A + B = x => B(A(x))

set config of preprocess, postprocess and visualize Args: infer_config (str): path of infer_cfg.yml

normalize image Args: mean (list): im - mean std (list): im / std is_scale (bool): whether need im / 255 norm_type

padding image for model with FPN, instead PadBatch(pad_to_stride) in original config Args: stride (bool): model with FPN need image shape

permute image Args: to_bgr (bool): whether convert RGB to BGR channel_first (bool): whether convert HWC to CHW

resize image by target_size and max_size Args: target_size (int): the target size of image keep_ratio (bool): whether keep_ratio o

apply affine transform to image and coords Args: trainsize (list): [w, h], the standard size used to train use_udp (bool): whethe

Warp affine the image