class_docstr: Args:
      input_shape (int): network input image size
      ori_shape (int): ori image shape of before padding
      scale_factor (float): scale factor of ori image
      enable_mkldnn (bool): whether to open MKLDNN
code: def __init__(
      self,
      layout_dict_path,
      strides=[8, 16, 32, 64],
      score_threshold=0.4,
      nms_threshold=0.5,
      nms_top_k=1000,
      keep_top_k=100,
  ):
      self.labels = self.load_layout_dict(layout_dict_path)
      self.strides = strides
      self.score_threshold = score_threshold
      self.nms_threshold = nms_threshold
      self.nms_top_k = nms_top_k
      self.keep_top_k = keep_top_k
  
file_path: PaddleOCR/ppocr/postprocess/picodet_postprocess.py
imports: import numpy
  from scipy.special import softmax
label_desc: Use image node_id 1 to create a new PicoDetPostProcess object from inherited base classes: object with example: obj = PicoDetPostProcess(layout_dict_path, strides, score_threshold, nms_threshold, nms_top_k, keep_top_k)