基于yolov5的车牌检测

weights: yolov5s.pt cfg: G:\yolo\yolov5_plate\models\yolov5s.yaml data: data\plate.yaml hyp: lr0: 0.01 lrf: 0.01 momentum: 0.937 weight_decay: 0.0005 warmup_epochs: 3.0 warmup_momentum: 0.8 warmup_bias_lr: 0.1 box: 0.05 cls: 0.5 cls_pw: 1.0 obj: 1.0 obj_pw: 1.0 iou_t: 0.2 anchor_t: 4.0 fl_gamma: 0.0 hsv_h: 0.015 hsv_s: 0.7 hsv_v: 0.4 degrees: 0.0 translate: 0.1 scale: 0.5 shear: 0.0 perspective: 0.0 flipud: 0.0 fliplr: 0.5 mosaic: 1.0 mixup: 0.0 copy_paste: 0.0 epochs: 800 batch_size: 32 imgsz: 640 rect: false resume: false nosave: false noval: false noautoanchor: false noplots: false evolve: null bucket: '' cache: null image_weights: false device: '0' multi_scale: false single_cls: false optimizer: SGD sync_bn: false workers: 8 project: yolov5s_plate_runs\train name: exp exist_ok: false quad: false cos_lr: false label_smoothing: 0.0 patience: 100 freeze: - 0 save_period: -1 seed: 0 local_rank: -1 entity: null upload_dataset: false bbox_interval: -1 artifact_alias: latest save_dir: yolov5s_plate_runs\train\exp3