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detect_one.py
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detect_one.py
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import caffe
import cv2
from utils import *
import argparse
def parse_args():
parser = argparse.ArgumentParser('YOLOv3')
parser.add_argument('--prototxt', type=str, default='model/yolov3.prototxt')
parser.add_argument('--caffemodel', type=str, default='model/yolov3.caffemodel')
parser.add_argument('--classfile', type=str, default='model/coco.names')
parser.add_argument('--image', type=str, default='images/dog-cycle-car.png')
parser.add_argument('--resolution', type=int, default=416)
return parser.parse_args()
def main():
args = parse_args()
model = caffe.Net(args.prototxt, args.caffemodel, caffe.TEST)
img_ori = cv2.imread(args.image)
inp_dim = args.resolution, args.resolution
img = img_prepare(img_ori, inp_dim)
#cv2.imshow("?", img.transpose([1,2,0]))
#cv2.waitKey()
model.blobs['data'].data[:] = img
output = model.forward()
rects = rects_prepare(output)
mapping = get_classname_mapping(args.classfile)
scaling_factor = min(1, args.resolution / img_ori.shape[1])
for pt1, pt2, cls, prob in rects:
pt1[0] -= (args.resolution - scaling_factor*img_ori.shape[1])/2
pt2[0] -= (args.resolution - scaling_factor*img_ori.shape[1])/2
pt1[1] -= (args.resolution - scaling_factor*img_ori.shape[0])/2
pt2[1] -= (args.resolution - scaling_factor*img_ori.shape[0])/2
pt1[0] = np.clip(int(pt1[0] / scaling_factor), a_min=0, a_max=img_ori.shape[1])
pt2[0] = np.clip(int(pt2[0] / scaling_factor), a_min=0, a_max=img_ori.shape[1])
pt1[1] = np.clip(int(pt1[1] / scaling_factor), a_min=0, a_max=img_ori.shape[1])
pt2[1] = np.clip(int(pt2[1] / scaling_factor), a_min=0, a_max=img_ori.shape[1])
label = "{}:{:.2f}".format(mapping[cls], prob)
color = tuple(map(int, np.uint8(np.random.uniform(0, 255, 3))))
cv2.rectangle(img_ori, tuple(pt1), tuple(pt2), color, 1)
t_size = cv2.getTextSize(label, cv2.FONT_HERSHEY_PLAIN, 1 , 1)[0]
pt2 = pt1[0] + t_size[0] + 3, pt1[1] + t_size[1] + 4
cv2.rectangle(img_ori, tuple(pt1), tuple(pt2), color, -1)
cv2.putText(img_ori, label, (pt1[0], t_size[1] + 4 + pt1[1]), cv2.FONT_HERSHEY_PLAIN,
cv2.FONT_HERSHEY_PLAIN, 1, 1, 2)
cv2.imshow(args.image, img_ori)
cv2.waitKey()
if __name__ == '__main__':
main()