You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
hello Alexander,
I'd like to make my tracker stronger, trying some haarcascades on the fly. Anything like this :
cascades 1 to 3 are different cascades files;
if self.cascade_1:
faces = self.cascade_1.detectMultiScale(input_image, **self.haar_params)
# If that fails, check the profile template
if len(faces) == 0 and self.cascade_3:
faces = self.cascade_3.detectMultiScale(input_image, **self.haar_params)
# If that also fails, check a the other frontal template
if len(faces) == 0 and self.cascade_2:
faces = self.cascade_2.detectMultiScale(input_image, **self.haar_params)
Is it possible to do it with your lib ?
cv2gpu.init_gpu_detector(self.cascade_1)
The text was updated successfully, but these errors were encountered:
tried with different instances, doesn't work !
a = cv2gpu
a.init_gpu_detector(cascade_file_gpu_1)
b = cv2gpu
b.init_gpu_detector(cascade_file_gpu_2)
c = cv2gpu
c.init_gpu_detector(cascade_file_gpu_3)
hello Alexander,
I'd like to make my tracker stronger, trying some haarcascades on the fly. Anything like this :
cascades 1 to 3 are different cascades files;
Is it possible to do it with your lib ?
cv2gpu.init_gpu_detector(self.cascade_1)
The text was updated successfully, but these errors were encountered: