Yolo11n 图片验证码识别

# README ```shell (.venv) neo@Neo-Mac-mini netkiller % labelme2yolo --json_dir captcha/images [2024-11-19T10:02:12Z INFO labelme2yolo] Starting the conversion process... [2024-11-19T10:02:12Z INFO labelme2yolo] Read and parsed 20 JSON files. [Train] [00:00:00] [########################################] 16/16 (0s) [Val] [00:00:00] [########################################] 4/4 (0s) [2024-11-19T10:02:12Z INFO labelme2yolo] Creating dataset.yaml file... [2024-11-19T10:02:12Z INFO labelme2yolo] Conversion process completed successfully. ``` ```shell labelme2yolo --json_dir captcha/images rm -rf datasets/YOLODataset mv captcha/images/YOLODataset datasets yolo task=detect mode=train model=yolo11n.pt data=captcha/images/YOLODataset/dataset.yaml epochs=50 workers=1 batch=10 yolo task=detect mode=train model=yolo11.yaml data=datasets/YOLODataset/dataset.yaml epochs=200 workers=0 batch=10 imgsz=320 yolo predict model=runs/detect/train/weights/best.pt source=captcha/test/0_5902.png imgsz=320 show=True ``` ```shell labelme2yolo --json_dir phone yolo task=detect mode=train model=yolo11n.pt data=phone/YOLODataset/dataset.yaml epochs=50 workers=1 batch=10 yolo predict model=runs/detect/train4/weights/best.pt source=phone/IMG_0931.PNG show=True labelme2yolo --json_dir phone yolo detect train data=phone/YOLODataset/dataset.yaml model=yolo11n.yaml epochs=100 imgsz=320 #yolo task=detect mode=train model=yolov8n.pt data=phone/YOLODataset/dataset.yaml epochs=100 yolo predict model=runs/detect/train3/weights/best.pt source=phone/IMG_0931.PNG show=True ``` ```shell python3 segment_json2txt.py --image-dir captcha/images --json-dir captcha/images --txt-dir captcha/labels --save-dir datasets/captcha ``` ```shell yolo task=segment mode=train model=yolo11n-seg.pt data=datasets/captcha/segment.yaml epochs=30 workers=1 batch=16 ```