rapidocr_paddle 配置文件config.yaml gpu_mem无法充分利用GPU资源

[LYUYork]

T4卡是16G的显卡，调整这个gpu_mem参数至更大，如4000，显存占用还是很低，不足2G。无法充分利用整卡资源。

config.yaml

Global:
    text_score: 0.5
    use_det: true
    use_cls: true
    use_rec: true
    print_verbose: false
    min_height: 30
    width_height_ratio: 8

    cpu_math_library_num_threads: 8
    #&infer_num_threads -1

Det:
    use_cuda: true
    gpu_id: 0
    gpu_mem: 500

    cpu_math_library_num_threads: 8
    #*infer_num_threads

    model_path: models/ch_PP-OCRv4_det_infer

    limit_side_len: 736
    limit_type: min

    thresh: 0.3
    box_thresh: 0.5
    max_candidates: 1000
    unclip_ratio: 1.6
    use_dilation: true
    score_mode: fast

Cls:
    use_cuda: true
    gpu_id: 0
    gpu_mem: 500

    cpu_math_library_num_threads: 8
    #*infer_num_threads

    model_path: models/ch_ppocr_mobile_v2_cls_infer

    cls_image_shape: [3, 48, 192]
    cls_batch_num: 6
    cls_thresh: 0.9
    label_list: ['0', '180']

Rec:
    use_cuda: true
    gpu_id: 0
    gpu_mem: 500

    cpu_math_library_num_threads: 8
    #*infer_num_threads

    model_path: models/ch_PP-OCRv4_rec_infer

    rec_img_shape: [3, 48, 320]
    rec_batch_num: 6