gengz / siamesefc-pytorch-vot Goto Github PK
View Code? Open in Web Editor NEWPyTorch implementation of 'Fully-convolutional Siamese networks for object tracking', slightly better results
License: Apache License 2.0
PyTorch implementation of 'Fully-convolutional Siamese networks for object tracking', slightly better results
License: Apache License 2.0
I am little confused in tracking part where you make pyramid scales of crops?
Is there necessity of calculating "beta = 255 / min_scale_side" and first crop that region to make pyramid of crops out of that cropped region
I would be glad if you explain it bit more detail
Thanks in advance
z = video_id_z[rand_z].copy() # use copy() here to avoid changing dictionary
x = video_id_z[rand_x].copy()
# read z and x,--------here the path of z actually is search image----,
#I think it should be
# l=len(z['instance_path'])
#img_z = cv2.imread(os.path.join(self.data_dir, (z['instance_path'])[:l-5]+'z.jpg'))
#img_z = self.__cvt_color(img_z)
img_z = cv2.imread(os.path.join(self.data_dir, z['instance_path']))
img_z = self.__cvt_color(img_z)
img_x = cv2.imread(os.path.join(self.data_dir, x['instance_path']))
img_x = self.__cvt_color(img_x)
I follow the same data preparation procedure and run the code, but only get 0.1801 EAO on VOT17. So i'm wondering is there any other issues that i should notice
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