img_height, img_width = img.shape[0:2] left = int(np.min(points[:, 0])) right = int(np.max(points[:, 0])) top = int(n

按照 zyx 的顺序旋转，输入角度单位为 degrees, 均为顺时针旋转 :param x: X-axis :param y: Y-axis :param z: Z-axis :return:

Samples a fourier image with given size and frequencies decayed by decay power :param freqs: Bin values for the discrete fourier transform :

Sample a low frequency image from fourier space :param decay_power: Decay power for frequency decay prop 1/f**d :param shape: Shape of desir

Merge config into global config. Args: config (dict): Config to be merged. Returns: global config

Recursively override the config Args: config(dict): dict to be replaced options(list): list of pairs(key0.key1.idx.key2=value

Load a config file into AttrDict

_bitmap: single map with shape (1, H, W), whose values are binarized as {0, 1}

visualize configs Arguments: config: configs

Recursively visualize a dict and indenting acrrording by the relationship of keys.

Create a RandAugment transform :param config_str: String defining configuration of random augmentation. Consists of multiple sections separa

Rotate a point by an angle. Args: pt (list[float]): 2 dimensional point to be rotated angle_rad (float): rotation angle by radian

Sample a lambda from symmetric beta distribution with given alpha :param alpha: Alpha value for beta distribution :param reformulate: If Tru

data_file: image path and info, which can be splitted by spacer image_root: image path root delimiter: delimiter

Stops running threads and wait for them to exit, if necessary. Should be called by the same thread which called `start()`. A

Topological sort of DAG, creates inverted multi-layers views. Args: graph (dict): the DAG stucture in_degrees

transform

:param pnts: 2D pnts, left-top, right-top, right-bottom, left-bottom :param M33: output from transform_image() :return: 2D pn

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