YOLOv8 Pose Estimation 🐔📦

A guide on how to setup and run pose estimation using YOLOv8 in the Chickenvision project.

Setup 🛠️

Step 1: Download the Data Files

In the provided release, there are three .pt files available for download. Click on each file to initiate the download process to your local machine.

Step 2: Locate the Downloaded Files

Once the download completes, locate the .pt files in your system's default download directory (usually the "Downloads" folder).

Step 3: Move the Files to the YOLOv8 Directory

Navigate to the Yolov8 directory in your project. This is the designated folder for YOLOv8-related files. Transfer the downloaded .pt files from their current location to this Yolov8 folder.

Run Pose Estimation 🏃‍♀️

Step 1: Open Anaconda Terminal

Open an Anaconda terminal. Navigate to the chickenvision-server/Yolov8 directory. Please note that Anaconda terminal is not the same as the PowerShell terminal.

cd .../chickenvision-server/Yolov8

Step 2: Create a new Conda Environment

Create a new Conda environment using Python 3.9:

conda create -n yolov8 python=3.9

Step 3: Activate the Conda Environment

Activate the newly created Conda environment:

conda activate yolov8

Step 4: Install Required Python Packages

Install the necessary Python packages specified in the requirements.txt file:

pip install -r requirements.txt

Usage 🚀

Run Pose Estimation on a Video

To run pose estimation on a video, follow these steps:

1. Modify the Yolov8/tempKeypoint.py file to change the input .mp4 file for processing.
2. Execute the keypoint detection and extraction script:

python tempKeypoint.py

License 📚

This project uses licenses from other repositories. Please ensure to adhere to the licensing requirements of the original repositories and provide appropriate credits.