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car-detection-bayes
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updates

This commit is contained in:
Glenn Jocher 2019-04-18 14:33:32 +02:00
parent f4dc0d84e4
commit 2089e4f4c8
1 changed files with 7 additions and 12 deletions
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19
utils/datasets.py
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@ -154,22 +154,17 @@ class LoadImagesAndLabels(Dataset): # for training/testing
if self.augment and augment_hsv: if self.augment and augment_hsv:
# SV augmentation by 50% # SV augmentation by 50%
fraction = 0.50 # must be < 1.0 fraction = 0.50 # must be < 1.0
img_hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV) img_hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV) # hue, sat, val
S = img_hsv[:, :, 1].astype(np.float32) S = img_hsv[:, :, 1].astype(np.float32) # saturation
V = img_hsv[:, :, 2].astype(np.float32) V = img_hsv[:, :, 2].astype(np.float32) # value
a = (random.random() * 2 - 1) * fraction + 1 a = (random.random() * 2 - 1) * fraction + 1
b = (random.random() * 2 - 1) * fraction + 1
S *= a S *= a
if a > 1: V *= b
np.clip(S, None, 255, out=S)
a = (random.random() * 2 - 1) * fraction + 1 img_hsv[:, :, 1] = S if a < 1 else S.clip(None, 255)
V *= a img_hsv[:, :, 2] = V if b < 1 else V.clip(None, 255)
if a > 1:
np.clip(V, None, 255, out=V)
img_hsv[:, :, 1] = S # .astype(np.uint8)
img_hsv[:, :, 2] = V # .astype(np.uint8)
cv2.cvtColor(img_hsv, cv2.COLOR_HSV2BGR, dst=img) cv2.cvtColor(img_hsv, cv2.COLOR_HSV2BGR, dst=img)
h, w, _ = img.shape h, w, _ = img.shape