We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
### rotation if np.random.rand() > 0.5: face_rotated_by_alpha, landmark_rotated = rotate(img, f_bbox, \ bbox.reprojectLandmark(landmarkGt), 5) landmark_rotated = bbox.projectLandmark(landmark_rotated) face_rotated_by_alpha = cv2.resize(face_rotated_by_alpha, (39, 39)) F_imgs.append(face_rotated_by_alpha.reshape((1, 39, 39))) F_landmarks.append(landmark_rotated.reshape(10)) ### flip with rotation face_flipped, landmark_flipped = flip(face_rotated_by_alpha, landmark_rotated) face_flipped = cv2.resize(face_flipped, (39, 39)) F_imgs.append(face_flipped.reshape((1, 39, 39))) F_landmarks.append(landmark_flipped.reshape(10)) ### rotation if np.random.rand() > 0.5: face_rotated_by_alpha, landmark_rotated = rotate(img, f_bbox, \ bbox.reprojectLandmark(landmarkGt), -5) landmark_rotated = bbox.projectLandmark(landmark_rotated) face_rotated_by_alpha = cv2.resize(face_rotated_by_alpha, (39, 39)) F_imgs.append(face_rotated_by_alpha.reshape((1, 39, 39))) F_landmarks.append(landmark_rotated.reshape(10)) ### flip with rotation face_flipped, landmark_flipped = flip(face_rotated_by_alpha, landmark_rotated) face_flipped = cv2.resize(face_flipped, (39, 39)) F_imgs.append(face_flipped.reshape((1, 39, 39))) F_landmarks.append(landmark_flipped.reshape(10))
The text was updated successfully, but these errors were encountered:
clockwise rotation and anticlockwise rotation, 0.5 is the possibility to do the rotation.
Sorry, something went wrong.
ok ,thanks, why level2/level3 don't use rotation and flip?
level-2 and level-3 use random shift around the ground truth. rotation and flip can also be applied.
thanks,because random shift ,train data result is different. the test effect has often wrong. of course sometime is goog.
No branches or pull requests
The text was updated successfully, but these errors were encountered: