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, (Windows or Linux users) 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 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 ["your-file-name-without-extension"+"_keypoint.mp4"]

RESULTS

Football Match Pose-Estimation	Cricket Match Pose-Estimation	FPS and Time Comparision	Live Stream Pose-Estimation

99 lines (77 with data), 3.0 kB

To use the yolov7-pose-estimation

Steps to run Code

RESULTS

References