i changed cpu_nms.pyx to cpu_nms.py, and it works

cpu_nms.py

import numpy as np

def mymax(a, b):
return a if a >= b else b

def mymin(a, b):
return a if a <= b else b

def 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]
ndets = dets.shape[0]
suppressed = np.zeros((ndets), dtype=np.int)
keep = []
for _i in range(ndets):
i = order[_i]
if suppressed[i] == 1:
continue
keep.append(i)
ix1 = x1[i]
iy1 = y1[i]
ix2 = x2[i]
iy2 = y2[i]
iarea = areas[i]
for _j in range(_i + 1, ndets):
j = order[_j]
if suppressed[j] == 1:
continue
xx1 = mymax(ix1, x1[j])
yy1 = mymax(iy1, y1[j])
xx2 = mymin(ix2, x2[j])
yy2 = mymin(iy2, y2[j])
w = mymax(0.0, xx2 - xx1 + 1)
h = mymax(0.0, yy2 - yy1 + 1)
inter = w * h
ovr = inter / (iarea + areas[j] - inter)
if ovr >= thresh:
suppressed[j] = 1
return keep

--------------------------------------------------------

Fast R-CNN

Copyright (c) 2015 Microsoft

Licensed under The MIT License [see LICENSE for details]

Written by Ross Girshick

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from scenereco.

thank you very much~

from scenereco.

thank you, it is ok

from scenereco.