Apply deltas to shift/scale base boxes. Typically the rois are anchor or proposed bounding boxes and the deltas are network outputs used to s

Apply deltas to shift/scale base boxes. Typically the rois are anchor or proposed bounding boxes and the deltas are network outputs used to s

Call the inferencer. Args: inputs (str | array | list): The image path or array, or a list of images.

L2 normalization layer. Args: n_dims (int): Number of dimensions to be normalized scale (float, optional): Defaults t

Bottleneck block for ResNeXt. If style is "pytorch", the stride-two layer is the 3x3 conv layer, if it is "caffe", the stride-two lay

CrossEntropyLoss. Args: use_sigmoid (bool, optional): Whether the prediction uses sigmoid of softmax. Defaults to

`Focal Loss <https://arxiv.org/abs/1708.02002>`_ Args: use_sigmoid (bool, optional): Whether to the prediction is

str: the string of the module

Print the basic information of the transform. Returns: str: Formatted string.