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insightface/detection/retinaface/rcnn/dataset/ds_utils.py
2021-06-19 23:57:15 +08:00

17 lines
458 B
Python

import numpy as np
def unique_boxes(boxes, scale=1.0):
""" return indices of unique boxes """
v = np.array([1, 1e3, 1e6, 1e9])
hashes = np.round(boxes * scale).dot(v).astype(np.int)
_, index = np.unique(hashes, return_index=True)
return np.sort(index)
def filter_small_boxes(boxes, min_size):
w = boxes[:, 2] - boxes[:, 0]
h = boxes[:, 3] - boxes[:, 1]
keep = np.where((w >= min_size) & (h > min_size))[0]
return keep