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Faster HSV augmentation (#3462)

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remove datatype conversion process that can be skipped
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Yonghye Kwon 2021-06-05 03:02:20 +09:00 committed by GitHub
parent d40481acc5
commit c37f072ba7
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1 changed files with 2 additions and 2 deletions
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utils/datasets.py
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@ -655,12 +655,12 @@ def augment_hsv(img, hgain=0.5, sgain=0.5, vgain=0.5):
hue, sat, val = cv2.split(cv2.cvtColor(img, cv2.COLOR_BGR2HSV)) hue, sat, val = cv2.split(cv2.cvtColor(img, cv2.COLOR_BGR2HSV))
dtype = img.dtype # uint8 dtype = img.dtype # uint8
x = np.arange(0, 256, dtype=np.int16) x = np.arange(0, 256, dtype=r.dtype)
lut_hue = ((x * r[0]) % 180).astype(dtype) lut_hue = ((x * r[0]) % 180).astype(dtype)
lut_sat = np.clip(x * r[1], 0, 255).astype(dtype) lut_sat = np.clip(x * r[1], 0, 255).astype(dtype)
lut_val = np.clip(x * r[2], 0, 255).astype(dtype) lut_val = np.clip(x * r[2], 0, 255).astype(dtype)
img_hsv = cv2.merge((cv2.LUT(hue, lut_hue), cv2.LUT(sat, lut_sat), cv2.LUT(val, lut_val))).astype(dtype) img_hsv = cv2.merge((cv2.LUT(hue, lut_hue), cv2.LUT(sat, lut_sat), cv2.LUT(val, lut_val)))
cv2.cvtColor(img_hsv, cv2.COLOR_HSV2BGR, dst=img) # no return needed cv2.cvtColor(img_hsv, cv2.COLOR_HSV2BGR, dst=img) # no return needed