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car-detection-bayes
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changed warpPerspective to warpAffine at line 380 (#328) 

since the transformation is affine and not perspective it is more efficient to use the warpAffine function
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NirZarrabi 2019-06-12 14:48:39 +03:00 committed by Glenn Jocher
parent e42865a304
commit 0f94dce1cb
1 changed files with 1 additions and 1 deletions
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utils/datasets.py
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@ -371,7 +371,7 @@ def random_affine(img, targets=(), degrees=(-10, 10), translate=(.1, .1), scale=
S[1, 0] = math.tan((random.random() * (shear[1] - shear[0]) + shear[0]) * math.pi / 180) # y shear (deg)
M = S @ T @ R # Combined rotation matrix. ORDER IS IMPORTANT HERE!!
imw = cv2.warpPerspective(img, M, dsize=(width, height), flags=cv2.INTER_LINEAR,
imw = cv2.warpAffine(img, M[:2], dsize=(width, height), flags=cv2.INTER_LINEAR,
borderValue=borderValue) # BGR order borderValue
# Return warped points also