Train_YOLOv9_Custom_Dataset.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "XbIrSE6VN_HK"
   },
   "source": [
    "#**Step 01: Clone the YOLOv9 Github Repo**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "eSduGHHlNhM4",
    "outputId": "e2493fc2-9979-451d-8246-d5f91f0878e7"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Cloning into 'yolov9'...\n",
      "\n"
     ]
    }
   ],
   "source": [
    "!git clone https://github.com/WongKinYiu/yolov9.git"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "KXP6pc81OZpI"
   },
   "source": [
    "#**Step 02: Change Current Directory**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "Nk8jTJDhORVQ",
    "outputId": "dae66c86-cdb3-4b6c-c8a9-584cb93eac5e"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/teamspace/studios/this_studio/ObjectDetection/Test1/yolov9\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/zeus/miniconda3/envs/cloudspace/lib/python3.10/site-packages/IPython/core/magics/osm.py:417: UserWarning: using dhist requires you to install the `pickleshare` library.\n",
      "  self.shell.db['dhist'] = compress_dhist(dhist)[-100:]\n"
     ]
    }
   ],
   "source": [
    "%cd /teamspace/studios/this_studio/ObjectDetection/Test1/yolov9"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "pwPyE49fOpCX"
   },
   "source": [
    "#**Step 03: Install All the Required Packages**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "pxNpPMaaOnJg",
    "outputId": "26522422-04ad-439e-a176-bdf02c462b74"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip is available: \u001b[0m\u001b[31;49m24.1.1\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m24.2\u001b[0m\n",
      "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpip install --upgrade pip\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "!pip install -r requirements.txt -q"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "KVYFqdx9PASk"
   },
   "source": [
    "#**Step 04: Download the Model Weights**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "lDgKHccmPOYa"
   },
   "source": [
    "**NOTE:** In the YOLOv9 paper, versions yolov9-s and yolov9-m are also mentioned, but the weights for these models are not yet available in the YOLOv9 repository."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "2Wy9-V7aOyB_",
    "outputId": "dafedfff-bdfa-42e2-aced-761cefc35b35"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/teamspace/studios/this_studio/ObjectDetection/Test1/yolov9\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "HOME = os.getcwd()\n",
    "print(HOME)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "id": "x6pZVNhrPdsB"
   },
   "outputs": [],
   "source": [
    "!mkdir -p {HOME}/weights"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "id": "_Rg-NBwZPmO0"
   },
   "outputs": [],
   "source": [
    "!wget -P {HOME}/weights -q https://github.com/WongKinYiu/yolov9/releases/download/v0.1/yolov9-c.pt\n",
    "!wget -P {HOME}/weights -q https://github.com/WongKinYiu/yolov9/releases/download/v0.1/yolov9-e.pt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "rluBbfooP9OS",
    "outputId": "65c5842e-c5e9-4e57-e4cf-95ccc421f79d"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "total 475348\n",
      "drwxr-xr-x 1 ec23433 ec23433      4096 Aug 16 22:38 .\n",
      "drwxr-xr-x 1 ec23433 ec23433      4096 Aug 16 21:46 ..\n",
      "-rwxr--r-- 1 ec23433 ec23433 103153312 Feb 18 12:36 yolov9-c.pt\n",
      "-rw-r--r-- 1 ec23433 ec23433 103153312 Feb 18 12:36 yolov9-c.pt.1\n",
      "-rwxr--r-- 1 ec23433 ec23433 140217688 Feb 18 12:36 yolov9-e.pt\n",
      "-rw-r--r-- 1 ec23433 ec23433 140217688 Feb 18 12:36 yolov9-e.pt.1\n"
     ]
    }
   ],
   "source": [
    "!ls -la {HOME}/weights"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "8DTjYGuHQwaA"
   },
   "source": [
    "#**Step 05: Download the Dataset from Roboflow**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1000
    },
    "id": "zN5nzhkeQ9kR",
    "outputId": "874552c1-ed0b-4284-fd3c-da547db7cffa"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: roboflow in /system/conda/miniconda3/envs/cloudspace/lib/python3.10/site-packages (1.1.36)\n",
      "Requirement already satisfied: certifi in /system/conda/miniconda3/envs/cloudspace/lib/python3.10/site-packages (from roboflow) (2024.6.2)\n",
      "Requirement already satisfied: chardet==4.0.0 in /system/conda/miniconda3/envs/cloudspace/lib/python3.10/site-packages (from roboflow) (4.0.0)\n",
      "Requirement already satisfied: idna==3.7 in /system/conda/miniconda3/envs/cloudspace/lib/python3.10/site-packages (from roboflow) (3.7)\n",
      "Requirement already satisfied: cycler in /system/conda/miniconda3/envs/cloudspace/lib/python3.10/site-packages (from roboflow) (0.12.1)\n",
      "Requirement already satisfied: kiwisolver>=1.3.1 in /system/conda/miniconda3/envs/cloudspace/lib/python3.10/site-packages (from roboflow) (1.4.5)\n",
      "Requirement already satisfied: matplotlib in /system/conda/miniconda3/envs/cloudspace/lib/python3.10/site-packages (from roboflow) (3.8.2)\n",
      "Requirement already satisfied: numpy>=1.18.5 in /system/conda/miniconda3/envs/cloudspace/lib/python3.10/site-packages (from roboflow) (1.26.4)\n",
      "Requirement already satisfied: opencv-python-headless==4.10.0.84 in /system/conda/miniconda3/envs/cloudspace/lib/python3.10/site-packages (from roboflow) (4.10.0.84)\n",
      "Requirement already satisfied: Pillow>=7.1.2 in /system/conda/miniconda3/envs/cloudspace/lib/python3.10/site-packages (from roboflow) (10.3.0)\n",
      "Requirement already satisfied: python-dateutil in /system/conda/miniconda3/envs/cloudspace/lib/python3.10/site-packages (from roboflow) (2.9.0.post0)\n",
      "Requirement already satisfied: python-dotenv in /system/conda/miniconda3/envs/cloudspace/lib/python3.10/site-packages (from roboflow) (1.0.1)\n",
      "Requirement already satisfied: requests in /system/conda/miniconda3/envs/cloudspace/lib/python3.10/site-packages (from roboflow) (2.32.3)\n",
      "Requirement already satisfied: six in /system/conda/miniconda3/envs/cloudspace/lib/python3.10/site-packages (from roboflow) (1.16.0)\n",
      "Requirement already satisfied: urllib3>=1.26.6 in /system/conda/miniconda3/envs/cloudspace/lib/python3.10/site-packages (from roboflow) (2.2.2)\n",
      "Requirement already satisfied: tqdm>=4.41.0 in /system/conda/miniconda3/envs/cloudspace/lib/python3.10/site-packages (from roboflow) (4.66.4)\n",
      "Requirement already satisfied: PyYAML>=5.3.1 in /system/conda/miniconda3/envs/cloudspace/lib/python3.10/site-packages (from roboflow) (6.0.1)\n",
      "Requirement already satisfied: requests-toolbelt in /system/conda/miniconda3/envs/cloudspace/lib/python3.10/site-packages (from roboflow) (1.0.0)\n",
      "Requirement already satisfied: filetype in /system/conda/miniconda3/envs/cloudspace/lib/python3.10/site-packages (from roboflow) (1.2.0)\n",
      "Requirement already satisfied: contourpy>=1.0.1 in /system/conda/miniconda3/envs/cloudspace/lib/python3.10/site-packages (from matplotlib->roboflow) (1.2.1)\n",
      "Requirement already satisfied: fonttools>=4.22.0 in /system/conda/miniconda3/envs/cloudspace/lib/python3.10/site-packages (from matplotlib->roboflow) (4.53.0)\n",
      "Requirement already satisfied: packaging>=20.0 in /system/conda/miniconda3/envs/cloudspace/lib/python3.10/site-packages (from matplotlib->roboflow) (24.1)\n",
      "Requirement already satisfied: pyparsing>=2.3.1 in /system/conda/miniconda3/envs/cloudspace/lib/python3.10/site-packages (from matplotlib->roboflow) (3.1.2)\n",
      "Requirement already satisfied: charset-normalizer<4,>=2 in /system/conda/miniconda3/envs/cloudspace/lib/python3.10/site-packages (from requests->roboflow) (3.3.2)\n",
      "\n",
      "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip is available: \u001b[0m\u001b[31;49m24.1.1\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m24.2\u001b[0m\n",
      "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpip install --upgrade pip\u001b[0m\n",
      "loading Roboflow workspace...\n",
      "loading Roboflow project...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Downloading Dataset Version Zip in Construction-Site-Safety-30 to yolov9:: 100%|██████████| 80230/80230 [00:01<00:00, 51688.76it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n",
      "Extracting Dataset Version Zip to Construction-Site-Safety-30 in yolov9:: 100%|██████████| 1446/1446 [00:00<00:00, 6113.34it/s]\n"
     ]
    }
   ],
   "source": [
    "!pip install roboflow\n",
    "from roboflow import Roboflow\n",
    "rf = Roboflow(api_key=\"8joVH7TL2k5V6uScFBEy\")\n",
    "project = rf.workspace(\"roboflow-universe-projects\").project(\"construction-site-safety\")\n",
    "version = project.version(30)\n",
    "dataset = version.download(\"yolov9\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "U6RWyl6pSVWr"
   },
   "source": [
    "#**Step 06: Train Custom Model**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "X8_OvNq-Uo98",
    "outputId": "8fb9621e-0b31-45c5-a5b5-6bd34962fb92"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/teamspace/studios/this_studio/ObjectDetection/Test1/yolov9\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "using dhist requires you to install the `pickleshare` library.\n"
     ]
    }
   ],
   "source": [
    "%cd /teamspace/studios/this_studio/ObjectDetection/Test1/yolov9"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "_vkaAaSrR2d3",
    "outputId": "6d0cf2f9-a7af-4a4b-cc0b-041cf2e8da99"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2024-08-11 17:33:20.177032: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:479] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n",
      "2024-08-11 17:33:20.193234: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:10575] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n",
      "2024-08-11 17:33:20.193270: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1442] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n",
      "2024-08-11 17:33:20.203871: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n",
      "To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n",
      "2024-08-11 17:33:20.909337: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n",
      "\u001b[34m\u001b[1mtrain_dual: \u001b[0mweights=/teamspace/studios/this_studio/ObjectDetection/Test1/yolov9/weights/yolov9-e.pt, cfg=models/detect/yolov9-e.yaml, data=Construction-Site-Safety-30/data.yaml, hyp=hyp.scratch-high.yaml, epochs=60, 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=0, multi_scale=False, single_cls=False, optimizer=SGD, sync_bn=False, workers=8, project=runs/train, name=yolov9-e-finetuning, exist_ok=False, quad=False, cos_lr=False, flat_cos_lr=False, fixed_lr=False, label_smoothing=0.0, patience=100, freeze=[0], save_period=-1, seed=0, local_rank=-1, min_items=0, close_mosaic=15, entity=None, upload_dataset=False, bbox_interval=-1, artifact_alias=latest\n",
      "YOLO 🚀 v0.1-104-g5b1ea9a Python-3.10.10 torch-2.2.1+cu121 CUDA:0 (NVIDIA L4, 22700MiB)\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=7.5, cls=0.5, cls_pw=1.0, obj=0.7, obj_pw=1.0, dfl=1.5, iou_t=0.2, anchor_t=5.0, fl_gamma=0.0, hsv_h=0.015, hsv_s=0.7, hsv_v=0.4, degrees=0.0, translate=0.1, scale=0.9, shear=0.0, perspective=0.0, flipud=0.0, fliplr=0.5, mosaic=1.0, mixup=0.15, copy_paste=0.3\n",
      "\u001b[34m\u001b[1mClearML: \u001b[0mrun 'pip install clearml' to automatically track, visualize and remotely train YOLO 🚀 in ClearML\n",
      "\u001b[34m\u001b[1mComet: \u001b[0mrun 'pip install comet_ml' to automatically track and visualize YOLO 🚀 runs in Comet\n",
      "\u001b[34m\u001b[1mTensorBoard: \u001b[0mStart with 'tensorboard --logdir runs/train', view at http://localhost:6006/\n",
      "Overriding model.yaml nc=80 with nc=25\n",
      "\n",
      "                 from  n    params  module                                  arguments                     \n",
      "  0                -1  1         0  models.common.Silence                   []                            \n",
      "  1                -1  1      1856  models.common.Conv                      [3, 64, 3, 2]                 \n",
      "  2                -1  1     73984  models.common.Conv                      [64, 128, 3, 2]               \n",
      "  3                -1  1    252160  models.common.RepNCSPELAN4              [128, 256, 128, 64, 2]        \n",
      "  4                -1  1    164352  models.common.ADown                     [256, 256]                    \n",
      "  5                -1  1   1004032  models.common.RepNCSPELAN4              [256, 512, 256, 128, 2]       \n",
      "  6                -1  1    656384  models.common.ADown                     [512, 512]                    \n",
      "  7                -1  1   4006912  models.common.RepNCSPELAN4              [512, 1024, 512, 256, 2]      \n",
      "  8                -1  1   2623488  models.common.ADown                     [1024, 1024]                  \n",
      "  9                -1  1   4269056  models.common.RepNCSPELAN4              [1024, 1024, 512, 256, 2]     \n",
      " 10                 1  1      4160  models.common.CBLinear                  [64, [64]]                    \n",
      " 11                 3  1     49344  models.common.CBLinear                  [256, [64, 128]]              \n",
      " 12                 5  1    229824  models.common.CBLinear                  [512, [64, 128, 256]]         \n",
      " 13                 7  1    984000  models.common.CBLinear                  [1024, [64, 128, 256, 512]]   \n",
      " 14                 9  1   2033600  models.common.CBLinear                  [1024, [64, 128, 256, 512, 1024]]\n",
      " 15                 0  1      1856  models.common.Conv                      [3, 64, 3, 2]                 \n",
      " 16[10, 11, 12, 13, 14, -1]  1         0  models.common.CBFuse                    [[0, 0, 0, 0, 0]]             \n",
      " 17                -1  1     73984  models.common.Conv                      [64, 128, 3, 2]               \n",
      " 18[11, 12, 13, 14, -1]  1         0  models.common.CBFuse                    [[1, 1, 1, 1]]                \n",
      " 19                -1  1    252160  models.common.RepNCSPELAN4              [128, 256, 128, 64, 2]        \n",
      " 20                -1  1    164352  models.common.ADown                     [256, 256]                    \n",
      " 21  [12, 13, 14, -1]  1         0  models.common.CBFuse                    [[2, 2, 2]]                   \n",
      " 22                -1  1   1004032  models.common.RepNCSPELAN4              [256, 512, 256, 128, 2]       \n",
      " 23                -1  1    656384  models.common.ADown                     [512, 512]                    \n",
      " 24      [13, 14, -1]  1         0  models.common.CBFuse                    [[3, 3]]                      \n",
      " 25                -1  1   4006912  models.common.RepNCSPELAN4              [512, 1024, 512, 256, 2]      \n",
      " 26                -1  1   2623488  models.common.ADown                     [1024, 1024]                  \n",
      " 27          [14, -1]  1         0  models.common.CBFuse                    [[4]]                         \n",
      " 28                -1  1   4269056  models.common.RepNCSPELAN4              [1024, 1024, 512, 256, 2]     \n",
      " 29                 9  1    787968  models.common.SPPELAN                   [1024, 512, 256]              \n",
      " 30                -1  1         0  torch.nn.modules.upsampling.Upsample    [None, 2, 'nearest']          \n",
      " 31           [-1, 7]  1         0  models.common.Concat                    [1]                           \n",
      " 32                -1  1   4005888  models.common.RepNCSPELAN4              [1536, 512, 512, 256, 2]      \n",
      " 33                -1  1         0  torch.nn.modules.upsampling.Upsample    [None, 2, 'nearest']          \n",
      " 34           [-1, 5]  1         0  models.common.Concat                    [1]                           \n",
      " 35                -1  1   1069056  models.common.RepNCSPELAN4              [1024, 256, 256, 128, 2]      \n",
      " 36                28  1    787968  models.common.SPPELAN                   [1024, 512, 256]              \n",
      " 37                -1  1         0  torch.nn.modules.upsampling.Upsample    [None, 2, 'nearest']          \n",
      " 38          [-1, 25]  1         0  models.common.Concat                    [1]                           \n",
      " 39                -1  1   4005888  models.common.RepNCSPELAN4              [1536, 512, 512, 256, 2]      \n",
      " 40                -1  1         0  torch.nn.modules.upsampling.Upsample    [None, 2, 'nearest']          \n",
      " 41          [-1, 22]  1         0  models.common.Concat                    [1]                           \n",
      " 42                -1  1   1069056  models.common.RepNCSPELAN4              [1024, 256, 256, 128, 2]      \n",
      " 43                -1  1    164352  models.common.ADown                     [256, 256]                    \n",
      " 44          [-1, 39]  1         0  models.common.Concat                    [1]                           \n",
      " 45                -1  1   3612672  models.common.RepNCSPELAN4              [768, 512, 512, 256, 2]       \n",
      " 46                -1  1    656384  models.common.ADown                     [512, 512]                    \n",
      " 47          [-1, 36]  1         0  models.common.Concat                    [1]                           \n",
      " 48                -1  1  12860416  models.common.RepNCSPELAN4              [1024, 512, 1024, 512, 2]     \n",
      " 49[35, 32, 29, 42, 45, 48]  1  11019830  models.yolo.DualDDetect                 [25, [256, 512, 512, 256, 512, 512]]\n",
      "yolov9-e summary: 1475 layers, 69444854 parameters, 69444822 gradients, 245.1 GFLOPs\n",
      "\n",
      "Transferred 2160/2172 items from /teamspace/studios/this_studio/ObjectDetection/Test1/yolov9/weights/yolov9-e.pt\n",
      "\u001b[34m\u001b[1mAMP: \u001b[0mchecks passed ✅\n",
      "\u001b[34m\u001b[1moptimizer:\u001b[0m SGD(lr=0.01) with parameter groups 356 weight(decay=0.0), 375 weight(decay=0.0005), 373 bias\n",
      "INFO:albumentations.check_version:A new version of Albumentations is available: 1.4.13 (you have 1.4.11). Upgrade using: pip install --upgrade albumentations\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 /teamspace/studios/this_studio/ObjectDetection/Test1/yolov9/Cons\u001b[0m\n",
      "\u001b[34m\u001b[1mval: \u001b[0mScanning /teamspace/studios/this_studio/ObjectDetection/Test1/yolov9/Constr\u001b[0m\n",
      "Plotting labels to runs/train/yolov9-e-finetuning2/labels.jpg... \n",
      "Image sizes 640 train, 640 val\n",
      "Using 8 dataloader workers\n",
      "Logging results to \u001b[1mruns/train/yolov9-e-finetuning2\u001b[0m\n",
      "Starting training for 60 epochs...\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "       0/59      11.6G      2.023      5.707      2.158        144        640:  WARNING ⚠️ TensorBoard graph visualization failure Only tensors, lists, tuples of tensors, or dictionary of tensors can be output from traced functions\n",
      "       0/59      13.8G      1.602       3.64      1.803         43        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        114        733      0.402       0.34      0.296      0.199\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "       1/59      16.9G      1.404      2.057      1.652          8        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        114        733      0.559      0.377      0.372      0.249\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "       2/59      16.9G      1.451      2.074      1.676         14        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        114        733      0.527      0.383      0.407      0.268\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "       3/59      16.9G      1.482      2.031      1.698          1        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        114        733      0.513      0.428      0.429        0.3\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "       4/59      16.9G      1.576       1.84      1.707        108        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        114        733      0.685      0.313      0.369       0.23\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "       5/59      16.9G      1.668      1.979      1.786         19        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        114        733      0.654      0.371      0.412      0.251\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "       6/59      16.9G      1.619       1.87      1.776          8        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        114        733      0.433      0.322      0.339      0.212\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "       7/59      16.9G      1.657      1.843       1.79         18        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        114        733      0.599      0.339      0.386      0.253\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "       8/59      16.9G       1.64      1.775       1.77         18        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        114        733      0.572      0.425      0.418      0.245\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "       9/59      16.9G       1.63      1.771      1.765         22        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        114        733      0.632       0.37      0.424      0.248\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "      10/59      16.9G      1.585      1.711      1.738          8        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        114        733      0.679      0.449      0.495      0.319\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "      11/59      16.9G      1.662      1.798      1.789          4        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        114        733      0.494      0.437      0.428      0.269\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "      12/59      16.9G      1.609      1.754      1.776          5        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        114        733      0.619      0.434      0.459      0.303\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "      13/59      16.9G      1.608      1.653      1.747         47        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        114        733      0.588      0.431      0.477      0.288\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "      14/59      16.9G       1.57      1.658      1.738          1        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        114        733      0.718      0.427       0.51       0.32\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "      15/59      16.9G      1.522      1.544      1.692         28        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        114        733      0.673      0.426      0.438      0.294\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "      16/59      16.9G      1.561      1.546      1.713         30        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        114        733      0.729      0.442      0.501      0.335\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "      17/59      16.9G      1.494      1.499      1.686          1        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        114        733      0.739      0.434      0.482      0.317\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "      18/59      16.9G      1.483       1.41      1.663         28        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        114        733      0.761      0.436      0.502      0.341\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "      19/59      16.9G      1.438      1.354      1.631          5        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        114        733      0.721      0.422      0.526      0.353\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "      20/59      16.9G      1.469       1.42      1.677          5        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        114        733      0.645      0.441      0.484      0.336\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "      21/59      16.9G       1.45      1.399      1.646         21        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        114        733      0.724      0.444      0.518      0.328\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "      22/59      16.9G      1.395      1.293       1.59         16        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        114        733       0.58      0.486      0.562      0.382\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "      23/59      16.9G      1.448      1.286      1.612         42        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        114        733      0.647      0.487      0.542      0.366\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "      24/59      16.9G      1.401      1.343      1.608          3        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        114        733      0.728       0.44      0.495      0.327\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "      25/59      16.9G      1.392      1.278      1.618         15        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        114        733      0.717      0.448       0.49      0.331\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "      26/59      16.9G      1.397      1.252      1.598         31        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        114        733      0.593      0.465      0.511      0.341\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "      27/59      16.9G      1.391      1.203      1.579         22        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        114        733      0.553      0.474      0.539      0.355\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "      28/59      16.9G      1.382      1.279      1.603         27        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        114        733      0.633      0.491      0.556      0.364\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "      29/59      16.9G      1.335      1.165      1.549         21        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        114        733      0.766      0.461      0.532      0.369\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "      30/59      16.9G      1.293      1.123      1.531          8        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        114        733      0.677      0.475      0.527      0.368\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "      31/59      16.9G      1.314      1.103      1.533         36        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        114        733      0.661      0.493       0.55      0.393\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "      32/59      16.9G       1.32      1.156      1.546          8        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        114        733      0.632      0.486      0.563      0.369\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "      33/59      16.9G      1.314      1.092      1.537          7        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        114        733      0.712      0.481       0.59      0.415\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "      34/59      16.9G      1.255      1.093      1.522          5        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        114        733      0.693      0.501      0.581      0.397\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "      35/59      16.9G      1.335      1.192      1.567          2        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        114        733      0.763      0.452      0.552      0.376\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "      36/59      16.9G      1.256       1.05      1.499         17        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        114        733      0.801      0.441      0.579      0.405\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "      37/59      16.9G      1.214      1.066      1.466          0        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        114        733      0.741      0.484      0.552      0.387\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "      38/59      16.9G      1.239      1.016      1.507         12        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        114        733      0.773      0.494      0.564      0.394\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "      39/59      16.9G      1.179     0.9638      1.457         47        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        114        733      0.755      0.492      0.554       0.39\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "      40/59      16.9G      1.204      0.964      1.458          8        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        114        733      0.725      0.474       0.57       0.39\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "      41/59      16.9G       1.18     0.9354      1.457          3        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        114        733      0.662      0.515      0.551      0.388\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "      42/59      16.9G      1.177     0.9532      1.447          6        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        114        733      0.701      0.507       0.58      0.408\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "      43/59      16.9G      1.142     0.9087      1.445          8        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        114        733      0.684      0.489      0.561      0.398\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "      44/59      16.9G      1.165     0.9151      1.454          5        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        114        733      0.726      0.504      0.567      0.396\n",
      "Closing dataloader mosaic\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "      45/59      16.9G      1.118     0.8552      1.437          8        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        114        733       0.77      0.494      0.563      0.389\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "      46/59      16.9G      1.059     0.7597      1.384          8        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        114        733      0.841      0.475       0.58      0.406\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "      47/59      16.9G      1.061     0.7598      1.392          4        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        114        733      0.812      0.489       0.58      0.404\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "      48/59      16.9G      1.046     0.7506      1.377          8        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        114        733      0.785      0.476      0.576      0.404\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "      49/59      16.9G      1.039     0.7373      1.367          4        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        114        733      0.842      0.455      0.543       0.39\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "      50/59      16.9G       1.05     0.7301      1.377          3        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        114        733      0.802      0.463      0.535      0.387\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "      51/59      16.9G      1.026     0.7311       1.38          7        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        114        733      0.674      0.512      0.539      0.381\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "      52/59      16.9G      1.018     0.7335      1.354          3        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        114        733      0.644      0.532      0.575      0.412\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "      53/59      16.9G      1.041     0.7259      1.365          5        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        114        733      0.799      0.483       0.57      0.407\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "      54/59      16.9G     0.9774     0.6565       1.33          4        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        114        733      0.772      0.486      0.591      0.418\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "      55/59      16.9G     0.9492     0.6541      1.326          4        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        114        733      0.795      0.482      0.593      0.421\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "      56/59      16.9G     0.9296     0.6011      1.299          2        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        114        733      0.751      0.505      0.573       0.41\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "      57/59      16.9G     0.9614     0.6809      1.287          2        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        114        733      0.724      0.497      0.573      0.415\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "      58/59      16.9G     0.9163     0.5953      1.287          4        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        114        733      0.654      0.542      0.567      0.407\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "      59/59      16.9G     0.9014     0.5747      1.276          6        640: 1\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        114        733      0.726      0.499      0.578      0.412\n",
      "\n",
      "60 epochs completed in 0.694 hours.\n",
      "Optimizer stripped from runs/train/yolov9-e-finetuning2/weights/last.pt, 140.0MB\n",
      "Optimizer stripped from runs/train/yolov9-e-finetuning2/weights/best.pt, 140.0MB\n",
      "\n",
      "Validating runs/train/yolov9-e-finetuning2/weights/best.pt...\n",
      "Fusing layers... \n",
      "yolov9-e summary: 839 layers, 68584822 parameters, 0 gradients, 240.9 GFLOPs\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        114        733      0.794      0.482      0.594      0.421\n",
      "             Excavator        114         12      0.623      0.583      0.667      0.614\n",
      "                Gloves        114         25      0.592       0.36      0.408      0.232\n",
      "               Hardhat        114         79      0.944      0.671      0.816      0.595\n",
      "                Ladder        114         10      0.664        0.7      0.646      0.474\n",
      "                  Mask        114         21       0.92       0.81      0.862      0.628\n",
      "            NO-Hardhat        114         69      0.884      0.551      0.671      0.383\n",
      "               NO-Mask        114         74      0.827      0.452      0.533      0.175\n",
      "        NO-Safety Vest        114        106      0.863      0.595        0.7      0.412\n",
      "                Person        114        166      0.942      0.717      0.825      0.628\n",
      "           Safety Cone        114         44       0.84      0.841       0.84       0.52\n",
      "           Safety Vest        114         41      0.963      0.629      0.789      0.593\n",
      "            dump truck        114         13      0.634      0.692      0.766      0.568\n",
      "             machinery        114          8      0.553      0.468      0.591      0.474\n",
      "              mini-van        114          1          1          0          0          0\n",
      "                 sedan        114         13       0.95     0.0769      0.273      0.157\n",
      "               trailer        114          1      0.737          1      0.995      0.995\n",
      "                 truck        114          4      0.587       0.25       0.25       0.25\n",
      "     truck and trailer        114          3          1          0      0.913      0.359\n",
      "                   van        114          3          1          0      0.133      0.104\n",
      "               vehicle        114         18      0.339      0.222      0.225       0.19\n",
      "          wheel loader        114         22      0.809        0.5      0.565      0.485\n",
      "Results saved to \u001b[1mruns/train/yolov9-e-finetuning2\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "!python train_dual.py --workers 8 --device 0 --batch 8 --data 'Construction-Site-Safety-30/data.yaml' --img 640 --cfg models/detect/yolov9-e.yaml --weights '{HOME}/weights/yolov9-e.pt' --name yolov9-e-finetuning --hyp hyp.scratch-high.yaml --min-items 0 --epochs 60 --close-mosaic 15 \n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "3AZGAOw0-y7h"
   },
   "source": [
    "#**Download Weights From the Drive**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: gdown in /system/conda/miniconda3/envs/cloudspace/lib/python3.10/site-packages (5.2.0)\n",
      "Requirement already satisfied: beautifulsoup4 in /system/conda/miniconda3/envs/cloudspace/lib/python3.10/site-packages (from gdown) (4.12.3)\n",
      "Requirement already satisfied: filelock in /system/conda/miniconda3/envs/cloudspace/lib/python3.10/site-packages (from gdown) (3.15.4)\n",
      "Requirement already satisfied: requests[socks] in /system/conda/miniconda3/envs/cloudspace/lib/python3.10/site-packages (from gdown) (2.32.3)\n",
      "Requirement already satisfied: tqdm in /system/conda/miniconda3/envs/cloudspace/lib/python3.10/site-packages (from gdown) (4.66.4)\n",
      "Requirement already satisfied: soupsieve>1.2 in /system/conda/miniconda3/envs/cloudspace/lib/python3.10/site-packages (from beautifulsoup4->gdown) (2.5)\n",
      "Requirement already satisfied: charset-normalizer<4,>=2 in /system/conda/miniconda3/envs/cloudspace/lib/python3.10/site-packages (from requests[socks]->gdown) (3.3.2)\n",
      "Requirement already satisfied: idna<4,>=2.5 in /system/conda/miniconda3/envs/cloudspace/lib/python3.10/site-packages (from requests[socks]->gdown) (3.7)\n",
      "Requirement already satisfied: urllib3<3,>=1.21.1 in /system/conda/miniconda3/envs/cloudspace/lib/python3.10/site-packages (from requests[socks]->gdown) (2.2.2)\n",
      "Requirement already satisfied: certifi>=2017.4.17 in /system/conda/miniconda3/envs/cloudspace/lib/python3.10/site-packages (from requests[socks]->gdown) (2024.6.2)\n",
      "Requirement already satisfied: PySocks!=1.5.7,>=1.5.6 in /system/conda/miniconda3/envs/cloudspace/lib/python3.10/site-packages (from requests[socks]->gdown) (1.7.1)\n",
      "\n",
      "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip is available: \u001b[0m\u001b[31;49m24.1.1\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m24.2\u001b[0m\n",
      "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpip install --upgrade pip\u001b[0m\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "source": [
    "pip install gdown\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "C3zcaJYCbvTQ"
   },
   "source": [
    "##**Step 07: Examine Training Results**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "oFwV2XXzb2C7"
   },
   "source": [
    "**NOTE:** By default, the results of each subsequent training sessions are saved in `{HOME}/yolov9/runs/train/`, in directories named `exp`, `exp2`, `exp3`, ... You can override this behavior by using the `--name` parameter."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "R9prdIp7TKHR",
    "outputId": "c6a89e5e-e154-4f3b-cd60-e43aba9a4ef2"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "F1_curve.png\t\t\t\t\t\tresults.png\n",
      "PR_curve.png\t\t\t\t\t\ttrain_batch0.jpg\n",
      "P_curve.png\t\t\t\t\t\ttrain_batch1.jpg\n",
      "R_curve.png\t\t\t\t\t\ttrain_batch2.jpg\n",
      "confusion_matrix.png\t\t\t\t\tval_batch0_labels.jpg\n",
      "events.out.tfevents.1723397601.ip-10-192-12-19.37494.0\tval_batch0_pred.jpg\n",
      "hyp.yaml\t\t\t\t\t\tval_batch1_labels.jpg\n",
      "labels.jpg\t\t\t\t\t\tval_batch1_pred.jpg\n",
      "labels_correlogram.jpg\t\t\t\t\tval_batch2_labels.jpg\n",
      "opt.yaml\t\t\t\t\t\tval_batch2_pred.jpg\n",
      "results.csv\t\t\t\t\t\tweights\n"
     ]
    }
   ],
   "source": [
    "!ls /teamspace/studios/this_studio/ObjectDetection/Test1/yolov9/runs/train/yolov9-e-finetuning2/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "id": "IbIgZ5XYb8HC"
   },
   "outputs": [],
   "source": [
    "from IPython.display import Image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 517
    },
    "id": "9_RpuxVAb8gZ",
    "outputId": "7b7d1785-1a18-48ef-dd4e-7fe5f4f9244a"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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oRUVFafXq1frggw/k4+Oj3Nxcvfrqq4UqGGRkZGjz5s3avHmzfv/9d7311lvF3qw8d+6cXnrpJav4VyAhIUEJCQnasmWLPv74Y7366qtuv+a4YMECvf7664WuJ5bGf//7X7322ms2z4kKfm+3bdumjz/+WK+88orVFEWS6373C+Tl5RkDb5s2bVpsQrSUP2XQyy+/rIyMDKvHY2JiFBMTo19//VWff/65kWzw/vvv69133y1UYWHXrl3atWuXfvnlF3300UeFbn4X5ccffzTO2zt27KjGjRtLkoYMGWJMbfTDDz+45UZ2QWJywY3s1NRUl++jYFotSeratWux7S3bnDp1SkePHlWTJk1c3i+gIiNu5SNu2UbcIm6505EjR3T69GljvUuXLsW+pmvXrjp69KgkaePGjaVKwEpISDCWHRl4VzDY/Pjx45LyBzmTgAVUYbfccotmzJihvLw8bdiwwaj6ZM8ff/xhJLE0adLEmDvVUlxcnCTJx8dHLVu2VOPGjVWzZk2ZzWYjWSY5OVnZ2dnGRURXXpguyMb28vKye+FUyr/J+/jjj2vXrl0ymUzq3LmzGjdurLS0NG3ZssX4IV2zZo0effRRffrpp0XemE1ISNDdd9+tY8eOGY81btxY7du3l4+Pjw4dOqRdu3ZJyg8Q999/vz755BN17tzZajvBwcGaMmWKHnnkEZnNZn3++efq1auXevToUWifkyZNMn60mzRpUiEylydNmqR58+YZ6wEBAeratavCwsIUHx+vTZs2KT09XZmZmZo+fboSEhI0btw4m9uaOnWqVfJVvXr11L59ewUHBysvL08pKSn6+++/FRsbW2R/oqOjNXr0aCNJzc/PTx06dNBll10mHx8fpaam6vjx4zpw4EChA0IAcJfqHIPPnDmjBx54wOq3u1atWurUqZPCwsKUk5OjU6dOac+ePUpNTXX6IkZcXJwefvhhpaWlSco/2bniiivUpEkT+fn5GRcd9u/f75aTYWccOnRI9913n1Up5FatWqlNmzby8PDQ3r17jcone/bs0V133aWvv/5azZo1K7QtV73/Z5991uqGf5MmTdSmTRvVrl1bOTk5SkpK0oEDB4yRbgBQEVTnOPv777/rqaeeMs5/PD091alTJzVt2lTp6enasmWL4uPjNX78eLvnjxEREbr33nsl5d9IKUg8a9eundq3b2/V9tL1iiQjI0MPPPCA1SjVunXr6qqrrlJAQICOHTumbdu2GQN8Ro0apenTp9u8WZObm6sRI0Zoz549xmOtWrVSy5YtVbNmTWVlZRkDqeLj44vs0xdffGFVRaxOnTq68sorFRYWJg8PD6WkpCg2NlaHDh2ymaAFoGr59ttvjZgRGRmpNm3ayNPTU1FRUfr7778lSevXr9drr72mSZMmaeLEiVqwYIE8PT3Vrl07RUREKC8vT1u3bjWqLKxYsUKtW7e2O+gxPj5eDzzwgA4dOmQ81rJlS0VGRqpGjRpKTEzU1q1blZKSovPnz+upp57S1KlTCyUoF8SK3377zaiA0r9/f9WrV6/QPiMiIorszy+//GLcFK1bt646deqkmjVr6uzZszYHVDri008/1dSpU42bsB4eHoqMjFSLFi1Uo0YNpaSk6MCBA8a56aXnnq763be0c+dO43zPVhWRS61du1avvvqq8vLy1LRpU7Vr106+vr6KiYkxYvPevXv19NNPa+7cufrwww/19ttvS8r/e2rdurVMJpOio6N18OBBSdLmzZs1ZcoUTZo0yaE+W1ZxGTJkiLF8yy23aPr06crLy9P+/fu1f/9+tW7d2qFtOspsNuvChQvGemBgoEu3L8nq38Dll19ebPt69eopNDTUuG9w6NAhl97IPnz4sP7++2+dPn1aOTk5ql27tpo2baqrrrpKoaGhLtsP4CziVj7ilm3ELeKWs3Fr06ZNVtXovvzyS5sJZpbvPywsTHXr1i1225af0+HDhx3uky2XDiYvqYK/6+Js2bJFUVFRSkhIkMlkUp06ddS6dWt17NjRocrdjiABC3CD+vXr6+qrr9amTZuUk5Ojn376Sffdd5/d1yxdutRYvuWWW2y2GTBggPr27auuXbvKz8+v0PO5ublasmSJXn31VaWnpxtT5rli2rfU1FRt3rxZUn5ZwVq1atlt/+uvvyo7O1tt27bVjBkz1LRpU6t+Wgb/TZs2ae7cuRo5cqTNbY0dO9ZIvgoICNBrr72mm266yapNdHS0/vOf/+j48eNGRYmlS5cW6mevXr10//3364svvpDZbNbzzz+vpUuXWt00WL58uXEg4eXlpWnTpqlGjRoOfEru89NPP1klXw0dOlQvvvii1UFGamqqJk6caPwtffHFF7rqqqt0/fXXW20rOTnZ2JbJZNLrr7+uW2+91eZ0S2fPntWvv/5q8+9tzpw5xs2HG264Qa+++qrN8rOZmZnauHGjVq1a5cQ7B4CSqa4xOCcnR0899ZRxocDPz0/PPfec7rjjjkLTKGVlZWn9+vX6/vvvnerPZ599ZiQfXXXVVZoxY4bNiyk5OTnavn27Fi5c6NCUfu6SlZWlp59+2rioERISomnTphUahbZ+/XqNGTNGycnJSkhI0DPPPKMFCxYU+vxc8f7379+vlStXSso/tpk1a1aRN/wLKnOFhIQ49wEAgAtV1zibnJyscePGGec/rVq10qxZs6xuHOTl5Wnu3LmaPn263nzzzSL316FDB2NKi3fffde4WN6nT59KMd1ggTfffNNIvjKZTHr++ec1fPhwq2k2jhw5oqefflp79uxRTk6OXnzxRV1xxRVq2LCh1bbWrFlj3MwICwvTe++9V+S0HwcPHtSSJUsKXXDPycnRBx98YKw/88wzevDBB21OJ5mSkqJVq1ZZJWYDqHpef/11hYWFafr06YVuMn366afGb/X333+v5s2ba8GCBYqIiNCMGTOsbhrm5ubqzTff1BdffCEpvzr9fffdZ/MGTV5enp555hnjBlb79u01ceLEQjfxMjMz9fHHH2v27Nkym816+eWX1bFjR6u4NmHCBEn5v3sFN7Lvv/9+hyoyWJo5c6a8vb01YcIEDRs2zOrcJCsrq0TbkvITqy1vYnfr1k0TJkyweTP9+PHjWrx4caHrha743b+U5eAWR25kT5kyRf7+/po8eXKh5OCffvpJY8aMUW5urtavX6/PP/9cb7/9turWravp06cXqgjx2Wef6Y033pAkLVq0SCNGjCgU6y61bds2o2KEt7e3brzxRuO5evXqqXv37kbF6h9++MHm9MWlsW/fPqsBs8X11xmWg8McnUI6PDzcuJF9+PBhh75LR73yyis2H/fw8FDfvn01evRolycMACVB3MpH3LKNuEXcKuCuuOXM+7dsV9oELMv79AWD9OzJzs62Snh0dP9FXcPy9/fX7bffrlGjRpX6Orz9yUcBOM0y+3fZsmV22164cMEoNSnZnpJByv+x7dOnj80L0lL+Rc+hQ4fq9ddfl5T/4/Ptt9+WsOe2rVu3TtnZ2ZIcOxjIzs5WvXr1NHfuXKvkq4J+jho1So899pjx2Jw5c2xWidi4caPVtHUzZ84slHwl5Y8W/vzzz1WzZk1J+T/OX375pc2+jRkzxpgbumCEcoETJ05YBbUnnnii3Ecd5+Xlafr06cb6wIEDNXny5EIHcIGBgZo6daquu+4647G33nqrUHnRnTt3GjcOBg0apNtuu63IG+N169bV8OHDbU55tHXrVkn5o9SnTJlS5Nzfvr6+6tOnj8NZ9ABQWtUxBv/www/avn27pPyT4Llz5+ree++1edPRx8dH/fr103vvvedUfwp+/yVp8uTJNpOPpPwk5i5dumjatGnFljp3p2XLlmn//v2S8j+bTz75xGYJ8J49e+qjjz4yKnLu2bNHK1asKNTOFe/fchv333+/3cqijRo10mOPPebSE3gAKI3qGGc///xzJSYmSpJCQ0P1+eefF7pg7+npqUceeUSjR482tldVHTt2zKqi8osvvqgHHnjAKvlKyp9K47PPPtNll10mKT/Zzdbxx7Zt24zl0aNHF3kzQ8ofjT9mzJhC5+mHDx9WcnKyJKlTp04aMWKEzeMgSQoKCtLtt9/u8qksAVQsHh4e+uyzz2ze+H3ooYeMc4KcnBxNmTJFISEh+uqrrwrdyCpIMi2ojpuenm4V2ywtXbrUmL7myiuv1FdffWWzgoKvr68ef/xx/fvf/za2+cknnzj9Xu3JycnR5MmTdccddxS6/ufj41PibU2cONG4id23b1/NnTu3yEomjRo10ujRo3XbbbdZPe6K3/1LFVSzDAoKUqdOnYp9L9nZ2Zo9e7bNyoyDBg3S0KFDjfUpU6bI29tbn3/+uc3peB588EHj7ykvL08///xzsfv/8ccfjeVrr71WQUFBVs9bHjMtW7bMuJbrKnPmzLFad/X0yRcvXtTFixeNdUcrdVi2c7bSTUmZzWatXr1aw4YN08KFC8tkn4AtxK18xC3biFvErQLuilspKSnGsqMJSJbvPyMjw6kkyQJt27Y1ljdu3FjsdZXNmzdbfWeW/XdGRkaGvv76aw0ZMkQ7d+4s1bZIwALc5IYbbjAuHu/cudNq+rxL/fLLL8aP0pVXXlnqEoU33HCDkc3+119/lWpbBUqajS1JTz75pOrUqVPk86NGjVJYWJik/AO25cuXF2pjeVG3X79+uvbaa4vcXsOGDa2qaH377bc2Sxb6+PhoxowZxvezatUqzZ8/X7m5uXr22WeNMpZXX3213dKsZWX9+vVGyVhvb2+NHz++yIQpDw8Pvfzyy8aF5mPHjhlZ5wUsE92Kmy7EnoLqH/7+/uVeIQwALFXHGPzpp58ay//85z/dOt95we+/VLo4UlYsjyXuuusuuyWk27dvb5V0PH/+/EJtXPH+XRWLAaA8VLc4azabrapGFjca8l//+peRcFRVLVy40Bjo06ZNG91zzz1Ftq1du7bGjBljrC9fvtxq6gjJOi7au4ZgD7EVwKXuvPNOtWzZssjnLx3gOXLkyCJ/300mk1Wlh4LqhZf6/PPPjeWJEycWmVhcYMSIEUblxRUrVhQaROkK7du3LzIBuqT++9//GlOkBwQEaPLkycYAlpJwxe++pePHjxvTc/Xu3duhAUD9+vWzOTCnwKV/H3feeafdKbMs2xf191EgMzPT6ma3ZXJ7geuvv9445klMTNS6devsbtNRaWlpmjRpkn799Vfjsd69e6t58+Yu2X6B9PR0q3VfX1+HXmf5b+bSbTirS5cuGjt2rBYuXKjNmzdrz5492rx5s+bNm6d//vOfxueclZWlCRMmOJSIALgDcSsfccs24hZxy91xy7L/xf0WFNXO8rp5SfXt29cY1JWQkFBkkRUpP7nynXfecXjfPj4+uvHGG/XGG29o+fLl2rZtm3bv3q0NGzboww8/1A033GDcd4+Pj9fIkSOtKoKVFFMQAm4SGBiovn37Gj98S5cu1eOPP26zreWUDI4eWOzfv1/79u3TyZMnlZqaWiirtOCH4sCBA8rLyys0ErUkcnNzjSpUERERaty4cbGvKfgxK67NTTfdZBzkbdq0SXfddZdVm4Lse0m6/fbbi93v7bffrhkzZigvL0/x8fE6fPiwzYOMFi1a6Pnnn9fEiRMlSW+88YaioqKM6iG1atXS1KlTS/W5ucrGjRuN5T59+hhJa0WpV6+eevbsaWTQb9q0Sb169TKeDw8PN5Z/++03uwfq9tSvX1/Hjx/XuXPn9NNPP2nQoEEl3gYAuEN1i8EnT560KrFb3FRQpVW/fn0dOXJEUn6CUkVIVi5Kamqqdu/ebaz/4x//KPY1w4YNMxKvoqOjlZ6eblWm3RXvv379+sbykiVLdMcdd8jf37/E2wGA8lDd4uyhQ4eMsvZeXl5FTqNYwNvbWzfffLM+/PBDp/tV0Vmeo9qrqFxgwIABCgoKUkpKirKysrRjxw717t3beN4yLi5atEh9+/YtcfVMy/PcTZs2KTY21hj1D6B6uuGGG+w+36pVK6t1WxUlLFneFC8YKGnp7Nmz2rdvn6T8646OTAnj6+urK6+8UmvXrtWFCxd04MABl0+BZmsmAWdZ3ky96aabnE54dcXvvqVVq1YZy3379nXoNcX9fRTMnuBoe8u/J1t/H5ZWrlxpJCMHBQXZrIgcEBCgAQMGaMmSJZLyq147+t6k/GmOLQfM5uTk6OzZs9q6datVInRISIgxbZgrZWZmWq07WrXGsp1lVQtnvfPOOzaTJWrXrq2rrrpKV111le68806NGDFCx48fl9ls1iuvvKKePXsaM20AZYW4lY+4ZRtxKx9xq+Rxq2vXroqJiSl235afQVHVpC916ed06edYEo0bN9ZNN91kVFqfMWOGvL29de+991r9e0tKStL48eMLVamyt++1a9fa/FxDQ0N17bXX6tprr9WaNWs0evRoZWZmKiUlRRMnTrRKUi0JErAANxo8eLBxUXrZsmU2L0qfPn1aW7ZskVR43lxbfvjhB82ZM8e48Vec7OxsXbhwocjp4RyxY8cOo3Sfo9WvWrVq5VBVpCuvvNJY3rt3r9VzZ86cMaZ5kORQGc7g4GA1bdrUuBG9d+/eIrO877nnHq1du1Zr1qzRxYsXtXjxYuO5iRMnOjzHrbsVHARLUseOHR16TadOnYwErEs/1w4dOig8PFxxcXE6deqUbrrpJg0dOlT9+vVT+/btHT6wuPHGG/XRRx9Jkp5++mkjCatr166lnh8XAEqrOsXgXbt2GctNmza1uijgDjfeeKNx43X69On6888/dcstt6hHjx5u33dJxcTEKDc3V1L+hYBLL0bY0qZNGwUEBCg9PV25ubnav3+/1TGIK95/nz59jH3s2bNHN954o/7xj3+oT58+uvzyy8t1ykYAcER1irOW51PNmzc3RnzbY3meW9WYzWZjal/JsXNUb29vtWvXzrgBsnfvXqsErIEDB2r27NnKy8vT77//rptvvlm33367evfurZYtWxab4CXlJ2BdeeWV2rlzpy5cuKChQ4dqyJAhGjBggDp16kSiM1ANXXqj+lKW8aNmzZpFTi1ewHKqHctKGAUsbwJdvHhRkyZNcqiflpUkT58+7fIb2ZbTuZSW5Xu0NUWWo1zxu2+p4Bqot7e3VXyxp7i/j0vjvb2qNJL135Otvw9LP/zwg7E8cODAIq/FDhkyxLiRvWbNGp07d87h4x7LqaKK0rZtW02bNk2NGjVyaJslcWnlEEenJLJs52j1DXscqVTTvHlzzZkzR0OGDFFOTo5SUlK0aNEiPfTQQ6XeP1ASxK18xC3biFvErQLuiluWn0Fx0/8VuPRzcrRyWFFeeuklRUVF6ejRo8rJydHrr7+uTz75RFdddZUCAwMVFxenLVu2KCMjQyaTSddee62R0GgvJ8GRz7Vv374aP368XnrpJUn5Vdd3796tK664osTvgwQswI169eqlOnXqKDk5WUeOHFFUVFSheX+XLVtmTJPXs2fPIjOwzWazxo0bZ5Uk5Ki0tLRSXZR2Jhvb0eQly3bJyclWzyUlJRnLfn5+DmenX3bZZUYC1qXbvNTkyZM1ePBgY0SzlD+CtyJVc7L8HBz9XBs2bGgsX/oZeHt7a+rUqRo5cqTS09OVnJysuXPnau7cufL19dUVV1yhq6++Wr1791anTp2KPHh87LHHtHnzZu3cuVNms1m//fabfvvtN0n5CQCdO3dW9+7d1bdvXwUGBpb0bQNAqVSnGJyQkGAsW/7+u8uwYcO0bt06rVy5UlL+yUjBNFANGjRQ586d1bVrV1133XXlPgWQZQwMDw936IKIp6en6tevX+SxhCvef506dfTaa6/p+eefV3Z2tuLi4vTuu+/q3XffVUBAgDp06KCrr75a/fr1U5s2bZx67wDgTtUpzlqej1lWWbKnogzmcYcLFy5YXYx1dLpFy3aXxtaIiAg9++yzmjp1qsxmsw4fPqy33npLb731lmrXrq2OHTvq6quv1nXXXWe3qtXrr7+uBx54QAkJCUpPT9f8+fM1f/58eXl5qXXr1rr66qvVs2dPde/enWRnoBoornqN5e+AI5VuLNvn5OQUev7s2bPG8okTJzRv3jxHumnl3LlzJX5NcVx5TmY5ULY0Nz9d9bsvSefPn9e2bdskSVdffbXD1yCLa3fpFFUl+Xuy9fdR4OzZs/rzzz+NdVvTOBXo3r276tatq7NnzyorK0srVqywO+1vcf0LDAxUvXr11K5dO91www3q3bt3iZMGHGVZRVpyvCKGZfWQS7fhTi1atNCgQYOM6q1r164lAQtljriVj7hlG3GLuGXJHXHLsv+OVvO6tJ0jhVnsqV27tubPn6+nnnpKmzdvlpRfrGXFihWF9jNp0iTFx8cb13VcUbnyH//4hz744AOdOnVKUv7n6kwCVvnPrQVUYd7e3laJPJbTL9h6zF7gWrhwodUF6V69eunNN9/UsmXLtGXLFkVHRysmJsb4z/LiZmnnYS7Ixg4ODna4ApOjmb6Wo1AvnZ/Vcr0ko1Utg0Rx8836+/sXCgj9+/d3eF9lwXLeXUcDuL3PVcqfQ3jp0qW69dZbrb6rzMxMbdu2TXPmzNE999yjgQMHGjeYLxUQEKCvvvpKzz33XKGL7keOHNH333+vMWPGqGfPnpo6dapLym8CgKOqUwy2/J0v7UmOI0wmk2bPnq3XXntNLVq0sHru1KlTWrZsmcaPH6/evXvrxRdfNCqLlAdnjyXsxVFXvf+bbrpJixYt0oABA6zKOqenp+uvv/7SO++8o1tvvVVDhw7V1q1bHe47AJSF6hRnLc/HnDnPrWosPw/J8fda3Hn6Qw89pC+//FLdu3e3uqh+7tw5/f7773rrrbc0cOBA/fOf/yxy+oQWLVpoyZIlGj58uNXF15ycHO3evVufffaZHn74YfXt21eLFi1yqN8AKq+S3KBzxc08y+lxnFVQvdeVSluJwJLl73dpbzK64ndfyp9eqiAx2NGZG6SSf+euuuG7dOlS43tu1KiR3RkfPD09dfPNNxvrjlQHKbBq1Sqr46e9e/dq8+bNWrZsmSZPnqw+ffq47Sa2lH/MZHncZDlwzB7LdqVJsnfGNddcYywfOnSoTPcNSMStAsQt24hbxK1LuTpuWVbNs0xetMfy/fv7+zs8w5I9ISEh+uqrr/TRRx/plltuUaNGjeTv76+AgAC1bNlSjzzyiJYvX66bb7650ODr0vL09FS3bt2MdWc/VypgAW42ePBgI3P8559/1tixY43M4piYGB04cEBSfmamvWD76aefGstPPPGEzSkeLBWXeOSoI0eOKDY2VpJ07bXXytPTsbxNR5NtMjIyjOVLbxpbrlu2K47lBeHibkRPnjy50BQXr7zyijp16lTuVTsKWB4YXnqxuyj2PtcCjRo10ptvvqmXX35Z27Zt07Zt27R9+3bt2rXL+P6OHDmif//733rhhRf04IMPFtqGj4+PHn74YT300EOKiYnRli1btGPHDm3dulVnzpwx+jJ37lxt3bpVX375pUvKcAKAI6pLDLb8nXfVvovj4eGhYcOGadiwYYqNjdWWLVu0fft2bd26VcePH5eUX6r4u+++0+bNm7VgwYJyiavOHksUF0dd9f7btGmj2bNn6/z589qyZYsRi3fv3m1cjNmzZ4/uv/9+TZ8+vdjpuwCgLFWXOOvMKNCSxJzK5tIbFxkZGQ7dzHDkPL1Lly7q0qWLEhIStHnzZm3fvl3bt2/Xvn37jGS7v/76S3fccYc+/fRTde7cudA2QkNDNX78eD333HPauXOntm7dqh07dmj79u3G1BpnzpzR+PHjFRMTo/Hjxzv83gHAHsuE1H79+umDDz4ox964R40aNYxqJ45eo7THFb/7q1evNpZLciO7vFjejD5+/LgiIyMdfu2uXbt0+PBhNW/e3A09c71mzZpp3759kmRUkihOXFycsVzW7zMsLMxYLm5WDaAqIG6VHHGLuHWpqhS3LKu3Ofr+Ldu5+v336dNHffr0sdvm4MGDxnK7du1csl/Lz9XZgeVUwALc7Morr1STJk0k5WeCbtiwwXjOckTwDTfcUGRmd1xcnJEkVKtWLY0cOdLuPlNTU11W+tPyYMDR6Qcl54LTpXOwWt6ovHjxotXUD/acPHmyyG1aWrlypRYuXCgpv5pFwfcUHx9foS7CWn4Olp+XPSdOnDCWi5vbNiAgQL169dJTTz2lL7/8Ups2bdLbb79tNaf09OnTjYQqWzw8PNS6dWsNHz5cM2bM0Nq1a/XDDz9o6NChRptdu3Y5VcYWAJxVXWJwaGiosWz5+19WmjVrpjvuuENvvPGGVq5cqV9++UUPPvigcRP+2LFjmj17dpn3S7KOgadPnzamwrInLy9Pp0+ftrkNW1zx/mvVqqXrrrtOzz33nL799ltt3LhRU6ZMMaawys3N1cSJE6kmCaBCqS5x1pnzMUfbVUY1a9a0qtzo6Lm/o+fpUv6xzaBBgzR+/HgtXrxYGzZs0Lhx44wRuRcvXtTLL79sdxs+Pj7q0qWLRo0apY8//lgbN27Uxx9/bHUT5KuvvlJUVJRD/QeA4lielzlaNaGyCQkJMZZdee7p7O9+Tk6O1q5dK0lq1aqVw9Pilpfdu3db3Sh0RkmqiZS3iIgIY3nv3r3Ftj9z5ozVvx3L15cFywT6spxGCigvxC3nEbccR9xyH1fHLcv+x8fHKz4+vtjXWH5OZZ2AlpeXZ3U+7+gMXsWxTNZ0tro5CVhAGbjllluM5WXLlkmSzGaz1ZylgwcPLvL1lnMxN2/e3Opipy3btm1z6AajIwouSvv4+KhHjx4Ov+7gwYMOZZTv3LnTWL788sutnqtXr57VAdKOHTuK3V5SUpJVRatLt1ngzJkzevHFF431UaNG6YMPPjCqM61atUrffvttsfsrC23atDGWHfkMLm1X1GdQFD8/Pw0cOFBfffWVcRCenZ2tdevWlWg7l19+uaZMmaJhw4YZj1ne5ACAslAdYnCHDh2M5SNHjlglD5WHZs2a6YUXXtATTzxhPFZev/+RkZFGIlRaWprdEuAF9u/fbxzDmEwmtW7dukT7dMX7DwwM1NChQ/XFF18YpZuTk5MdPg4AgLJSHeKs5fnU4cOHHZqqw/I8t6opGHxTwJHYlJOTo+joaGO9pOeowcHBeuCBB/T+++8bjx08eNCoOukIb29v9e7dW59//rnVYKOCaSgBoLQsz8v27dvnkkobFc2VV15pLG/cuNFt+3H0d3/r1q06f/68pMpXRSQoKEgdOnRw6D/LihRLliwp9RTMZaVr167G8ubNm4ttv2XLFmO5QYMGRqJ/WbG8iVy3bt0y3TdQHohbrkPcIm5VhbjVtGlT1a9f31h35DOwbGM5dV9Z2LRpk5EAFxQUpGuvvdYl2y2ogiY5/7mSgAWUAcsLzitXrlRGRoY2b95sjIoNDw9Xly5diny95by2jkxlMH/+/FL09n9SUlK0fft2SfmBp7jp/CxlZmbql19+sdsmKytLP/30k7FuGdxsPfbDDz8Uu98ffvjBCOZ169a1mXFrNpv1wgsvGKUDO3bsqMcee0wRERF67rnnjHZvvPFGhZjv3TJo/fHHH8XOvXvmzBmrZClng15QUJDVfM6Ozvl7KcsDyao6kgJAxVUdYvBll11mNUKlolQbrAi//4GBgbriiiuMdUeOJb777jtjuX379k6PIHLF+2/cuLFatmxprDsbiwHAXapDnG3evLlRgj4nJ0fLly+3u21H2lR2lueYP/74Y7FJcStXrjTOv319fZ0emdq5c2djVLnkXHy9NOGO2ArAVRo1amSclxVMR+4KllUkc3JyXLJNZ/Xq1ctYXrFihcOzFTiruN99yyTain4jOzs72+r44NFHH9XChQsd+m/evHnGwKLTp0+7NYnAlfr162dM8RwbG1tsgrrl+fp1113nzq4VkpWVZVXB1d7xK1BVELdcj7hF3Cor7ohbHh4eVn+Xixcvttt+x44dRkEUk8lU5n/T77zzjrF82223FVl5vSQOHTpkNcjM2c+VBCygDDRp0sTItE5PT9fKlSuN0cFS/qhhywvPl2rYsKHxfHGjPH/66SeXjeBcu3atcnNzJTl3MPDOO+/YnR7iww8/NKa1CwgI0M0331yozZ133mks//bbb3arMJ08eVJz5syxeq2tz/XTTz/Vn3/+KSn/xuxbb71lHAzce++9xvQTGRkZevbZZ5WVlWXvbbpdz5491bBhQ0n5QXXy5MlFtjWbzXrttdeUnZ0tKf/G7TXXXGPVpiRzAVtOnWE59UZWVpbS0tJKvA3LimYAUBaqSwx+8MEHjeXPPvtMW7dudUk/bHH0YoVlJa7y/P23PJaYN2+e9u/fX2Tb3bt3a8GCBcb6XXfdVaiNK96/o9vIzc21qg5DHAVQ0VSHOOvp6anbb7/dWH/vvffs/o5/+umn5TIlcFm64447jAvTe/bssYqdlzp//rzeeustY/2mm25SzZo1rdo4GhfPnz9vdR5qGRfPnTvn8Mjqos5zAaC0HnnkEWN51qxZDlXgLVDUNC+WN3ILrqOWl+uvv96YLik9PV3jxo1z6ua6K373pf/dyA4LC1P79u1L3I+y9McffxjXZD09PXXTTTc5/NqQkBCr67uODCyqCEJDQzVgwABj/a233ioyaXv9+vVav369pPybuLbOxUvK0WvXkjR16lSr4zd7FVyBqoS45RjiFnHrUlU1bt11113Guf769eu1YcMGm+3y8vKszvMHDhxYpufW7777rjGoLiwsTI899liRbR39XDMyMjR27FjjWlGdOnWskjhLggQsoIxY/vh99913+vXXX20+Z0twcLBxUTsvL09PPvmkDh8+bNUmLy9P8+bN03PPPSeTyeSSTE/L6XJKmoDl7e2tuLg4PfTQQzp27JjVc7m5ufrwww/13nvvGY+NGDFCgYGBhbbTrVs39e7d21h/8skn9fPPPxdqt3v3bj344ING+c7w8HDdf//9hdrt27dPM2fONNZfeuklNWrUyKrN5MmTjan39uzZo1mzZjnwjt3H09NTzzzzjLG+fPlyjR8/vlDQSE1N1dixY/Xf//7XeOzZZ581gmWBr7/+WkOGDNE333xT5EFyWlqaZs6caUwTYTKZ1LNnT+P5s2fP6tprr9Wbb75pNZXEpTZs2KB3333XWLf8LgGgrFSHGHzbbbcZ1SSys7P1r3/9S/PmzTMSci1lZWVp9erV+ve//+1U3/r27asJEyZo8+bNRd7ojI6O1quvvmqsl+fv/y233GJMlVTw2dgaefXnn3/qkUceMS7EtG3b1ubFBVe8/7feekv33nuvfvzxR+PY5VLJyckaP368EasDAwNdNpc9ALhSdYizDzzwgOrUqSMp/0bDgw8+WKhacl5enj799FPNnDmz2KkUK7vGjRtbJTi/+uqrmjdvXqG4ePToUT300EPGheHAwECbxx9PPfWURo4cqV9++aXISmhnzpzRM888YxzbNG3aVI0bNzaeX7VqlW644QbNnTu3yAS4rKwsff3111Z/o5yjAnClwYMHG1UC09LSdM899+jbb78tcnBnamqqli5dquHDh1udP1iynDb1119/ddlUvM7w8vLSSy+9ZCRPr1mzRg8//HCRMwicOHFCb7/9ttUURpJrfvcPHTqko0ePSpL69OljN+G7IrC8+dytW7cST2ljOe3zb7/9ptTUVJf1zZ1Gjx5tHBdt3bpVzz//fKFpzjZu3Gh17XvIkCFq0aJFkdt89913FRkZafxXlCeeeELjxo3Tli1bijx3P378uJ588kl99dVXxmODBg2ymrYMqMqIW9aIW/9D3Ko6cWvTpk1W+9+0aVORbSMjI62+u6effrpQ+/T0dL3wwgvatm2bpPx8gNGjRxe5zYLtFvxnec/4Uvv379fkyZN14MABm8/Hx8dr7Nixmj17tqT8++cTJ05U7dq1i9xmv3799Pbbb9ud8Wrbtm268847tWvXLuOx0aNHl2hmMEteTr0KQIndeOONmjJlirKzs61u+l1++eVWU8sUZfTo0XrooYeUl5envXv3avDgwerYsaMaNWqk9PR0bd261bhB95///EcLFy7UyZMnne5vdna2UW3q8ssvt5r31RE33HCDjh07pqioKN14443q3LmzGjdurLS0NG3ZssUq8efqq6+2yrS/1JQpU3T33Xfr2LFjSk9P11NPPaVZs2apffv28vb21qFDh7Rr1y7jQC4gIEDTp09XrVq1rLZz8eJFqwOgm266Sbfeemuh/QUHB2vy5MkaMWKEpPxKIr179y7z+WstDRo0SFu3bjWmlVq0aJF++uknde3aVaGhoUpMTNRff/1ldSDwwAMP6Prrr7e5vf3792vixImaNGmSMb1RnTp1lJOTo/j4eG3fvt1qW4888ojCw8OttnH+/Hl9+umn+vTTTxUUFKQ2bdqoXr168vX1VWJiomJiYqxGsDdt2tRmUhwAuFt1iMFeXl6aNWuWHnjgAR05ckQZGRmaNGmSZs2apU6dOiksLEy5ubk6efKk9uzZo9TU1ELVJxx18eJFLViwQAsWLFCNGjXUpk0bNWjQQP7+/kpJSdHhw4d18OBBo31wcLAef/xxp/blCj4+PpoxY4buu+8+JSUlKT4+Xg888IBat26tNm3aSMpP0LasjBUSEqLp06fbvIHuivdvNpu1detWbd26VSaTSc2bN1fz5s1Vu3ZtXbx4UWfOnNH27dutEuief/55+fn5ufrjAYBSqw5xNjg4WK+//rqeeOIJ5ebmav/+/br55pvVuXNnNW3aVOnp6dqyZYtRtXDs2LF6/fXXne5jZfD8889r9+7dio6OVk5OjiZNmqSPPvpInTt3VkBAgI4dO6atW7cao0e9vLz0+uuvG9WdLZnNZv3+++/6/fff5e3trZYtW6pp06aqWbOm0tLSdOrUKe3cudO4CG0ymfTiiy8W2s6xY8c0depUTZ06VQ0aNFBkZKQxCjchIUG7du0ypkKU8m8KdOrUyQ2fDoDqymQyadasWXr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      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 24,
     "metadata": {
      "image/png": {
       "width": 1000
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.display import Image\n",
    "\n",
    "Image(filename=f\"/teamspace/studios/this_studio/ObjectDetection/Test1/yolov9/runs/train/yolov9-e-finetuning2/results.png\", width=1000)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 767
    },
    "id": "KsWtNGrWcArM",
    "outputId": "662ea0ce-cda0-4a89-8294-611e8ad73a64"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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krMFP/keOzi5KPhurZTO+rdQ8PrV9NfCR5yRJR8K2advKJRaPdXEr+m+MMaPi58N4/vlwdnWrINIyK/6cp19/+kqSVLd+iF56+zO5WPlcZ2UZNWnii4o4XNABvv89wzXwvgerJL9rnZtb0QUo6enpFcZnZhTEuFn5/nBzL1onI6P8dTKKvU9dK/k+vHPwfabtndu3VmoOAAAAXHoUuAMAUIH+/furdu3apv3iheyFEhIStHjxYtP+kCFDSnQbKJScnFyluVnyZVJ1SU1NNW1f2B3+UrOl5zklJUWnTp2y+CclJaUKMwcAAAAAAMCVzsHJSa4eBd1IUxPNd0wvlJmWaipw96xV55Lk4+bprcCmBXdMPLJjg3IvuPth+Lrlys8vKIztdveDsrMzX1DbuudtquEXKEnau+6vi264AcC8rNx8JaUXdET29Sy/67ans4PczhfBx6RUfEFNcTEpRtN2XKqxnEgppthxHzfHCud2sDPo5lBfSdLZc1naHJFQwYiyOTo5y+18h+fks+V/pmacS1XW+c9U71q+lV6zPO5ePgpu1kqStH/bv6U+Uy3VpG0nUzf2vZvWWDzOyclZHl7ekqSE+PIvHDiXmmIqcK9V26/cWEtsWLVcP375gSSptl+AXn7vS3l5+1g1R25ujj5/52Xt271NktT7tkEaNvrZi84NBZydneXt4yNJiouNLjc2JSXZVHzu6+9v1Tq+vkXxsTHlvw9joovy8LNynUINGjYybcfFVnznBAAAAFQPh+pOAAAAW+fo6KihQ4fq888/lyQtXrxYiYmJqlGjhilm9uzZMhqLvpAdOXKk2bnc3Ep2EvD19ZWnp2XdScxxcLDd/5QX/73OnSu7U8ulYEvPs5eXlwIDA62KBwAAAAAAAIqrFRikkwfDlRRzWnm5ubKzN180nnA6qmhM3aBLlo+bZ0ExZE6WURnnkuXhU8t07GyxHPyCm5Q7j29IYyXGnFJmWqrSU5Lk7l2j3HgAlRNxNk3t3XxUr4ar7A1SbhnXkwTXKvpuPfKsdY1fIuLTTNt2doZyY+0MRcdz8yq+uOXGxrXk7VpQCL98X4wsGFIu33ohitwfpoToU8rNzZG9vflzAHGnT5i269QLvrhFy+Hu5SOp4A4caanJ8qpRq/wBZtjZ2cvF3VPZWUYlxVnX4b5eUEMdCN+p6NMny30+TkdFmrYDg0KszrG47RvX6OuP3lB+Xp58atbWhPe/Uq061hXN5+Xl6asP39COTeskSV173qJHnn3lovJCaQ0aNNKundt1MuqEcnJyyjxndjwiwrQdEtLQujWKFZwfjzxWbmzx4yENGpUTWTaDofzPKAAAANgG262KAwDAhowaNcpU4G40GjV79mw98cQTpuPFu7q3atVKnTp1MjtPrVolv5R87bXX9PTTT1+CjKtf8d/1zJkz1ba2VL3P89ixYzV27NhqWRsAAAAAAABXh8CmrXTyYLiyjZmKiTykgEahZuOiDoQVjWnS4pLlk5p41rTt5Oxa4ljxju15ebnlzpOXW3S8rE7vAC7e7qgUta/vIzcnezX399TeM6lm49oHeZu2w05ad7fR6BSjziRnKsDbRQFeLuXG1qtRdLyibu+S1K9VUeHzknDrirfNCW7WWpH7w5RlzNTpY4dUv4zPy4h9u4qNaXXR65YlJaGok7yzi2s5kWXLyclWemrB3W2drJyjacu2OhC+U8bMDEUcPqDGzc3/rgf27CgxprLCd27R5++8otzcXHl4eeuV976UX916Vs/zw2fvauPqvyRJHbp211P/+a/s7OwqnRfMa9Oug3bt3K6MjAwd3L9XLVubf+137thaYow16gbWU+06voqPi9XO7dvKjd21Y7skqY6vnwLqWt5gqriIY0dN23XqXJo73gAAAODi8a97AAAs0L59e7Vp08a0X7yg/cCBA9qyZYtpv6zu7ZJUt25deXsXfUF88uTJKs7UdrRu3dq0HRMToxMnTpQTXbWupecZAAAAAAAAV7/GHbqZtsPX/mU2Jj8vT3v//UeS5Ozmofqh7S5JLqkJcTpzZL8kyau2n5xcS95N0buOv2n75ME9Zc6Tm5Oj00f2SZKc3dzl4lH5OzACKN/aw/Gm7f5t/M3GGCTdfr6QPCUzW9tPJFm9zuqDBet4uDioc7BPmXG9mhYVlO6uoJDey8VB3RrVlCQdijmnI7Fp5cZbIvS6G03b21ctNRuTl5ennWsKPm9d3D3UsGX7i17XnOSzsTpxqOCz0KeOn5wv+Ey11P6t/yo3J1uS5BfUwKqxnbr1Mm2vWb7YbExeXp7W/bNEkuTm4akWbc03eqrIob27NWnii8rOzpKbu4fGv/uF6oVY34V7+refaNWyhZKklu0669kJ75fZeR4Xp0fvPqbtPxbNNxuTl5enpX8UvB6enl7q2Ok6q9YwGAzq0esmSQUd2sPDdpuNCw/bberg3r3nTZXuxL5g7m+m7fYdO1dqDgAAAFx6FLgDAGCh4oXrmzdv1sGDByWVLHa3t7fX8OHDy5zD3t5evXr1Mu2vXLmy6hO1ET179iyxP3fu3Mu29rX0PAMAAAAAAODqF9Coueqd7x68Z+0ynT68r1TM1qVzlHC6oMlEh753yt6hZKHfif279fGDffXxg3219LuPSo1POHNSJ/btLDcPY3qa/vz6PVMRZYsbbi4V06h9F9P2ut9+lDHDfDHqhvk/Ky0pQZLUoM11lS5SA1CxfWdStTMqSZJ0Rxt/tarrVSpm6HX11KC2uyTpt22nlJuXX+J4hyBvbRrfU5vG99Rr/ZuZXWf2tpPKzC64M8OzfRrJzan0nRlua+mrjueL39cfOavYCjq4923hK0f7grKGpVXQvV2S6jcOVUhoQVOj7auW6MShvaVi/v3jN8WdOi5J6tZvcKnP1GN7d2rCfb004b5emjPlvVLj409H6Wj4jlKPF5eZfk6/ff626TO1fY9bS8UcCdums9HlN/GJPRmpP3763LTfvmfpecrTuHlLNW9VUMC/evlCHdoXVirmz7kzdepEhCTptjsfkMMFz8e+3ds19NbOGnprZ33z8USz60QePagPX39exswMObu4atxbn6phE/N3JCnPnOnfaem8WZKkpi3a6IU3J8nRycnqeWCZlq3aqF37jpKkxQvnac/uXaViZk3/SZERBYXn9w0ZLgdHxxLHd2zbous7tND1HVrorTdeMbvO/UMflL19wWfG5A/fUWZmZonjmZmZmvzhO5IkewcHPTBsRKk5wsN2Kz4urtTjhfLz8/XtlM+0dfNGSVKTps2s7jYPlMfAzyX/AQBcW7iEFQAACw0fPlz/+c9/lJOTI0n6+eef9dZbb2nGjBmmmFtvvVX+/ua7nxQaMmSIFi4s6GKwdetWrV+/XjfeeGO5Y65Et9xyi2rVqqWzZwtuV/z555/rsccek7u7+2VZ/1p5ngEAAAAAAHBt6D3sSf3y9vPKyTLq949eVteBD6h+aDvlZBl1YPNqha0q6Kxbw7+eOve7x+r5zyWd1W/v/0d1ghqqcYdu8m/QRG7eNWVnZ6+05ASdPrxXe9YsV1pyQVF67Xoh6jLg/lLzhLTupKAW7XRi3y7FRR3Tz68+oQ5971JAw2ayd3RSUuxp7Vm7TJFh2yRJjs4u6nZX2U1DAFSNT/45qu+Gt5OLo70+u7+1pm08oe0nkuTsYK9bQuvorvZ1JUnHz6Zr1pbK3RU1JsWo/62L1JibGqmxr4d+HNlB0zed0JHYNLk7O6h3s9qmdc5l5uizFUcrnLPf+a7yObl5Wr63agrcJan/qDH67rWnlZ1l1E9vv6hedw1Xg5btlJOVpbANK7X1n4JO5rUD6uvGgaU/6yqSkhivH/87Vv7BjdSi842q27CZPH1qys7eXqlJCTpxcI+2rVyic+cv9PGr30A97hxaap7jB/Zo2rsvqWHrjmrStrP8gxrKzdNbebm5SoqP1uHd27Rr7V/Kyc6SJHXsfbsatbK+YPfBJ17QxLGPKMto1PuvjNGgB0apRdtOyjIatXHNX1q5pKBzd0C9IPUfPMzq+WNOn9T7rzyj9HOpkqT7Rj4uN3d3RUUeKXOMl09NefvULPHY8oW/at6M/0mSatb21ZBHn1Fc9Kly1w6oF1KqIB/WeW7cy/q/h4fLmJmp5556VA8+/Jg6duoiozFTfy9fooXzfpckBQWHaMiIhyq1RlBwiIY++JCm//S99u8L1/89PEwjRj6qwPr1dSoqStOnfa9DBwruIDNsxEOqHxRSao5NG9Zp+tTv1bXbjercpZsaNGwkD09PZWdl68jhg/pj4TztDS+4gMPFxVXjX/svF9gBAADYMP4VDwCAhXx9fXXbbbfpjz/+kCRNnz5dPXr00MmTRV/0Fu/yXpZ7771XEydO1IEDB0xjNmzYID8/P6vyyczMlIuLi1VjLic3Nzc9/fTTevPNNyVJkZGReuKJJzR16lTZ2V36m8hcK88zAAAAAAAArg1+IY018KlX9Oc3HygrI13rfv+pVEwN/3q6+4W35OTqVul14k4cU9yJY+XGNGzbRbeNfkGOzua/N7tjzGta+Pl/FbV/t5LjorVq5tdm41w9vTXgiZdVM6B+pfMFYJlDMef06sL9mjiguTxcHPRkr4alYo6fTdcLv+9RelZupdeZueWkvFwdNaJrfYXUctNr/ZuXiklIy9JLc/cqKjGj3LmCa7qq5flu85sjEpWQnl3pvC5Ut0ET3f/cG/r9i3dkzEjTX7/8r1RM7YD6evDl9+R8EZ+p0cePKvp4+YX8zTp01eAnx8upjM/UvLw8Hdm9VUd2by1zDjs7O90w4D71HTq6UnmGNG6mMa+8q68+eF0Z6Wn69aevSsUE1AvSuP9+Klc36xsZHQjfqZTzxfySNP3bTyocc/fw0bpnxGMlHtuyvuiOvQnxsXpz7KMVzvPZtIWq41/XimxxoWbNW+it9ybpzdf+o7Rz5/TNl5+WigkKDtHHn319UY2uHn/qOSUmJOiPhfN06MB+vfbyC6V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      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 30,
     "metadata": {
      "image/png": {
       "width": 1000
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.display import Image\n",
    "\n",
    "Image(filename=\"/teamspace/studios/this_studio/ObjectDetection/Test1/yolov9/runs/train/yolov9-e-finetuning2/confusion_matrix.png\", width=1000)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "LnzG3rGxcGQh"
   },
   "source": [
    "#**Step 08: Validate Custom Model**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "f1LPmJNacI_u",
    "outputId": "35a9a436-d864-4d66-f9dd-dd82f99f84d8"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[34m\u001b[1mval_dual: \u001b[0mdata=Construction-Site-Safety-30/data.yaml, weights=['runs/train/yolov9-e-finetuning2/weights/best.pt'], batch_size=16, imgsz=640, conf_thres=0.001, iou_thres=0.7, max_det=300, task=val, device=0, workers=8, single_cls=False, augment=False, verbose=False, save_txt=False, save_hybrid=False, save_conf=False, save_json=True, project=runs/val, name=yolov9_ppe_c_640_val, exist_ok=False, half=False, dnn=False, min_items=0\n",
      "YOLO 🚀 v0.1-104-g5b1ea9a Python-3.10.10 torch-2.2.1+cu121 CUDA:0 (NVIDIA L4, 22700MiB)\n",
      "\n",
      "Fusing layers... \n",
      "yolov9-e summary: 839 layers, 68584822 parameters, 0 gradients, 240.9 GFLOPs\n",
      "\u001b[34m\u001b[1mval: \u001b[0mScanning /teamspace/studios/this_studio/ObjectDetection/Test1/yolov9/Constr\u001b[0m\n",
      "                 Class     Images  Instances          P          R      mAP50   \n",
      "                   all        114        733      0.792      0.481      0.593      0.421\n",
      "             Excavator        114         12      0.624      0.583      0.667      0.614\n",
      "                Gloves        114         25      0.593       0.36      0.408      0.232\n",
      "               Hardhat        114         79      0.944      0.671      0.816      0.595\n",
      "                Ladder        114         10      0.665        0.7      0.646      0.474\n",
      "                  Mask        114         21       0.92       0.81       0.86      0.626\n",
      "            NO-Hardhat        114         69      0.865      0.551      0.668      0.383\n",
      "               NO-Mask        114         74      0.802      0.439      0.523      0.181\n",
      "        NO-Safety Vest        114        106      0.863      0.594      0.699      0.413\n",
      "                Person        114        166      0.943      0.717      0.824      0.628\n",
      "           Safety Cone        114         44      0.841      0.841      0.838      0.517\n",
      "           Safety Vest        114         41      0.963      0.629      0.789      0.593\n",
      "            dump truck        114         13      0.634      0.692      0.766      0.577\n",
      "             machinery        114          8      0.552      0.467      0.591      0.475\n",
      "              mini-van        114          1          1          0          0          0\n",
      "                 sedan        114         13       0.95     0.0769      0.273      0.154\n",
      "               trailer        114          1      0.738          1      0.995      0.995\n",
      "                 truck        114          4      0.593       0.25       0.25       0.25\n",
      "     truck and trailer        114          3          1          0      0.913      0.359\n",
      "                   van        114          3          1          0      0.133      0.104\n",
      "               vehicle        114         18      0.339      0.222      0.225       0.19\n",
      "          wheel loader        114         22       0.81        0.5      0.565      0.479\n",
      "Speed: 0.2ms pre-process, 33.8ms inference, 3.0ms NMS per image at shape (16, 3, 640, 640)\n",
      "\n",
      "Evaluating pycocotools mAP... saving runs/val/yolov9_ppe_c_640_val/best_predictions.json...\n",
      "loading annotations into memory...\n",
      "pycocotools unable to run: [Errno 2] No such file or directory: '/teamspace/studios/this_studio/ObjectDetection/Test1/yolov9/annotations/instances_val2017.json'\n",
      "Results saved to \u001b[1mruns/val/yolov9_ppe_c_640_val\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "# evaluate yolov9 models\n",
    "!python val_dual.py --data 'Construction-Site-Safety-30/data.yaml' --img 640 --batch 16 --conf 0.001 --iou 0.7 --device 0 --weights 'runs/train/yolov9-e-finetuning2/weights/best.pt' --save-json --name yolov9_ppe_c_640_val\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "RmDno3C3cnhc"
   },
   "source": [
    "#**Step 09: Download the Demo Videos**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "fGD6PRZOcruj",
    "outputId": "049c55eb-aeec-49cc-afc6-c7caf512f35b"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Downloading...\n",
      "From: https://drive.google.com/uc?id=1Nyl18zr7zOJHh8uHtSic3dsJSY4LI_t-&confirm=t\n",
      "To: /content/yolov9/PPE_Part1.mp4\n",
      "\r",
      "  0% 0.00/14.2M [00:00<?, ?B/s]\r",
      "100% 14.2M/14.2M [00:00<00:00, 184MB/s]\n"
     ]
    }
   ],
   "source": [
    "!gdown \"https://drive.google.com/uc?id=1Nyl18zr7zOJHh8uHtSic3dsJSY4LI_t-&confirm=t\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "C8xXmN4OcuGy",
    "outputId": "982cc185-f374-43ee-ab27-705f01bb89c2"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Downloading...\n",
      "From: https://drive.google.com/uc?id=1SxcrDanPAr-PZfJjWBxoa2t8lUSM2dZn&confirm=t\n",
      "To: /content/yolov9/PPE_Part2.mp4\n",
      "\r",
      "  0% 0.00/11.1M [00:00<?, ?B/s]\r",
      "100% 11.1M/11.1M [00:00<00:00, 125MB/s]\n"
     ]
    }
   ],
   "source": [
    "!gdown \"https://drive.google.com/uc?id=1SxcrDanPAr-PZfJjWBxoa2t8lUSM2dZn&confirm=t\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "LszJio71cyqr"
   },
   "source": [
    "#**Step 10: Inference on Image**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "Mpxo9_QLc05z",
    "outputId": "9698900d-c6bf-4ac6-bc37-3e6b4b4acd48"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[34m\u001b[1mdetect_dual: \u001b[0mweights=['best.pt'], source=Construction-Site-Safety-30/valid/images/-1969-_png_jpg.rf.c383b0a9a12f96b66d8089f4b4cb8b5c.jpg, data=data/coco128.yaml, imgsz=[640, 640], conf_thres=0.25, iou_thres=0.45, max_det=1000, device=0, 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=yolov9_ppe_c_640_val, exist_ok=False, line_thickness=3, hide_labels=False, hide_conf=False, half=False, dnn=False, vid_stride=1\n",
      "YOLO 🚀 v0.1-104-g5b1ea9a Python-3.10.10 torch-2.2.1+cu121 CUDA:0 (NVIDIA L4, 22700MiB)\n",
      "\n",
      "Fusing layers... \n",
      "yolov9-e summary: 839 layers, 68557066 parameters, 0 gradients, 240.7 GFLOPs\n",
      "image 1/1 /teamspace/studios/this_studio/ObjectDetection/Test1/yolov9/Construction-Site-Safety-30/valid/images/-1969-_png_jpg.rf.c383b0a9a12f96b66d8089f4b4cb8b5c.jpg: 640x640 1 Protective Helmet, 23.4ms\n",
      "Speed: 0.3ms pre-process, 23.4ms inference, 279.6ms NMS per image at shape (1, 3, 640, 640)\n",
      "Results saved to \u001b[1mruns/detect/yolov9_ppe_c_640_val\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "# inference yolov9 models\n",
    "!python detect_dual.py --source 'Construction-Site-Safety-30/valid/images/-1969-_png_jpg.rf.c383b0a9a12f96b66d8089f4b4cb8b5c.jpg' --img 640 --device 0 --weights 'best.pt' --name yolov9_ppe_c_640_val\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 657
    },
    "id": "_bIjTO-RdD7P",
    "outputId": "e054e99f-9c0e-40e4-87d7-80ab95594c52"
   },
   "outputs": [
    {
     "data": {
      "image/jpeg": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Image(filename=f\"{HOME}/runs/detect/yolov9_c_ppe_640_detect/85_jpg.rf.bb831a912c797ce2a13ad85fe9e6094e.jpg\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "yWI-556pdJfa"
   },
   "source": [
    "#**Step 11: Inference on Video**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "YmUUALxEdQEx"
   },
   "source": [
    "#**Display the Output Video**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "KHvgK7F8dYd7",
    "outputId": "c028c4d1-a9bd-481a-fcc4-5afb2052bd19"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[34m\u001b[1mdetect_dual: \u001b[0mweights=['best.pt'], source=PPE_Part2.mp4, data=data/coco128.yaml, imgsz=[640, 640], conf_thres=0.25, iou_thres=0.45, max_det=1000, device=0, 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=yolov9_ppe_640_detect2, exist_ok=False, line_thickness=3, hide_labels=False, hide_conf=False, half=False, dnn=False, vid_stride=1\n",
      "YOLO 🚀 v0.1-76-g519346b Python-3.10.12 torch-2.2.1+cu121 CUDA:0 (Tesla T4, 15102MiB)\n",
      "\n",
      "Fusing layers... \n",
      "yolov9-e summary: 839 layers, 68557066 parameters, 0 gradients, 240.7 GFLOPs\n",
      "video 1/1 (1/267) /content/yolov9/PPE_Part2.mp4: 384x640 (no detections), 155.4ms\n",
      "video 1/1 (2/267) /content/yolov9/PPE_Part2.mp4: 384x640 1 Protective Helmet, 2 Safety Vests, 55.9ms\n",
      "video 1/1 (3/267) /content/yolov9/PPE_Part2.mp4: 384x640 1 Protective Helmet, 2 Safety Vests, 55.6ms\n",
      "video 1/1 (4/267) /content/yolov9/PPE_Part2.mp4: 384x640 2 Safety Vests, 55.8ms\n",
      "video 1/1 (5/267) /content/yolov9/PPE_Part2.mp4: 384x640 (no detections), 55.6ms\n",
      "video 1/1 (6/267) /content/yolov9/PPE_Part2.mp4: 384x640 (no detections), 44.0ms\n",
      "video 1/1 (7/267) /content/yolov9/PPE_Part2.mp4: 384x640 1 Safety Vest, 42.7ms\n",
      "video 1/1 (8/267) /content/yolov9/PPE_Part2.mp4: 384x640 1 Safety Vest, 41.1ms\n",
      "video 1/1 (9/267) /content/yolov9/PPE_Part2.mp4: 384x640 1 Safety Vest, 40.8ms\n",
      "video 1/1 (10/267) /content/yolov9/PPE_Part2.mp4: 384x640 1 Safety Vest, 41.5ms\n",
      "video 1/1 (11/267) /content/yolov9/PPE_Part2.mp4: 384x640 4 Safety Vests, 41.0ms\n",
      "video 1/1 (12/267) /content/yolov9/PPE_Part2.mp4: 384x640 2 Safety Vests, 41.3ms\n",
      "video 1/1 (13/267) /content/yolov9/PPE_Part2.mp4: 384x640 2 Safety Vests, 41.0ms\n",
      "video 1/1 (14/267) /content/yolov9/PPE_Part2.mp4: 384x640 2 Safety Vests, 38.9ms\n",
      "video 1/1 (15/267) /content/yolov9/PPE_Part2.mp4: 384x640 2 Safety Vests, 42.7ms\n",
      "video 1/1 (16/267) /content/yolov9/PPE_Part2.mp4: 384x640 3 Safety Vests, 41.1ms\n",
      "video 1/1 (17/267) /content/yolov9/PPE_Part2.mp4: 384x640 4 Safety Vests, 40.9ms\n",
      "video 1/1 (18/267) /content/yolov9/PPE_Part2.mp4: 384x640 2 Safety Vests, 45.1ms\n",
      "video 1/1 (19/267) /content/yolov9/PPE_Part2.mp4: 384x640 2 Safety Vests, 47.0ms\n",
      "video 1/1 (20/267) /content/yolov9/PPE_Part2.mp4: 384x640 2 Safety Vests, 38.8ms\n",
      "video 1/1 (21/267) /content/yolov9/PPE_Part2.mp4: 384x640 2 Safety Vests, 43.1ms\n",
      "video 1/1 (22/267) /content/yolov9/PPE_Part2.mp4: 384x640 2 Safety Vests, 41.3ms\n",
      "video 1/1 (23/267) /content/yolov9/PPE_Part2.mp4: 384x640 2 Safety Vests, 41.4ms\n",
      "video 1/1 (24/267) /content/yolov9/PPE_Part2.mp4: 384x640 2 Safety Vests, 45.9ms\n",
      "video 1/1 (25/267) /content/yolov9/PPE_Part2.mp4: 384x640 1 Safety Vest, 41.5ms\n",
      "video 1/1 (26/267) /content/yolov9/PPE_Part2.mp4: 384x640 3 Safety Vests, 39.2ms\n",
      "video 1/1 (27/267) /content/yolov9/PPE_Part2.mp4: 384x640 3 Safety Vests, 43.1ms\n",
      "video 1/1 (28/267) /content/yolov9/PPE_Part2.mp4: 384x640 1 Protective Helmet, 3 Safety Vests, 41.2ms\n",
      "video 1/1 (29/267) /content/yolov9/PPE_Part2.mp4: 384x640 1 Protective Helmet, 4 Safety Vests, 41.3ms\n",
      "video 1/1 (30/267) /content/yolov9/PPE_Part2.mp4: 384x640 1 Protective Helmet, 4 Safety Vests, 42.6ms\n",
      "video 1/1 (31/267) /content/yolov9/PPE_Part2.mp4: 384x640 2 Protective Helmets, 5 Safety Vests, 40.7ms\n",
      "video 1/1 (32/267) /content/yolov9/PPE_Part2.mp4: 384x640 2 Protective Helmets, 6 Safety Vests, 40.9ms\n",
      "video 1/1 (33/267) /content/yolov9/PPE_Part2.mp4: 384x640 2 Protective Helmets, 6 Safety Vests, 41.2ms\n",
      "video 1/1 (34/267) /content/yolov9/PPE_Part2.mp4: 384x640 2 Protective Helmets, 6 Safety Vests, 52.7ms\n",
      "video 1/1 (35/267) /content/yolov9/PPE_Part2.mp4: 384x640 2 Protective Helmets, 6 Safety Vests, 56.8ms\n",
      "video 1/1 (36/267) /content/yolov9/PPE_Part2.mp4: 384x640 2 Protective Helmets, 6 Safety Vests, 40.5ms\n",
      "video 1/1 (37/267) /content/yolov9/PPE_Part2.mp4: 384x640 1 Protective Boots, 2 Protective Helmets, 5 Safety Vests, 40.4ms\n",
      "video 1/1 (38/267) /content/yolov9/PPE_Part2.mp4: 384x640 2 Protective Helmets, 5 Safety Vests, 40.2ms\n",
      "video 1/1 (39/267) /content/yolov9/PPE_Part2.mp4: 384x640 2 Protective Helmets, 5 Safety Vests, 41.2ms\n",
      "video 1/1 (40/267) /content/yolov9/PPE_Part2.mp4: 384x640 2 Protective Helmets, 3 Safety Vests, 41.5ms\n",
      "video 1/1 (41/267) /content/yolov9/PPE_Part2.mp4: 384x640 2 Protective Helmets, 3 Safety Vests, 42.3ms\n",
      "video 1/1 (42/267) /content/yolov9/PPE_Part2.mp4: 384x640 1 Protective Helmet, 2 Safety Vests, 40.9ms\n",
      "video 1/1 (43/267) /content/yolov9/PPE_Part2.mp4: 384x640 2 Safety Vests, 41.4ms\n",
      "video 1/1 (44/267) /content/yolov9/PPE_Part2.mp4: 384x640 (no detections), 38.7ms\n",
      "video 1/1 (45/267) /content/yolov9/PPE_Part2.mp4: 384x640 (no detections), 41.4ms\n",
      "video 1/1 (46/267) /content/yolov9/PPE_Part2.mp4: 384x640 (no detections), 41.4ms\n",
      "video 1/1 (47/267) /content/yolov9/PPE_Part2.mp4: 384x640 1 Protective Helmet, 1 Safety Vest, 42.7ms\n",
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      "video 1/1 (195/267) /content/yolov9/PPE_Part2.mp4: 384x640 6 Protective Bootss, 2 Protective Helmets, 7 Safety Vests, 41.4ms\n",
      "video 1/1 (196/267) /content/yolov9/PPE_Part2.mp4: 384x640 6 Protective Bootss, 2 Protective Helmets, 7 Safety Vests, 47.1ms\n",
      "video 1/1 (197/267) /content/yolov9/PPE_Part2.mp4: 384x640 6 Protective Bootss, 2 Protective Helmets, 7 Safety Vests, 40.7ms\n",
      "video 1/1 (198/267) /content/yolov9/PPE_Part2.mp4: 384x640 5 Protective Bootss, 3 Protective Helmets, 8 Safety Vests, 40.5ms\n",
      "video 1/1 (199/267) /content/yolov9/PPE_Part2.mp4: 384x640 5 Protective Bootss, 3 Protective Helmets, 8 Safety Vests, 41.7ms\n",
      "video 1/1 (200/267) /content/yolov9/PPE_Part2.mp4: 384x640 6 Protective Bootss, 2 Protective Helmets, 7 Safety Vests, 38.8ms\n",
      "video 1/1 (201/267) /content/yolov9/PPE_Part2.mp4: 384x640 6 Protective Bootss, 2 Protective Helmets, 7 Safety Vests, 41.2ms\n",
      "video 1/1 (202/267) /content/yolov9/PPE_Part2.mp4: 384x640 5 Protective Bootss, 3 Protective Helmets, 8 Safety Vests, 41.4ms\n",
      "video 1/1 (203/267) /content/yolov9/PPE_Part2.mp4: 384x640 5 Protective Bootss, 3 Protective Helmets, 8 Safety Vests, 41.7ms\n",
      "video 1/1 (204/267) /content/yolov9/PPE_Part2.mp4: 384x640 5 Protective Bootss, 3 Protective Helmets, 7 Safety Vests, 40.9ms\n",
      "video 1/1 (205/267) /content/yolov9/PPE_Part2.mp4: 384x640 5 Protective Bootss, 4 Protective Helmets, 8 Safety Vests, 41.0ms\n",
      "video 1/1 (206/267) /content/yolov9/PPE_Part2.mp4: 384x640 5 Protective Bootss, 3 Protective Helmets, 8 Safety Vests, 39.4ms\n",
      "video 1/1 (207/267) /content/yolov9/PPE_Part2.mp4: 384x640 4 Protective Bootss, 3 Protective Helmets, 8 Safety Vests, 44.1ms\n",
      "video 1/1 (208/267) /content/yolov9/PPE_Part2.mp4: 384x640 6 Protective Bootss, 3 Protective Helmets, 8 Safety Vests, 43.4ms\n",
      "video 1/1 (209/267) /content/yolov9/PPE_Part2.mp4: 384x640 5 Protective Bootss, 3 Protective Helmets, 8 Safety Vests, 41.5ms\n",
      "video 1/1 (210/267) /content/yolov9/PPE_Part2.mp4: 384x640 5 Protective Bootss, 3 Protective Helmets, 7 Safety Vests, 40.9ms\n",
      "video 1/1 (211/267) /content/yolov9/PPE_Part2.mp4: 384x640 4 Protective Bootss, 3 Protective Helmets, 7 Safety Vests, 42.5ms\n",
      "video 1/1 (212/267) /content/yolov9/PPE_Part2.mp4: 384x640 4 Protective Bootss, 3 Protective Helmets, 8 Safety Vests, 39.3ms\n",
      "video 1/1 (213/267) /content/yolov9/PPE_Part2.mp4: 384x640 4 Protective Bootss, 3 Protective Helmets, 8 Safety Vests, 40.5ms\n",
      "video 1/1 (214/267) /content/yolov9/PPE_Part2.mp4: 384x640 4 Protective Bootss, 3 Protective Helmets, 7 Safety Vests, 42.1ms\n",
      "video 1/1 (215/267) /content/yolov9/PPE_Part2.mp4: 384x640 3 Protective Bootss, 3 Protective Helmets, 7 Safety Vests, 44.6ms\n",
      "video 1/1 (216/267) /content/yolov9/PPE_Part2.mp4: 384x640 3 Protective Bootss, 3 Protective Helmets, 7 Safety Vests, 40.7ms\n",
      "video 1/1 (217/267) /content/yolov9/PPE_Part2.mp4: 384x640 3 Protective Bootss, 3 Protective Helmets, 7 Safety Vests, 42.0ms\n",
      "video 1/1 (218/267) /content/yolov9/PPE_Part2.mp4: 384x640 4 Protective Bootss, 3 Protective Helmets, 7 Safety Vests, 39.0ms\n",
      "video 1/1 (219/267) /content/yolov9/PPE_Part2.mp4: 384x640 4 Protective Bootss, 3 Protective Helmets, 7 Safety Vests, 41.7ms\n",
      "video 1/1 (220/267) /content/yolov9/PPE_Part2.mp4: 384x640 3 Protective Bootss, 3 Protective Helmets, 7 Safety Vests, 40.8ms\n",
      "video 1/1 (221/267) /content/yolov9/PPE_Part2.mp4: 384x640 2 Protective Bootss, 3 Protective Helmets, 7 Safety Vests, 40.3ms\n",
      "video 1/1 (222/267) /content/yolov9/PPE_Part2.mp4: 384x640 2 Protective Bootss, 3 Protective Helmets, 7 Safety Vests, 40.9ms\n",
      "video 1/1 (223/267) /content/yolov9/PPE_Part2.mp4: 384x640 4 Protective Bootss, 3 Protective Helmets, 7 Safety Vests, 40.8ms\n",
      "video 1/1 (224/267) /content/yolov9/PPE_Part2.mp4: 384x640 5 Protective Bootss, 3 Protective Helmets, 8 Safety Vests, 41.4ms\n",
      "video 1/1 (225/267) /content/yolov9/PPE_Part2.mp4: 384x640 5 Protective Bootss, 3 Protective Helmets, 8 Safety Vests, 40.8ms\n",
      "video 1/1 (226/267) /content/yolov9/PPE_Part2.mp4: 384x640 5 Protective Bootss, 3 Protective Helmets, 8 Safety Vests, 44.7ms\n",
      "video 1/1 (227/267) /content/yolov9/PPE_Part2.mp4: 384x640 4 Protective Bootss, 2 Protective Helmets, 8 Safety Vests, 40.0ms\n",
      "video 1/1 (228/267) /content/yolov9/PPE_Part2.mp4: 384x640 4 Protective Bootss, 2 Protective Helmets, 8 Safety Vests, 40.5ms\n",
      "video 1/1 (229/267) /content/yolov9/PPE_Part2.mp4: 384x640 5 Protective Bootss, 2 Protective Helmets, 8 Safety Vests, 40.4ms\n",
      "video 1/1 (230/267) /content/yolov9/PPE_Part2.mp4: 384x640 4 Protective Bootss, 2 Protective Helmets, 8 Safety Vests, 43.2ms\n",
      "video 1/1 (231/267) /content/yolov9/PPE_Part2.mp4: 384x640 4 Protective Bootss, 2 Protective Helmets, 8 Safety Vests, 40.6ms\n",
      "video 1/1 (232/267) /content/yolov9/PPE_Part2.mp4: 384x640 4 Protective Bootss, 3 Protective Helmets, 8 Safety Vests, 40.6ms\n",
      "video 1/1 (233/267) /content/yolov9/PPE_Part2.mp4: 384x640 5 Protective Bootss, 3 Protective Helmets, 8 Safety Vests, 43.8ms\n",
      "video 1/1 (234/267) /content/yolov9/PPE_Part2.mp4: 384x640 5 Protective Bootss, 3 Protective Helmets, 8 Safety Vests, 40.2ms\n",
      "video 1/1 (235/267) /content/yolov9/PPE_Part2.mp4: 384x640 5 Protective Bootss, 3 Protective Helmets, 8 Safety Vests, 40.6ms\n",
      "video 1/1 (236/267) /content/yolov9/PPE_Part2.mp4: 384x640 4 Protective Bootss, 3 Protective Helmets, 8 Safety Vests, 38.3ms\n",
      "video 1/1 (237/267) /content/yolov9/PPE_Part2.mp4: 384x640 4 Protective Bootss, 3 Protective Helmets, 8 Safety Vests, 42.5ms\n",
      "video 1/1 (238/267) /content/yolov9/PPE_Part2.mp4: 384x640 2 Protective Bootss, 2 Protective Helmets, 8 Safety Vests, 40.6ms\n",
      "video 1/1 (239/267) /content/yolov9/PPE_Part2.mp4: 384x640 2 Protective Bootss, 3 Protective Helmets, 8 Safety Vests, 41.3ms\n",
      "video 1/1 (240/267) /content/yolov9/PPE_Part2.mp4: 384x640 2 Protective Bootss, 3 Protective Helmets, 8 Safety Vests, 40.8ms\n",
      "video 1/1 (241/267) /content/yolov9/PPE_Part2.mp4: 384x640 5 Protective Bootss, 3 Protective Helmets, 7 Safety Vests, 41.6ms\n",
      "video 1/1 (242/267) /content/yolov9/PPE_Part2.mp4: 384x640 5 Protective Bootss, 3 Protective Helmets, 7 Safety Vests, 39.6ms\n",
      "video 1/1 (243/267) /content/yolov9/PPE_Part2.mp4: 384x640 5 Protective Bootss, 3 Protective Helmets, 7 Safety Vests, 40.9ms\n",
      "video 1/1 (244/267) /content/yolov9/PPE_Part2.mp4: 384x640 3 Protective Bootss, 3 Protective Helmets, 8 Safety Vests, 42.0ms\n",
      "video 1/1 (245/267) /content/yolov9/PPE_Part2.mp4: 384x640 3 Protective Bootss, 3 Protective Helmets, 8 Safety Vests, 40.8ms\n",
      "video 1/1 (246/267) /content/yolov9/PPE_Part2.mp4: 384x640 4 Protective Bootss, 3 Protective Helmets, 8 Safety Vests, 41.1ms\n",
      "video 1/1 (247/267) /content/yolov9/PPE_Part2.mp4: 384x640 4 Protective Bootss, 3 Protective Helmets, 7 Safety Vests, 42.0ms\n",
      "video 1/1 (248/267) /content/yolov9/PPE_Part2.mp4: 384x640 4 Protective Bootss, 3 Protective Helmets, 7 Safety Vests, 64.0ms\n",
      "video 1/1 (249/267) /content/yolov9/PPE_Part2.mp4: 384x640 4 Protective Bootss, 3 Protective Helmets, 8 Safety Vests, 49.4ms\n",
      "video 1/1 (250/267) /content/yolov9/PPE_Part2.mp4: 384x640 4 Protective Bootss, 2 Protective Helmets, 8 Safety Vests, 50.2ms\n",
      "video 1/1 (251/267) /content/yolov9/PPE_Part2.mp4: 384x640 4 Protective Bootss, 2 Protective Helmets, 8 Safety Vests, 54.0ms\n",
      "video 1/1 (252/267) /content/yolov9/PPE_Part2.mp4: 384x640 4 Protective Bootss, 2 Protective Helmets, 8 Safety Vests, 53.4ms\n",
      "video 1/1 (253/267) /content/yolov9/PPE_Part2.mp4: 384x640 3 Protective Bootss, 2 Protective Helmets, 8 Safety Vests, 49.5ms\n",
      "video 1/1 (254/267) /content/yolov9/PPE_Part2.mp4: 384x640 3 Protective Bootss, 3 Protective Helmets, 8 Safety Vests, 43.2ms\n",
      "video 1/1 (255/267) /content/yolov9/PPE_Part2.mp4: 384x640 3 Protective Bootss, 3 Protective Helmets, 8 Safety Vests, 41.7ms\n",
      "video 1/1 (256/267) /content/yolov9/PPE_Part2.mp4: 384x640 3 Protective Bootss, 3 Protective Helmets, 9 Safety Vests, 42.6ms\n",
      "video 1/1 (257/267) /content/yolov9/PPE_Part2.mp4: 384x640 3 Protective Bootss, 3 Protective Helmets, 8 Safety Vests, 45.5ms\n",
      "video 1/1 (258/267) /content/yolov9/PPE_Part2.mp4: 384x640 2 Protective Bootss, 3 Protective Helmets, 8 Safety Vests, 51.5ms\n",
      "video 1/1 (259/267) /content/yolov9/PPE_Part2.mp4: 384x640 2 Protective Bootss, 1 Protective Helmet, 8 Safety Vests, 49.0ms\n",
      "video 1/1 (260/267) /content/yolov9/PPE_Part2.mp4: 384x640 2 Protective Bootss, 2 Protective Helmets, 8 Safety Vests, 60.7ms\n",
      "video 1/1 (261/267) /content/yolov9/PPE_Part2.mp4: 384x640 2 Protective Bootss, 2 Protective Helmets, 8 Safety Vests, 55.7ms\n",
      "video 1/1 (262/267) /content/yolov9/PPE_Part2.mp4: 384x640 2 Protective Bootss, 2 Protective Helmets, 8 Safety Vests, 52.9ms\n",
      "video 1/1 (263/267) /content/yolov9/PPE_Part2.mp4: 384x640 4 Protective Bootss, 2 Protective Helmets, 8 Safety Vests, 56.8ms\n",
      "video 1/1 (264/267) /content/yolov9/PPE_Part2.mp4: 384x640 4 Protective Bootss, 2 Protective Helmets, 8 Safety Vests, 52.6ms\n",
      "video 1/1 (265/267) /content/yolov9/PPE_Part2.mp4: 384x640 4 Protective Bootss, 3 Protective Helmets, 7 Safety Vests, 61.0ms\n",
      "video 1/1 (266/267) /content/yolov9/PPE_Part2.mp4: 384x640 3 Protective Bootss, 3 Protective Helmets, 7 Safety Vests, 60.1ms\n",
      "video 1/1 (267/267) /content/yolov9/PPE_Part2.mp4: 384x640 3 Protective Bootss, 3 Protective Helmets, 7 Safety Vests, 59.8ms\n",
      "Speed: 0.6ms pre-process, 44.0ms inference, 3.4ms NMS per image at shape (1, 3, 640, 640)\n",
      "Results saved to \u001b[1mruns/detect/yolov9_ppe_640_detect2\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "# inference yolov9 models\n",
    "!python detect_dual.py --source 'PPE_Part2.mp4' --img 640 --device 0 --weights 'best.pt' --name yolov9_ppe_640_detect2\n"
   ]
  }
 ],
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   "provenance": []
  },
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   "language": "python",
   "name": "python3"
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