├── .gitattributes ├── README.md ├── custom_data.yaml ├── custom_image_seg.ipynb ├── yolov8n-seg.pt └── yolov8x-seg_custom.yaml /.gitattributes: -------------------------------------------------------------------------------- 1 | # Auto detect text files and perform LF normalization 2 | * text=auto 3 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # YOLOv8-Image-Segmentation 2 | Image Segmentation On Custom Dataset Using YOLOv8 3 | 4 | Check this video for explanation: https://youtu.be/myle_dNJjqg 5 | 6 | Output : 7 | 8 | 9 | ![1 (4)](https://user-images.githubusercontent.com/60029146/212048158-87edcdee-2951-4af3-971f-c3047a3bbb52.jpg) 10 | 11 | ![1 (2)](https://user-images.githubusercontent.com/60029146/212048297-822357ed-e2f3-4f31-9395-7680b213ffc6.jpg) 12 | 13 | -------------------------------------------------------------------------------- /custom_data.yaml: -------------------------------------------------------------------------------- 1 | train: custom_dataset/train/images 2 | val: custom_dataset/valid/images 3 | test: custom_dataset/test/images 4 | 5 | nc: 2 6 | names: ['keyboard', 'mouse'] 7 | -------------------------------------------------------------------------------- /custom_image_seg.ipynb: -------------------------------------------------------------------------------- 1 | { 2 | "cells": [ 3 | { 4 | "cell_type": "code", 5 | "execution_count": 1, 6 | "id": "3d75d465", 7 | "metadata": {}, 8 | "outputs": [], 9 | "source": [ 10 | "#!git clone https://github.com/ultralytics/ultralytics" 11 | ] 12 | }, 13 | { 14 | "cell_type": "code", 15 | "execution_count": 2, 16 | "id": "c035a322", 17 | "metadata": {}, 18 | "outputs": [], 19 | "source": [ 20 | "cfg = 'yolov8x-seg_custom.yaml'" 21 | ] 22 | }, 23 | { 24 | "cell_type": "code", 25 | "execution_count": 3, 26 | "id": "58572442", 27 | "metadata": {}, 28 | "outputs": [], 29 | "source": [ 30 | "#Train from CLI\n", 31 | "\n", 32 | "#!yolo task=segment mode=train data=custom.yaml model=yolov8x-seg_custom.yaml epochs=10 imgsz=640" 33 | ] 34 | }, 35 | { 36 | "cell_type": "code", 37 | "execution_count": null, 38 | "id": "b066fb21", 39 | "metadata": {}, 40 | "outputs": [ 41 | { 42 | "name": "stderr", 43 | "output_type": "stream", 44 | "text": [ 45 | "\n", 46 | " from n params module arguments \n", 47 | " 0 -1 1 2320 ultralytics.nn.modules.Conv [3, 80, 3, 2] \n", 48 | " 1 -1 1 115520 ultralytics.nn.modules.Conv [80, 160, 3, 2] \n", 49 | " 2 -1 3 436800 ultralytics.nn.modules.C2f [160, 160, 3, True] \n", 50 | " 3 -1 1 461440 ultralytics.nn.modules.Conv [160, 320, 3, 2] \n", 51 | " 4 -1 6 3281920 ultralytics.nn.modules.C2f [320, 320, 6, True] \n", 52 | " 5 -1 1 1844480 ultralytics.nn.modules.Conv [320, 640, 3, 2] \n", 53 | " 6 -1 6 13117440 ultralytics.nn.modules.C2f [640, 640, 6, True] \n", 54 | " 7 -1 1 3687680 ultralytics.nn.modules.Conv [640, 640, 3, 2] \n", 55 | " 8 -1 3 6969600 ultralytics.nn.modules.C2f [640, 640, 3, True] \n", 56 | " 9 -1 1 1025920 ultralytics.nn.modules.SPPF [640, 640, 5] \n", 57 | " 10 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest'] \n", 58 | " 11 [-1, 6] 1 0 ultralytics.nn.modules.Concat [1] \n", 59 | " 12 -1 3 7379200 ultralytics.nn.modules.C2f [1280, 640, 3] \n", 60 | " 13 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest'] \n", 61 | " 14 [-1, 4] 1 0 ultralytics.nn.modules.Concat [1] \n", 62 | " 15 -1 3 1948800 ultralytics.nn.modules.C2f [960, 320, 3] \n", 63 | " 16 -1 1 922240 ultralytics.nn.modules.Conv [320, 320, 3, 2] \n", 64 | " 17 [-1, 12] 1 0 ultralytics.nn.modules.Concat [1] \n", 65 | " 18 -1 3 7174400 ultralytics.nn.modules.C2f [960, 640, 3] \n", 66 | " 19 -1 1 3687680 ultralytics.nn.modules.Conv [640, 640, 3, 2] \n", 67 | " 20 [-1, 9] 1 0 ultralytics.nn.modules.Concat [1] \n", 68 | " 21 -1 3 7379200 ultralytics.nn.modules.C2f [1280, 640, 3] \n", 69 | " 22 [15, 18, 21] 1 12318134 ultralytics.nn.modules.Segment [2, 32, 320, [320, 640, 640]] \n", 70 | "YOLOv8x-seg_custom summary: 401 layers, 71752774 parameters, 71752758 gradients, 344.5 GFLOPs\n", 71 | "\n", 72 | "\u001b[34m\u001b[1myolo\\engine\\trainer: \u001b[0mtask=segment, mode=train, model=None, data=custom_data.yaml, epochs=200, patience=50, batch=8, imgsz=640, save=True, cache=False, device=None, workers=1, project=None, name=None, exist_ok=False, pretrained=False, optimizer=SGD, verbose=False, seed=0, deterministic=True, single_cls=False, image_weights=False, rect=False, cos_lr=False, close_mosaic=10, resume=False, overlap_mask=True, mask_ratio=4, dropout=0.0, val=True, save_json=False, save_hybrid=False, conf=None, iou=0.7, max_det=300, half=False, dnn=False, plots=True, source=None, show=False, save_txt=False, save_conf=False, save_crop=False, hide_labels=False, hide_conf=False, vid_stride=1, line_thickness=3, visualize=False, augment=False, agnostic_nms=False, retina_masks=False, format=torchscript, keras=False, optimize=False, int8=False, dynamic=False, simplify=False, opset=17, workspace=4, nms=False, lr0=0.01, lrf=0.01, momentum=0.937, weight_decay=0.0005, warmup_epochs=3.0, warmup_momentum=0.8, warmup_bias_lr=0.1, box=7.5, cls=0.5, dfl=1.5, fl_gamma=0.0, label_smoothing=0.0, nbs=64, hsv_h=0.015, hsv_s=0.7, hsv_v=0.4, degrees=0.0, translate=0.1, scale=0.5, shear=0.0, perspective=0.0, flipud=0.0, fliplr=0.5, mosaic=1.0, mixup=0.0, copy_paste=0.0, hydra={'output_subdir': None, 'run': {'dir': '.'}}, v5loader=False, save_dir=runs\\segment\\train2\n", 73 | "Ultralytics YOLOv8.0.2 Python-3.9.10 torch-1.8.1+cu111 CUDA:0 (NVIDIA GeForce RTX 3090, 24576MiB)\n", 74 | "\n", 75 | " from n params module arguments \n", 76 | " 0 -1 1 2320 ultralytics.nn.modules.Conv [3, 80, 3, 2] \n", 77 | " 1 -1 1 115520 ultralytics.nn.modules.Conv [80, 160, 3, 2] \n", 78 | " 2 -1 3 436800 ultralytics.nn.modules.C2f [160, 160, 3, True] \n", 79 | " 3 -1 1 461440 ultralytics.nn.modules.Conv [160, 320, 3, 2] \n", 80 | " 4 -1 6 3281920 ultralytics.nn.modules.C2f [320, 320, 6, True] \n", 81 | " 5 -1 1 1844480 ultralytics.nn.modules.Conv [320, 640, 3, 2] \n", 82 | " 6 -1 6 13117440 ultralytics.nn.modules.C2f [640, 640, 6, True] \n", 83 | " 7 -1 1 3687680 ultralytics.nn.modules.Conv [640, 640, 3, 2] \n", 84 | " 8 -1 3 6969600 ultralytics.nn.modules.C2f [640, 640, 3, True] \n", 85 | " 9 -1 1 1025920 ultralytics.nn.modules.SPPF [640, 640, 5] \n", 86 | " 10 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest'] \n", 87 | " 11 [-1, 6] 1 0 ultralytics.nn.modules.Concat [1] \n", 88 | " 12 -1 3 7379200 ultralytics.nn.modules.C2f [1280, 640, 3] \n", 89 | " 13 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest'] \n", 90 | " 14 [-1, 4] 1 0 ultralytics.nn.modules.Concat [1] \n", 91 | " 15 -1 3 1948800 ultralytics.nn.modules.C2f [960, 320, 3] \n", 92 | " 16 -1 1 922240 ultralytics.nn.modules.Conv [320, 320, 3, 2] \n", 93 | " 17 [-1, 12] 1 0 ultralytics.nn.modules.Concat [1] \n", 94 | " 18 -1 3 7174400 ultralytics.nn.modules.C2f [960, 640, 3] \n", 95 | " 19 -1 1 3687680 ultralytics.nn.modules.Conv [640, 640, 3, 2] \n", 96 | " 20 [-1, 9] 1 0 ultralytics.nn.modules.Concat [1] \n", 97 | " 21 -1 3 7379200 ultralytics.nn.modules.C2f [1280, 640, 3] \n", 98 | " 22 [15, 18, 21] 1 12318134 ultralytics.nn.modules.Segment [2, 32, 320, [320, 640, 640]] \n", 99 | "YOLOv8x-seg_custom summary: 401 layers, 71752774 parameters, 71752758 gradients, 344.5 GFLOPs\n", 100 | "\n", 101 | "\u001b[34m\u001b[1moptimizer:\u001b[0m SGD(lr=0.01) with parameter groups 106 weight(decay=0.0), 117 weight(decay=0.0005), 116 bias\n", 102 | "\u001b[34m\u001b[1mtrain: \u001b[0mScanning D:\\yolov8_env\\yolov8_custom_image_segmentation\\custom_dataset\\train\\labels.cache... 80 images, 2 backgr\u001b[0m\n", 103 | "\u001b[34m\u001b[1mval: \u001b[0mScanning D:\\yolov8_env\\yolov8_custom_image_segmentation\\custom_dataset\\valid\\labels.cache... 10 images, 0 backgrou\u001b[0m\n", 104 | "Image sizes 640 train, 640 val\n", 105 | "Using 1 dataloader workers\n", 106 | "Logging results to \u001b[1mruns\\segment\\train2\u001b[0m\n", 107 | "Starting training for 200 epochs...\n", 108 | "\n", 109 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 110 | " 1/200 7.64G 3.104 10.99 3.794 4.263 14 640: 100%|██████████| 10/10 [00:07\n", 111 | "D:\\yolov8_env\\myvenv\\lib\\site-packages\\torch\\optim\\lr_scheduler.py:129: UserWarning: Detected call of `lr_scheduler.step()` before `optimizer.step()`. In PyTorch 1.1.0 and later, you should call them in the opposite order: `optimizer.step()` before `lr_scheduler.step()`. Failure to do this will result in PyTorch skipping the first value of the learning rate schedule. See more details at https://pytorch.org/docs/stable/optim.html#how-to-adjust-learning-rate\n", 112 | " warnings.warn(\"Detected call of `lr_scheduler.step()` before `optimizer.step()`. \"\n" 113 | ] 114 | }, 115 | { 116 | "name": "stderr", 117 | "output_type": "stream", 118 | "text": [ 119 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 120 | " all 10 10 0 0 0 0 0 0 0 0\n", 121 | "\n", 122 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 123 | " 2/200 8.34G 3.175 9.505 3.786 4.249 24 640: 100%|██████████| 10/10 [00:05\n", 124 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 125 | " all 10 10 0 0 0 0 0 0 0 0\n", 126 | "\n", 127 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 128 | " 3/200 8.34G 3.161 9.85 3.764 4.242 24 640: 100%|██████████| 10/10 [00:05\n", 129 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 130 | " all 10 10 0 0 0 0 0 0 0 0\n", 131 | "\n", 132 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 133 | " 4/200 8.34G 3.159 10.22 3.814 4.259 24 640: 100%|██████████| 10/10 [00:05\n", 134 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 135 | " all 10 10 0 0 0 0 0 0 0 0\n", 136 | "\n", 137 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 138 | " 5/200 8.34G 3.213 8.195 3.827 4.266 18 640: 100%|██████████| 10/10 [00:05\n", 139 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 140 | " all 10 10 0 0 0 0 0 0 0 0\n", 141 | "\n", 142 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 143 | " 6/200 8.34G 3.239 7.328 3.832 4.274 28 640: 100%|██████████| 10/10 [00:05\n", 144 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 145 | " all 10 10 0 0 0 0 0 0 0 0\n", 146 | "\n", 147 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 148 | " 7/200 8.34G 3.24 6.543 3.895 4.231 20 640: 100%|██████████| 10/10 [00:05\n", 149 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 150 | " all 10 10 0 0 0 0 0 0 0 0\n", 151 | "\n", 152 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 153 | " 8/200 8.35G 3.146 6.67 3.827 4.267 21 640: 100%|██████████| 10/10 [00:05\n", 154 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 155 | " all 10 10 0 0 0 0 0 0 0 0\n", 156 | "\n", 157 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 158 | " 9/200 8.35G 3.147 6.672 3.805 4.231 20 640: 100%|██████████| 10/10 [00:05\n", 159 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 160 | " all 10 10 0 0 0 0 0 0 0 0\n", 161 | "\n", 162 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 163 | " 10/200 8.35G 3.282 7.779 3.79 4.303 25 640: 100%|██████████| 10/10 [00:05\n", 164 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 165 | " all 10 10 0 0 0 0 0 0 0 0\n", 166 | "\n", 167 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 168 | " 11/200 8.35G 3.074 5.738 3.767 4.234 23 640: 100%|██████████| 10/10 [00:05\n", 169 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 170 | " all 10 10 0 0 0 0 0 0 0 0\n", 171 | "\n", 172 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 173 | " 12/200 8.35G 3.142 5.917 3.768 4.253 14 640: 100%|██████████| 10/10 [00:05\n", 174 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 175 | " all 10 10 0.00349 0.917 0.0333 0.00939 0.000499 0.0833 0.0208 0.00215\n", 176 | "\n", 177 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 178 | " 13/200 8.35G 3.126 5.901 3.811 4.235 28 640: 100%|██████████| 10/10 [00:05\n", 179 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 180 | " all 10 10 0.00773 0.0833 0.00689 0.00192 0.000445 0.0833 0.00105 0.000209\n", 181 | "\n", 182 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 183 | " 14/200 8.35G 3.33 6.365 3.817 4.205 27 640: 100%|██████████| 10/10 [00:05\n", 184 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 185 | " all 10 10 0.00773 0.0833 0.00689 0.00192 0.000445 0.0833 0.00105 0.000209\n", 186 | "\n", 187 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 188 | " 15/200 8.35G 3.313 5.695 3.795 4.256 17 640: 100%|██████████| 10/10 [00:05\n", 189 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 190 | " all 10 10 0.00773 0.0833 0.00689 0.00192 0.000445 0.0833 0.00105 0.000209\n", 191 | "\n", 192 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 193 | " 16/200 8.35G 3.122 5.441 3.793 4.21 24 640: 100%|██████████| 10/10 [00:05\n", 194 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 195 | " all 10 10 0.00271 0.833 0.0101 0.00244 0.0016 0.0833 0.000444 4.44e-05\n", 196 | "\n", 197 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 198 | " 17/200 8.35G 3.149 5.376 3.762 4.197 18 640: 100%|██████████| 10/10 [00:05\n", 199 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 200 | " all 10 10 0.00271 0.833 0.0101 0.00244 0.0016 0.0833 0.000444 4.44e-05\n", 201 | "\n", 202 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 203 | " 18/200 8.35G 3.064 5.81 3.776 4.202 21 640: 100%|██████████| 10/10 [00:05\n", 204 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 205 | " all 10 10 0.00301 0.792 0.00886 0.00313 0.00142 0.417 0.0027 0.00027\n", 206 | "\n", 207 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n" 208 | ] 209 | }, 210 | { 211 | "name": "stderr", 212 | "output_type": "stream", 213 | "text": [ 214 | " 19/200 8.35G 3.135 5.35 3.699 4.196 20 640: 100%|██████████| 10/10 [00:05\n", 215 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 216 | " all 10 10 0.00328 0.917 0.0134 0.00328 0.000977 0.333 0.00214 0.00031\n", 217 | "\n", 218 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 219 | " 20/200 8.35G 3.199 4.99 3.817 4.194 20 640: 100%|██████████| 10/10 [00:05\n", 220 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 221 | " all 10 10 0.00358 0.792 0.00613 0.00191 0.00243 0.625 0.00465 0.0012\n", 222 | "\n", 223 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 224 | " 21/200 8.35G 3.352 5.002 3.741 4.181 25 640: 100%|██████████| 10/10 [00:05\n", 225 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 226 | " all 10 10 0.00386 0.833 0.00743 0.0019 0.00289 0.625 0.00401 0.000952\n", 227 | "\n", 228 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 229 | " 22/200 8.35G 3.209 5.285 3.744 4.204 16 640: 100%|██████████| 10/10 [00:05\n", 230 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 231 | " all 10 10 0.0024 0.708 0.00639 0.00172 0.00202 0.625 0.00441 0.00105\n", 232 | "\n", 233 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 234 | " 23/200 8.35G 3.268 6.031 3.743 4.179 22 640: 100%|██████████| 10/10 [00:05\n", 235 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 236 | " all 10 10 0.00267 0.833 0.0185 0.00398 0.00166 0.542 0.00329 0.000794\n", 237 | "\n", 238 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 239 | " 24/200 8.35G 3.182 5.029 3.716 4.187 24 640: 100%|██████████| 10/10 [00:05\n", 240 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 241 | " all 10 10 0.00246 0.708 0.0185 0.00539 0.00206 0.625 0.00329 0.000802\n", 242 | "\n", 243 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 244 | " 25/200 8.35G 3.246 5.494 3.795 4.207 25 640: 100%|██████████| 10/10 [00:05\n", 245 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 246 | " all 10 10 0.00272 0.75 0.00591 0.00191 0.00189 0.542 0.0038 0.00104\n", 247 | "\n", 248 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 249 | " 26/200 8.35G 3.245 4.934 3.716 4.18 21 640: 100%|██████████| 10/10 [00:05\n", 250 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 251 | " all 10 10 0.00389 0.708 0.0386 0.00892 0.00307 0.625 0.0352 0.00432\n", 252 | "\n", 253 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 254 | " 27/200 8.35G 3.302 4.593 3.777 4.171 24 640: 100%|██████████| 10/10 [00:05\n", 255 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 256 | " all 10 10 0.00327 0.708 0.00828 0.0024 0.002 0.542 0.00437 0.00104\n", 257 | "\n", 258 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 259 | " 28/200 8.35G 3.14 4.964 3.756 4.175 25 640: 100%|██████████| 10/10 [00:05\n", 260 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 261 | " all 10 10 0.00323 0.708 0.0191 0.00361 0.00262 0.625 0.0143 0.00327\n", 262 | "\n", 263 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 264 | " 29/200 8.35G 3.233 4.551 3.762 4.158 28 640: 100%|██████████| 10/10 [00:05\n", 265 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 266 | " all 10 10 0.0037 0.833 0.0171 0.00345 0.00348 0.708 0.00742 0.00156\n", 267 | "\n", 268 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 269 | " 30/200 8.35G 3.213 4.575 4.078 4.172 21 640: 100%|██████████| 10/10 [00:05\n", 270 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 271 | " all 10 10 0.00209 0.625 0.00851 0.00262 0.00209 0.625 0.00843 0.00209\n", 272 | "\n", 273 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 274 | " 31/200 8.35G 3.162 4.067 3.743 4.165 18 640: 100%|██████████| 10/10 [00:05\n", 275 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 276 | " all 10 10 0.00316 0.75 0.0174 0.00425 0.00255 0.625 0.0136 0.00416\n", 277 | "\n", 278 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 279 | " 32/200 8.35G 3.08 3.782 3.701 4.161 21 640: 100%|██████████| 10/10 [00:05\n", 280 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 281 | " all 10 10 0.00328 0.75 0.0188 0.00521 0.00268 0.625 0.012 0.00285\n", 282 | "\n", 283 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 284 | " 33/200 8.35G 3.216 4.087 3.777 4.153 18 640: 100%|██████████| 10/10 [00:05\n", 285 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 286 | " all 10 10 0.00314 0.75 0.0205 0.00408 0.00219 0.542 0.00769 0.00193\n", 287 | "\n", 288 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 289 | " 34/200 8.35G 3.194 3.786 3.708 4.15 17 640: 100%|██████████| 10/10 [00:05\n", 290 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 291 | " all 10 10 0.00285 0.75 0.0216 0.00533 0.00322 0.708 0.0139 0.00238\n", 292 | "\n", 293 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 294 | " 35/200 8.35G 3.179 3.662 3.742 4.142 22 640: 100%|██████████| 10/10 [00:05\n", 295 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 296 | " all 10 10 0.00305 0.75 0.015 0.00401 0.00278 0.708 0.0149 0.00363\n", 297 | "\n", 298 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 299 | " 36/200 8.35G 3.114 4.018 3.678 4.128 22 640: 100%|██████████| 10/10 [00:05\n", 300 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 301 | " all 10 10 0.00347 0.75 0.0191 0.00487 0.0028 0.625 0.0125 0.00301\n" 302 | ] 303 | }, 304 | { 305 | "name": "stderr", 306 | "output_type": "stream", 307 | "text": [ 308 | "\n", 309 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 310 | " 37/200 8.35G 3.253 3.861 3.718 4.125 23 640: 100%|██████████| 10/10 [00:05\n", 311 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 312 | " all 10 10 0.00302 0.75 0.0279 0.00797 0.00277 0.625 0.013 0.00445\n", 313 | "\n", 314 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 315 | " 38/200 8.35G 3.178 3.721 3.73 4.131 17 640: 100%|██████████| 10/10 [00:05\n", 316 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 317 | " all 10 10 0.00267 0.75 0.0182 0.00494 0.00245 0.708 0.00851 0.00226\n", 318 | "\n", 319 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 320 | " 39/200 8.35G 3.204 3.334 3.721 4.12 21 640: 100%|██████████| 10/10 [00:05\n", 321 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 322 | " all 10 10 0.00288 0.75 0.024 0.00728 0.00236 0.625 0.00901 0.00223\n", 323 | "\n", 324 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 325 | " 40/200 8.35G 3.155 2.996 3.707 4.121 23 640: 100%|██████████| 10/10 [00:05\n", 326 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 327 | " all 10 10 0.00283 0.75 0.019 0.00626 0.00232 0.625 0.0156 0.00352\n", 328 | "\n", 329 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 330 | " 41/200 8.35G 3.281 3.139 3.72 4.12 25 640: 100%|██████████| 10/10 [00:05\n", 331 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 332 | " all 10 10 0.00287 0.75 0.0239 0.00878 0.00235 0.625 0.0162 0.00414\n", 333 | "\n", 334 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 335 | " 42/200 8.35G 3.328 3.113 3.699 4.115 17 640: 100%|██████████| 10/10 [00:05\n", 336 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 337 | " all 10 10 0.00296 0.75 0.091 0.0278 0.00268 0.708 0.0989 0.0167\n", 338 | "\n", 339 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 340 | " 43/200 8.35G 3.161 2.83 3.695 4.114 16 640: 100%|██████████| 10/10 [00:05\n", 341 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 342 | " all 10 10 0.00287 0.75 0.0535 0.0169 0.0026 0.708 0.0584 0.0124\n", 343 | "\n", 344 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 345 | " 44/200 8.35G 3.102 2.49 3.671 4.1 19 640: 100%|██████████| 10/10 [00:05\n", 346 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 347 | " all 10 10 0.00292 0.75 0.0438 0.0177 0.00213 0.542 0.0313 0.0146\n", 348 | "\n", 349 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 350 | " 45/200 8.35G 3.164 2.648 3.657 4.107 20 640: 100%|██████████| 10/10 [00:05\n", 351 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 352 | " all 10 10 0.00266 0.75 0.0158 0.00341 0.00172 0.5 0.0115 0.00316\n", 353 | "\n", 354 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 355 | " 46/200 8.35G 3.063 2.943 3.608 4.093 19 640: 100%|██████████| 10/10 [00:05\n", 356 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 357 | " all 10 10 0.00234 0.75 0.0223 0.00436 0.549 0.0833 0.108 0.019\n", 358 | "\n", 359 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 360 | " 47/200 8.35G 3.242 2.673 3.707 4.1 23 640: 100%|██████████| 10/10 [00:05\n", 361 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 362 | " all 10 10 0.555 0.0833 0.0581 0.00743 0.00231 0.625 0.00896 0.00209\n", 363 | "\n", 364 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 365 | " 48/200 8.35G 3.115 2.83 3.666 4.098 25 640: 100%|██████████| 10/10 [00:05\n", 366 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 367 | " all 10 10 0.648 0.0833 0.0598 0.00818 0.00246 0.625 0.0111 0.00288\n", 368 | "\n", 369 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 370 | " 49/200 8.35G 3.246 2.553 3.63 4.093 21 640: 100%|██████████| 10/10 [00:05\n", 371 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 372 | " all 10 10 0.219 0.0833 0.055 0.00733 0.00251 0.625 0.00755 0.002\n", 373 | "\n", 374 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 375 | " 50/200 8.35G 3.302 2.879 3.612 4.093 27 640: 100%|██████████| 10/10 [00:05\n", 376 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 377 | " all 10 10 0.00308 0.833 0.0237 0.00718 0.00336 0.792 0.0166 0.00851\n", 378 | "\n", 379 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 380 | " 51/200 8.35G 3.19 2.386 3.615 4.087 27 640: 100%|██████████| 10/10 [00:05\n", 381 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 382 | " all 10 10 0.00302 0.833 0.0258 0.00713 0.00328 0.792 0.0189 0.00888\n", 383 | "\n", 384 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 385 | " 52/200 8.35G 3.245 2.619 3.652 4.082 22 640: 100%|██████████| 10/10 [00:05\n", 386 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 387 | " all 10 10 0.00263 0.708 0.0182 0.00838 0.00282 0.667 0.0436 0.0219\n", 388 | "\n", 389 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 390 | " 53/200 8.35G 3.235 2.63 3.626 4.074 29 640: 100%|██████████| 10/10 [00:05\n", 391 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 392 | " all 10 10 0.00241 0.625 0.0145 0.0052 0.00217 0.5 0.00864 0.00355\n", 393 | "\n", 394 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 395 | " 54/200 8.35G 3.198 2.535 3.561 4.066 28 640: 100%|██████████| 10/10 [00:05\n", 396 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 397 | " all 10 10 0.00233 0.625 0.0173 0.00513 0.00209 0.5 0.00875 0.00329\n", 398 | "\n", 399 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 400 | " 55/200 8.35G 3.155 2.384 3.435 4.069 20 640: 100%|██████████| 10/10 [00:05\n", 401 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 402 | " all 10 10 0.00239 0.708 0.0585 0.0259 0.00276 0.792 0.196 0.1\n", 403 | "\n", 404 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 405 | " 56/200 8.35G 3.098 2.314 3.456 4.041 21 640: 100%|██████████| 10/10 [00:05\n", 406 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 407 | " all 10 10 0.0269 0.0833 0.0951 0.0266 0.0269 0.0833 0.108 0.0435\n", 408 | "\n", 409 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 410 | " 57/200 8.35G 3.242 2.286 3.403 4.028 22 640: 100%|██████████| 10/10 [00:05\n", 411 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 412 | " all 10 10 0.000733 0.375 0.0388 0.0136 0.000489 0.25 0.0384 0.0135\n", 413 | "\n", 414 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 415 | " 58/200 8.35G 3.106 2.282 3.544 4.028 23 640: 100%|██████████| 10/10 [00:05\n", 416 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 417 | " all 10 10 0.338 0.208 0.0929 0.0244 0.338 0.208 0.0929 0.0155\n", 418 | "\n", 419 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 420 | " 59/200 8.35G 3.018 2.042 3.443 3.972 23 640: 100%|██████████| 10/10 [00:05\n", 421 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 422 | " all 10 10 0.00514 0.542 0.0057 0.00167 0.00424 0.417 0.00556 0.00146\n", 423 | "\n", 424 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 425 | " 60/200 8.35G 3.143 2.085 3.442 3.971 19 640: 100%|██████████| 10/10 [00:05\n", 426 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 427 | " all 10 10 0.00627 0.417 0.00578 0.0016 0.00627 0.417 0.00573 0.0013\n", 428 | "\n", 429 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 430 | " 61/200 8.35G 3.144 2.136 3.382 3.974 15 640: 100%|██████████| 10/10 [00:05\n", 431 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 432 | " all 10 10 0.0102 0.25 0.0099 0.00227 0.0102 0.25 0.00979 0.00217\n", 433 | "\n", 434 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 435 | " 62/200 8.35G 3.156 2.27 3.392 3.957 24 640: 100%|██████████| 10/10 [00:05\n", 436 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 437 | " all 10 10 0.00945 0.375 0.0207 0.00442 0.00991 0.417 0.0209 0.00489\n", 438 | "\n", 439 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 440 | " 63/200 8.35G 3.155 2.075 3.327 3.91 29 640: 100%|██████████| 10/10 [00:05\n", 441 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 442 | " all 10 10 0.00643 0.375 0.0156 0.00347 0.00523 0.292 0.0144 0.00313\n", 443 | "\n", 444 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 445 | " 64/200 8.35G 3.008 2.274 3.357 3.929 21 640: 100%|██████████| 10/10 [00:05\n", 446 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 447 | " all 10 10 0.0162 0.292 0.0194 0.00397 0.0139 0.417 0.0151 0.00332\n", 448 | "\n", 449 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 450 | " 65/200 8.35G 3.255 2.235 3.397 3.905 23 640: 100%|██████████| 10/10 [00:05\n", 451 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 452 | " all 10 10 0.503 0.167 0.0231 0.00476 0.00473 0.5 0.0203 0.00432\n", 453 | "\n", 454 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 455 | " 66/200 8.35G 3.052 2.214 3.364 3.846 21 640: 100%|██████████| 10/10 [00:05\n", 456 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 457 | " all 10 10 0.0108 0.292 0.0259 0.0048 0.0184 0.458 0.0564 0.0219\n", 458 | "\n", 459 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 460 | " 67/200 8.35G 3.074 2.006 3.374 3.825 22 640: 100%|██████████| 10/10 [00:05\n", 461 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 462 | " all 10 10 0.0142 0.417 0.0227 0.00387 0.00825 0.333 0.0154 0.00215\n", 463 | "\n", 464 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 465 | " 68/200 8.35G 3.173 1.963 3.342 3.814 17 640: 100%|██████████| 10/10 [00:05\n", 466 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 467 | " all 10 10 0.502 0.25 0.0812 0.0125 0.502 0.25 0.0728 0.0107\n", 468 | "\n", 469 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 470 | " 69/200 8.35G 3.087 1.899 3.344 3.809 19 640: 100%|██████████| 10/10 [00:05\n", 471 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 472 | " all 10 10 0.00443 0.417 0.0443 0.00695 0.00534 0.542 0.0457 0.0101\n", 473 | "\n", 474 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 475 | " 70/200 8.35G 3.12 2.015 3.322 3.843 20 640: 100%|██████████| 10/10 [00:05\n", 476 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 477 | " all 10 10 0.0218 0.208 0.146 0.0197 0.0385 0.375 0.104 0.0232\n", 478 | "\n", 479 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 480 | " 71/200 8.35G 3.199 2.02 3.302 3.794 20 640: 100%|██████████| 10/10 [00:05\n", 481 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 482 | " all 10 10 0.0213 0.208 0.141 0.0174 0.04 0.458 0.163 0.0259\n", 483 | "\n", 484 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n" 485 | ] 486 | }, 487 | { 488 | "name": "stderr", 489 | "output_type": "stream", 490 | "text": [ 491 | " 72/200 8.35G 3.202 1.795 3.355 3.818 18 640: 100%|██████████| 10/10 [00:05\n", 492 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 493 | " all 10 10 0.513 0.0833 0.139 0.0169 0.152 0.375 0.163 0.0267\n", 494 | "\n", 495 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 496 | " 73/200 8.35G 3.104 1.742 3.366 3.787 15 640: 100%|██████████| 10/10 [00:05\n", 497 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 498 | " all 10 10 0.529 0.0833 0.168 0.0391 0.586 0.25 0.161 0.0667\n", 499 | "\n", 500 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 501 | " 74/200 8.35G 3.146 2.162 3.219 3.774 29 640: 100%|██████████| 10/10 [00:05\n", 502 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 503 | " all 10 10 0.0227 0.458 0.0811 0.011 0.0305 0.625 0.153 0.0224\n", 504 | "\n", 505 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 506 | " 75/200 8.35G 3.046 1.838 3.254 3.715 21 640: 100%|██████████| 10/10 [00:05\n", 507 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 508 | " all 10 10 0.00602 0.25 0.0905 0.0273 0.00602 0.25 0.0943 0.0438\n", 509 | "\n", 510 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 511 | " 76/200 8.35G 3.134 1.684 3.26 3.699 24 640: 100%|██████████| 10/10 [00:05\n", 512 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 513 | " all 10 10 0.00791 0.583 0.0285 0.0089 0.00648 0.5 0.0248 0.00964\n", 514 | "\n", 515 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 516 | " 77/200 8.35G 3.154 1.907 3.354 3.761 19 640: 100%|██████████| 10/10 [00:05\n", 517 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 518 | " all 10 10 0.00706 0.5 0.0907 0.0264 0.0056 0.417 0.0878 0.0422\n", 519 | "\n", 520 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 521 | " 78/200 8.35G 3.142 1.843 3.327 3.733 24 640: 100%|██████████| 10/10 [00:05\n", 522 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 523 | " all 10 10 0.004 0.25 0.0494 0.00934 0.004 0.25 0.0527 0.00963\n", 524 | "\n", 525 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 526 | " 79/200 8.35G 3.147 1.703 3.299 3.724 20 640: 100%|██████████| 10/10 [00:05\n", 527 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 528 | " all 10 10 0.00718 0.583 0.0142 0.00356 0.00484 0.375 0.00819 0.00229\n", 529 | "\n", 530 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 531 | " 80/200 8.35G 3.021 1.851 3.333 3.692 23 640: 100%|██████████| 10/10 [00:05\n", 532 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 533 | " all 10 10 0.00835 0.583 0.0284 0.00666 0.00681 0.5 0.0222 0.00762\n", 534 | "\n", 535 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 536 | " 81/200 8.35G 3.078 1.844 3.318 3.705 22 640: 100%|██████████| 10/10 [00:05\n", 537 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 538 | " all 10 10 0.00737 0.583 0.0161 0.00355 0.00607 0.5 0.0125 0.00331\n", 539 | "\n", 540 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 541 | " 82/200 8.35G 3.082 2.013 3.28 3.665 23 640: 100%|██████████| 10/10 [00:05\n", 542 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 543 | " all 10 10 0.0082 0.583 0.0166 0.00369 0.00646 0.5 0.0137 0.00314\n", 544 | "\n", 545 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 546 | " 83/200 8.35G 3.038 1.522 3.308 3.626 18 640: 100%|██████████| 10/10 [00:05\n", 547 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 548 | " all 10 10 0.00877 0.5 0.0159 0.0033 0.505 0.25 0.0167 0.00341\n", 549 | "\n", 550 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 551 | " 84/200 8.35G 3.112 1.571 3.34 3.686 24 640: 100%|██████████| 10/10 [00:05\n", 552 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 553 | " all 10 10 0.00985 0.625 0.0106 0.0023 0.00795 0.5 0.00894 0.00207\n", 554 | "\n", 555 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 556 | " 85/200 8.35G 2.972 1.784 3.281 3.63 23 640: 100%|██████████| 10/10 [00:05\n", 557 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 558 | " all 10 10 0.0034 0.708 0.00992 0.002 0.00318 0.583 0.00793 0.00163\n", 559 | "\n", 560 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 561 | " 86/200 8.35G 3.1 1.678 3.382 3.655 17 640: 100%|██████████| 10/10 [00:05\n", 562 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 563 | " all 10 10 0.00249 0.625 0.0088 0.00226 0.00226 0.5 0.00702 0.00196\n", 564 | "\n", 565 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 566 | " 87/200 8.35G 3.158 1.548 3.296 3.662 24 640: 100%|██████████| 10/10 [00:05\n", 567 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 568 | " all 10 10 0.00257 0.625 0.00605 0.00154 0.00234 0.5 0.00403 0.00112\n", 569 | "\n", 570 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 571 | " 88/200 8.35G 3.09 1.41 3.299 3.606 24 640: 100%|██████████| 10/10 [00:05\n", 572 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 573 | " all 10 10 0.0521 0.375 0.0644 0.0134 0.567 0.375 0.105 0.0183\n", 574 | "\n", 575 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 576 | " 89/200 8.35G 3.022 1.397 3.283 3.629 26 640: 100%|██████████| 10/10 [00:05\n", 577 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 578 | " all 10 10 0.151 0.417 0.246 0.0564 0.151 0.417 0.265 0.148\n" 579 | ] 580 | }, 581 | { 582 | "name": "stderr", 583 | "output_type": "stream", 584 | "text": [ 585 | "\n", 586 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 587 | " 90/200 8.35G 3.13 1.613 3.374 3.591 16 640: 100%|██████████| 10/10 [00:06\n", 588 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 589 | " all 10 10 0.43 0.208 0.238 0.0694 0.43 0.208 0.232 0.124\n", 590 | "\n", 591 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 592 | " 91/200 8.35G 3.079 1.81 3.371 3.636 21 640: 100%|██████████| 10/10 [00:05\n", 593 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 594 | " all 10 10 0.149 0.333 0.236 0.0762 0.149 0.333 0.238 0.144\n", 595 | "\n", 596 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 597 | " 92/200 8.35G 2.996 1.419 3.349 3.548 17 640: 100%|██████████| 10/10 [00:05\n", 598 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 599 | " all 10 10 0.377 0.208 0.239 0.0952 0.377 0.208 0.266 0.154\n", 600 | "\n", 601 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 602 | " 93/200 8.35G 3.001 1.632 3.298 3.572 25 640: 100%|██████████| 10/10 [00:05\n", 603 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 604 | " all 10 10 0.129 0.333 0.14 0.0568 0.129 0.333 0.139 0.0722\n", 605 | "\n", 606 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 607 | " 94/200 8.35G 2.933 1.761 3.275 3.515 22 640: 100%|██████████| 10/10 [00:05\n", 608 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 609 | " all 10 10 0.228 0.583 0.276 0.0775 0.258 0.5 0.286 0.163\n", 610 | "\n", 611 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 612 | " 95/200 8.35G 2.97 1.415 3.164 3.444 24 640: 100%|██████████| 10/10 [00:05\n", 613 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 614 | " all 10 10 0.182 0.355 0.154 0.0376 0.182 0.355 0.154 0.0606\n", 615 | "\n", 616 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 617 | " 96/200 8.35G 3.045 1.483 3.283 3.452 24 640: 100%|██████████| 10/10 [00:05\n", 618 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 619 | " all 10 10 0.00143 0.167 0.00148 0.000502 0.00143 0.167 0.00148 0.00045\n", 620 | "\n", 621 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 622 | " 97/200 8.35G 2.99 1.358 3.291 3.46 24 640: 100%|██████████| 10/10 [00:05\n", 623 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 624 | " all 10 10 0.138 0.583 0.247 0.0554 0.113 0.5 0.214 0.0625\n", 625 | "\n", 626 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 627 | " 98/200 8.35G 2.92 1.738 3.215 3.401 19 640: 100%|██████████| 10/10 [00:05\n", 628 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 629 | " all 10 10 0.00722 0.5 0.0201 0.00538 0.00632 0.5 0.0164 0.00345\n", 630 | "\n", 631 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 632 | " 99/200 8.35G 2.943 1.656 3.18 3.408 24 640: 100%|██████████| 10/10 [00:05\n", 633 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 634 | " all 10 10 0.0126 0.583 0.0164 0.00397 0.00503 0.375 0.00849 0.0025\n", 635 | "\n", 636 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 637 | " 100/200 8.35G 2.873 1.458 3.269 3.43 23 640: 100%|██████████| 10/10 [00:05\n", 638 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 639 | " all 10 10 0.0144 0.75 0.0191 0.00575 0.012 0.667 0.0131 0.00327\n", 640 | "\n", 641 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 642 | " 101/200 8.35G 2.832 1.444 3.18 3.387 21 640: 100%|██████████| 10/10 [00:05\n", 643 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 644 | " all 10 10 0.19 0.5 0.327 0.0992 0.19 0.5 0.307 0.12\n", 645 | "\n", 646 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 647 | " 102/200 8.35G 2.757 1.501 3.198 3.312 22 640: 100%|██████████| 10/10 [00:05\n", 648 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 649 | " all 10 10 0.46 0.208 0.224 0.0971 0.56 0.208 0.304 0.147\n", 650 | "\n", 651 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 652 | " 103/200 8.35G 2.862 1.491 3.076 3.309 27 640: 100%|██████████| 10/10 [00:05\n", 653 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 654 | " all 10 10 0.00638 0.75 0.0539 0.0101 0.00274 0.708 0.0396 0.00757\n", 655 | "\n", 656 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 657 | " 104/200 8.35G 2.855 1.338 3.143 3.294 16 640: 100%|██████████| 10/10 [00:05\n", 658 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 659 | " all 10 10 0.00376 0.708 0.0252 0.00639 0.0022 0.542 0.0193 0.00446\n", 660 | "\n", 661 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 662 | " 105/200 8.35G 2.923 1.504 3.099 3.311 22 640: 100%|██████████| 10/10 [00:05\n", 663 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 664 | " all 10 10 0.0139 0.5 0.02 0.0047 0.0104 0.375 0.0126 0.00314\n", 665 | "\n", 666 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 667 | " 106/200 8.35G 2.844 1.595 3.158 3.314 28 640: 100%|██████████| 10/10 [00:05\n", 668 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 669 | " all 10 10 0.618 0.279 0.382 0.153 0.618 0.279 0.374 0.175\n", 670 | "\n", 671 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 672 | " 107/200 8.35G 2.77 1.804 3.08 3.275 22 640: 100%|██████████| 10/10 [00:05\n", 673 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 674 | " all 10 10 0.324 0.261 0.274 0.0874 0.562 0.417 0.4 0.164\n", 675 | "\n", 676 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 677 | " 108/200 8.35G 2.776 1.469 3.024 3.258 19 640: 100%|██████████| 10/10 [00:05\n", 678 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 679 | " all 10 10 0.227 0.333 0.273 0.0775 0.227 0.333 0.276 0.0965\n", 680 | "\n", 681 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 682 | " 109/200 8.35G 2.703 1.488 3.166 3.313 15 640: 100%|██████████| 10/10 [00:05\n", 683 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 684 | " all 10 10 0.294 0.292 0.31 0.0791 0.411 0.375 0.439 0.15\n", 685 | "\n", 686 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 687 | " 110/200 8.35G 2.729 1.524 3.124 3.238 22 640: 100%|██████████| 10/10 [00:05\n", 688 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 689 | " all 10 10 0.224 0.292 0.273 0.1 0.623 0.253 0.392 0.148\n", 690 | "\n", 691 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 692 | " 111/200 8.35G 2.784 1.448 3.016 3.185 25 640: 100%|██████████| 10/10 [00:06\n", 693 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 694 | " all 10 10 0.0227 0.583 0.0331 0.00611 0.012 0.375 0.0162 0.00316\n", 695 | "\n", 696 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 697 | " 112/200 8.35G 2.733 1.874 2.957 3.172 23 640: 100%|██████████| 10/10 [00:05\n", 698 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 699 | " all 10 10 0.015 0.375 0.0217 0.00489 0.0153 0.458 0.0159 0.00349\n", 700 | "\n", 701 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 702 | " 113/200 8.35G 2.599 1.492 2.914 3.107 22 640: 100%|██████████| 10/10 [00:05\n", 703 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 704 | " all 10 10 0.0151 0.5 0.0441 0.00748 0.0111 0.375 0.0253 0.00445\n", 705 | "\n", 706 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 707 | " 114/200 8.35G 2.659 1.548 2.996 3.176 22 640: 100%|██████████| 10/10 [00:06\n", 708 | " Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP\n", 709 | " all 10 10 0.0646 0.253 0.0767 0.0312 0.0646 0.253 0.0766 0.0344\n", 710 | "\n", 711 | " Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n", 712 | " 115/200 8.35G 2.621 1.864 3.075 3.093 23 640: 50%|█████ | 5/10 [00:04<" 713 | ] 714 | } 715 | ], 716 | "source": [ 717 | "from ultralytics import YOLO\n", 718 | "\n", 719 | "# Load a model\n", 720 | "model = YOLO(\"yolov8x-seg_custom.yaml\") # build a new model from scratch\n", 721 | "\n", 722 | "#model = YOLO(\"yolov8n-seg.pt\") # load a pretrained model (recommended for training)\n", 723 | "\n", 724 | "# Use the model\n", 725 | "results = model.train(data=\"custom_data.yaml\", epochs=200, workers=1, batch=8,imgsz=640) # train the model" 726 | ] 727 | }, 728 | { 729 | "cell_type": "code", 730 | "execution_count": 7, 731 | "id": "41f92624", 732 | "metadata": {}, 733 | "outputs": [], 734 | "source": [ 735 | "# resume training\n", 736 | "# from ultralytics import YOLO\n", 737 | "\n", 738 | "# model = YOLO()\n", 739 | "# model.resume(task=\"segment\") # resume last detection training\n", 740 | "# model.resume(model=\"runs\\segment\\train\\weights\\last.pt\") # resume from a given model/run" 741 | ] 742 | }, 743 | { 744 | "cell_type": "code", 745 | "execution_count": 5, 746 | "id": "4b535395", 747 | "metadata": {}, 748 | "outputs": [ 749 | { 750 | "name": "stderr", 751 | "output_type": "stream", 752 | "text": [ 753 | "Ultralytics YOLOv8.0.2 Python-3.9.10 torch-1.8.1+cu111 CUDA:0 (NVIDIA GeForce RTX 3090, 24576MiB)\n", 754 | "Fusing layers... \n", 755 | "YOLOv8x-seg_custom summary: 295 layers, 71722582 parameters, 0 gradients, 343.7 GFLOPs\n", 756 | "image 1/6 D:\\yolov8_env\\youtube_demo_image_segmentation\\test_data\\1 (1).jpg: 640x640 1 keyboard, 47.0ms\n", 757 | "image 2/6 D:\\yolov8_env\\youtube_demo_image_segmentation\\test_data\\1 (2).jpg: 640x640 2 keyboards, 32.0ms\n", 758 | "image 3/6 D:\\yolov8_env\\youtube_demo_image_segmentation\\test_data\\1 (3).jpg: 640x640 1 mouse, 42.0ms\n", 759 | "image 4/6 D:\\yolov8_env\\youtube_demo_image_segmentation\\test_data\\1 (4).jpg: 640x640 1 mouse, 28.0ms\n", 760 | "video 5/6 (1/415) D:\\yolov8_env\\youtube_demo_image_segmentation\\test_data\\Keyboard - 1046.mp4: 384x640 32.0ms\n", 761 | "video 5/6 (2/415) D:\\yolov8_env\\youtube_demo_image_segmentation\\test_data\\Keyboard - 1046.mp4: 384x640 26.0ms\n", 762 | "video 5/6 (3/415) D:\\yolov8_env\\youtube_demo_image_segmentation\\test_data\\Keyboard - 1046.mp4: 384x640 26.0ms\n", 763 | "video 5/6 (4/415) D:\\yolov8_env\\youtube_demo_image_segmentation\\test_data\\Keyboard - 1046.mp4: 384x640 29.0ms\n", 764 | "video 5/6 (5/415) D:\\yolov8_env\\youtube_demo_image_segmentation\\test_data\\Keyboard - 1046.mp4: 384x640 26.0ms\n", 765 | "video 5/6 (6/415) D:\\yolov8_env\\youtube_demo_image_segmentation\\test_data\\Keyboard - 1046.mp4: 384x640 26.0ms\n", 766 | "video 5/6 (7/415) D:\\yolov8_env\\youtube_demo_image_segmentation\\test_data\\Keyboard - 1046.mp4: 384x640 26.0ms\n", 767 | "video 5/6 (8/415) D:\\yolov8_env\\youtube_demo_image_segmentation\\test_data\\Keyboard - 1046.mp4: 384x640 26.0ms\n", 768 | "video 5/6 (9/415) D:\\yolov8_env\\youtube_demo_image_segmentation\\test_data\\Keyboard - 1046.mp4: 384x640 27.0ms\n", 769 | "video 5/6 (10/415) D:\\yolov8_env\\youtube_demo_image_segmentation\\test_data\\Keyboard - 1046.mp4: 384x640 32.0ms\n", 770 | "video 5/6 (11/415) D:\\yolov8_env\\youtube_demo_image_segmentation\\test_data\\Keyboard - 1046.mp4: 384x640 1 keyboard, 27.0ms\n", 771 | "video 5/6 (12/415) D:\\yolov8_env\\youtube_demo_image_segmentation\\test_data\\Keyboard - 1046.mp4: 384x640 1 keyboard, 26.0ms\n", 772 | "video 5/6 (13/415) D:\\yolov8_env\\youtube_demo_image_segmentation\\test_data\\Keyboard - 1046.mp4: 384x640 1 keyboard, 26.0ms\n", 773 | "video 5/6 (14/415) D:\\yolov8_env\\youtube_demo_image_segmentation\\test_data\\Keyboard - 1046.mp4: 384x640 1 keyboard, 26.0ms\n", 774 | "video 5/6 (15/415) D:\\yolov8_env\\youtube_demo_image_segmentation\\test_data\\Keyboard - 1046.mp4: 384x640 1 keyboard, 34.0ms\n", 775 | "video 5/6 (16/415) D:\\yolov8_env\\youtube_demo_image_segmentation\\test_data\\Keyboard - 1046.mp4: 384x640 1 keyboard, 27.0ms\n", 776 | "video 5/6 (17/415) D:\\yolov8_env\\youtube_demo_image_segmentation\\test_data\\Keyboard - 1046.mp4: 384x640 1 keyboard, 25.0ms\n", 777 | "video 5/6 (18/415) D:\\yolov8_env\\youtube_demo_image_segmentation\\test_data\\Keyboard - 1046.mp4: 384x640 1 keyboard, 26.0ms\n", 778 | "video 5/6 (19/415) D:\\yolov8_env\\youtube_demo_image_segmentation\\test_data\\Keyboard - 1046.mp4: 384x640 26.0ms\n", 779 | "video 5/6 (20/415) D:\\yolov8_env\\youtube_demo_image_segmentation\\test_data\\Keyboard - 1046.mp4: 384x640 41.0ms\n", 780 | "video 5/6 (21/415) D:\\yolov8_env\\youtube_demo_image_segmentation\\test_data\\Keyboard - 1046.mp4: 384x640 26.0ms\n", 781 | "video 5/6 (22/415) D:\\yolov8_env\\youtube_demo_image_segmentation\\test_data\\Keyboard - 1046.mp4: 384x640 21.0ms\n", 782 | "video 5/6 (23/415) D:\\yolov8_env\\youtube_demo_image_segmentation\\test_data\\Keyboard - 1046.mp4: 384x640 21.0ms\n", 783 | "video 5/6 (24/415) D:\\yolov8_env\\youtube_demo_image_segmentation\\test_data\\Keyboard - 1046.mp4: 384x640 21.0ms\n", 784 | "video 5/6 (25/415) D:\\yolov8_env\\youtube_demo_image_segmentation\\test_data\\Keyboard - 1046.mp4: 384x640 21.0ms\n", 785 | "video 5/6 (26/415) D:\\yolov8_env\\youtube_demo_image_segmentation\\test_data\\Keyboard - 1046.mp4: 384x640 20.0ms\n", 786 | "video 5/6 (27/415) D:\\yolov8_env\\youtube_demo_image_segmentation\\test_data\\Keyboard - 1046.mp4: 384x640 33.0ms\n", 787 | "video 5/6 (28/415) D:\\yolov8_env\\youtube_demo_image_segmentation\\test_data\\Keyboard - 1046.mp4: 384x640 21.0ms\n", 788 | "video 5/6 (29/415) D:\\yolov8_env\\youtube_demo_image_segmentation\\test_data\\Keyboard - 1046.mp4: 384x640 20.0ms\n", 789 | "video 5/6 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1284 | "video 6/6 (110/376) D:\\yolov8_env\\youtube_demo_image_segmentation\\test_data\\Mouse - 126017.mp4: 384x640 27.0ms\n", 1285 | "video 6/6 (111/376) D:\\yolov8_env\\youtube_demo_image_segmentation\\test_data\\Mouse - 126017.mp4: 384x640 21.0ms\n", 1286 | "video 6/6 (112/376) D:\\yolov8_env\\youtube_demo_image_segmentation\\test_data\\Mouse - 126017.mp4: 384x640 21.2ms\n", 1287 | "video 6/6 (113/376) D:\\yolov8_env\\youtube_demo_image_segmentation\\test_data\\Mouse - 126017.mp4: 384x640 20.0ms\n", 1288 | "video 6/6 (114/376) D:\\yolov8_env\\youtube_demo_image_segmentation\\test_data\\Mouse - 126017.mp4: 384x640 21.0ms\n", 1289 | "video 6/6 (115/376) D:\\yolov8_env\\youtube_demo_image_segmentation\\test_data\\Mouse - 126017.mp4: 384x640 30.0ms\n", 1290 | "video 6/6 (116/376) D:\\yolov8_env\\youtube_demo_image_segmentation\\test_data\\Mouse - 126017.mp4: 384x640 21.0ms\n", 1291 | "video 6/6 (117/376) D:\\yolov8_env\\youtube_demo_image_segmentation\\test_data\\Mouse - 126017.mp4: 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21.0ms\n", 1532 | "video 6/6 (358/376) D:\\yolov8_env\\youtube_demo_image_segmentation\\test_data\\Mouse - 126017.mp4: 384x640 20.0ms\n", 1533 | "video 6/6 (359/376) D:\\yolov8_env\\youtube_demo_image_segmentation\\test_data\\Mouse - 126017.mp4: 384x640 34.0ms\n", 1534 | "video 6/6 (360/376) D:\\yolov8_env\\youtube_demo_image_segmentation\\test_data\\Mouse - 126017.mp4: 384x640 21.0ms\n", 1535 | "video 6/6 (361/376) D:\\yolov8_env\\youtube_demo_image_segmentation\\test_data\\Mouse - 126017.mp4: 384x640 21.0ms\n", 1536 | "video 6/6 (362/376) D:\\yolov8_env\\youtube_demo_image_segmentation\\test_data\\Mouse - 126017.mp4: 384x640 21.0ms\n", 1537 | "video 6/6 (363/376) D:\\yolov8_env\\youtube_demo_image_segmentation\\test_data\\Mouse - 126017.mp4: 384x640 20.0ms\n", 1538 | "video 6/6 (364/376) D:\\yolov8_env\\youtube_demo_image_segmentation\\test_data\\Mouse - 126017.mp4: 384x640 33.0ms\n", 1539 | "video 6/6 (365/376) D:\\yolov8_env\\youtube_demo_image_segmentation\\test_data\\Mouse - 126017.mp4: 384x640 20.0ms\n", 1540 | "video 6/6 (366/376) D:\\yolov8_env\\youtube_demo_image_segmentation\\test_data\\Mouse - 126017.mp4: 384x640 20.5ms\n", 1541 | "video 6/6 (367/376) D:\\yolov8_env\\youtube_demo_image_segmentation\\test_data\\Mouse - 126017.mp4: 384x640 39.0ms\n", 1542 | "video 6/6 (368/376) D:\\yolov8_env\\youtube_demo_image_segmentation\\test_data\\Mouse - 126017.mp4: 384x640 21.0ms\n", 1543 | "video 6/6 (369/376) D:\\yolov8_env\\youtube_demo_image_segmentation\\test_data\\Mouse - 126017.mp4: 384x640 36.0ms\n", 1544 | "video 6/6 (370/376) D:\\yolov8_env\\youtube_demo_image_segmentation\\test_data\\Mouse - 126017.mp4: 384x640 20.0ms\n", 1545 | "video 6/6 (371/376) D:\\yolov8_env\\youtube_demo_image_segmentation\\test_data\\Mouse - 126017.mp4: 384x640 21.0ms\n", 1546 | "video 6/6 (372/376) D:\\yolov8_env\\youtube_demo_image_segmentation\\test_data\\Mouse - 126017.mp4: 384x640 23.0ms\n", 1547 | "video 6/6 (373/376) D:\\yolov8_env\\youtube_demo_image_segmentation\\test_data\\Mouse - 126017.mp4: 384x640 21.0ms\n", 1548 | "video 6/6 (374/376) D:\\yolov8_env\\youtube_demo_image_segmentation\\test_data\\Mouse - 126017.mp4: 384x640 34.0ms\n", 1549 | "video 6/6 (375/376) D:\\yolov8_env\\youtube_demo_image_segmentation\\test_data\\Mouse - 126017.mp4: 384x640 20.0ms\n", 1550 | "video 6/6 (376/376) D:\\yolov8_env\\youtube_demo_image_segmentation\\test_data\\Mouse - 126017.mp4: 384x640 20.0ms\n", 1551 | "Speed: 0.3ms pre-process, 22.7ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640)\n", 1552 | "Results saved to \u001b[1mruns\\segment\\predict2\u001b[0m\n" 1553 | ] 1554 | } 1555 | ], 1556 | "source": [ 1557 | "#Predictions\n", 1558 | "!yolo task=segment mode=predict model=runs/segment/train/weights/best.pt source=\"test_data\"" 1559 | ] 1560 | }, 1561 | { 1562 | "cell_type": "code", 1563 | "execution_count": 6, 1564 | "id": "75729eeb", 1565 | "metadata": {}, 1566 | "outputs": [], 1567 | "source": [ 1568 | "#!yolo task=segment mode=predict model=runs/segment/train/weights/best.pt source=\"test_data/1 (1).jpg\"\n", 1569 | "\n", 1570 | "#!yolo task=segment mode=predict model=runs/segment/train/weights/best.pt source=\"test_data/Keyboard.mp4\"\n", 1571 | "\n", 1572 | "#!yolo task=segment mode=predict model=runs/segment/train/weights/best.pt source=0\n" 1573 | ] 1574 | }, 1575 | { 1576 | "cell_type": "code", 1577 | "execution_count": 1, 1578 | "id": "ee349f92", 1579 | "metadata": {}, 1580 | "outputs": [ 1581 | { 1582 | "name": "stderr", 1583 | "output_type": "stream", 1584 | "text": [ 1585 | "Ultralytics YOLOv8.0.2 Python-3.9.10 torch-1.8.1+cu111 CUDA:0 (NVIDIA GeForce RTX 3090, 24576MiB)\n", 1586 | "Fusing layers... \n", 1587 | "YOLOv8x-seg_custom summary: 295 layers, 71721619 parameters, 0 gradients, 343.7 GFLOPs\n", 1588 | "image 1/7 D:\\yolov8_env\\yolov8_custom_image_segmentation\\test_data\\12037308314_e16fb3a0f7_k_jpg.rf.988942746306b8c849b47c40601fb273.jpg: 640x640 2 objects, 29.0ms\n", 1589 | "image 2/7 D:\\yolov8_env\\yolov8_custom_image_segmentation\\test_data\\145053828_e0e748717c_b_jpg.rf.9f4d6275d4ddd882d79153149195043e.jpg: 640x640 3 objects, 30.0ms\n", 1590 | "image 3/7 D:\\yolov8_env\\yolov8_custom_image_segmentation\\test_data\\15290896925_884ab33fd3_k_jpg.rf.171cfdb652b8197566efbe8d2e79ca8a.jpg: 640x640 2 objects, 28.0ms\n", 1591 | "image 4/7 D:\\yolov8_env\\yolov8_custom_image_segmentation\\test_data\\15717689633_5f7f78c28e_k_jpg.rf.a61b4c830b5e3d7975c12c78567963e9.jpg: 640x640 1 object, 29.0ms\n", 1592 | "image 5/7 D:\\yolov8_env\\yolov8_custom_image_segmentation\\test_data\\16435593892_2aa8118f4a_k_jpg.rf.c43f0d29727973d21fdad92d2f4dad7d.jpg: 640x640 2 objects, 29.0ms\n", 1593 | "image 6/7 D:\\yolov8_env\\yolov8_custom_image_segmentation\\test_data\\53500107_d24b11b3c2_b_jpg.rf.8956e1bb31168f606b9eab001089acea.jpg: 640x640 4 objects, 28.2ms\n", 1594 | "image 7/7 D:\\yolov8_env\\yolov8_custom_image_segmentation\\test_data\\5560377994_cb597a4af5_b_jpg.rf.25e2e228549cff54984c8296c4a4530e.jpg: 640x640 1 object, 27.0ms\n", 1595 | "Speed: 0.4ms pre-process, 28.6ms inference, 11.9ms postprocess per image at shape (1, 3, 640, 640)\n" 1596 | ] 1597 | }, 1598 | { 1599 | "data": { 1600 | "text/plain": [ 1601 | "[[tensor([[4.57000e+02, 2.58000e+02, 6.31000e+02, 4.65000e+02, 2.59289e-01, 0.00000e+00],\n", 1602 | " [4.15000e+02, 2.81000e+02, 6.12000e+02, 4.85000e+02, 3.61242e-01, 0.00000e+00]], device='cuda:0'),\n", 1603 | " tensor([[[0., 0., 0., ..., 0., 0., 0.],\n", 1604 | " [0., 0., 0., ..., 0., 0., 0.],\n", 1605 | " [0., 0., 0., ..., 0., 0., 0.],\n", 1606 | " ...,\n", 1607 | " [0., 0., 0., ..., 0., 0., 0.],\n", 1608 | " [0., 0., 0., ..., 0., 0., 0.],\n", 1609 | " [0., 0., 0., ..., 0., 0., 0.]],\n", 1610 | " \n", 1611 | " [[0., 0., 0., ..., 0., 0., 0.],\n", 1612 | " [0., 0., 0., ..., 0., 0., 0.],\n", 1613 | " [0., 0., 0., ..., 0., 0., 0.],\n", 1614 | " 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[0., 0., 0., ..., 0., 0., 0.],\n", 1676 | " [0., 0., 0., ..., 0., 0., 0.],\n", 1677 | " [0., 0., 0., ..., 0., 0., 0.]],\n", 1678 | " \n", 1679 | " [[0., 0., 0., ..., 0., 0., 0.],\n", 1680 | " [0., 0., 0., ..., 0., 0., 0.],\n", 1681 | " [0., 0., 0., ..., 0., 0., 0.],\n", 1682 | " ...,\n", 1683 | " [0., 0., 0., ..., 0., 0., 0.],\n", 1684 | " [0., 0., 0., ..., 0., 0., 0.],\n", 1685 | " [0., 0., 0., ..., 0., 0., 0.]]], device='cuda:0')],\n", 1686 | " [tensor([[3.93000e+02, 3.95000e+02, 4.46000e+02, 4.67000e+02, 2.68835e-01, 0.00000e+00],\n", 1687 | " [3.94000e+02, 3.10000e+02, 4.49000e+02, 3.91000e+02, 3.36788e-01, 0.00000e+00],\n", 1688 | " [3.89000e+02, 3.23000e+02, 4.50000e+02, 4.00000e+02, 5.27929e-01, 0.00000e+00],\n", 1689 | " [3.94000e+02, 4.08000e+02, 4.54000e+02, 4.74000e+02, 5.39096e-01, 0.00000e+00]], device='cuda:0'),\n", 1690 | " tensor([[[0., 0., 0., ..., 0., 0., 0.],\n", 1691 | " [0., 0., 0., ..., 0., 0., 0.],\n", 1692 | " [0., 0., 0., ..., 0., 0., 0.],\n", 1693 | " ...,\n", 1694 | " [0., 0., 0., ..., 0., 0., 0.],\n", 1695 | " [0., 0., 0., ..., 0., 0., 0.],\n", 1696 | " [0., 0., 0., ..., 0., 0., 0.]],\n", 1697 | " \n", 1698 | " [[0., 0., 0., ..., 0., 0., 0.],\n", 1699 | " [0., 0., 0., ..., 0., 0., 0.],\n", 1700 | " [0., 0., 0., ..., 0., 0., 0.],\n", 1701 | " ...,\n", 1702 | " [0., 0., 0., ..., 0., 0., 0.],\n", 1703 | " [0., 0., 0., ..., 0., 0., 0.],\n", 1704 | " [0., 0., 0., ..., 0., 0., 0.]],\n", 1705 | " \n", 1706 | " [[0., 0., 0., ..., 0., 0., 0.],\n", 1707 | " [0., 0., 0., ..., 0., 0., 0.],\n", 1708 | " [0., 0., 0., ..., 0., 0., 0.],\n", 1709 | " ...,\n", 1710 | " [0., 0., 0., ..., 0., 0., 0.],\n", 1711 | " [0., 0., 0., ..., 0., 0., 0.],\n", 1712 | " [0., 0., 0., ..., 0., 0., 0.]],\n", 1713 | " \n", 1714 | " [[0., 0., 0., ..., 0., 0., 0.],\n", 1715 | " [0., 0., 0., ..., 0., 0., 0.],\n", 1716 | " [0., 0., 0., ..., 0., 0., 0.],\n", 1717 | " ...,\n", 1718 | " [0., 0., 0., ..., 0., 0., 0.],\n", 1719 | " [0., 0., 0., ..., 0., 0., 0.],\n", 1720 | " [0., 0., 0., ..., 0., 0., 0.]]], device='cuda:0')],\n", 1721 | " [tensor([[304.00000, 0.00000, 466.00000, 149.00000, 0.52525, 0.00000]], device='cuda:0'),\n", 1722 | " tensor([[[0., 0., 0., ..., 0., 0., 0.],\n", 1723 | " [0., 0., 0., ..., 0., 0., 0.],\n", 1724 | " [0., 0., 0., ..., 0., 0., 0.],\n", 1725 | " ...,\n", 1726 | " [0., 0., 0., ..., 0., 0., 0.],\n", 1727 | " [0., 0., 0., ..., 0., 0., 0.],\n", 1728 | " [0., 0., 0., ..., 0., 0., 0.]]], device='cuda:0')]]" 1729 | ] 1730 | }, 1731 | "execution_count": 1, 1732 | "metadata": {}, 1733 | "output_type": "execute_result" 1734 | } 1735 | ], 1736 | "source": [ 1737 | "from ultralytics import YOLO\n", 1738 | "\n", 1739 | "model = YOLO(\"runs/segment/train/weights/best.pt\")\n", 1740 | "\n", 1741 | "#model.predict(source=\"0\") # accepts all formats - img/folder/vid.*(mp4/format). 0 for webcam\n", 1742 | "\n", 1743 | "model.predict(source=\"test_data\") # Display preds. Accepts all yolo predict arguments" 1744 | ] 1745 | }, 1746 | { 1747 | "cell_type": "code", 1748 | "execution_count": null, 1749 | "id": "b3e5ad8e", 1750 | "metadata": {}, 1751 | "outputs": [], 1752 | "source": [] 1753 | } 1754 | ], 1755 | "metadata": { 1756 | "kernelspec": { 1757 | "display_name": "Python 3 (ipykernel)", 1758 | "language": "python", 1759 | "name": "python3" 1760 | }, 1761 | "language_info": { 1762 | "codemirror_mode": { 1763 | "name": "ipython", 1764 | "version": 3 1765 | }, 1766 | "file_extension": ".py", 1767 | "mimetype": "text/x-python", 1768 | "name": "python", 1769 | "nbconvert_exporter": "python", 1770 | "pygments_lexer": "ipython3", 1771 | "version": "3.9.10" 1772 | } 1773 | }, 1774 | "nbformat": 4, 1775 | "nbformat_minor": 5 1776 | } 1777 | -------------------------------------------------------------------------------- /yolov8n-seg.pt: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AarohiSingla/YOLOv8-Image-Segmentation/d8bdb1d15611f06b9d8db59d26ae590e8b9f4b6b/yolov8n-seg.pt -------------------------------------------------------------------------------- /yolov8x-seg_custom.yaml: -------------------------------------------------------------------------------- 1 | # Ultralytics YOLO 🚀, GPL-3.0 license 2 | 3 | # Parameters 4 | nc: 2 # number of classes 5 | depth_multiple: 1.00 # scales module repeats 6 | width_multiple: 1.25 # scales convolution channels 7 | 8 | # YOLOv8.0x backbone 9 | backbone: 10 | # [from, repeats, module, args] 11 | - [-1, 1, Conv, [64, 3, 2]] # 0-P1/2 12 | - [-1, 1, Conv, [128, 3, 2]] # 1-P2/4 13 | - [-1, 3, C2f, [128, True]] 14 | - [-1, 1, Conv, [256, 3, 2]] # 3-P3/8 15 | - [-1, 6, C2f, [256, True]] 16 | - [-1, 1, Conv, [512, 3, 2]] # 5-P4/16 17 | - [-1, 6, C2f, [512, True]] 18 | - [-1, 1, Conv, [512, 3, 2]] # 7-P5/32 19 | - [-1, 3, C2f, [512, True]] 20 | - [-1, 1, SPPF, [512, 5]] # 9 21 | 22 | # YOLOv8.0x head 23 | head: 24 | - [-1, 1, nn.Upsample, [None, 2, 'nearest']] 25 | - [[-1, 6], 1, Concat, [1]] # cat backbone P4 26 | - [-1, 3, C2f, [512]] # 13 27 | 28 | - [-1, 1, nn.Upsample, [None, 2, 'nearest']] 29 | - [[-1, 4], 1, Concat, [1]] # cat backbone P3 30 | - [-1, 3, C2f, [256]] # 17 (P3/8-small) 31 | 32 | - [-1, 1, Conv, [256, 3, 2]] 33 | - [[-1, 12], 1, Concat, [1]] # cat head P4 34 | - [-1, 3, C2f, [512]] # 20 (P4/16-medium) 35 | 36 | - [-1, 1, Conv, [512, 3, 2]] 37 | - [[-1, 9], 1, Concat, [1]] # cat head P5 38 | - [-1, 3, C2f, [512]] # 23 (P5/32-large) 39 | 40 | - [[15, 18, 21], 1, Segment, [nc, 32, 256]] # Detect(P3, P4, P5) 41 | --------------------------------------------------------------------------------