eyeball-sam

What: Real-time object detection, person detection, and face recognition using YOLOv7 in TensorFlow Lite targeted for devices at the edge with Google Coral hardware.

Requirements:

Software

• 🖥️ Ubuntu 20.04
• 🐍️ Python 3.8
• 📦️ See requirements.txt, there are a lot.
• 📷️ It is recommend to build OpenCV from source for local testing (or just in general). use the requirements.txt version.

Hardware

• 🌊️ Google Coral. They have low-wattage USB and M.2 TPUs. A must for real-time video processing.

Usage:

1. Create a virtual environment and pip install -r requirements.txt.
2. Run the create_tf_lite.ipynb notebook to download use the model weights. This notebook will convert ONNX format to tf-lite.
3. Run tfl_yolov7_main.py.

Note: by default, openCV will use your wedcam (cv2.VideoCapture(0))

This project was updated on 01/29/2024