eq_robot_car_seal_detection

Pre-requisites

• Python
• A .env file. Created by copying the template and filling in the values.

Run

source venv/Scripts/activate # If using venv
pip install -r requirements.txt
cd src
python main.py --help

Custom vision

• Place the dataset to be uploaded into dataset folder. The images needs to be placed in a folder called images and the annotations in a folder called annotations.
• Update the test, train and validation files if desired.
• Install the repository using pip install -e .
• Run the upload_dataset.py file to upload the dataset to a custom vision project.

Darknet setup

• Follow the setup from https://github.com/AlexeyAB/darknet
• Use the files from src/cars_seal/darknet
• Test, train and validation is found in the dataset folder

Train

./darknet detector train data/car-seal.data cfg/yolo-car-seal.cfg yolov4.conv.137 -map

Test

./darknet detector test data/obj.data cfg/yolo-obj.cfg backup/yolo-obj_final.weights path_to_image