.jpg ├── scream.jpg ├── test.jpg ├── test.mp4 ├── test1.jpg ├── test10.jpg ├── test11.jpg ├── test3.png ├── test4.png ├── test5.jpg ├── test6.jpg ├── test7.jpg ├── test8.jpg ├── test9.jpg └── voc.names ├── examples ├── art.c ├── attention.c ├── captcha.c ├── cifar.c ├── classifier.c ├── coco.c ├── darknet.c ├── detector-scipy-opencv.py ├── detector.c ├── detector.py ├── dice.c ├── go.c ├── instance-segmenter.c ├── lsd.c ├── nightmare.c ├── regressor.c ├── rnn.c ├── rnn_vid.c ├── segmenter.c ├── super.c ├── swag.c ├── tag.c ├── voxel.c ├── writing.c └── yolo.c ├── include └── darknet.h ├── libdarknet.a ├── libdarknet.so ├── obj ├── activation_kernels.o ├── activation_layer.o ├── activations.o ├── art.o ├── avgpool_layer.o ├── avgpool_layer_kernels.o ├── batchnorm_layer.o ├── blas.o ├── blas_kernels.o ├── box.o ├── captcha.o ├── cifar.o ├── classifier.o ├── coco.o ├── col2im.o ├── col2im_kernels.o ├── connected_layer.o ├── convolutional_kernels.o ├── convolutional_layer.o ├── cost_layer.o ├── crnn_layer.o ├── crop_layer.o ├── crop_layer_kernels.o ├── cuda.o ├── darknet.o ├── data.o ├── deconvolutional_kernels.o ├── deconvolutional_layer.o ├── demo.o ├── detection_layer.o ├── detector.o ├── dropout_layer.o ├── dropout_layer_kernels.o ├── gemm.o ├── go.o ├── gru_layer.o ├── im2col.o ├── im2col_kernels.o ├── image.o ├── image_opencv.o ├── instance-segmenter.o ├── iseg_layer.o ├── l2norm_layer.o ├── layer.o ├── list.o ├── local_layer.o ├── logistic_layer.o ├── lsd.o ├── lstm_layer.o ├── matrix.o ├── maxpool_layer.o ├── maxpool_layer_kernels.o ├── network.o ├── nightmare.o ├── normalization_layer.o ├── option_list.o ├── parser.o ├── region_layer.o ├── regressor.o ├── reorg_layer.o ├── rnn.o ├── rnn_layer.o ├── route_layer.o ├── segmenter.o ├── shortcut_layer.o ├── softmax_layer.o ├── super.o ├── tag.o ├── tree.o ├── upsample_layer.o ├── utils.o ├── yolo.o └── yolo_layer.o ├── plots ├── baseline-comparison.html └── index.html ├── python ├── darknet.py └── proverbot.py ├── scripts ├── build_run.sh ├── build_voc_2012_val_list.sh ├── coco.m ├── coco_all_map.py ├── coco_eval.py ├── coco_eval_bb.py ├── coco_label.py ├── coco_matlab.sh ├── cocoapi-bb-only │ ├── LuaAPI │ │ ├── CocoApi.lua │ │ ├── MaskApi.lua │ │ ├── cocoDemo.lua │ │ ├── env.lua │ │ ├── init.lua │ │ └── rocks │ │ │ └── coco-scm-1.rockspec │ ├── MatlabAPI │ │ ├── CocoApi.m │ │ ├── CocoEval.m │ │ ├── CocoUtils.m │ │ ├── MaskApi.m │ │ ├── cocoDemo.m │ │ ├── evalDemo.m │ │ ├── gason.m │ │ └── private │ │ │ ├── gasonMex.cpp │ │ │ ├── gasonMex.mexa64 │ │ │ ├── gasonMex.mexmaci64 │ │ │ ├── getPrmDflt.m │ │ │ └── maskApiMex.c │ ├── PythonAPI │ │ ├── Makefile │ │ ├── build │ │ │ └── lib.linux-x86_64-3.7 │ │ │ │ └── pycocotools │ │ │ │ └── _mask.cpython-37m-x86_64-linux-gnu.so │ │ ├── pycocoDemo.ipynb │ │ ├── pycocoEvalDemo.ipynb │ │ ├── pycocotools.egg-info │ │ │ ├── PKG-INFO │ │ │ ├── SOURCES.txt │ │ │ ├── dependency_links.txt │ │ │ ├── requires.txt │ │ │ └── top_level.txt │ │ ├── pycocotools │ │ │ ├── __init__.py │ │ │ ├── _mask.c │ │ │ ├── _mask.cpython-37m-x86_64-linux-gnu.so │ │ │ ├── _mask.pyx │ │ │ ├── coco.py │ │ │ ├── cocoeval.py │ │ │ └── mask.py │ │ └── setup.py │ ├── README.txt │ ├── common │ │ ├── gason.cpp │ │ ├── gason.h │ │ ├── maskApi.c │ │ └── maskApi.h │ ├── license.txt │ └── results │ │ ├── captions_val2014_fakecap_results.json │ │ ├── instances_val2014_fakebbox100_results.json │ │ ├── instances_val2014_fakesegm100_results.json │ │ ├── person_keypoints_val2014_fakekeypoints100_results.json │ │ └── val2014_fake_eval_res.txt ├── cocoapi │ ├── LuaAPI │ │ ├── CocoApi.lua │ │ ├── MaskApi.lua │ │ ├── cocoDemo.lua │ │ ├── env.lua │ │ ├── init.lua │ │ └── rocks │ │ │ └── coco-scm-1.rockspec │ ├── MatlabAPI │ │ ├── CocoApi.m │ │ ├── CocoEval.m │ │ ├── CocoUtils.m │ │ ├── MaskApi.m │ │ ├── cocoDemo.m │ │ ├── evalDemo.m │ │ ├── gason.m │ │ └── private │ │ │ ├── gasonMex.cpp │ │ │ ├── gasonMex.mexa64 │ │ │ ├── gasonMex.mexmaci64 │ │ │ ├── getPrmDflt.m │ │ │ └── maskApiMex.c │ ├── PythonAPI │ │ ├── Makefile │ │ ├── pycocoDemo.ipynb │ │ ├── pycocoEvalDemo.ipynb │ │ ├── pycocotools │ │ │ ├── __init__.py │ │ │ ├── _mask.pyx │ │ │ ├── coco.py │ │ │ ├── cocoeval.py │ │ │ └── mask.py │ │ └── setup.py │ ├── README.txt │ ├── common │ │ ├── gason.cpp │ │ ├── gason.h │ │ ├── maskApi.c │ │ └── maskApi.h │ ├── license.txt │ └── results │ │ ├── captions_val2014_fakecap_results.json │ │ ├── instances_val2014_fakebbox100_results.json │ │ ├── instances_val2014_fakesegm100_results.json │ │ ├── person_keypoints_val2014_fakekeypoints100_results.json │ │ └── val2014_fake_eval_res.txt ├── crontab.tmpl ├── dice_label.sh ├── eval_map.sh ├── gen_tactic.sh ├── get_2017_coco_dataset.sh ├── get_coco_dataset.sh ├── get_open_image_dataset.sh ├── get_voc_dataset.sh ├── get_voc_test_dataset.sh ├── imagenet_label.sh ├── interactive.sh ├── iou_utils.py ├── local_training_setup.sh ├── make_coco_minival.py ├── openimages_to_coco_annotations.py ├── package_libs.sh ├── profiling.sh ├── qualitative_analysis.py ├── qualitative_analysis2.py ├── rsync_commands.sh ├── scr_setup.sh ├── submit_coco.sh ├── submit_voc.sh ├── to_afs.sh ├── to_scr.sh ├── update_all_map.sh ├── voc_all_map.py ├── voc_eval.py ├── voc_label.py ├── voc_label_difficult.py ├── voc_map.py └── voc_reval.py ├── serve.py ├── src ├── activation_kernels.cu ├── activation_layer.c ├── activation_layer.h ├── activations.c ├── activations.h ├── avgpool_layer.c ├── avgpool_layer.h ├── avgpool_layer_kernels.cu ├── batchnorm_layer.c ├── batchnorm_layer.h ├── blas.c ├── blas.h ├── blas_kernels.cu ├── box.c ├── box.h ├── classifier.h ├── col2im.c ├── col2im.h ├── col2im_kernels.cu ├── compare.c ├── connected_layer.c ├── connected_layer.h ├── convolutional_kernels.cu ├── convolutional_layer.c ├── convolutional_layer.h ├── cost_layer.c ├── cost_layer.h ├── crnn_layer.c ├── crnn_layer.h ├── crop_layer.c ├── crop_layer.h ├── crop_layer_kernels.cu ├── cuda.c ├── cuda.h ├── data.c ├── data.h ├── deconvolutional_kernels.cu ├── deconvolutional_layer.c ├── deconvolutional_layer.h ├── demo.c ├── demo.h ├── detection_layer.c ├── detection_layer.h ├── dropout_layer.c ├── dropout_layer.h ├── dropout_layer_kernels.cu ├── gemm.c ├── gemm.h ├── gru_layer.c ├── gru_layer.h ├── im2col.c ├── im2col.h ├── im2col_kernels.cu ├── image.c ├── image.h ├── image_opencv.cpp ├── iseg_layer.c ├── iseg_layer.h ├── l2norm_layer.c ├── l2norm_layer.h ├── layer.c ├── layer.h ├── list.c ├── list.h ├── local_layer.c ├── local_layer.h ├── logistic_layer.c ├── logistic_layer.h ├── lstm_layer.c ├── lstm_layer.h ├── matrix.c ├── matrix.h ├── maxpool_layer.c ├── maxpool_layer.h ├── maxpool_layer_kernels.cu ├── network.c 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-------------------------------------------------------------------------------- /scripts/coco_matlab.sh: -------------------------------------------------------------------------------- 1 | #!/bin/bash 2 | matlab -nodisplay -nosplash -r 'run("scripts/coco.m"); quit' 3 | -------------------------------------------------------------------------------- /scripts/cocoapi-bb-only/PythonAPI/pycocotools.egg-info/dependency_links.txt: -------------------------------------------------------------------------------- 1 | 2 | -------------------------------------------------------------------------------- /scripts/cocoapi-bb-only/PythonAPI/pycocotools.egg-info/requires.txt: -------------------------------------------------------------------------------- 1 | setuptools>=18.0 2 | cython>=0.27.3 3 | matplotlib>=2.1.0 4 | -------------------------------------------------------------------------------- /scripts/cocoapi-bb-only/PythonAPI/pycocotools.egg-info/top_level.txt: -------------------------------------------------------------------------------- 1 | pycocotools 2 | -------------------------------------------------------------------------------- /scripts/cocoapi-bb-only/PythonAPI/pycocotools/__init__.py: -------------------------------------------------------------------------------- 1 | __author__ = 'tylin' 2 | -------------------------------------------------------------------------------- /scripts/cocoapi/PythonAPI/pycocotools/__init__.py: -------------------------------------------------------------------------------- 1 | __author__ = 'tylin' 2 | -------------------------------------------------------------------------------- /src/classifier.h: -------------------------------------------------------------------------------- 1 | 2 | -------------------------------------------------------------------------------- /src/demo.h: -------------------------------------------------------------------------------- 1 | #ifndef DEMO_H 2 | #define DEMO_H 3 | 4 | #include "image.h" 5 | 6 | #endif 7 | -------------------------------------------------------------------------------- /src/layer.h: -------------------------------------------------------------------------------- 1 | #include "darknet.h" 2 | -------------------------------------------------------------------------------- /test_res/AIZ002.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/DataXujing/DIoU_YOLO_V3/8298959a92ab6ff33ae2992816d85c9234d181b8/test_res/AIZ002.jpg -------------------------------------------------------------------------------- /test_res/AIZoo1.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/DataXujing/DIoU_YOLO_V3/8298959a92ab6ff33ae2992816d85c9234d181b8/test_res/AIZoo1.jpg -------------------------------------------------------------------------------- /test_res/AIZoo3.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/DataXujing/DIoU_YOLO_V3/8298959a92ab6ff33ae2992816d85c9234d181b8/test_res/AIZoo3.jpg -------------------------------------------------------------------------------- /test_res/test11.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/DataXujing/DIoU_YOLO_V3/8298959a92ab6ff33ae2992816d85c9234d181b8/test_res/test11.jpg --------------------------------------------------------------------------------