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+++ b/landmark_extraction/README.md
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+# 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