blob: 59d84afe94e42de3c456b73580ed83358a2b30d8 [file] [log] [blame]
# --------------------------------------------------------
# Faster R-CNN
# Copyright (c) 2015 Microsoft
# Licensed under The MIT License [see LICENSE for details]
# Written by Ross Girshick
# --------------------------------------------------------
import numpy as np
cimport numpy as np
assert sizeof(int) == sizeof(np.int32_t)
cdef extern from "gpu_nms.hpp":
void _nms(np.int32_t*, int*, np.float32_t*, int, int, float, int)
def gpu_nms(np.ndarray[np.float32_t, ndim=2] dets, np.float thresh,
np.int32_t device_id=0):
cdef int boxes_num = dets.shape[0]
cdef int boxes_dim = dets.shape[1]
cdef int num_out
cdef np.ndarray[np.int32_t, ndim=1] \
keep = np.zeros(boxes_num, dtype=np.int32)
cdef np.ndarray[np.float32_t, ndim=1] \
scores = dets[:, 4]
cdef np.ndarray[np.int_t, ndim=1] \
order = scores.argsort()[::-1]
cdef np.ndarray[np.float32_t, ndim=2] \
sorted_dets = dets[order, :]
_nms(&keep[0], &num_out, &sorted_dets[0, 0], boxes_num, boxes_dim, thresh, device_id)
keep = keep[:num_out]
return list(order[keep])