Pose_Detection.ipynb

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  "metadata": {
    "colab": {
      "provenance": [],
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    },
    "accelerator": "GPU",
    "gpuClass": "standard"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/NishatVasker/Machine_learning_projects/blob/main/Pose_Detection.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Youtube Video can be downloaded using below code.**bold text**"
      ],
      "metadata": {
        "id": "7Iz_3PSxNvqL"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install pytube\n",
        "import os, sys\n",
        "from pytube import YouTube\n",
        "youtube = YouTube(\"https://www.youtube.com/watch?v=plyyU1rRouQ\")     #paste the link over her.\n",
        "\n",
        "print(youtube.title)\n",
        "video = youtube.streams.get_highest_resolution()\n",
        "video.download()"
      ],
      "metadata": {
        "id": "fO0U-umPkZZ6",
        "outputId": "f51eea8e-cccf-4c6e-d326-97a0acdc1760",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 157
        }
      },
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Collecting pytube\n",
            "  Downloading pytube-12.1.0-py3-none-any.whl (56 kB)\n",
            "\u001b[K     |████████████████████████████████| 56 kB 3.2 MB/s \n",
            "\u001b[?25hInstalling collected packages: pytube\n",
            "Successfully installed pytube-12.1.0\n",
            "Highlights Table Tennis in Slow Motion HD\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'/content/Highlights Table Tennis in Slow Motion HD.mp4'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 1
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# YOLOv7 Pose **Detection**"
      ],
      "metadata": {
        "id": "TrdJB-vAN2lT"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!wget https://github.com/WongKinYiu/yolov7/archive/refs/heads/pose.zip\n"
      ],
      "metadata": {
        "id": "uRgzwT-nkJkX",
        "outputId": "913b047d-5aad-476d-a1d3-d14eb17dca93",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "--2022-12-03 20:36:43--  https://github.com/WongKinYiu/yolov7/archive/refs/heads/pose.zip\n",
            "Resolving github.com (github.com)... 20.205.243.166\n",
            "Connecting to github.com (github.com)|20.205.243.166|:443... connected.\n",
            "HTTP request sent, awaiting response... 302 Found\n",
            "Location: https://codeload.github.com/WongKinYiu/yolov7/zip/refs/heads/pose [following]\n",
            "--2022-12-03 20:36:44--  https://codeload.github.com/WongKinYiu/yolov7/zip/refs/heads/pose\n",
            "Resolving codeload.github.com (codeload.github.com)... 20.205.243.165\n",
            "Connecting to codeload.github.com (codeload.github.com)|20.205.243.165|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: unspecified [application/zip]\n",
            "Saving to: ‘pose.zip’\n",
            "\n",
            "pose.zip                [             <=>    ]  16.11M  5.98MB/s    in 2.7s    \n",
            "\n",
            "2022-12-03 20:36:47 (5.98 MB/s) - ‘pose.zip’ saved [16889561]\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!unzip pose.zip\n"
      ],
      "metadata": {
        "id": "3LEDKPSAkLZz",
        "outputId": "661bb6fb-13c0-4d7a-c2b6-7c76753567c8",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Archive:  pose.zip\n",
            "cad7acac832fcd4a9c2e09e773050a57761e22b9\n",
            "   creating: yolov7-pose/\n",
            "  inflating: yolov7-pose/LICENSE.md  \n",
            "  inflating: yolov7-pose/README.md   \n",
            "   creating: yolov7-pose/cfg/\n",
            "  inflating: yolov7-pose/cfg/yolov7-w6-pose.yaml  \n",
            "   creating: yolov7-pose/data/\n",
            "  inflating: yolov7-pose/data/coco_kpts.yaml  \n",
            "  inflating: yolov7-pose/data/coco_kpts_128.yaml  \n",
            "  inflating: yolov7-pose/data/hyp.pose.yaml  \n",
            "   creating: yolov7-pose/data/scripts/\n",
            "  inflating: yolov7-pose/data/scripts/get_coco.sh  \n",
            "  inflating: yolov7-pose/data/scripts/get_voc.sh  \n",
            "  inflating: yolov7-pose/detect.py   \n",
            "  inflating: yolov7-pose/hubconf.py  \n",
            "   creating: yolov7-pose/models/\n",
            " extracting: yolov7-pose/models/__init__.py  \n",
            "  inflating: yolov7-pose/models/common.py  \n",
            "  inflating: yolov7-pose/models/experimental.py  \n",
            "  inflating: yolov7-pose/models/export.py  \n",
            "   creating: yolov7-pose/models/hub/\n",
            "  inflating: yolov7-pose/models/hub/yolov3-spp.yaml  \n",
            "  inflating: yolov7-pose/models/hub/yolov3-tiny.yaml  \n",
            "  inflating: yolov7-pose/models/hub/yolov3.yaml  \n",
            "  inflating: yolov7-pose/models/yolo.py  \n",
            "   creating: yolov7-pose/onnx_inference/\n",
            "  inflating: yolov7-pose/onnx_inference/img.png  \n",
            " extracting: yolov7-pose/onnx_inference/sample_ips.txt  \n",
            "  inflating: yolov7-pose/onnx_inference/yolo_pose_onnx_inference.py  \n",
            "  inflating: yolov7-pose/requirements.txt  \n",
            "  inflating: yolov7-pose/test.py     \n",
            "  inflating: yolov7-pose/train.py    \n",
            "   creating: yolov7-pose/utils/\n",
            " extracting: yolov7-pose/utils/__init__.py  \n",
            "  inflating: yolov7-pose/utils/activations.py  \n",
            "  inflating: yolov7-pose/utils/autoanchor.py  \n",
            "   creating: yolov7-pose/utils/aws/\n",
            " extracting: yolov7-pose/utils/aws/__init__.py  \n",
            "  inflating: yolov7-pose/utils/aws/mime.sh  \n",
            "  inflating: yolov7-pose/utils/aws/resume.py  \n",
            "  inflating: yolov7-pose/utils/aws/userdata.sh  \n",
            "  inflating: yolov7-pose/utils/datasets.py  \n",
            "   creating: yolov7-pose/utils/figures/\n",
            "  inflating: yolov7-pose/utils/figures/000000390555_AE.jpg  \n",
            "  inflating: yolov7-pose/utils/figures/000000390555_YP.jpg  \n",
            "  inflating: yolov7-pose/utils/figures/AP50_GMACS_val.png  \n",
            "  inflating: yolov7-pose/utils/figures/AdobeStock.gif  \n",
            "   creating: yolov7-pose/utils/flask_rest_api/\n",
            "  inflating: yolov7-pose/utils/flask_rest_api/README.md  \n",
            "  inflating: yolov7-pose/utils/flask_rest_api/example_request.py  \n",
            "  inflating: yolov7-pose/utils/flask_rest_api/restapi.py  \n",
            "  inflating: yolov7-pose/utils/general.py  \n",
            "   creating: yolov7-pose/utils/google_app_engine/\n",
            "  inflating: yolov7-pose/utils/google_app_engine/Dockerfile  \n",
            "  inflating: yolov7-pose/utils/google_app_engine/additional_requirements.txt  \n",
            "  inflating: yolov7-pose/utils/google_app_engine/app.yaml  \n",
            "  inflating: yolov7-pose/utils/google_utils.py  \n",
            "  inflating: yolov7-pose/utils/loss.py  \n",
            "  inflating: yolov7-pose/utils/metrics.py  \n",
            "  inflating: yolov7-pose/utils/plots.py  \n",
            "  inflating: yolov7-pose/utils/torch_utils.py  \n",
            "   creating: yolov7-pose/utils/wandb_logging/\n",
            " extracting: yolov7-pose/utils/wandb_logging/__init__.py  \n",
            "  inflating: yolov7-pose/utils/wandb_logging/log_dataset.py  \n",
            "  inflating: yolov7-pose/utils/wandb_logging/wandb_utils.py  \n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "cd /content/yolov7-pose\n"
      ],
      "metadata": {
        "id": "HTtuXEjUkQZc",
        "outputId": "9fdf3b6c-a258-473e-d72a-7d4b213a2819",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/content/yolov7-pose\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!wget https://github.com/WongKinYiu/yolov7/releases/download/v0.1/yolov7-w6-pose.pt"
      ],
      "metadata": {
        "id": "mKHIj3eLmHK6",
        "outputId": "41de3c0b-ff18-4a9f-9224-614d515c2229",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "--2022-12-03 20:36:47--  https://github.com/WongKinYiu/yolov7/releases/download/v0.1/yolov7-w6-pose.pt\n",
            "Resolving github.com (github.com)... 20.205.243.166\n",
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            "Resolving objects.githubusercontent.com (objects.githubusercontent.com)... 185.199.108.133, 185.199.109.133, 185.199.110.133, ...\n",
            "Connecting to objects.githubusercontent.com (objects.githubusercontent.com)|185.199.108.133|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 161114789 (154M) [application/octet-stream]\n",
            "Saving to: ‘yolov7-w6-pose.pt’\n",
            "\n",
            "yolov7-w6-pose.pt   100%[===================>] 153.65M  9.16MB/s    in 16s     \n",
            "\n",
            "2022-12-03 20:37:04 (9.36 MB/s) - ‘yolov7-w6-pose.pt’ saved [161114789/161114789]\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install -r requirements.txt "
      ],
      "metadata": {
        "id": "JpeEqwudl7VC",
        "outputId": "014918fc-f114-4378-cf09-295bb185be82",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Requirement already satisfied: matplotlib>=3.2.2 in /usr/local/lib/python3.8/dist-packages (from -r requirements.txt (line 4)) (3.2.2)\n",
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            "Requirement already satisfied: Pillow in /usr/local/lib/python3.8/dist-packages (from -r requirements.txt (line 7)) (7.1.2)\n",
            "Requirement already satisfied: PyYAML>=5.3.1 in /usr/local/lib/python3.8/dist-packages (from -r requirements.txt (line 8)) (6.0)\n",
            "Requirement already satisfied: scipy>=1.4.1 in /usr/local/lib/python3.8/dist-packages (from -r requirements.txt (line 9)) (1.7.3)\n",
            "Requirement already satisfied: torch>=1.7.0 in /usr/local/lib/python3.8/dist-packages (from -r requirements.txt (line 10)) (1.12.1+cu113)\n",
            "Requirement already satisfied: torchvision>=0.8.1 in /usr/local/lib/python3.8/dist-packages (from -r requirements.txt (line 11)) (0.13.1+cu113)\n",
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            "Requirement already satisfied: seaborn>=0.11.0 in /usr/local/lib/python3.8/dist-packages (from -r requirements.txt (line 19)) (0.11.2)\n",
            "Requirement already satisfied: pandas in /usr/local/lib/python3.8/dist-packages (from -r requirements.txt (line 20)) (1.3.5)\n",
            "Collecting onnxruntime==1.10.0\n",
            "  Downloading onnxruntime-1.10.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.9 MB)\n",
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            "\u001b[?25hCollecting thop\n",
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            "Requirement already satisfied: pycocotools>=2.0 in /usr/local/lib/python3.8/dist-packages (from -r requirements.txt (line 30)) (2.0.6)\n",
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            "Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.8/dist-packages (from requests->torchvision>=0.8.1->-r requirements.txt (line 11)) (3.0.4)\n",
            "Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.8/dist-packages (from requests->torchvision>=0.8.1->-r requirements.txt (line 11)) (2.10)\n",
            "Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.8/dist-packages (from requests->torchvision>=0.8.1->-r requirements.txt (line 11)) (1.24.3)\n",
            "Requirement already satisfied: oauthlib>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from requests-oauthlib>=0.7.0->google-auth-oauthlib<0.5,>=0.4.1->tensorboard>=2.4.1->-r requirements.txt (line 15)) (3.2.2)\n",
            "Installing collected packages: thop, onnxruntime\n",
            "Successfully installed onnxruntime-1.10.0 thop-0.1.1.post2209072238\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# In the below code line pose estimation will be performed on the video."
      ],
      "metadata": {
        "id": "AgbWS_Q1OFEB"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!python detect.py --weights \"/content/yolov7-pose/yolov7-w6-pose.pt\" --kpt-label --hide-labels --hide-conf --source \"/content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4\" \n",
        "## paste the video path here in the inverted commas after source as an example is given for you."
      ],
      "metadata": {
        "id": "qXZ21zzEl9bv",
        "outputId": "affd9b26-52da-4702-b9dc-ee4af203c773",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Namespace(agnostic_nms=False, augment=False, classes=None, conf_thres=0.25, device='', exist_ok=False, hide_conf=True, hide_labels=True, img_size=640, iou_thres=0.45, kpt_label=True, line_thickness=3, name='exp', nosave=False, project='runs/detect', save_bin=False, save_conf=False, save_crop=False, save_txt=False, save_txt_tidl=False, source='/content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4', update=False, view_img=False, weights=['/content/yolov7-pose/yolov7-w6-pose.pt'])\n",
            "YOLOv5 � 2022-8-12 torch 1.12.1+cu113 CUDA:0 (Tesla T4, 15109.75MB)\n",
            "\n",
            "Fusing layers... \n",
            "/usr/local/lib/python3.8/dist-packages/torch/functional.py:478: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at  ../aten/src/ATen/native/TensorShape.cpp:2894.)\n",
            "  return _VF.meshgrid(tensors, **kwargs)  # type: ignore[attr-defined]\n",
            "Model Summary: 494 layers, 80178356 parameters, 441076 gradients, 101.6 GFLOPS\n",
            "video 1/1 (1/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.00534, device='cuda:0')\n",
            "640x640 Done. (0.037s)\n",
            "video 1/1 (2/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.02347, device='cuda:0')\n",
            "640x640 Done. (0.050s)\n",
            "video 1/1 (3/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.04501, device='cuda:0')\n",
            "640x640 Done. (0.051s)\n",
            "video 1/1 (4/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.00923, device='cuda:0')\n",
            "640x640 Done. (0.046s)\n",
            "video 1/1 (5/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.00279, device='cuda:0')\n",
            "640x640 Done. (0.052s)\n",
            "video 1/1 (6/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.00584, device='cuda:0')\n",
            "640x640 Done. (0.046s)\n",
            "video 1/1 (7/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.00982, device='cuda:0')\n",
            "640x640 Done. (0.069s)\n",
            "video 1/1 (8/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.00196, device='cuda:0')\n",
            "640x640 Done. (0.044s)\n",
            "video 1/1 (9/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.00093, device='cuda:0')\n",
            "640x640 Done. (0.044s)\n",
            "video 1/1 (10/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.00023, device='cuda:0')\n",
            "640x640 Done. (0.044s)\n",
            "video 1/1 (11/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.00024, device='cuda:0')\n",
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            "video 1/1 (12/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.00026, device='cuda:0')\n",
            "640x640 Done. (0.052s)\n",
            "video 1/1 (13/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.00026, device='cuda:0')\n",
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            "video 1/1 (14/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.00022, device='cuda:0')\n",
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            "video 1/1 (94/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.01343, device='cuda:0')\n",
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            "video 1/1 (95/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.06052, device='cuda:0')\n",
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            "video 1/1 (96/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.12756, device='cuda:0')\n",
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            "video 1/1 (97/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.13562, device='cuda:0')\n",
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            "video 1/1 (98/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.09467, device='cuda:0')\n",
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            "video 1/1 (99/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.07520, device='cuda:0')\n",
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            "video 1/1 (100/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.03241, device='cuda:0')\n",
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            "video 1/1 (101/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.02457, device='cuda:0')\n",
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            "video 1/1 (102/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.01628, device='cuda:0')\n",
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            "video 1/1 (103/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.08948, device='cuda:0')\n",
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            "video 1/1 (104/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.01374, device='cuda:0')\n",
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            "video 1/1 (105/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.07385, device='cuda:0')\n",
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            "video 1/1 (106/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.05954, device='cuda:0')\n",
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            "video 1/1 (107/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.09930, device='cuda:0')\n",
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            "video 1/1 (108/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.01009, device='cuda:0')\n",
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            "video 1/1 (109/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.00452, device='cuda:0')\n",
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            "video 1/1 (110/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.01169, device='cuda:0')\n",
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            "video 1/1 (111/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.00624, device='cuda:0')\n",
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            "video 1/1 (112/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.00451, device='cuda:0')\n",
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            "video 1/1 (113/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.00514, device='cuda:0')\n",
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            "video 1/1 (114/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.00368, device='cuda:0')\n",
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            "video 1/1 (115/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.00420, device='cuda:0')\n",
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            "video 1/1 (116/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.00443, device='cuda:0')\n",
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            "video 1/1 (117/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.00468, device='cuda:0')\n",
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            "video 1/1 (118/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.00510, device='cuda:0')\n",
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            "video 1/1 (119/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.00626, device='cuda:0')\n",
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            "video 1/1 (120/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.01312, device='cuda:0')\n",
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            "video 1/1 (121/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.02170, device='cuda:0')\n",
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            "video 1/1 (122/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.00934, device='cuda:0')\n",
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            "video 1/1 (123/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.03265, device='cuda:0')\n",
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            "video 1/1 (124/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.07043, device='cuda:0')\n",
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            "video 1/1 (125/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.16003, device='cuda:0')\n",
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            "video 1/1 (126/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.03897, device='cuda:0')\n",
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            "video 1/1 (127/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.00787, device='cuda:0')\n",
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            "video 1/1 (128/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.00960, device='cuda:0')\n",
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            "video 1/1 (129/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.00826, device='cuda:0')\n",
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            "video 1/1 (130/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.02567, device='cuda:0')\n",
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            "video 1/1 (131/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.02254, device='cuda:0')\n",
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            "video 1/1 (132/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.05750, device='cuda:0')\n",
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            "video 1/1 (133/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.05411, device='cuda:0')\n",
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            "video 1/1 (134/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.09137, device='cuda:0')\n",
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            "video 1/1 (135/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.09570, device='cuda:0')\n",
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            "video 1/1 (136/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.11261, device='cuda:0')\n",
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            "video 1/1 (137/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.12024, device='cuda:0')\n",
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            "video 1/1 (138/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.07007, device='cuda:0')\n",
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            "video 1/1 (139/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.07520, device='cuda:0')\n",
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            "video 1/1 (140/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.06464, device='cuda:0')\n",
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            "video 1/1 (141/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.11816, device='cuda:0')\n",
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            "video 1/1 (142/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.17981, device='cuda:0')\n",
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            "video 1/1 (143/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.13940, device='cuda:0')\n",
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            "video 1/1 (144/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.15991, device='cuda:0')\n",
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            "video 1/1 (145/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.14124, device='cuda:0')\n",
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            "video 1/1 (146/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.19995, device='cuda:0')\n",
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            "video 1/1 (154/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.31592, device='cuda:0')\n",
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            "video 1/1 (155/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.31079, device='cuda:0')\n",
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            "video 1/1 (156/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.22827, device='cuda:0')\n",
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            "video 1/1 (157/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.17810, device='cuda:0')\n",
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            "video 1/1 (158/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.19177, device='cuda:0')\n",
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            "video 1/1 (159/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.19666, device='cuda:0')\n",
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            "video 1/1 (160/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.21680, device='cuda:0')\n",
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            "video 1/1 (161/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.19812, device='cuda:0')\n",
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            "video 1/1 (162/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.17639, device='cuda:0')\n",
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            "video 1/1 (163/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.11377, device='cuda:0')\n",
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            "video 1/1 (164/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.09235, device='cuda:0')\n",
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            "video 1/1 (165/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.07068, device='cuda:0')\n",
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            "video 1/1 (166/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.08374, device='cuda:0')\n",
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            "video 1/1 (167/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.07227, device='cuda:0')\n",
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            "video 1/1 (168/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.11420, device='cuda:0')\n",
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            "video 1/1 (169/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.08282, device='cuda:0')\n",
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            "video 1/1 (170/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.19360, device='cuda:0')\n",
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            "video 1/1 (171/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.18994, device='cuda:0')\n",
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            "video 1/1 (172/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.25122, device='cuda:0')\n",
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            "video 1/1 (173/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.18225, device='cuda:0')\n",
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            "video 1/1 (174/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.16357, device='cuda:0')\n",
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            "video 1/1 (175/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.05750, device='cuda:0')\n",
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            "video 1/1 (176/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.03073, device='cuda:0')\n",
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            "video 1/1 (177/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.03561, device='cuda:0')\n",
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            "video 1/1 (178/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.08154, device='cuda:0')\n",
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            "video 1/1 (181/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.08832, device='cuda:0')\n",
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            "video 1/1 (182/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.06982, device='cuda:0')\n",
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            "video 1/1 (183/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.07172, device='cuda:0')\n",
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            "video 1/1 (184/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.02272, device='cuda:0')\n",
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            "video 1/1 (187/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.00672, device='cuda:0')\n",
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            "video 1/1 (188/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.00945, device='cuda:0')\n",
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            "video 1/1 (189/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.00986, device='cuda:0')\n",
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            "video 1/1 (190/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.00721, device='cuda:0')\n",
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            "video 1/1 (191/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.00569, device='cuda:0')\n",
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            "video 1/1 (192/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.00874, device='cuda:0')\n",
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            "video 1/1 (195/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.01099, device='cuda:0')\n",
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            "video 1/1 (196/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.00743, device='cuda:0')\n",
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            "video 1/1 (197/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.01530, device='cuda:0')\n",
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            "video 1/1 (198/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.01099, device='cuda:0')\n",
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            "video 1/1 (412/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.02229, device='cuda:0')\n",
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            "video 1/1 (413/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.02921, device='cuda:0')\n",
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            "video 1/1 (414/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.03949, device='cuda:0')\n",
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            "video 1/1 (415/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.02409, device='cuda:0')\n",
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            "video 1/1 (416/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.02748, device='cuda:0')\n",
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            "video 1/1 (417/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.01053, device='cuda:0')\n",
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            "video 1/1 (418/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.01685, device='cuda:0')\n",
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            "video 1/1 (419/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.01711, device='cuda:0')\n",
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            "video 1/1 (420/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.01848, device='cuda:0')\n",
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            "video 1/1 (421/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.01590, device='cuda:0')\n",
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            "video 1/1 (422/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.15894, device='cuda:0')\n",
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            "video 1/1 (423/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.13354, device='cuda:0')\n",
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            "video 1/1 (424/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.40796, device='cuda:0')\n",
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            "video 1/1 (425/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.57959, device='cuda:0')\n",
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            "video 1/1 (426/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.33691, device='cuda:0')\n",
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            "video 1/1 (427/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.55518, device='cuda:0')\n",
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            "video 1/1 (428/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.34131, device='cuda:0')\n",
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            "video 1/1 (429/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.23035, device='cuda:0')\n",
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            "video 1/1 (430/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.42749, device='cuda:0')\n",
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            "video 1/1 (431/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.21008, device='cuda:0')\n",
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            "video 1/1 (432/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.33496, device='cuda:0')\n",
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            "video 1/1 (433/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.16052, device='cuda:0')\n",
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            "video 1/1 (434/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.25562, device='cuda:0')\n",
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            "video 1/1 (435/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.48633, device='cuda:0')\n",
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            "video 1/1 (436/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.14453, device='cuda:0')\n",
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            "video 1/1 (437/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.17529, device='cuda:0')\n",
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            "video 1/1 (438/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.05081, device='cuda:0')\n",
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            "video 1/1 (439/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.08820, device='cuda:0')\n",
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            "video 1/1 (440/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.05975, device='cuda:0')\n",
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            "video 1/1 (441/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.14502, device='cuda:0')\n",
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            "video 1/1 (442/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.09772, device='cuda:0')\n",
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            "video 1/1 (443/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.01302, device='cuda:0')\n",
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            "video 1/1 (444/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.00851, device='cuda:0')\n",
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            "video 1/1 (445/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.00986, device='cuda:0')\n",
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            "video 1/1 (446/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.00530, device='cuda:0')\n",
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            "video 1/1 (447/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.00721, device='cuda:0')\n",
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            "video 1/1 (448/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.01086, device='cuda:0')\n",
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            "video 1/1 (449/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.00644, device='cuda:0')\n",
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            "video 1/1 (450/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.00564, device='cuda:0')\n",
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            "video 1/1 (451/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.00382, device='cuda:0')\n",
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            "video 1/1 (452/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.00477, device='cuda:0')\n",
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            "video 1/1 (453/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.03354, device='cuda:0')\n",
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            "video 1/1 (454/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.25293, device='cuda:0')\n",
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            "video 1/1 (457/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.00187, device='cuda:0')\n",
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            "video 1/1 (481/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.00031, device='cuda:0')\n",
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            "video 1/1 (482/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.00084, device='cuda:0')\n",
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            "video 1/1 (483/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.00062, device='cuda:0')\n",
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            "video 1/1 (510/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.00240, device='cuda:0')\n",
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            "video 1/1 (677/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.00036, device='cuda:0')\n",
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            "video 1/1 (678/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.00046, device='cuda:0')\n",
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            "video 1/1 (679/679) /content/yolov7-pose/runs/pexels-pavel-danilyuk-8087076.mp4: tensor(0.00042, device='cuda:0')\n",
            "640x640 Done. (0.037s)\n",
            "Results saved to runs/detect/exp5\n",
            "Done. (95.097s)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "5JtnTHpjOWTh"
      },
      "execution_count": 7,
      "outputs": []
    }
  ]
}