Google Colab νμΌ λ° λ°νμ μ ν GPU μ€μ λ°©λ²μ ꡬκΈλ§μΌλ‘λ μΆ©λΆν ν μ μμ΄μ μλ΅-
!git clone https://github.com/ultralytics/yolov5
%cd yolov5
!pip install -r requirements.txt
2) labels : iabeling ν μμ± λ .txt file μ μ₯
3) data.yaml : train, val κ²½λ‘ μ§μ (images κ²½λ‘λ‘ μ€μ )
nc : class μλλ‘ μμ , names: class name μμ±
python train.py --data /content/yolov5/licence_plate/data.yaml --cfg /content/yolov5//models/yolov5l.yaml --weights yolov5l.pt --batch 8 --epochs 200 --name licence_plate![]
1) νμ΅ μμ
2) νμ΅ μλ£
!python detect.py --img 1280 --weights "/content/yolov5/runs/train/licence_plate3/weights/best.pt" --source "/content/yolov5/test.jpg"
νμ΅μ΄ μλ£ λλ©΄ test νμΌ μ λ‘λ ν νμΈ κ°λ₯