OpenSource_FH_Posture_img_labeling.ipynb

{"cells":[{"cell_type":"code","execution_count":8,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":3059,"status":"ok","timestamp":1669375642695,"user":{"displayName":"강병준","userId":"05943417092754560855"},"user_tz":-540},"id":"tlaemCwKxMev","outputId":"01a55862-788f-448b-a99c-ff48f0231096"},"outputs":[{"output_type":"stream","name":"stdout","text":["Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n"]}],"source":["from google.colab import drive\n","drive.mount('/content/drive')"]},{"cell_type":"code","execution_count":9,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":1990,"status":"ok","timestamp":1669375646179,"user":{"displayName":"강병준","userId":"05943417092754560855"},"user_tz":-540},"id":"Qw9ZDf4sxYdp","outputId":"cb42085f-7d8b-43cb-add7-72af11ffe7bc"},"outputs":[{"output_type":"stream","name":"stdout","text":["Cloning into 'yolov5'...\n","remote: Enumerating objects: 14156, done.\u001b[K\n","remote: Counting objects: 100% (26/26), done.\u001b[K\n","remote: Compressing objects: 100% (18/18), done.\u001b[K\n","remote: Total 14156 (delta 10), reused 20 (delta 8), pack-reused 14130\u001b[K\n","Receiving objects: 100% (14156/14156), 13.54 MiB | 18.13 MiB/s, done.\n","Resolving deltas: 100% (9720/9720), done.\n"]}],"source":["!git clone https://github.com/ultralytics/yolov5"]},{"cell_type":"code","execution_count":10,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":528,"status":"ok","timestamp":1669375650939,"user":{"displayName":"강병준","userId":"05943417092754560855"},"user_tz":-540},"id":"A10LKvdixbWa","outputId":"03d84a70-018e-4fba-ee07-0cb697f95677"},"outputs":[{"output_type":"stream","name":"stdout","text":["/content/yolov5\n"]}],"source":["%cd /content/yolov5"]},{"cell_type":"code","execution_count":11,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":3421,"status":"ok","timestamp":1669375657347,"user":{"displayName":"강병준","userId":"05943417092754560855"},"user_tz":-540},"id":"L8pSHyrExfym","outputId":"c771d7aa-6ffd-4e66-f575-465ff316f707"},"outputs":[{"output_type":"stream","name":"stdout","text":["Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n","Requirement already satisfied: gitpython in /usr/local/lib/python3.7/dist-packages (from -r requirements.txt (line 5)) (3.1.29)\n","Requirement already satisfied: ipython in /usr/local/lib/python3.7/dist-packages (from -r requirements.txt (line 6)) (7.9.0)\n","Requirement already satisfied: matplotlib>=3.2.2 in /usr/local/lib/python3.7/dist-packages (from -r requirements.txt (line 7)) (3.2.2)\n","Requirement already satisfied: numpy>=1.18.5 in /usr/local/lib/python3.7/dist-packages (from -r 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requirements.txt (line 22)) (3.2.2)\n","Requirement already satisfied: gitdb<5,>=4.0.1 in /usr/local/lib/python3.7/dist-packages (from gitpython->-r requirements.txt (line 5)) (4.0.10)\n","Requirement already satisfied: smmap<6,>=3.0.1 in /usr/local/lib/python3.7/dist-packages (from gitdb<5,>=4.0.1->gitpython->-r requirements.txt (line 5)) (5.0.0)\n","Requirement already satisfied: prompt-toolkit<2.1.0,>=2.0.0 in /usr/local/lib/python3.7/dist-packages (from ipython->-r requirements.txt (line 6)) (2.0.10)\n","Requirement already satisfied: decorator in /usr/local/lib/python3.7/dist-packages (from ipython->-r requirements.txt (line 6)) (4.4.2)\n","Requirement already satisfied: jedi>=0.10 in /usr/local/lib/python3.7/dist-packages (from ipython->-r requirements.txt (line 6)) (0.18.2)\n","Requirement already satisfied: pygments in /usr/local/lib/python3.7/dist-packages (from ipython->-r requirements.txt (line 6)) (2.6.1)\n","Requirement already satisfied: backcall in /usr/local/lib/python3.7/dist-packages (from ipython->-r requirements.txt (line 6)) (0.2.0)\n","Requirement already satisfied: pickleshare in /usr/local/lib/python3.7/dist-packages (from ipython->-r requirements.txt (line 6)) (0.7.5)\n","Requirement already satisfied: pexpect in /usr/local/lib/python3.7/dist-packages (from ipython->-r requirements.txt (line 6)) (4.8.0)\n","Requirement already satisfied: traitlets>=4.2 in /usr/local/lib/python3.7/dist-packages (from ipython->-r requirements.txt (line 6)) (5.1.1)\n","Requirement already satisfied: parso<0.9.0,>=0.8.0 in /usr/local/lib/python3.7/dist-packages (from jedi>=0.10->ipython->-r requirements.txt (line 6)) (0.8.3)\n","Requirement already satisfied: wcwidth in /usr/local/lib/python3.7/dist-packages (from prompt-toolkit<2.1.0,>=2.0.0->ipython->-r requirements.txt (line 6)) (0.2.5)\n","Requirement already satisfied: ptyprocess>=0.5 in /usr/local/lib/python3.7/dist-packages (from pexpect->ipython->-r requirements.txt (line 6)) (0.7.0)\n"]}],"source":["!pip install -r requirements.txt"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"Eub3nQ9zlb8h","executionInfo":{"status":"ok","timestamp":1669374492175,"user_tz":-540,"elapsed":21588518,"user":{"displayName":"강병준","userId":"05943417092754560855"}},"outputId":"cc33ca03-90f6-4c7d-acb8-fc4f93f46d0c"},"outputs":[{"output_type":"stream","name":"stdout","text":["\u001b[34m\u001b[1mtrain: \u001b[0mweights=yolov5s.pt, cfg=/content/yolov5/models/yolov5s.yaml, data=/content/drive/MyDrive/OpenSource_FH_Posture_img_labeling/data.yaml, hyp=data/hyps/hyp.scratch-low.yaml, epochs=218, batch_size=8, imgsz=640, rect=False, resume=False, nosave=False, noval=False, noautoanchor=False, noplots=False, evolve=None, bucket=, cache=None, image_weights=False, device=, multi_scale=False, single_cls=False, optimizer=SGD, sync_bn=False, workers=8, project=runs/train, name=FH_Posture, exist_ok=False, quad=False, cos_lr=False, label_smoothing=0.0, patience=100, freeze=[0], save_period=-1, seed=0, local_rank=-1, entity=None, upload_dataset=False, bbox_interval=-1, artifact_alias=latest\n","\u001b[34m\u001b[1mgithub: \u001b[0mup to date with https://github.com/ultralytics/yolov5 ✅\n","YOLOv5 🚀 v7.0-5-gbfa1f23 Python-3.7.15 torch-1.12.1+cu113 CUDA:0 (Tesla T4, 15110MiB)\n","\n","\u001b[34m\u001b[1mhyperparameters: \u001b[0mlr0=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=0.05, cls=0.5, cls_pw=1.0, obj=1.0, obj_pw=1.0, iou_t=0.2, anchor_t=4.0, fl_gamma=0.0, 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\n","\u001b[34m\u001b[1mClearML: \u001b[0mrun 'pip install clearml' to automatically track, visualize and remotely train YOLOv5 🚀 in ClearML\n","\u001b[34m\u001b[1mComet: \u001b[0mrun 'pip install comet_ml' to automatically track and visualize YOLOv5 🚀 runs in Comet\n","\u001b[34m\u001b[1mTensorBoard: \u001b[0mStart with 'tensorboard --logdir runs/train', view at http://localhost:6006/\n","Downloading https://ultralytics.com/assets/Arial.ttf to /root/.config/Ultralytics/Arial.ttf...\n","100% 755k/755k [00:00<00:00, 52.7MB/s]\n","Downloading https://github.com/ultralytics/yolov5/releases/download/v7.0/yolov5s.pt to yolov5s.pt...\n","100% 14.1M/14.1M [00:00<00:00, 282MB/s]\n","\n","Overriding model.yaml nc=80 with nc=1\n","\n","                 from  n    params  module                                  arguments                     \n","  0                -1  1      3520  models.common.Conv                      [3, 32, 6, 2, 2]              \n","  1                -1  1     18560  models.common.Conv                      [32, 64, 3, 2]                \n","  2                -1  1     18816  models.common.C3                        [64, 64, 1]                   \n","  3                -1  1     73984  models.common.Conv                      [64, 128, 3, 2]               \n","  4                -1  2    115712  models.common.C3                        [128, 128, 2]                 \n","  5                -1  1    295424  models.common.Conv                      [128, 256, 3, 2]              \n","  6                -1  3    625152  models.common.C3                        [256, 256, 3]                 \n","  7                -1  1   1180672  models.common.Conv                      [256, 512, 3, 2]              \n","  8                -1  1   1182720  models.common.C3                        [512, 512, 1]                 \n","  9                -1  1    656896  models.common.SPPF                      [512, 512, 5]                 \n"," 10                -1  1    131584  models.common.Conv                      [512, 256, 1, 1]              \n"," 11                -1  1         0  torch.nn.modules.upsampling.Upsample    [None, 2, 'nearest']          \n"," 12           [-1, 6]  1         0  models.common.Concat                    [1]                           \n"," 13                -1  1    361984  models.common.C3                        [512, 256, 1, False]          \n"," 14                -1  1     33024  models.common.Conv                      [256, 128, 1, 1]              \n"," 15                -1  1         0  torch.nn.modules.upsampling.Upsample    [None, 2, 'nearest']          \n"," 16           [-1, 4]  1         0  models.common.Concat                    [1]                           \n"," 17                -1  1     90880  models.common.C3                        [256, 128, 1, False]          \n"," 18                -1  1    147712  models.common.Conv                      [128, 128, 3, 2]              \n"," 19          [-1, 14]  1         0  models.common.Concat                    [1]                           \n"," 20                -1  1    296448  models.common.C3                        [256, 256, 1, False]          \n"," 21                -1  1    590336  models.common.Conv                      [256, 256, 3, 2]              \n"," 22          [-1, 10]  1         0  models.common.Concat                    [1]                           \n"," 23                -1  1   1182720  models.common.C3                        [512, 512, 1, False]          \n"," 24      [17, 20, 23]  1     16182  models.yolo.Detect                      [1, [[10, 13, 16, 30, 33, 23], [30, 61, 62, 45, 59, 119], [116, 90, 156, 198, 373, 326]], [128, 256, 512]]\n","YOLOv5s summary: 214 layers, 7022326 parameters, 7022326 gradients, 15.9 GFLOPs\n","\n","Transferred 342/349 items from yolov5s.pt\n","\u001b[34m\u001b[1mAMP: \u001b[0mchecks passed ✅\n","\u001b[34m\u001b[1moptimizer:\u001b[0m SGD(lr=0.01) with parameter groups 57 weight(decay=0.0), 60 weight(decay=0.0005), 60 bias\n","\u001b[34m\u001b[1malbumentations: \u001b[0mBlur(p=0.01, blur_limit=(3, 7)), MedianBlur(p=0.01, blur_limit=(3, 7)), ToGray(p=0.01), CLAHE(p=0.01, clip_limit=(1, 4.0), tile_grid_size=(8, 8))\n","\u001b[34m\u001b[1mtrain: \u001b[0mScanning /content/drive/MyDrive/OpenSource_FH_Posture_img_labeling/labels.cache... 218 images, 0 backgrounds, 0 corrupt: 100% 218/218 [00:00<?, ?it/s]\n","\u001b[34m\u001b[1mval: \u001b[0mScanning /content/drive/MyDrive/OpenSource_FH_Posture_img_labeling/labels.cache... 218 images, 0 backgrounds, 0 corrupt: 100% 218/218 [00:00<?, ?it/s]\n","\n","\u001b[34m\u001b[1mAutoAnchor: \u001b[0m2.82 anchors/target, 1.000 Best Possible Recall (BPR). Current anchors are a good fit to dataset ✅\n","Plotting labels to runs/train/FH_Posture/labels.jpg... \n","Image sizes 640 train, 640 val\n","Using 4 dataloader workers\n","Logging results to \u001b[1mruns/train/FH_Posture\u001b[0m\n","Starting training for 218 epochs...\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","      0/217      1.99G    0.07857    0.03463          0          6        640: 100% 28/28 [01:42<00:00,  3.66s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:29<00:00,  2.09s/it]\n","                   all        218        218      0.309      0.908      0.504      0.214\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","      1/217      2.21G    0.05902    0.02654          0          3        640: 100% 28/28 [01:13<00:00,  2.64s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:29<00:00,  2.10s/it]\n","                   all        218        218      0.524      0.739      0.568      0.141\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","      2/217      2.21G    0.05252    0.01989          0          6        640: 100% 28/28 [01:10<00:00,  2.52s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:29<00:00,  2.09s/it]\n","                   all        218        218      0.578      0.879       0.77      0.317\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","      3/217      2.21G    0.05091    0.01839          0          6        640: 100% 28/28 [01:09<00:00,  2.49s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.05s/it]\n","                   all        218        218       0.23      0.579      0.265     0.0761\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","      4/217      2.21G    0.05285    0.01556          0          3        640: 100% 28/28 [01:09<00:00,  2.48s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.07s/it]\n","                   all        218        218      0.372      0.739      0.442      0.177\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","      5/217      2.21G    0.04622    0.01716          0          7        640: 100% 28/28 [01:12<00:00,  2.59s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.02s/it]\n","                   all        218        218      0.773      0.751      0.834      0.382\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","      6/217      2.21G    0.04189     0.0152          0          6        640: 100% 28/28 [01:09<00:00,  2.48s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:29<00:00,  2.09s/it]\n","                   all        218        218      0.963      0.961      0.986      0.515\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","      7/217      2.21G    0.04016    0.01408          0          5        640: 100% 28/28 [01:08<00:00,  2.44s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.06s/it]\n","                   all        218        218      0.698      0.894      0.849      0.532\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","      8/217      2.21G     0.0406    0.01437          0          8        640: 100% 28/28 [01:10<00:00,  2.50s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:29<00:00,  2.13s/it]\n","                   all        218        218      0.704      0.948      0.892      0.519\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","      9/217      2.21G    0.03977    0.01324          0          4        640: 100% 28/28 [01:09<00:00,  2.48s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:29<00:00,  2.08s/it]\n","                   all        218        218      0.939      0.981      0.974      0.387\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     10/217      2.21G    0.03517    0.01357          0          4        640: 100% 28/28 [01:09<00:00,  2.48s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.07s/it]\n","                   all        218        218       0.96      0.995      0.988      0.579\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     11/217      2.21G    0.03391    0.01301          0          6        640: 100% 28/28 [01:08<00:00,  2.46s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:29<00:00,  2.11s/it]\n","                   all        218        218      0.956      0.977      0.989      0.544\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     12/217      2.21G    0.03215    0.01296          0          3        640: 100% 28/28 [01:09<00:00,  2.48s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.05s/it]\n","                   all        218        218      0.912      0.995      0.979      0.616\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     13/217      2.21G    0.03096    0.01265          0          3        640: 100% 28/28 [01:09<00:00,  2.48s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:29<00:00,  2.08s/it]\n","                   all        218        218          1          1      0.995      0.676\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     14/217      2.21G    0.03548    0.01123          0          3        640: 100% 28/28 [01:10<00:00,  2.52s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:27<00:00,  1.95s/it]\n","                   all        218        218      0.999          1      0.995      0.534\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     15/217      2.21G    0.03116    0.01164          0          4        640: 100% 28/28 [01:11<00:00,  2.57s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:27<00:00,  1.97s/it]\n","                   all        218        218      0.995          1      0.995      0.582\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     16/217      2.21G    0.03231    0.01212          0          6        640: 100% 28/28 [01:10<00:00,  2.52s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.04s/it]\n","                   all        218        218          1      0.999      0.995      0.679\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     17/217      2.21G    0.02813    0.01141          0          4        640: 100% 28/28 [01:09<00:00,  2.50s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:27<00:00,  1.99s/it]\n","                   all        218        218      0.995      0.995      0.992       0.53\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     18/217      2.21G      0.033    0.01173          0          4        640: 100% 28/28 [01:10<00:00,  2.51s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.03s/it]\n","                   all        218        218          1      0.995      0.995      0.651\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     19/217      2.21G    0.03462    0.01175          0          8        640: 100% 28/28 [01:09<00:00,  2.47s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:29<00:00,  2.13s/it]\n","                   all        218        218          1      0.995      0.995      0.612\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     20/217      2.21G    0.03043    0.01193          0          6        640: 100% 28/28 [01:10<00:00,  2.51s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:27<00:00,  1.96s/it]\n","                   all        218        218          1      0.995      0.995      0.695\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     21/217      2.21G    0.02565    0.01104          0          2        640: 100% 28/28 [01:09<00:00,  2.48s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.01s/it]\n","                   all        218        218      0.999      0.995      0.995      0.733\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     22/217      2.21G    0.02743    0.01053          0          4        640: 100% 28/28 [01:09<00:00,  2.50s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.00s/it]\n","                   all        218        218          1      0.995      0.995      0.647\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     23/217      2.21G    0.02865    0.01103          0          5        640: 100% 28/28 [01:10<00:00,  2.52s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:27<00:00,  1.98s/it]\n","                   all        218        218          1          1      0.995      0.687\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     24/217      2.21G    0.02743    0.01172          0          6        640: 100% 28/28 [01:11<00:00,  2.54s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:27<00:00,  1.99s/it]\n","                   all        218        218          1          1      0.995      0.692\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     25/217      2.21G    0.02992    0.01088          0          7        640: 100% 28/28 [01:09<00:00,  2.49s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.06s/it]\n","                   all        218        218          1          1      0.995      0.601\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     26/217      2.21G    0.02715    0.01107          0          3        640: 100% 28/28 [01:09<00:00,  2.50s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:27<00:00,  1.99s/it]\n","                   all        218        218          1          1      0.995      0.736\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     27/217      2.21G    0.02552    0.01089          0          7        640: 100% 28/28 [01:09<00:00,  2.49s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.05s/it]\n","                   all        218        218          1          1      0.995      0.711\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     28/217      2.21G    0.02616     0.0102          0          2        640: 100% 28/28 [01:07<00:00,  2.42s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.04s/it]\n","                   all        218        218          1          1      0.995      0.737\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     29/217      2.21G    0.02568    0.01077          0          6        640: 100% 28/28 [01:09<00:00,  2.49s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:29<00:00,  2.11s/it]\n","                   all        218        218          1          1      0.995      0.704\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     30/217      2.21G     0.0272    0.01106          0          8        640: 100% 28/28 [01:06<00:00,  2.38s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.02s/it]\n","                   all        218        218          1          1      0.995      0.717\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     31/217      2.21G    0.02548    0.01099          0          6        640: 100% 28/28 [01:10<00:00,  2.51s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.07s/it]\n","                   all        218        218          1          1      0.995      0.683\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     32/217      2.21G    0.02589     0.0104          0          4        640: 100% 28/28 [01:07<00:00,  2.41s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:27<00:00,  1.97s/it]\n","                   all        218        218          1          1      0.995      0.727\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     33/217      2.21G    0.02373    0.01001          0          4        640: 100% 28/28 [01:10<00:00,  2.52s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.05s/it]\n","                   all        218        218          1          1      0.995      0.766\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     34/217      2.21G    0.02598     0.0109          0          6        640: 100% 28/28 [01:09<00:00,  2.47s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.06s/it]\n","                   all        218        218          1          1      0.995      0.765\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     35/217      2.21G    0.02546    0.01079          0          5        640: 100% 28/28 [01:10<00:00,  2.51s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.04s/it]\n","                   all        218        218          1          1      0.995      0.725\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     36/217      2.21G    0.02124    0.01037          0          4        640: 100% 28/28 [01:09<00:00,  2.48s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:29<00:00,  2.09s/it]\n","                   all        218        218          1          1      0.995      0.755\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     37/217      2.21G    0.02402    0.01054          0          5        640: 100% 28/28 [01:08<00:00,  2.44s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:27<00:00,  1.94s/it]\n","                   all        218        218          1          1      0.995      0.661\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     38/217      2.21G    0.02322    0.00929          0          6        640: 100% 28/28 [01:09<00:00,  2.48s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:29<00:00,  2.08s/it]\n","                   all        218        218          1          1      0.995      0.799\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     39/217      2.21G    0.01998    0.00965          0          4        640: 100% 28/28 [01:08<00:00,  2.45s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:27<00:00,  2.00s/it]\n","                   all        218        218          1          1      0.995      0.658\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     40/217      2.21G    0.02337     0.0103          0          6        640: 100% 28/28 [01:08<00:00,  2.46s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:29<00:00,  2.11s/it]\n","                   all        218        218      0.999          1      0.995      0.778\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     41/217      2.21G      0.025     0.0101          0          5        640: 100% 28/28 [01:08<00:00,  2.45s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.03s/it]\n","                   all        218        218      0.999          1      0.995      0.672\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     42/217      2.21G    0.02408   0.009956          0          5        640: 100% 28/28 [01:07<00:00,  2.43s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.06s/it]\n","                   all        218        218      0.999          1      0.995      0.735\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     43/217      2.21G    0.02224   0.009965          0          6        640: 100% 28/28 [01:09<00:00,  2.48s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.07s/it]\n","                   all        218        218      0.998          1      0.995      0.802\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     44/217      2.21G    0.02238    0.01019          0          8        640: 100% 28/28 [01:08<00:00,  2.45s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.01s/it]\n","                   all        218        218      0.999          1      0.995      0.728\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     45/217      2.21G     0.0187   0.009778          0          8        640: 100% 28/28 [01:09<00:00,  2.48s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.01s/it]\n","                   all        218        218      0.999          1      0.995      0.798\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     46/217      2.21G    0.02057   0.009725          0          5        640: 100% 28/28 [01:09<00:00,  2.47s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.01s/it]\n","                   all        218        218      0.999          1      0.995      0.811\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     47/217      2.21G    0.02109   0.009435          0          4        640: 100% 28/28 [01:07<00:00,  2.41s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.03s/it]\n","                   all        218        218          1          1      0.995      0.747\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     48/217      2.21G    0.02181    0.01028          0          4        640: 100% 28/28 [01:09<00:00,  2.49s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:27<00:00,  1.97s/it]\n","                   all        218        218          1          1      0.995       0.69\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     49/217      2.21G    0.02013     0.0106          0          6        640: 100% 28/28 [01:08<00:00,  2.44s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.02s/it]\n","                   all        218        218          1          1      0.995      0.755\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     50/217      2.21G    0.01966   0.009643          0          6        640: 100% 28/28 [01:08<00:00,  2.45s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:29<00:00,  2.08s/it]\n","                   all        218        218          1          1      0.995      0.777\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     51/217      2.21G    0.02084   0.009461          0          6        640: 100% 28/28 [01:08<00:00,  2.44s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.00s/it]\n","                   all        218        218          1          1      0.995      0.825\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     52/217      2.21G    0.02221   0.009352          0          8        640: 100% 28/28 [01:09<00:00,  2.49s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.02s/it]\n","                   all        218        218          1          1      0.995      0.782\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     53/217      2.21G    0.02045   0.009068          0          4        640: 100% 28/28 [01:09<00:00,  2.48s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.03s/it]\n","                   all        218        218          1          1      0.995      0.795\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     54/217      2.21G    0.02245   0.009645          0          6        640: 100% 28/28 [01:10<00:00,  2.51s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:27<00:00,  1.96s/it]\n","                   all        218        218          1          1      0.995      0.822\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     55/217      2.21G    0.02204   0.009676          0          3        640: 100% 28/28 [01:08<00:00,  2.44s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:29<00:00,  2.09s/it]\n","                   all        218        218          1          1      0.995      0.777\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     56/217      2.21G    0.02019   0.009967          0          7        640: 100% 28/28 [01:07<00:00,  2.40s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.03s/it]\n","                   all        218        218          1          1      0.995      0.714\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     57/217      2.21G    0.01999   0.008854          0          6        640: 100% 28/28 [01:08<00:00,  2.44s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.01s/it]\n","                   all        218        218          1          1      0.995      0.794\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     58/217      2.21G    0.01942   0.009246          0          4        640: 100% 28/28 [01:09<00:00,  2.49s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:27<00:00,  2.00s/it]\n","                   all        218        218          1          1      0.995      0.756\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     59/217      2.21G    0.01799     0.0102          0          6        640: 100% 28/28 [01:09<00:00,  2.47s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:27<00:00,  1.97s/it]\n","                   all        218        218          1          1      0.995      0.838\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     60/217      2.21G    0.02032    0.01008          0          6        640: 100% 28/28 [01:09<00:00,  2.48s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.03s/it]\n","                   all        218        218          1          1      0.995      0.823\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     61/217      2.21G    0.01947   0.008758          0          3        640: 100% 28/28 [01:08<00:00,  2.45s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.00s/it]\n","                   all        218        218          1          1      0.995      0.853\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     62/217      2.21G    0.01846    0.00897          0          5        640: 100% 28/28 [01:09<00:00,  2.48s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.01s/it]\n","                   all        218        218          1          1      0.995      0.822\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     63/217      2.21G    0.01964   0.009248          0          5        640: 100% 28/28 [01:08<00:00,  2.46s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.01s/it]\n","                   all        218        218          1          1      0.995      0.853\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     64/217      2.21G    0.02012   0.008805          0          5        640: 100% 28/28 [01:10<00:00,  2.51s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.05s/it]\n","                   all        218        218          1          1      0.995      0.857\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     65/217      2.21G    0.01926    0.00961          0          8        640: 100% 28/28 [01:07<00:00,  2.42s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:27<00:00,  2.00s/it]\n","                   all        218        218          1          1      0.995      0.834\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     66/217      2.21G    0.01923   0.009319          0          4        640: 100% 28/28 [01:09<00:00,  2.46s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:27<00:00,  1.96s/it]\n","                   all        218        218          1          1      0.995      0.838\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     67/217      2.21G    0.01827   0.009071          0          5        640: 100% 28/28 [01:09<00:00,  2.48s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.01s/it]\n","                   all        218        218          1          1      0.995      0.818\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     68/217      2.21G    0.01581   0.008587          0          3        640: 100% 28/28 [01:10<00:00,  2.53s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:27<00:00,  1.98s/it]\n","                   all        218        218          1          1      0.995      0.804\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     69/217      2.21G    0.01722   0.009217          0          5        640: 100% 28/28 [01:08<00:00,  2.45s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.05s/it]\n","                   all        218        218          1          1      0.995      0.814\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     70/217      2.21G    0.01779   0.008379          0          5        640: 100% 28/28 [01:09<00:00,  2.50s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.03s/it]\n","                   all        218        218          1          1      0.995      0.763\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     71/217      2.21G     0.0167    0.00906          0          5        640: 100% 28/28 [01:08<00:00,  2.45s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.03s/it]\n","                   all        218        218          1          1      0.995      0.846\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     72/217      2.21G    0.01754   0.008613          0          5        640: 100% 28/28 [01:09<00:00,  2.47s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:27<00:00,  2.00s/it]\n","                   all        218        218          1          1      0.995      0.859\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     73/217      2.21G    0.01711   0.008706          0          7        640: 100% 28/28 [01:08<00:00,  2.45s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:29<00:00,  2.08s/it]\n","                   all        218        218          1          1      0.995      0.837\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     74/217      2.21G    0.01627   0.008832          0          4        640: 100% 28/28 [01:08<00:00,  2.44s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.00s/it]\n","                   all        218        218          1          1      0.995      0.854\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     75/217      2.21G    0.01788   0.008567          0          6        640: 100% 28/28 [01:09<00:00,  2.47s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.01s/it]\n","                   all        218        218          1          1      0.995      0.854\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     76/217      2.21G     0.0186   0.008486          0          3        640: 100% 28/28 [01:10<00:00,  2.52s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:27<00:00,  1.99s/it]\n","                   all        218        218          1          1      0.995       0.84\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     77/217      2.21G    0.01741   0.008592          0          4        640: 100% 28/28 [01:09<00:00,  2.48s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:27<00:00,  1.98s/it]\n","                   all        218        218          1          1      0.995      0.856\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     78/217      2.21G    0.01792   0.008793          0          6        640: 100% 28/28 [01:09<00:00,  2.49s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.04s/it]\n","                   all        218        218          1          1      0.995      0.811\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     79/217      2.21G    0.01711   0.009186          0          2        640: 100% 28/28 [01:11<00:00,  2.57s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.01s/it]\n","                   all        218        218          1          1      0.995      0.831\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     80/217      2.21G    0.01629   0.008244          0          5        640: 100% 28/28 [01:10<00:00,  2.52s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.02s/it]\n","                   all        218        218          1          1      0.995      0.804\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     81/217      2.21G    0.01736   0.008934          0          8        640: 100% 28/28 [01:07<00:00,  2.42s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.06s/it]\n","                   all        218        218          1          1      0.995      0.846\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     82/217      2.21G    0.01664   0.008709          0          3        640: 100% 28/28 [01:08<00:00,  2.44s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.01s/it]\n","                   all        218        218          1          1      0.995      0.851\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     83/217      2.21G    0.01679   0.008995          0          4        640: 100% 28/28 [01:09<00:00,  2.49s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.02s/it]\n","                   all        218        218          1          1      0.995      0.865\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     84/217      2.21G    0.01573   0.008825          0          5        640: 100% 28/28 [01:09<00:00,  2.48s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.03s/it]\n","                   all        218        218          1          1      0.995      0.867\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     85/217      2.21G    0.01794   0.008889          0          6        640: 100% 28/28 [01:06<00:00,  2.38s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:27<00:00,  1.99s/it]\n","                   all        218        218          1          1      0.995      0.836\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     86/217      2.21G    0.02045   0.009967          0          7        640: 100% 28/28 [01:10<00:00,  2.50s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.05s/it]\n","                   all        218        218          1          1      0.995      0.856\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     87/217      2.21G    0.01581   0.008394          0          7        640: 100% 28/28 [01:07<00:00,  2.41s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:27<00:00,  1.99s/it]\n","                   all        218        218          1          1      0.995      0.817\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     88/217      2.21G    0.01834   0.008144          0          5        640: 100% 28/28 [01:11<00:00,  2.55s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:27<00:00,  1.99s/it]\n","                   all        218        218          1          1      0.995      0.854\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     89/217      2.21G    0.01794   0.008915          0          5        640: 100% 28/28 [01:09<00:00,  2.49s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.03s/it]\n","                   all        218        218          1          1      0.995      0.845\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     90/217      2.21G    0.01877   0.008947          0          5        640: 100% 28/28 [01:08<00:00,  2.44s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:29<00:00,  2.07s/it]\n","                   all        218        218          1          1      0.995       0.79\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     91/217      2.21G    0.01623   0.009272          0          7        640: 100% 28/28 [01:07<00:00,  2.40s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:27<00:00,  2.00s/it]\n","                   all        218        218          1          1      0.995      0.865\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     92/217      2.21G    0.01846   0.009006          0          5        640: 100% 28/28 [01:09<00:00,  2.48s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.02s/it]\n","                   all        218        218          1          1      0.995      0.806\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     93/217      2.21G     0.0162   0.008564          0          6        640: 100% 28/28 [01:07<00:00,  2.41s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.04s/it]\n","                   all        218        218          1          1      0.995      0.816\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     94/217      2.21G    0.01763   0.008265          0          4        640: 100% 28/28 [01:09<00:00,  2.49s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.07s/it]\n","                   all        218        218          1          1      0.995      0.845\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     95/217      2.21G    0.01677    0.00812          0          4        640: 100% 28/28 [01:05<00:00,  2.36s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.02s/it]\n","                   all        218        218          1          1      0.995      0.855\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     96/217      2.21G    0.01837   0.008579          0          8        640: 100% 28/28 [01:08<00:00,  2.46s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:27<00:00,  1.95s/it]\n","                   all        218        218          1          1      0.995      0.873\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     97/217      2.21G    0.01441    0.00838          0          3        640: 100% 28/28 [01:08<00:00,  2.45s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:27<00:00,  2.00s/it]\n","                   all        218        218          1          1      0.995      0.845\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     98/217      2.21G     0.0166   0.008721          0          4        640: 100% 28/28 [01:08<00:00,  2.44s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:27<00:00,  1.96s/it]\n","                   all        218        218          1          1      0.995      0.852\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","     99/217      2.21G    0.01703    0.00829          0          3        640: 100% 28/28 [01:09<00:00,  2.48s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.03s/it]\n","                   all        218        218          1          1      0.995      0.885\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    100/217      2.21G    0.01693   0.008353          0          7        640: 100% 28/28 [01:08<00:00,  2.44s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.00s/it]\n","                   all        218        218          1          1      0.995      0.876\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    101/217      2.21G    0.01599   0.008593          0          4        640: 100% 28/28 [01:08<00:00,  2.46s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.06s/it]\n","                   all        218        218          1          1      0.995      0.893\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    102/217      2.21G    0.01668   0.008645          0          4        640: 100% 28/28 [01:07<00:00,  2.40s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.03s/it]\n","                   all        218        218          1          1      0.995      0.825\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    103/217      2.21G    0.01642   0.008835          0          7        640: 100% 28/28 [01:07<00:00,  2.42s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.01s/it]\n","                   all        218        218          1          1      0.995      0.858\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    104/217      2.21G    0.01454   0.007797          0          3        640: 100% 28/28 [01:07<00:00,  2.43s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:27<00:00,  1.96s/it]\n","                   all        218        218          1          1      0.995      0.853\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    105/217      2.21G    0.01601   0.008156          0          5        640: 100% 28/28 [01:09<00:00,  2.49s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.01s/it]\n","                   all        218        218          1          1      0.995      0.885\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    106/217      2.21G    0.01528   0.007524          0          5        640: 100% 28/28 [01:09<00:00,  2.50s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:27<00:00,  1.94s/it]\n","                   all        218        218          1          1      0.995      0.878\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    107/217      2.21G    0.01642   0.008251          0          3        640: 100% 28/28 [01:09<00:00,  2.49s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:29<00:00,  2.09s/it]\n","                   all        218        218          1          1      0.995      0.887\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    108/217      2.21G    0.01462    0.00778          0          6        640: 100% 28/28 [01:08<00:00,  2.44s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:26<00:00,  1.90s/it]\n","                   all        218        218          1          1      0.995       0.86\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    109/217      2.21G    0.01651   0.008198          0          7        640: 100% 28/28 [01:09<00:00,  2.49s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.04s/it]\n","                   all        218        218          1          1      0.995       0.88\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    110/217      2.21G    0.01671   0.007938          0          3        640: 100% 28/28 [01:07<00:00,  2.42s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:27<00:00,  1.95s/it]\n","                   all        218        218          1          1      0.995       0.88\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    111/217      2.21G    0.01535    0.00791          0          5        640: 100% 28/28 [01:09<00:00,  2.47s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:27<00:00,  1.98s/it]\n","                   all        218        218          1          1      0.995      0.884\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    112/217      2.21G    0.01439   0.007837          0          5        640: 100% 28/28 [01:10<00:00,  2.50s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:27<00:00,  1.98s/it]\n","                   all        218        218          1          1      0.995      0.842\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    113/217      2.21G    0.01465   0.007687          0          6        640: 100% 28/28 [01:08<00:00,  2.43s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:27<00:00,  1.99s/it]\n","                   all        218        218          1          1      0.995      0.894\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    114/217      2.21G    0.01418   0.007264          0          6        640: 100% 28/28 [01:09<00:00,  2.46s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.01s/it]\n","                   all        218        218          1          1      0.995      0.867\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    115/217      2.21G    0.01436   0.007611          0          2        640: 100% 28/28 [01:07<00:00,  2.40s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.03s/it]\n","                   all        218        218          1          1      0.995      0.874\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    116/217      2.21G     0.0138   0.008055          0          3        640: 100% 28/28 [01:09<00:00,  2.49s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.01s/it]\n","                   all        218        218          1          1      0.995      0.889\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    117/217      2.21G    0.01574   0.007654          0          5        640: 100% 28/28 [01:08<00:00,  2.46s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:27<00:00,  1.97s/it]\n","                   all        218        218          1          1      0.995      0.877\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    118/217      2.21G     0.0156   0.007998          0          4        640: 100% 28/28 [01:09<00:00,  2.47s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:27<00:00,  1.98s/it]\n","                   all        218        218          1          1      0.995      0.882\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    119/217      2.21G    0.01456   0.007887          0          6        640: 100% 28/28 [01:08<00:00,  2.45s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:27<00:00,  2.00s/it]\n","                   all        218        218          1          1      0.995      0.862\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    120/217      2.21G    0.01463   0.007995          0          6        640: 100% 28/28 [01:10<00:00,  2.50s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.02s/it]\n","                   all        218        218          1          1      0.995      0.868\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    121/217      2.21G    0.01536   0.007708          0          8        640: 100% 28/28 [01:08<00:00,  2.46s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:27<00:00,  1.94s/it]\n","                   all        218        218          1          1      0.995      0.893\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    122/217      2.21G    0.01448   0.007799          0          6        640: 100% 28/28 [01:09<00:00,  2.50s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:27<00:00,  1.97s/it]\n","                   all        218        218          1          1      0.995      0.851\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    123/217      2.21G    0.01487   0.007786          0          3        640: 100% 28/28 [01:09<00:00,  2.48s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.04s/it]\n","                   all        218        218          1          1      0.995      0.878\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    124/217      2.21G    0.01523   0.007944          0          5        640: 100% 28/28 [01:09<00:00,  2.47s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.01s/it]\n","                   all        218        218          1          1      0.995      0.901\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    125/217      2.21G    0.01333   0.007812          0          3        640: 100% 28/28 [01:08<00:00,  2.46s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:27<00:00,  1.99s/it]\n","                   all        218        218          1          1      0.995      0.881\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    126/217      2.21G    0.01511   0.008539          0          8        640: 100% 28/28 [01:10<00:00,  2.53s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:27<00:00,  2.00s/it]\n","                   all        218        218          1          1      0.995      0.893\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    127/217      2.21G    0.01255   0.007467          0          5        640: 100% 28/28 [01:10<00:00,  2.51s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:27<00:00,  1.99s/it]\n","                   all        218        218          1          1      0.995      0.888\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    128/217      2.21G    0.01476   0.008094          0          6        640: 100% 28/28 [01:12<00:00,  2.58s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.06s/it]\n","                   all        218        218          1          1      0.995      0.902\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    129/217      2.21G    0.01523   0.008362          0          6        640: 100% 28/28 [01:07<00:00,  2.39s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.04s/it]\n","                   all        218        218          1          1      0.995      0.876\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    130/217      2.21G    0.01284   0.007817          0          5        640: 100% 28/28 [01:10<00:00,  2.50s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:30<00:00,  2.16s/it]\n","                   all        218        218          1          1      0.995      0.896\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    131/217      2.21G     0.0152   0.008103          0          6        640: 100% 28/28 [01:08<00:00,  2.45s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:27<00:00,  1.99s/it]\n","                   all        218        218          1          1      0.995      0.905\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    132/217      2.21G    0.01458   0.008204          0          8        640: 100% 28/28 [01:10<00:00,  2.53s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:30<00:00,  2.15s/it]\n","                   all        218        218          1          1      0.995      0.899\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    133/217      2.21G    0.01353   0.007866          0          6        640: 100% 28/28 [01:08<00:00,  2.44s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.04s/it]\n","                   all        218        218          1          1      0.995      0.905\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    134/217      2.21G    0.01314   0.007666          0          5        640: 100% 28/28 [01:08<00:00,  2.43s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:27<00:00,  1.95s/it]\n","                   all        218        218          1          1      0.995      0.884\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    135/217      2.21G    0.01406   0.007514          0          5        640: 100% 28/28 [01:12<00:00,  2.57s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.05s/it]\n","                   all        218        218          1          1      0.995      0.897\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    136/217      2.21G    0.01532   0.007789          0          3        640: 100% 28/28 [01:09<00:00,  2.50s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:30<00:00,  2.17s/it]\n","                   all        218        218          1          1      0.995      0.903\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    137/217      2.21G    0.01273     0.0074          0          3        640: 100% 28/28 [01:07<00:00,  2.41s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.03s/it]\n","                   all        218        218          1          1      0.995      0.902\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    138/217      2.21G      0.014   0.007477          0          4        640: 100% 28/28 [01:10<00:00,  2.51s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:30<00:00,  2.18s/it]\n","                   all        218        218          1          1      0.995      0.901\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    139/217      2.21G    0.01279    0.00737          0          3        640: 100% 28/28 [01:09<00:00,  2.48s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:27<00:00,  1.95s/it]\n","                   all        218        218          1          1      0.995       0.89\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    140/217      2.21G    0.01451   0.007434          0          4        640: 100% 28/28 [01:12<00:00,  2.60s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:30<00:00,  2.18s/it]\n","                   all        218        218          1          1      0.995      0.903\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    141/217      2.21G    0.01375   0.007278          0          4        640: 100% 28/28 [01:09<00:00,  2.48s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.02s/it]\n","                   all        218        218          1          1      0.995      0.904\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    142/217      2.21G    0.01109   0.006463          0          3        640: 100% 28/28 [01:09<00:00,  2.50s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.02s/it]\n","                   all        218        218          1          1      0.995      0.909\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    143/217      2.21G    0.01382    0.00708          0          6        640: 100% 28/28 [01:09<00:00,  2.50s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.03s/it]\n","                   all        218        218          1          1      0.995      0.874\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    144/217      2.21G    0.01286   0.008094          0          8        640: 100% 28/28 [01:11<00:00,  2.55s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:29<00:00,  2.08s/it]\n","                   all        218        218          1          1      0.995      0.893\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    145/217      2.21G    0.01379   0.007386          0          6        640: 100% 28/28 [01:10<00:00,  2.51s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.05s/it]\n","                   all        218        218          1          1      0.995      0.902\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    146/217      2.21G    0.01517   0.007097          0          5        640: 100% 28/28 [01:09<00:00,  2.47s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.01s/it]\n","                   all        218        218          1          1      0.995      0.795\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    147/217      2.21G    0.01307   0.007736          0          5        640: 100% 28/28 [01:10<00:00,  2.53s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:27<00:00,  1.99s/it]\n","                   all        218        218          1          1      0.995      0.902\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    148/217      2.21G    0.01211   0.007167          0          6        640: 100% 28/28 [01:11<00:00,  2.54s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:27<00:00,  1.98s/it]\n","                   all        218        218          1          1      0.995      0.915\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    149/217      2.21G     0.0131   0.007494          0          7        640: 100% 28/28 [01:12<00:00,  2.59s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:27<00:00,  2.00s/it]\n","                   all        218        218          1          1      0.995      0.885\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    150/217      2.21G    0.01217   0.007387          0          8        640: 100% 28/28 [01:07<00:00,  2.42s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.06s/it]\n","                   all        218        218          1          1      0.995      0.904\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    151/217      2.21G    0.01268   0.007563          0          6        640: 100% 28/28 [01:11<00:00,  2.55s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.03s/it]\n","                   all        218        218          1          1      0.995      0.908\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    152/217      2.21G    0.01397   0.007901          0          5        640: 100% 28/28 [01:08<00:00,  2.46s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.04s/it]\n","                   all        218        218          1          1      0.995      0.916\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    153/217      2.21G    0.01326   0.007669          0          6        640: 100% 28/28 [01:10<00:00,  2.52s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.04s/it]\n","                   all        218        218          1          1      0.995      0.906\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    154/217      2.21G    0.01364   0.007158          0          6        640: 100% 28/28 [01:07<00:00,  2.42s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:27<00:00,  1.95s/it]\n","                   all        218        218          1          1      0.995      0.904\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    155/217      2.21G    0.01281   0.006806          0          5        640: 100% 28/28 [01:09<00:00,  2.48s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.02s/it]\n","                   all        218        218          1          1      0.995      0.915\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    156/217      2.21G    0.01344   0.007394          0          3        640: 100% 28/28 [01:07<00:00,  2.42s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:27<00:00,  1.99s/it]\n","                   all        218        218          1          1      0.995      0.912\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    157/217      2.21G    0.01297   0.007494          0          7        640: 100% 28/28 [01:09<00:00,  2.48s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:27<00:00,  1.99s/it]\n","                   all        218        218          1          1      0.995      0.905\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    158/217      2.21G    0.01239   0.007126          0          3        640: 100% 28/28 [01:09<00:00,  2.49s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:27<00:00,  1.97s/it]\n","                   all        218        218          1          1      0.995      0.925\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    159/217      2.21G    0.01282   0.006966          0          2        640: 100% 28/28 [01:10<00:00,  2.51s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.07s/it]\n","                   all        218        218          1          1      0.995      0.916\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    160/217      2.21G    0.01144   0.006678          0          4        640: 100% 28/28 [01:09<00:00,  2.49s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.02s/it]\n","                   all        218        218          1          1      0.995      0.926\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    161/217      2.21G    0.01225   0.007292          0          5        640: 100% 28/28 [01:10<00:00,  2.52s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.03s/it]\n","                   all        218        218          1          1      0.995      0.915\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    162/217      2.21G    0.01157   0.007483          0          7        640: 100% 28/28 [01:09<00:00,  2.50s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:29<00:00,  2.11s/it]\n","                   all        218        218          1          1      0.995       0.92\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    163/217      2.21G    0.01207   0.007401          0          7        640: 100% 28/28 [01:07<00:00,  2.42s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:29<00:00,  2.13s/it]\n","                   all        218        218          1          1      0.995      0.921\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    164/217      2.21G    0.01352   0.007259          0          4        640: 100% 28/28 [01:10<00:00,  2.52s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:27<00:00,  1.98s/it]\n","                   all        218        218          1          1      0.995      0.927\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    165/217      2.21G    0.01304   0.007522          0          6        640: 100% 28/28 [01:08<00:00,  2.45s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:29<00:00,  2.10s/it]\n","                   all        218        218          1          1      0.995      0.915\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    166/217      2.21G    0.01377   0.007286          0          5        640: 100% 28/28 [01:08<00:00,  2.44s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:27<00:00,  1.98s/it]\n","                   all        218        218          1          1      0.995      0.933\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    167/217      2.21G    0.01267   0.007297          0          6        640: 100% 28/28 [01:08<00:00,  2.46s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.02s/it]\n","                   all        218        218          1          1      0.995      0.931\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    168/217      2.21G    0.01236   0.007406          0          5        640: 100% 28/28 [01:11<00:00,  2.55s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:27<00:00,  2.00s/it]\n","                   all        218        218          1          1      0.995      0.905\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    169/217      2.21G    0.01195   0.006904          0          4        640: 100% 28/28 [01:09<00:00,  2.49s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:27<00:00,  1.99s/it]\n","                   all        218        218          1          1      0.995      0.926\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    170/217      2.21G     0.0134   0.007317          0          6        640: 100% 28/28 [01:09<00:00,  2.48s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.01s/it]\n","                   all        218        218          1          1      0.995      0.923\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    171/217      2.21G    0.01272   0.006384          0          5        640: 100% 28/28 [01:07<00:00,  2.43s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:27<00:00,  1.94s/it]\n","                   all        218        218          1          1      0.995      0.918\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    172/217      2.21G    0.01307   0.007042          0          3        640: 100% 28/28 [01:10<00:00,  2.53s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:29<00:00,  2.08s/it]\n","                   all        218        218          1          1      0.995      0.928\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    173/217      2.21G    0.01311    0.00691          0          4        640: 100% 28/28 [01:08<00:00,  2.44s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.05s/it]\n","                   all        218        218          1          1      0.995      0.933\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    174/217      2.21G     0.0118   0.006575          0          3        640: 100% 28/28 [01:09<00:00,  2.47s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.01s/it]\n","                   all        218        218          1          1      0.995      0.924\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    175/217      2.21G    0.01193   0.006714          0          5        640: 100% 28/28 [01:08<00:00,  2.46s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.04s/it]\n","                   all        218        218          1          1      0.995      0.921\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    176/217      2.21G    0.01251   0.007131          0          2        640: 100% 28/28 [01:08<00:00,  2.44s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.00s/it]\n","                   all        218        218          1          1      0.995       0.92\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    177/217      2.21G    0.01082   0.006745          0          2        640: 100% 28/28 [01:08<00:00,  2.45s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:27<00:00,  1.96s/it]\n","                   all        218        218          1          1      0.995      0.929\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    178/217      2.21G    0.01369   0.007391          0          8        640: 100% 28/28 [01:10<00:00,  2.52s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:29<00:00,  2.14s/it]\n","                   all        218        218          1          1      0.995      0.926\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    179/217      2.21G    0.01121   0.007239          0          7        640: 100% 28/28 [01:09<00:00,  2.47s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:27<00:00,  1.95s/it]\n","                   all        218        218          1          1      0.995      0.931\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    180/217      2.21G    0.01062   0.007098          0          4        640: 100% 28/28 [01:08<00:00,  2.45s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.03s/it]\n","                   all        218        218          1          1      0.995      0.913\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    181/217      2.21G    0.01353   0.007124          0          4        640: 100% 28/28 [01:09<00:00,  2.47s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.04s/it]\n","                   all        218        218          1          1      0.995      0.931\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    182/217      2.21G    0.01214   0.007316          0          5        640: 100% 28/28 [01:07<00:00,  2.40s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:27<00:00,  1.99s/it]\n","                   all        218        218          1          1      0.995      0.927\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    183/217      2.21G    0.01207   0.007071          0          7        640: 100% 28/28 [01:09<00:00,  2.48s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:27<00:00,  1.95s/it]\n","                   all        218        218          1          1      0.995       0.93\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    184/217      2.21G    0.01192    0.00677          0          4        640: 100% 28/28 [01:08<00:00,  2.46s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.05s/it]\n","                   all        218        218          1          1      0.995      0.929\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    185/217      2.21G    0.01138   0.007645          0          6        640: 100% 28/28 [01:08<00:00,  2.44s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.01s/it]\n","                   all        218        218          1          1      0.995      0.939\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    186/217      2.21G    0.01248   0.006974          0          4        640: 100% 28/28 [01:07<00:00,  2.42s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.00s/it]\n","                   all        218        218          1          1      0.995      0.927\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    187/217      2.21G    0.01226   0.006399          0          3        640: 100% 28/28 [01:09<00:00,  2.48s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.02s/it]\n","                   all        218        218          1          1      0.995      0.933\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    188/217      2.21G     0.0121   0.006816          0          4        640: 100% 28/28 [01:09<00:00,  2.48s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.05s/it]\n","                   all        218        218          1          1      0.995      0.932\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    189/217      2.21G    0.01242   0.006214          0          2        640: 100% 28/28 [01:08<00:00,  2.43s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.05s/it]\n","                   all        218        218          1          1      0.995      0.922\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    190/217      2.21G    0.01157   0.006737          0          4        640: 100% 28/28 [01:07<00:00,  2.43s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.01s/it]\n","                   all        218        218          1          1      0.995      0.934\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    191/217      2.21G    0.01111   0.006666          0          5        640: 100% 28/28 [01:09<00:00,  2.46s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:29<00:00,  2.10s/it]\n","                   all        218        218          1          1      0.995      0.919\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    192/217      2.21G    0.01334   0.006967          0          4        640: 100% 28/28 [01:08<00:00,  2.43s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:26<00:00,  1.92s/it]\n","                   all        218        218          1          1      0.995       0.93\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    193/217      2.21G    0.01204   0.006827          0          3        640: 100% 28/28 [01:09<00:00,  2.48s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:29<00:00,  2.07s/it]\n","                   all        218        218          1          1      0.995      0.937\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    194/217      2.21G    0.01094   0.006398          0          2        640: 100% 28/28 [01:09<00:00,  2.50s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.05s/it]\n","                   all        218        218          1          1      0.995      0.934\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    195/217      2.21G    0.01067   0.006477          0          3        640: 100% 28/28 [01:09<00:00,  2.49s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.06s/it]\n","                   all        218        218          1          1      0.995      0.936\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    196/217      2.21G     0.0109   0.006488          0          3        640: 100% 28/28 [01:10<00:00,  2.52s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:27<00:00,  1.98s/it]\n","                   all        218        218          1          1      0.995      0.935\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    197/217      2.21G    0.01164   0.006547          0          6        640: 100% 28/28 [01:08<00:00,  2.45s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:27<00:00,  1.98s/it]\n","                   all        218        218          1          1      0.995      0.939\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    198/217      2.21G    0.01052    0.00646          0          7        640: 100% 28/28 [01:10<00:00,  2.51s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:27<00:00,  1.99s/it]\n","                   all        218        218          1          1      0.995      0.936\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    199/217      2.21G    0.01141    0.00641          0          5        640: 100% 28/28 [01:11<00:00,  2.56s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:26<00:00,  1.92s/it]\n","                   all        218        218          1          1      0.995      0.918\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    200/217      2.21G    0.01103   0.006624          0          4        640: 100% 28/28 [01:09<00:00,  2.47s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.01s/it]\n","                   all        218        218          1          1      0.995      0.939\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    201/217      2.21G    0.01181   0.006283          0          4        640: 100% 28/28 [01:07<00:00,  2.40s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.01s/it]\n","                   all        218        218          1          1      0.995      0.929\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    202/217      2.21G    0.01006   0.006404          0          6        640: 100% 28/28 [01:09<00:00,  2.47s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.01s/it]\n","                   all        218        218          1          1      0.995      0.937\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    203/217      2.21G   0.009817   0.006528          0          4        640: 100% 28/28 [01:08<00:00,  2.46s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:27<00:00,  1.96s/it]\n","                   all        218        218          1          1      0.995      0.941\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    204/217      2.21G     0.0107   0.006752          0          4        640: 100% 28/28 [01:10<00:00,  2.50s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:27<00:00,  1.96s/it]\n","                   all        218        218          1          1      0.995      0.932\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    205/217      2.21G    0.01062   0.006447          0          3        640: 100% 28/28 [01:10<00:00,  2.50s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.05s/it]\n","                   all        218        218          1          1      0.995      0.942\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    206/217      2.21G    0.01069   0.006214          0          4        640: 100% 28/28 [01:06<00:00,  2.39s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.00s/it]\n","                   all        218        218          1          1      0.995      0.937\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    207/217      2.21G    0.01057   0.006605          0          6        640: 100% 28/28 [01:08<00:00,  2.45s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:27<00:00,  1.98s/it]\n","                   all        218        218          1          1      0.995      0.942\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    208/217      2.21G    0.01044    0.00646          0          5        640: 100% 28/28 [01:07<00:00,  2.43s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.07s/it]\n","                   all        218        218          1          1      0.995      0.941\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    209/217      2.21G    0.01051   0.006315          0          7        640: 100% 28/28 [01:08<00:00,  2.45s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:27<00:00,  1.99s/it]\n","                   all        218        218          1          1      0.995      0.942\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    210/217      2.21G    0.01094   0.005739          0          3        640: 100% 28/28 [01:09<00:00,  2.47s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.06s/it]\n","                   all        218        218          1          1      0.995      0.935\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    211/217      2.21G       0.01   0.005545          0          5        640: 100% 28/28 [01:08<00:00,  2.43s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:29<00:00,  2.07s/it]\n","                   all        218        218          1          1      0.995      0.944\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    212/217      2.21G   0.009828   0.006417          0          3        640: 100% 28/28 [01:08<00:00,  2.44s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.01s/it]\n","                   all        218        218          1          1      0.995      0.943\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    213/217      2.21G    0.01001   0.006402          0          6        640: 100% 28/28 [01:08<00:00,  2.45s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.03s/it]\n","                   all        218        218          1          1      0.995      0.945\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    214/217      2.21G     0.0131   0.006567          0          4        640: 100% 28/28 [01:08<00:00,  2.46s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.04s/it]\n","                   all        218        218          1          1      0.995      0.942\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    215/217      2.21G    0.01027   0.006752          0          4        640: 100% 28/28 [01:08<00:00,  2.45s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:27<00:00,  1.96s/it]\n","                   all        218        218          1          1      0.995      0.942\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    216/217      2.21G    0.01187   0.006512          0          5        640: 100% 28/28 [01:08<00:00,  2.45s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:27<00:00,  1.95s/it]\n","                   all        218        218          1          1      0.995      0.943\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","    217/217      2.21G    0.01064   0.006097          0          3        640: 100% 28/28 [01:10<00:00,  2.53s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:28<00:00,  2.03s/it]\n","                   all        218        218          1          1      0.995      0.944\n","\n","218 epochs completed in 5.977 hours.\n","Optimizer stripped from runs/train/FH_Posture/weights/last.pt, 14.4MB\n","Optimizer stripped from runs/train/FH_Posture/weights/best.pt, 14.4MB\n","\n","Validating runs/train/FH_Posture/weights/best.pt...\n","Fusing layers... \n","YOLOv5s summary: 157 layers, 7012822 parameters, 0 gradients, 15.8 GFLOPs\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 14/14 [00:23<00:00,  1.64s/it]\n","                   all        218        218          1          1      0.995      0.944\n","Results saved to \u001b[1mruns/train/FH_Posture\u001b[0m\n"]}],"source":["!python train.py --data /content/drive/MyDrive/OpenSource_FH_Posture_img_labeling/data.yaml --cfg /content/yolov5/models/yolov5s.yaml --weights yolov5s.pt --batch 8 --epochs 218 --name FH_Posture"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":5540,"status":"ok","timestamp":1669375286792,"user":{"displayName":"강병준","userId":"05943417092754560855"},"user_tz":-540},"id":"VyASxxp0MD6k","outputId":"b712f08c-33e0-4ffb-cbd7-1fb8b430af57"},"outputs":[{"output_type":"stream","name":"stdout","text":["updating: content/yolov5/ (stored 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max_det=300, task=val, device=, workers=8, single_cls=False, augment=False, verbose=False, save_txt=False, save_hybrid=False, save_conf=False, save_json=False, project=runs/val, name=exp, exist_ok=False, half=False, dnn=False\n","YOLOv5 🚀 v7.0-5-gbfa1f23 Python-3.7.15 torch-1.12.1+cu113 CUDA:0 (Tesla T4, 15110MiB)\n","\n","Fusing layers... \n","YOLOv5s summary: 157 layers, 7012822 parameters, 0 gradients, 15.8 GFLOPs\n","\u001b[34m\u001b[1mval: \u001b[0mScanning /content/drive/MyDrive/OpenSource_FH_Posture_img_labeling/labels.cache... 218 images, 0 backgrounds, 0 corrupt: 100% 218/218 [00:00<?, ?it/s]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 7/7 [00:36<00:00,  5.19s/it]\n","                   all        218        218       0.96       0.94      0.972      0.366\n","Speed: 1.0ms pre-process, 18.7ms inference, 1.8ms NMS per image at shape (32, 3, 1280, 1280)\n","Results saved to \u001b[1mruns/val/exp3\u001b[0m\n"]}],"source":["!python val.py --data \"/content/drive/MyDrive/OpenSource_FH_Posture_img_labeling/data.yaml\" --img 1280 --weights \"/content/yolov5/runs/train/FH_Posture/weights/best.pt\""]},{"cell_type":"code","execution_count":15,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":8089,"status":"ok","timestamp":1669375928157,"user":{"displayName":"강병준","userId":"05943417092754560855"},"user_tz":-540},"id":"6Gyg0qcPO11w","outputId":"334907ce-bdd8-44ac-f11e-29dee8defca4"},"outputs":[{"output_type":"stream","name":"stdout","text":["\u001b[34m\u001b[1mdetect: \u001b[0mweights=['/content/yolov5/runs/train/FH_Posture/weights/best.pt'], source=/content/drive/MyDrive/OpenSource_FH_Posture_img_labeling/test.jpg, data=data/coco128.yaml, imgsz=[1280, 1280], conf_thres=0.25, iou_thres=0.45, max_det=1000, device=, view_img=False, save_txt=False, save_conf=False, save_crop=False, nosave=False, classes=None, agnostic_nms=False, augment=False, visualize=False, update=False, project=runs/detect, name=exp, exist_ok=False, line_thickness=3, hide_labels=False, hide_conf=False, half=False, dnn=False, vid_stride=1\n","YOLOv5 🚀 v7.0-5-gbfa1f23 Python-3.7.15 torch-1.12.1+cu113 CUDA:0 (Tesla T4, 15110MiB)\n","\n","Fusing layers... \n","YOLOv5s summary: 157 layers, 7012822 parameters, 0 gradients, 15.8 GFLOPs\n","image 1/1 /content/drive/MyDrive/OpenSource_FH_Posture_img_labeling/test.jpg: 1280x864 3 users, 24.4ms\n","Speed: 1.3ms pre-process, 24.4ms inference, 1.4ms NMS per image at shape (1, 3, 1280, 1280)\n","Results saved to \u001b[1mruns/detect/exp2\u001b[0m\n"]}],"source":["!python detect.py --img 1280 --weights \"/content/yolov5/runs/train/FH_Posture/weights/best.pt\" --source \"/content/drive/MyDrive/OpenSource_FH_Posture_img_labeling/test.jpg\""]},{"cell_type":"code","execution_count":null,"metadata":{"id":"pBxFER_5Qvs5"},"outputs":[],"source":[]}],"metadata":{"accelerator":"GPU","colab":{"machine_shape":"hm","provenance":[]},"gpuClass":"premium","kernelspec":{"display_name":"Python 3","name":"python3"},"language_info":{"name":"python"}},"nbformat":4,"nbformat_minor":0}