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- """Configurate arguments."""
- import argparse
-
- # 0: confidence, 1: point_shape, 2: offset_x, 3: offset_y, 4: cos(direction),
- # 5: sin(direction)
- NUM_FEATURE_MAP_CHANNEL = 6
-
- def add_common_arguments(parser):
- """Add common arguments for training and inference."""
- parser.add_argument('--detector_weights', default=r'E:\pycharmProject\DMPR-PS\weights\dp_detector_299.pth',
- help="The weights of pretrained detector.")
- parser.add_argument('--cfg', type=str, default='models/yolov5s.yaml',
- help='model.yaml path')
- parser.add_argument('--hyp', type=str, default='conf/hyp.scratch.yaml',
- help='hyperparameters path')
- parser.add_argument('--depth_factor', type=int, default=32,
- help="Depth factor.")
- parser.add_argument('--disable_cuda', action='store_true',
- help="Disable CUDA.")
- parser.add_argument('--gpu_id', type=int, default=0,
- help="Select which gpu to use.")
-
-
- def get_parser_for_inference():
- """Return argument parser for inference."""
- parser = argparse.ArgumentParser()
- parser.add_argument('--mode', default='image', choices=['image', 'video'],
- help="Inference image or video.")
- parser.add_argument('--video',
- help="Video path if you choose to inference video.")
- parser.add_argument('--inference_slot', action='store_true', default=False,
- help="Perform slot inference.")
- parser.add_argument('--thresh', type=float, default=0.3,
- help="Detection threshold.")
- parser.add_argument('--save', action='store_true', default=True,
- help="Save detection result to file.")
- parser.add_argument('--yoloimg-size', type=int, default=640,
- help='inference size (pixels)')
- parser.add_argument('--dmprimg-size', type=int, default=640,
- help='inference size (pixels)')
- parser.add_argument('--augment', action='store_true',
- help='augmented inference')
- parser.add_argument('--conf-thres', type=float, default=0.25,
- help='object confidence threshold')
- parser.add_argument('--iou-thres', type=float, default=0.45,
- help='IOU threshold for NMS')
- parser.add_argument('--scale-ratio', type=float, default=0.5,
- help='detected box scale ratio')
- parser.add_argument('--border', type=int, default=80,
- help='The valid border to boundary')
- parser.add_argument('--ovlap-thres', type=float, default=0.6, help='overlap threshold for OBS')
- parser.add_argument('--agnostic-nms', action='store_true',
- help='class-agnostic NMS')
- parser.add_argument('--classes', nargs='+', type=int,
- help='filter by class: --class 0, or --class 0 2 3')
- parser.add_argument('--dmpr-thresh', type=float, default=0.3,
- help="Detection threshold.")
- # STDC
- parser.add_argument('--n-classes', type=int, default=2, help='number of classes for segment')
- parser.add_argument('--backbone', type=str, default='STDCNet813', help='STDC backbone')
- parser.add_argument('--respth', type=str, default='weights/urbanManagement/STDC/model_final_1023.pth',
- help='The weights of STDC')
- parser.add_argument('--stdc-new-hw', nargs='+', type=int, default=[360, 640], help='The new hw of STDC')
- parser.add_argument('--use-boundary-2', type=bool, default=False, help='')
- parser.add_argument('--use-boundary-4', type=bool, default=False, help='')
- parser.add_argument('--use-boundary-8', type=bool, default=False, help='')
- parser.add_argument('--use-boundary-16', type=bool, default=False, help='')
- parser.add_argument('--use-conv-last', type=bool, default=False, help='')
-
- add_common_arguments(parser)
- return parser
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