Capturer based on YOLOv7

This is a project to Capturer using YOLOv7.

Video Presentation

Web Code Repository

• Integrated into Capturer 🤗 using yolov7. Try to use the latest version of Capturer！

Installation

Docker environment (recommended)

Expand

# create the docker container, you can change the share memory size if you have more.
nvidia-docker run --name capturer -it -v your_datasets_path/:/datasets/ -v your_code_path/:/capturer --shm-size=64g nvcr.io/nvidia/pytorch:21.08-py3

# apt install required packages
apt update
apt install -y zip htop screen libgl1-mesa-glx

# pip install environment required packages
pip install seaborn thop

# pip install cpaturer required packages
pip install -r requirements.txt

# go to code folder
cd /capturer

Model Parameter Download

• .pt parameter file download
• .onnx parameter file download link

Run

Deploy the ActionSet File Config.ini on 24-Way steering geer control board and boot it.

Deploy the File connect_arduino_jetsonnano.py on Adruino Uno and boot it.

Deploy the Code Folder on Jetson Nano and run the following command:

python detect.py

Defalut Settings

• weights: best.pt && best.onnx
• source: 0 (default camera)
• cfg: cfg/training/yovov7-snail.yaml
• data: data/snail.yaml
• img_size: 640