detection.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "f7afed3a-dc9e-446b-9a69-24ed4a62b2a1",
   "metadata": {},
   "source": [
    "## Model Training"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "c22dfe5e-34cd-42a2-a4f5-4f2b1edabf86",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Cloning into 'yolov5'...\n",
      "remote: Enumerating objects: 16408, done.\u001b[K\n",
      "remote: Total 16408 (delta 0), reused 0 (delta 0), pack-reused 16408\u001b[K\n",
      "Receiving objects: 100% (16408/16408), 14.94 MiB | 15.09 MiB/s, done.\n",
      "Resolving deltas: 100% (11260/11260), done.\n",
      "Requirement already satisfied: gitpython>=3.1.30 in /storage/user_data/ahmed.abdelgawad/venvs/yolo_obj_project_1/lib/python3.8/site-packages (from -r yolov5/requirements.txt (line 5)) (3.1.41)\n",
      "Requirement already satisfied: matplotlib>=3.3 in /storage/user_data/ahmed.abdelgawad/venvs/yolo_obj_project_1/lib/python3.8/site-packages (from -r yolov5/requirements.txt (line 6)) (3.7.4)\n",
      "Requirement already satisfied: numpy>=1.23.5 in /storage/user_data/ahmed.abdelgawad/venvs/yolo_obj_project_1/lib/python3.8/site-packages (from -r yolov5/requirements.txt (line 7)) (1.24.4)\n",
      "Requirement already satisfied: opencv-python>=4.1.1 in /storage/user_data/ahmed.abdelgawad/venvs/yolo_obj_project_1/lib/python3.8/site-packages (from -r yolov5/requirements.txt (line 8)) (4.9.0.80)\n",
      "Requirement already satisfied: Pillow>=9.4.0 in /storage/user_data/ahmed.abdelgawad/venvs/yolo_obj_project_1/lib/python3.8/site-packages (from -r yolov5/requirements.txt (line 9)) (10.2.0)\n",
      "Requirement already satisfied: psutil in /storage/user_data/ahmed.abdelgawad/venvs/yolo_obj_project_1/lib/python3.8/site-packages (from -r yolov5/requirements.txt (line 10)) (5.9.8)\n",
      "Requirement already satisfied: PyYAML>=5.3.1 in /storage/user_data/ahmed.abdelgawad/venvs/yolo_obj_project_1/lib/python3.8/site-packages (from -r yolov5/requirements.txt (line 11)) (6.0.1)\n",
      "Requirement already satisfied: requests>=2.23.0 in /storage/user_data/ahmed.abdelgawad/venvs/yolo_obj_project_1/lib/python3.8/site-packages (from -r yolov5/requirements.txt (line 12)) (2.31.0)\n",
      "Requirement already satisfied: scipy>=1.4.1 in /storage/user_data/ahmed.abdelgawad/venvs/yolo_obj_project_1/lib/python3.8/site-packages (from -r yolov5/requirements.txt (line 13)) (1.10.1)\n",
      "Requirement already satisfied: thop>=0.1.1 in /storage/user_data/ahmed.abdelgawad/venvs/yolo_obj_project_1/lib/python3.8/site-packages (from -r yolov5/requirements.txt (line 14)) (0.1.1.post2209072238)\n",
      "Requirement already satisfied: torch>=1.8.0 in /storage/user_data/ahmed.abdelgawad/venvs/yolo_obj_project_1/lib/python3.8/site-packages (from -r yolov5/requirements.txt (line 15)) (1.13.1+cu117)\n",
      "Requirement already satisfied: torchvision>=0.9.0 in /storage/user_data/ahmed.abdelgawad/venvs/yolo_obj_project_1/lib/python3.8/site-packages (from -r yolov5/requirements.txt (line 16)) (0.14.1+cu117)\n",
      "Requirement already satisfied: tqdm>=4.64.0 in /storage/user_data/ahmed.abdelgawad/venvs/yolo_obj_project_1/lib/python3.8/site-packages (from -r yolov5/requirements.txt (line 17)) (4.66.1)\n",
      "Requirement already satisfied: ultralytics>=8.0.232 in /storage/user_data/ahmed.abdelgawad/venvs/yolo_obj_project_1/lib/python3.8/site-packages (from -r yolov5/requirements.txt (line 18)) (8.1.9)\n",
      "Requirement already satisfied: pandas>=1.1.4 in /storage/user_data/ahmed.abdelgawad/venvs/yolo_obj_project_1/lib/python3.8/site-packages (from -r yolov5/requirements.txt (line 27)) (2.0.3)\n",
      "Requirement already satisfied: seaborn>=0.11.0 in /storage/user_data/ahmed.abdelgawad/venvs/yolo_obj_project_1/lib/python3.8/site-packages (from -r yolov5/requirements.txt (line 28)) (0.13.2)\n",
      "Requirement already satisfied: setuptools>=65.5.1 in /storage/user_data/ahmed.abdelgawad/venvs/yolo_obj_project_1/lib/python3.8/site-packages (from -r yolov5/requirements.txt (line 42)) (69.0.3)\n",
      "Requirement already satisfied: gitdb<5,>=4.0.1 in /storage/user_data/ahmed.abdelgawad/venvs/yolo_obj_project_1/lib/python3.8/site-packages (from gitpython>=3.1.30->-r yolov5/requirements.txt (line 5)) (4.0.11)\n",
      "Requirement already satisfied: pyparsing>=2.3.1 in /storage/user_data/ahmed.abdelgawad/venvs/yolo_obj_project_1/lib/python3.8/site-packages (from matplotlib>=3.3->-r yolov5/requirements.txt (line 6)) (3.1.1)\n",
      "Requirement already satisfied: contourpy>=1.0.1 in /storage/user_data/ahmed.abdelgawad/venvs/yolo_obj_project_1/lib/python3.8/site-packages (from matplotlib>=3.3->-r yolov5/requirements.txt (line 6)) (1.1.1)\n",
      "Requirement already satisfied: packaging>=20.0 in /storage/user_data/ahmed.abdelgawad/venvs/yolo_obj_project_1/lib/python3.8/site-packages (from matplotlib>=3.3->-r yolov5/requirements.txt (line 6)) (23.2)\n",
      "Requirement already satisfied: python-dateutil>=2.7 in /storage/user_data/ahmed.abdelgawad/venvs/yolo_obj_project_1/lib/python3.8/site-packages (from matplotlib>=3.3->-r yolov5/requirements.txt (line 6)) (2.8.2)\n",
      "Requirement already satisfied: importlib-resources>=3.2.0; python_version < \"3.10\" in /storage/user_data/ahmed.abdelgawad/venvs/yolo_obj_project_1/lib/python3.8/site-packages (from matplotlib>=3.3->-r yolov5/requirements.txt (line 6)) (6.1.1)\n",
      "Requirement already satisfied: kiwisolver>=1.0.1 in /storage/user_data/ahmed.abdelgawad/venvs/yolo_obj_project_1/lib/python3.8/site-packages (from matplotlib>=3.3->-r yolov5/requirements.txt (line 6)) (1.4.5)\n",
      "Requirement already satisfied: fonttools>=4.22.0 in /storage/user_data/ahmed.abdelgawad/venvs/yolo_obj_project_1/lib/python3.8/site-packages (from matplotlib>=3.3->-r yolov5/requirements.txt (line 6)) (4.47.2)\n",
      "Requirement already satisfied: cycler>=0.10 in /storage/user_data/ahmed.abdelgawad/venvs/yolo_obj_project_1/lib/python3.8/site-packages (from matplotlib>=3.3->-r yolov5/requirements.txt (line 6)) (0.10.0)\n",
      "Requirement already satisfied: charset-normalizer<4,>=2 in /storage/user_data/ahmed.abdelgawad/venvs/yolo_obj_project_1/lib/python3.8/site-packages (from requests>=2.23.0->-r yolov5/requirements.txt (line 12)) (3.3.2)\n",
      "Requirement already satisfied: urllib3<3,>=1.21.1 in /storage/user_data/ahmed.abdelgawad/venvs/yolo_obj_project_1/lib/python3.8/site-packages (from requests>=2.23.0->-r yolov5/requirements.txt (line 12)) (1.26.18)\n",
      "Requirement already satisfied: idna<4,>=2.5 in /storage/user_data/ahmed.abdelgawad/venvs/yolo_obj_project_1/lib/python3.8/site-packages (from requests>=2.23.0->-r yolov5/requirements.txt (line 12)) (2.10)\n",
      "Requirement already satisfied: certifi>=2017.4.17 in /storage/user_data/ahmed.abdelgawad/venvs/yolo_obj_project_1/lib/python3.8/site-packages (from requests>=2.23.0->-r yolov5/requirements.txt (line 12)) (2023.7.22)\n",
      "Requirement already satisfied: typing-extensions in /storage/user_data/ahmed.abdelgawad/venvs/yolo_obj_project_1/lib/python3.8/site-packages (from torch>=1.8.0->-r yolov5/requirements.txt (line 15)) (4.9.0)\n",
      "Requirement already satisfied: py-cpuinfo in /storage/user_data/ahmed.abdelgawad/venvs/yolo_obj_project_1/lib/python3.8/site-packages (from ultralytics>=8.0.232->-r yolov5/requirements.txt (line 18)) (9.0.0)\n",
      "Requirement already satisfied: tzdata>=2022.1 in /storage/user_data/ahmed.abdelgawad/venvs/yolo_obj_project_1/lib/python3.8/site-packages (from pandas>=1.1.4->-r yolov5/requirements.txt (line 27)) (2023.4)\n",
      "Requirement already satisfied: pytz>=2020.1 in /storage/user_data/ahmed.abdelgawad/venvs/yolo_obj_project_1/lib/python3.8/site-packages (from pandas>=1.1.4->-r yolov5/requirements.txt (line 27)) (2023.4)\n",
      "Requirement already satisfied: smmap<6,>=3.0.1 in /storage/user_data/ahmed.abdelgawad/venvs/yolo_obj_project_1/lib/python3.8/site-packages (from gitdb<5,>=4.0.1->gitpython>=3.1.30->-r yolov5/requirements.txt (line 5)) (5.0.1)\n",
      "Requirement already satisfied: six>=1.5 in /storage/user_data/ahmed.abdelgawad/venvs/yolo_obj_project_1/lib/python3.8/site-packages (from python-dateutil>=2.7->matplotlib>=3.3->-r yolov5/requirements.txt (line 6)) (1.16.0)\n",
      "Requirement already satisfied: zipp>=3.1.0; python_version < \"3.10\" in /storage/user_data/ahmed.abdelgawad/venvs/yolo_obj_project_1/lib/python3.8/site-packages (from importlib-resources>=3.2.0; python_version < \"3.10\"->matplotlib>=3.3->-r yolov5/requirements.txt (line 6)) (3.17.0)\n"
     ]
    }
   ],
   "source": [
    "!git clone https://github.com/ultralytics/yolov5\n",
    "\n",
    "!pip install -r yolov5/requirements.txt\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6f2c6b2e-1a22-455b-b3e3-c26556a9786f",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "2605cba0-516c-4aab-8ffa-326b4393b189",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[34m\u001b[1mtrain: \u001b[0mweights=, cfg=detection/yolov5s.yaml, data=detection/data.yaml, hyp=yolov5/data/hyps/hyp.scratch-low.yaml, epochs=120, batch_size=64, imgsz=640, rect=False, resume=False, nosave=False, noval=False, noautoanchor=False, noplots=False, evolve=None, evolve_population=yolov5/data/hyps, resume_evolve=None, bucket=, cache=None, image_weights=False, device=, multi_scale=False, single_cls=False, optimizer=SGD, sync_bn=False, workers=8, project=yolov5/runs/train, name=exp, 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, ndjson_console=False, ndjson_file=False\n",
      "\u001b[34m\u001b[1mgithub: \u001b[0mskipping check (offline), for updates see https://github.com/ultralytics/yolov5\n",
      "YOLOv5 🚀 v7.0-283-g875d9278 Python-3.8.10 torch-1.13.1+cu117 CUDA:0 (NVIDIA GeForce RTX 3090, 24259MiB)\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[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 yolov5/runs/train', view at http://localhost:6006/\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",
      "\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[1mtrain: \u001b[0mScanning /home2/ahmed.abdelgawad/my_projects/yolo_obj_project_1/train-yol\u001b[0m\n",
      "\u001b[34m\u001b[1mval: \u001b[0mScanning /home2/ahmed.abdelgawad/my_projects/yolo_obj_project_1/train-yolov\u001b[0m\n",
      "\n",
      "\u001b[34m\u001b[1mAutoAnchor: \u001b[0m3.62 anchors/target, 0.999 Best Possible Recall (BPR). Current anchors are a good fit to dataset ✅\n",
      "Plotting labels to yolov5/runs/train/exp6/labels.jpg... \n",
      "Image sizes 640 train, 640 val\n",
      "Using 8 dataloader workers\n",
      "Logging results to \u001b[1myolov5/runs/train/exp6\u001b[0m\n",
      "Starting training for 120 epochs...\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "      0/119      12.8G     0.1075    0.03369          0         80        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   WARNING ⚠️ NMS time limit 3.700s exceeded\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71     0.0022      0.521    0.00168   0.000494\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "      1/119      13.5G    0.09691    0.03328          0         75        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71     0.0012      0.324   0.000794    0.00023\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "      2/119      13.5G    0.08954    0.03246          0         79        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71   0.000729      0.197   0.000563   0.000186\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "      3/119      13.5G    0.08419    0.03351          0        102        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71   0.000833      0.225    0.00071   0.000224\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "      4/119      13.5G    0.08322    0.03186          0         81        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71    0.00229       0.62    0.00317    0.00095\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "      5/119      13.5G    0.08172    0.03063          0         99        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71    0.00125      0.338      0.024    0.00678\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "      6/119      13.5G    0.08277    0.03042          0         95        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71     0.0012      0.324    0.00247   0.000698\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "      7/119      13.5G    0.08275    0.03172          0         94        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71    0.00109      0.296    0.00524    0.00127\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "      8/119      13.5G    0.08073    0.03154          0         83        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71    0.00151      0.408    0.00419   0.000959\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "      9/119      13.5G    0.07831     0.0314          0         66        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71    0.00187      0.507       0.01    0.00263\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     10/119      13.5G    0.07657    0.03315          0         92        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71    0.00156      0.423     0.0044   0.000957\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     11/119      13.5G    0.07598    0.03319          0         84        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71   0.000833      0.225    0.00198   0.000454\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     12/119      13.5G    0.07547    0.03349          0         83        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71    0.00161      0.437    0.00719    0.00122\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     13/119      13.5G    0.07498    0.03257          0         99        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71    0.00177      0.479    0.00844    0.00199\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     14/119      13.5G    0.07261    0.03305          0         90        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71    0.00193      0.521    0.00807    0.00193\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     15/119      13.5G    0.07192    0.03284          0         83        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71    0.00221      0.577      0.011    0.00231\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     16/119      13.5G    0.07044     0.0338          0         91        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71    0.00422      0.535    0.00873     0.0016\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     17/119      13.5G    0.06965    0.03281          0         79        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71    0.00419     0.0704    0.00263   0.000655\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     18/119      13.5G    0.06743    0.03452          0         87        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71    0.00208      0.479    0.00185   0.000408\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     19/119      13.5G    0.06599    0.03299          0         85        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71    0.00187      0.507    0.00312   0.000789\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     20/119      13.5G    0.06433     0.0329          0         94        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.017     0.0141    0.00683    0.00153\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     21/119      13.5G    0.06322    0.03305          0         80        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71     0.0829      0.141     0.0751     0.0153\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     22/119      13.5G    0.06456    0.03233          0         82        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.198      0.408      0.187     0.0578\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     23/119      13.5G    0.05953    0.03101          0         81        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.425      0.448      0.439      0.147\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     24/119      13.5G    0.05971    0.03148          0         84        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.127      0.239     0.0941     0.0307\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     25/119      13.5G    0.05884    0.03226          0         95        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71     0.0629      0.634     0.0823     0.0259\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     26/119      13.5G    0.05769    0.03273          0         76        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71       0.34      0.385      0.282        0.1\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     27/119      13.5G    0.05575    0.02998          0         86        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.417      0.479      0.386       0.15\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     28/119      13.5G    0.05602    0.03057          0         91        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.282       0.38      0.297     0.0934\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     29/119      13.5G    0.05498    0.03075          0         84        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.291      0.408      0.232     0.0866\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     30/119      13.5G    0.05385    0.03081          0         96        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.422      0.493      0.411      0.138\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     31/119      13.5G    0.05382     0.0299          0         82        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.414      0.451      0.385       0.15\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     32/119      13.5G    0.05158    0.03039          0         81        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.274      0.366      0.238     0.0909\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     33/119      13.5G    0.05113    0.03005          0         56        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.621      0.704       0.63      0.235\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     34/119      13.5G    0.05203     0.0291          0         89        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.695      0.772      0.748      0.325\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     35/119      13.5G    0.05038    0.02991          0         77        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.406      0.521      0.391       0.17\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     36/119      13.5G    0.04995    0.02901          0         69        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.695      0.577      0.685      0.324\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     37/119      13.5G    0.05033    0.02909          0         97        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.646      0.539      0.632      0.335\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     38/119      13.5G    0.04738    0.02788          0         83        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.642      0.505      0.576      0.229\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     39/119      13.5G    0.04778    0.02965          0         85        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71       0.43        0.5      0.446      0.215\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     40/119      13.5G    0.04783    0.03006          0         90        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.562      0.634      0.623      0.297\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     41/119      13.5G    0.04553    0.02756          0         78        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.773      0.549      0.683      0.367\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     42/119      13.5G    0.04757    0.02746          0         78        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.762      0.677       0.77      0.356\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     43/119      13.5G    0.04731    0.02825          0         77        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.666      0.647      0.668      0.323\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     44/119      13.5G    0.04654    0.02813          0         79        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.854      0.831      0.879      0.422\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     45/119      13.5G    0.04548    0.02774          0         80        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.762      0.746      0.801       0.39\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     46/119      13.5G    0.04603    0.02734          0         83        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.824      0.803      0.888      0.473\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     47/119      13.5G     0.0441    0.02705          0         78        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.807      0.761      0.852      0.458\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     48/119      13.5G    0.04335    0.02701          0         76        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.577      0.538      0.539      0.302\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     49/119      13.5G    0.04442    0.02757          0         71        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.591      0.592      0.626      0.332\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     50/119      13.5G    0.04396    0.02637          0         74        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.722      0.768      0.814      0.428\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     51/119      13.5G     0.0434    0.02697          0         78        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.819      0.775        0.8      0.429\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     52/119      13.5G    0.04227    0.02665          0         92        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.736      0.747      0.785      0.393\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     53/119      13.5G    0.04204    0.02632          0         94        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.749      0.746      0.832      0.404\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     54/119      13.5G    0.04177    0.02633          0         79        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71       0.82      0.746       0.85      0.445\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     55/119      13.5G    0.04221    0.02603          0         76        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.645      0.746      0.741      0.384\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     56/119      13.5G    0.04098    0.02652          0        104        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71       0.71       0.76      0.769      0.395\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     57/119      13.5G    0.04168    0.02519          0         86        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.821      0.732      0.808      0.453\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     58/119      13.5G    0.04099    0.02702          0         75        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.804       0.69      0.766      0.372\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     59/119      13.5G    0.04137    0.02571          0         83        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.741      0.565      0.715      0.422\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     60/119      13.5G    0.04069    0.02541          0         77        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.736      0.732      0.818      0.427\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     61/119      13.5G    0.04054    0.02544          0         79        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.789      0.831      0.858      0.469\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     62/119      13.5G    0.04006    0.02517          0         80        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.771      0.746      0.801      0.455\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     63/119      13.5G    0.04034    0.02624          0         84        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.862      0.795      0.886      0.513\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     64/119      13.5G    0.03887    0.02558          0         87        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.813      0.803      0.882      0.514\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     65/119      13.5G    0.03874    0.02544          0         87        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.706      0.817      0.813      0.445\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     66/119      13.5G    0.03993    0.02425          0        105        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.764      0.775      0.816      0.459\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     67/119      13.5G     0.0372    0.02462          0         81        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.878      0.812      0.904      0.503\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     68/119      13.5G    0.03831     0.0255          0         86        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.807      0.789      0.866      0.494\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     69/119      13.5G    0.03753    0.02542          0         86        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71       0.81      0.775      0.881      0.507\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     70/119      13.5G    0.03636    0.02488          0        108        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71       0.77      0.845      0.873      0.498\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     71/119      13.5G    0.03796    0.02503          0         81        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71       0.84      0.885      0.904      0.528\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     72/119      13.5G    0.03696    0.02387          0         85        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.743      0.831      0.865       0.49\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     73/119      13.5G    0.03634    0.02467          0        101        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.845      0.775      0.878      0.516\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     74/119      13.5G    0.03614    0.02346          0         77        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.808      0.829      0.873      0.512\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     75/119      13.5G    0.03697    0.02435          0        114        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71       0.85      0.881      0.918      0.539\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     76/119      13.5G    0.03511    0.02315          0         83        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.817      0.629      0.794      0.466\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     77/119      13.5G    0.03598    0.02445          0         97        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.736      0.803      0.812      0.451\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     78/119      13.5G     0.0365    0.02476          0         85        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.914      0.749      0.901      0.553\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     79/119      13.5G    0.03548     0.0236          0         87        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.934      0.798      0.919      0.527\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     80/119      13.5G    0.03605    0.02362          0         79        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.815      0.807      0.884      0.509\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     81/119      13.5G    0.03483    0.02361          0        108        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71       0.85      0.876      0.918       0.56\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     82/119      13.5G    0.03459    0.02386          0         80        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.888      0.775      0.894      0.527\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     83/119      13.5G    0.03492    0.02301          0         94        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.835      0.857       0.91      0.573\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     84/119      13.5G    0.03502    0.02298          0         86        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.868      0.836      0.915      0.555\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     85/119      13.5G    0.03451    0.02307          0         90        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.924      0.803       0.91      0.547\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     86/119      13.5G      0.034    0.02261          0         94        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.786      0.877      0.877      0.532\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     87/119      13.5G    0.03406    0.02272          0         63        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.849      0.859      0.873      0.518\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     88/119      13.5G    0.03545    0.02287          0         89        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.857      0.847      0.923      0.565\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     89/119      13.5G    0.03411    0.02277          0         95        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.895      0.887      0.936       0.57\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     90/119      13.5G    0.03306    0.02244          0         76        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.848      0.887       0.92      0.552\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     91/119      13.5G    0.03188    0.02283          0         72        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.834       0.85      0.915      0.545\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     92/119      13.5G     0.0319    0.02203          0         87        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.882      0.839      0.928      0.554\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     93/119      13.5G    0.03285    0.02349          0         77        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.882      0.831      0.892       0.55\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     94/119      13.5G     0.0321    0.02261          0         84        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.871      0.853      0.926      0.556\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     95/119      13.5G    0.03117    0.02217          0         83        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.938       0.85      0.941      0.574\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     96/119      13.5G    0.03095    0.02234          0         84        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.924      0.854       0.96      0.599\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     97/119      13.5G    0.03252    0.02231          0         86        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.878       0.81      0.913      0.579\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     98/119      13.5G    0.03153    0.02221          0         83        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.885      0.869      0.941       0.59\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     99/119      13.5G    0.03177    0.02156          0         88        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.833      0.913      0.926      0.572\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "    100/119      13.5G    0.03164    0.02189          0         87        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.864      0.898      0.947       0.58\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "    101/119      13.5G    0.03137    0.02187          0         98        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.935      0.845      0.929      0.587\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "    102/119      13.5G    0.03187     0.0213          0         82        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.878       0.93      0.946      0.599\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "    103/119      13.5G    0.03176    0.02175          0         89        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.882      0.887       0.92      0.572\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "    104/119      13.5G    0.03124    0.02184          0         93        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.908      0.873       0.95      0.587\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "    105/119      13.5G    0.03014    0.02082          0         88        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.873      0.859      0.924      0.587\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "    106/119      13.5G    0.02964    0.02074          0         82        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.914      0.903      0.936      0.597\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "    107/119      13.5G    0.02977    0.02113          0         75        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.884      0.845      0.923       0.59\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "    108/119      13.5G    0.02847    0.02032          0         84        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.916      0.917      0.955      0.605\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "    109/119      13.5G     0.0292    0.01986          0         83        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71       0.89      0.915      0.938      0.609\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "    110/119      13.5G    0.02954    0.02024          0         71        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.796      0.932       0.93      0.594\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "    111/119      13.5G    0.02995    0.02073          0         94        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71        0.9      0.884      0.946      0.592\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "    112/119      13.5G    0.03051    0.02113          0         75        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.917      0.845      0.929      0.592\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "    113/119      13.5G    0.02974    0.02042          0         82        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71       0.93      0.887      0.947      0.595\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "    114/119      13.5G    0.02893    0.01992          0         76        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.901      0.898      0.945      0.606\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "    115/119      13.5G    0.02798    0.02045          0         70        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.895       0.84      0.924      0.592\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "    116/119      13.5G    0.02835      0.021          0         96        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.953      0.859      0.953      0.603\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "    117/119      13.5G    0.02962    0.02021          0         66        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.947      0.831      0.934      0.592\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "    118/119      13.5G    0.02792    0.02058          0        109        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.925      0.868      0.933      0.596\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "    119/119      13.5G    0.02931    0.02002          0         79        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.841      0.944      0.947      0.604\n",
      "\n",
      "120 epochs completed in 0.263 hours.\n",
      "Optimizer stripped from yolov5/runs/train/exp6/weights/last.pt, 14.4MB\n",
      "Optimizer stripped from yolov5/runs/train/exp6/weights/best.pt, 14.4MB\n",
      "\n",
      "Validating yolov5/runs/train/exp6/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   \n",
      "                   all         64         71       0.89      0.915      0.937      0.609\n",
      "Results saved to \u001b[1myolov5/runs/train/exp6\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "!python yolov5/train.py --img-size 640 --batch-size 64 --epochs 120 --data detection/data.yaml --weights '' --cfg detection/yolov5s.yaml"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "85c06d86-d9d3-4a31-a2e5-e4cef1e14a5a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[34m\u001b[1mval: \u001b[0mdata=detection/data.yaml, weights=['yolov5/runs/train/exp6/weights/best.pt'], batch_size=32, imgsz=640, conf_thres=0.001, iou_thres=0.6, 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=yolov5/runs/val, name=exp, exist_ok=False, half=False, dnn=False\n",
      "YOLOv5 🚀 v7.0-283-g875d9278 Python-3.8.10 torch-1.13.1+cu117 CUDA:0 (NVIDIA GeForce RTX 3090, 24259MiB)\n",
      "\n",
      "Fusing layers... \n",
      "YOLOv5s summary: 157 layers, 7012822 parameters, 0 gradients, 15.8 GFLOPs\n",
      "\u001b[34m\u001b[1mval: \u001b[0mScanning /home2/ahmed.abdelgawad/my_projects/yolo_obj_project_1/train-yolov\u001b[0m\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all         64         71      0.867      0.901      0.943      0.615\n",
      "Speed: 0.2ms pre-process, 1.7ms inference, 1.6ms NMS per image at shape (32, 3, 640, 640)\n",
      "Results saved to \u001b[1myolov5/runs/val/exp2\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "!python yolov5/val.py --weights yolov5/runs/train/exp6/weights/best.pt --data detection/data.yaml "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5a0e7f10-996f-409e-8f4d-ebb74fdc65e9",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "19cdde58-4bdd-4244-b425-94ae4f779af9",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "c483c27f-5afd-4ed0-9e8d-2821c322274a",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[34m\u001b[1mtrain: \u001b[0mweights=yolov5/yolov5s.pt, cfg=, data=detection/data.yaml, hyp=yolov5/data/hyps/hyp.scratch-low.yaml, epochs=140, batch_size=128, imgsz=640, rect=False, resume=False, nosave=False, noval=False, noautoanchor=False, noplots=False, evolve=None, evolve_population=yolov5/data/hyps, resume_evolve=None, bucket=, cache=None, image_weights=False, device=, multi_scale=False, single_cls=False, optimizer=SGD, sync_bn=False, workers=8, project=logs/train, name=exp, 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, ndjson_console=False, ndjson_file=False\n",
      "\u001b[34m\u001b[1mgithub: \u001b[0mskipping check (offline), for updates see https://github.com/ultralytics/yolov5\n",
      "YOLOv5 🚀 v7.0-283-g875d9278 Python-3.8.10 torch-1.13.1+cu117 CUDA:0 (NVIDIA GeForce RTX 3090, 24259MiB)\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[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 logs/train', view at http://localhost:6006/\n",
      "Overriding model.yaml nc=80 with nc=3\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     21576  models.yolo.Detect                      [3, [[10, 13, 16, 30, 33, 23], [30, 61, 62, 45, 59, 119], [116, 90, 156, 198, 373, 326]], [128, 256, 512]]\n",
      "Model summary: 214 layers, 7027720 parameters, 7027720 gradients, 16.0 GFLOPs\n",
      "\n",
      "Transferred 343/349 items from yolov5/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=0.001), 60 bias\n",
      "\u001b[34m\u001b[1mtrain: \u001b[0mScanning /home2/ahmed.abdelgawad/my_projects/yolo_obj_project_1/train-yol\u001b[0m\n",
      "\u001b[34m\u001b[1mval: \u001b[0mScanning /home2/ahmed.abdelgawad/my_projects/yolo_obj_project_1/train-yolov\u001b[0m\n",
      "\n",
      "\u001b[34m\u001b[1mAutoAnchor: \u001b[0m4.13 anchors/target, 1.000 Best Possible Recall (BPR). Current anchors are a good fit to dataset ✅\n",
      "Plotting labels to logs/train/exp2/labels.jpg... \n",
      "Image sizes 640 train, 640 val\n",
      "Using 8 dataloader workers\n",
      "Logging results to \u001b[1mlogs/train/exp2\u001b[0m\n",
      "Starting training for 140 epochs...\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "      0/139      22.8G    0.07402    0.03282    0.02524        387        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        433        634      0.406      0.671      0.522      0.289\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "      1/139      22.9G    0.05491    0.02595    0.01096        353        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        433        634      0.592      0.727       0.68      0.359\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "      2/139      22.9G     0.0487    0.02435   0.007601        389        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        433        634      0.746      0.653      0.732      0.409\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "      5/139      22.9G    0.03971     0.0252   0.006967        462        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        433        634      0.692      0.658      0.693      0.416\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "      6/139      22.9G    0.03932    0.02438   0.005648        360        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        433        634      0.756      0.664      0.736      0.459\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "      7/139      22.9G    0.03833    0.02456   0.005201        387        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        433        634       0.72      0.591      0.683      0.444\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "      8/139      22.9G    0.03794    0.02412   0.005562        408        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        433        634      0.653      0.677      0.658      0.412\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "      9/139      22.9G     0.0372    0.02381   0.004822        370        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        433        634      0.648      0.588       0.64      0.405\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     10/139      22.9G    0.03684    0.02423   0.005004        361        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        433        634      0.753      0.696      0.734       0.48\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     11/139      22.9G    0.03628    0.02372   0.004367        371        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        433        634      0.788      0.743      0.798      0.523\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     12/139      22.9G    0.03642    0.02341   0.004053        371        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        433        634      0.717      0.692      0.716      0.478\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     13/139      22.9G    0.03529    0.02319   0.004698        381        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        433        634      0.654      0.595      0.642      0.407\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     14/139      22.9G    0.03556    0.02319   0.004214        400        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        433        634      0.796      0.738      0.786      0.526\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     15/139      22.9G    0.03551    0.02289   0.003943        403        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        433        634      0.804      0.751      0.814      0.554\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     16/139      22.9G    0.03449     0.0229   0.003973        349        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        433        634       0.76       0.65      0.689      0.418\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     17/139      22.9G    0.03466      0.023   0.003615        391        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        433        634      0.786      0.744      0.808      0.542\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     18/139      22.9G    0.03437    0.02311   0.003811        360        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        433        634      0.768      0.815       0.82      0.565\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     19/139      22.9G    0.03381    0.02239   0.003617        416        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        433        634      0.801      0.762      0.805      0.559\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     20/139      22.9G     0.0337    0.02296   0.003474        417        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        433        634      0.797      0.765      0.824      0.576\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     21/139      22.9G    0.03342    0.02252   0.003487        375        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        433        634      0.772      0.748      0.787      0.554\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     22/139      22.9G    0.03345    0.02217   0.003189        370        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        433        634      0.787      0.771      0.814      0.568\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     23/139      22.9G    0.03314    0.02216   0.003257        341        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        433        634      0.764      0.786      0.797      0.574\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     24/139      22.9G    0.03313    0.02223   0.003081        392        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        433        634      0.849       0.75      0.808      0.572\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     25/139      22.9G    0.03269    0.02183   0.002881        389        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        433        634      0.781      0.777        0.8      0.554\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     26/139      22.9G    0.03274    0.02202   0.003104        417        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        433        634      0.736      0.795      0.801      0.561\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     27/139      22.9G     0.0326    0.02187   0.002833        374        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        433        634       0.82      0.773      0.813       0.58\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     28/139      22.9G    0.03197    0.02167   0.003431        376        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        433        634      0.789      0.779      0.809      0.583\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     29/139      22.9G    0.03219    0.02179   0.002822        406        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        433        634      0.777      0.797      0.822       0.58\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     30/139      22.9G    0.03192    0.02156   0.002719        358        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        433        634      0.769      0.774      0.804      0.583\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     31/139      22.9G    0.03145    0.02163   0.002821        390        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        433        634      0.791      0.801      0.817      0.592\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     32/139      22.9G    0.03159    0.02144   0.002851        422        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        433        634      0.822      0.806      0.834      0.616\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     33/139      22.9G    0.03159    0.02147   0.002848        415        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        433        634      0.787      0.825      0.831       0.61\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     34/139      22.9G    0.03088    0.02124    0.00269        369        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        433        634      0.813      0.785      0.831      0.608\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     35/139      22.9G    0.03121    0.02139   0.002627        396        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        433        634      0.744       0.79      0.808       0.59\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     36/139      22.9G    0.03077    0.02091   0.002637        366        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        433        634      0.806      0.808      0.843      0.618\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     37/139      22.9G    0.03091    0.02095   0.002684        436        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        433        634      0.794      0.811      0.816       0.58\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     38/139      22.9G    0.03083    0.02088   0.002681        385        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        433        634       0.77      0.807      0.825      0.608\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     39/139      22.9G    0.03041    0.02059   0.002414        397        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        433        634      0.829      0.794      0.847      0.625\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
      "     40/139      22.9G     0.0302    0.02061   0.002333        466        640:  "
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "IOPub message rate exceeded.\n",
      "The Jupyter server will temporarily stop sending output\n",
      "to the client in order to avoid crashing it.\n",
      "To change this limit, set the config variable\n",
      "`--ServerApp.iopub_msg_rate_limit`.\n",
      "\n",
      "Current values:\n",
      "ServerApp.iopub_msg_rate_limit=1000.0 (msgs/sec)\n",
      "ServerApp.rate_limit_window=3.0 (secs)\n",
      "\n"
     ]
    }
   ],
   "source": [
    "!python yolov5/train.py --img-size 640 --batch-size 128 --epochs 140 --data detection/data.yaml --project logs/train"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "8fda3caf-6195-4d79-8c7d-54a559340128",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[34m\u001b[1mval: \u001b[0mdata=detection/data.yaml, weights=['logs/train/exp2/weights/best.pt'], batch_size=32, imgsz=640, conf_thres=0.001, iou_thres=0.6, 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=logs/val, name=exp, exist_ok=False, half=False, dnn=False\n",
      "YOLOv5 🚀 v7.0-283-g875d9278 Python-3.8.10 torch-1.13.1+cu117 CUDA:0 (NVIDIA GeForce RTX 3090, 24259MiB)\n",
      "\n",
      "Fusing layers... \n",
      "Model summary: 157 layers, 7018216 parameters, 0 gradients, 15.8 GFLOPs\n",
      "\u001b[34m\u001b[1mval: \u001b[0mScanning /home2/ahmed.abdelgawad/my_projects/yolo_obj_project_1/train-yolov\u001b[0m\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        433        634       0.85       0.87      0.884      0.711\n",
      "                  deer        433        146      0.825      0.842       0.88      0.709\n",
      "                 horse        433        417      0.739      0.834      0.799      0.654\n",
      "                rabbit        433         71      0.985      0.933      0.975       0.77\n",
      "Speed: 0.1ms pre-process, 1.3ms inference, 0.9ms NMS per image at shape (32, 3, 640, 640)\n",
      "Results saved to \u001b[1mlogs/val/exp2\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "!python yolov5/val.py --weights logs/train/exp2/weights/best.pt --data detection/data.yaml --project logs/val"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bd79a942-2f95-4fc2-bf8d-8ee8b1a2c5c1",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "a132c4d7-7d91-4eb5-ada8-38495a217670",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[34m\u001b[1mval: \u001b[0mdata=detection/data.yaml, weights=['logs/train/exp/weights/best.pt'], batch_size=32, imgsz=640, conf_thres=0.001, iou_thres=0.6, 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=logs/val, name=exp, exist_ok=False, half=False, dnn=False\n",
      "YOLOv5 🚀 v7.0-283-g875d9278 Python-3.8.10 torch-1.13.1+cu117 CUDA:0 (NVIDIA GeForce RTX 3090, 24259MiB)\n",
      "\n",
      "Fusing layers... \n",
      "Model summary: 157 layers, 7018216 parameters, 0 gradients, 15.8 GFLOPs\n",
      "\u001b[34m\u001b[1mval: \u001b[0mScanning /home2/ahmed.abdelgawad/my_projects/yolo_obj_project_1/train-yolov\u001b[0m\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        433        634      0.863      0.824      0.882      0.707\n",
      "                  deer        433        146      0.823      0.798      0.859      0.697\n",
      "                 horse        433        417       0.78      0.775      0.807      0.652\n",
      "                rabbit        433         71      0.985      0.899      0.981      0.771\n",
      "Speed: 0.1ms pre-process, 1.3ms inference, 0.8ms NMS per image at shape (32, 3, 640, 640)\n",
      "Results saved to \u001b[1mlogs/val/exp3\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "!python yolov5/val.py --weights logs/train/exp/weights/best.pt --data detection/data.yaml --project logs/val"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8cdef88c-679a-41be-aac3-653c1de1b2e5",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "58e3967c-04d8-4b67-afe9-590958e82a36",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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