深度學習_目標檢測_NMS的Python代碼

import numpy as np

def py_cpu_nms(dets, thresh):
	x1 = dets[:, 0]
	y1 = dets[:, 1]
	x2 = dets[:, 2]
	y2 = dets[:, 3]
	scores = dets[:, 4]

	areas = (x2 - x1 + 1) * (y2 - y1 + 1)
	order = scores.argsort()[::-1]

	keep = []
	while order.size > 0:
		i = order[0]
		keep.append(i)
		xx1 = np.maximum(x1[i], x1[order[1:]])
		yy1 = np.maximum(y1[i], y1[order[1:]])
		xx2 = np.minimum(x2[i], x2[order[1:]])
		yy2 = np.minimum(y2[i], y2[order[1:]])

		w = np.maximum(0.0, xx2 - xx1 + 1)
		h = np.maximum(0.0, yy2 - yy1 + 1)
		inter = w * h
		ovr = inter / (areas[i] + areas[order[1:]] - inter)

		inds = np.where(ovr <= thresh)[0]
		order = order[inds + 1]
			
		return keep
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