# To use the yolov7-pose-estimation

### Steps to run Code

- If you are using google colab then you will first need to mount the drive with mentioned command first, <b>(Windows or Linux users)</b> both can skip this step.

```

from google.colab import drive

drive.mount("/content/drive")

```

- Clone the repository.

```

git clone https://github.com/RizwanMunawar/yolov7-pose-estimation.git

```

- Goto the cloned folder.

```

cd yolov7-pose-estimation

```

- Create a virtual envirnoment (Recommended, If you dont want to disturb python packages)

```

### For Linux Users

python3 -m venv psestenv

source psestenv/bin/activate

### For Window Users

python3 -m venv psestenv

cd psestenv

cd Scripts

activate

cd ..

cd ..

```

- Upgrade pip with mentioned command below.

```

pip install --upgrade pip

```

- Install requirements with mentioned command below.

```

pip install -r requirements.txt

```

- Download yolov7 pose estimation weights from [link](https://github.com/WongKinYiu/yolov7/releases/download/v0.1/yolov7-w6-pose.pt) and move them to the working directory {yolov7-pose-estimation}

- To run yolov7 standalone

```

python pose-estimate.py

#if you want to change source file

python pose-estimate.py --source "your custom video.mp4"

#For CPU

python pose-estimate.py --source "your custom video.mp4" --device cpu

#For GPU

python pose-estimate.py --source "your custom video.mp4" --device 0

#For View-Image

python pose-estimate.py --source "your custom video.mp4" --device 0 --view-img

#For LiveStream (Ip Stream URL Format i.e "rtsp://username:pass@ipaddress:portno/video/video.amp")

python pose-estimate.py --source "your IP Camera Stream URL" --device 0 --view-img

#For WebCam

python pose-estimate.py --source 0 --view-img

#For External Camera

python pose-estimate.py --source 1 --view-img

```

- Output file will be created in the working directory with name <b>["your-file-name-without-extension"+"_keypoint.mp4"]</b>

#### RESULTS

<table>

  <tr>

    <td>Football Match Pose-Estimation</td>

     <td>Cricket Match Pose-Estimation</td>

     <td>FPS and Time Comparision</td>

     <td>Live Stream Pose-Estimation</td>

  </tr>

  <tr>

    <td><img src="https://user-images.githubusercontent.com/62513924/185089411-3f9ae391-ec23-4ca2-aba0-abf3c9991050.png" width=640 height=180></td>

    <td><img src="https://user-images.githubusercontent.com/62513924/185228806-4ba62e7a-12ef-4965-a44a-6b5ba9a3bf28.png" width=640 height=180></td>

    <td><img src="https://user-images.githubusercontent.com/62513924/185324844-20ce3d48-f5f5-4a17-8b62-9b51ab02a716.png" width=640 height=180></td>

    <td><img src="https://user-images.githubusercontent.com/62513924/185587159-6643529c-7840-48d6-ae1d-2d7c27d417ab.png" width=640 height =180></td>

  </tr>

 </table>

#### References

- https://github.com/WongKinYiu/yolov7

- https://github.com/augmentedstartups/yolov7

- https://github.com/augmentedstartups

- https://learnopencv.com/yolov7-object-detection-paper-explanation-and-inference/

- https://github.com/ultralytics/yolov5