def detect2(net, meta, image, thresh=.5, hier_thresh=.5, nms=.45):
boxes = dn.make_boxes(net)
probs = dn.make_probs(net)
num = dn.num_boxes(net)
dn.network_detect(net, image, thresh, hier_thresh, nms, boxes, probs)
res = []
for j in range(num):
for i in range(meta.classes):
if probs[j][i] > 0:
res.append((meta.names[i], probs[j][i], (boxes[j].x, boxes[j].y, boxes[j].w, boxes[j].h)))
res = sorted(res, key=lambda x: -x[1])
dn.free_ptrs(dn.cast(probs, dn.POINTER(dn.c_void_p)), num)
return res
def detect(self, img, thresh=0.1, hier_thresh=.5, nms=.45):
img = array2image(dn, img)
boxes = dn.make_boxes(self.net)
probs = dn.make_probs(self.net)
num = dn.num_boxes(self.net)
dn.network_detect(self.net, img, thresh, hier_thresh, nms, boxes,
probs)
res = []
for j in range(num):
if probs[j][0] > thresh:
res.append((probs[j][0], (boxes[j].x, boxes[j].y, boxes[j].w,
boxes[j].h)))
res = sorted(res, key=lambda x: -x[0])
dn.free_ptrs(dn.cast(probs, dn.POINTER(dn.c_void_p)), num)
return res
def detect(net, meta, image, thresh=.5, hier_thresh=.5, nms=.45):
"""
From darknet/python/darknet.py
"""
# im = dn.load_image(image, 0, 0)
im = dn.load_image(image, dn.network_width(net), dn.network_height(net))
boxes = dn.make_boxes(net)
probs = dn.make_probs(net)
num = dn.num_boxes(net)
dn.network_detect(net, im, thresh, hier_thresh, nms, boxes, probs)
res = []
for j in range(num):
for i in range(meta.classes):
if probs[j][i] > 0:
res.append((i, probs[j][i], (boxes[j].x, boxes[j].y,
boxes[j].w, boxes[j].h)))
res = sorted(res, key=lambda x: -x[1])
dn.free_image(im)
dn.free_ptrs(dn.cast(probs, dn.POINTER(dn.c_void_p)), num)
return res