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car-detection-bayes
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updates

This commit is contained in:
Glenn Jocher 2020-01-10 11:55:54 -08:00
parent 6e52f985fe
commit 3505b57421
1 changed files with 7 additions and 6 deletions
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13
utils/datasets.py
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@ -506,17 +506,18 @@ class LoadImagesAndLabels(Dataset): # for training/testing
def load_image(self, index): def load_image(self, index):
# loads 1 image from dataset, returns img, original hw, resized hw # loads 1 image from dataset, returns img, original hw, resized hw
if self.imgs[index] is None: # not cached img = self.imgs[index]
if img is None: # not cached
img_path = self.img_files[index] img_path = self.img_files[index]
img = cv2.imread(img_path) # BGR img = cv2.imread(img_path) # BGR
assert img is not None, 'Image Not Found ' + img_path assert img is not None, 'Image Not Found ' + img_path
h0, w0 = img.shape[:2] # orig hw h0, w0 = img.shape[:2] # orig hw
r = self.img_size / max(h0, w0) # resize image to img_size r = self.img_size / max(h0, w0) # resize image to img_size
if self.augment and (r != 1): # always resize down, only resize up if training with augmentation if r < 1 or (self.augment and (r != 1)): # always resize down, only resize up if training with augmentation
h, w = int(h0 * r), int(w0 * r) img = cv2.resize(img, (int(w0 * r), int(h0 * r)), interpolation=cv2.INTER_LINEAR) # _LINEAR fastest
return cv2.resize(img, (w, h), interpolation=cv2.INTER_LINEAR), (h0, w0), (h, w) # _LINEAR fastest return img, (h0, w0), img.shape[:2] # img, hw_original, hw_resized
else: # cached else:
return self.imgs[index], self.img_hw0[index], self.img_hw[index] # img, hw return self.imgs[index], self.img_hw0[index], self.img_hw[index] # img, hw_original, hw_resized
def augment_hsv(img, hgain=0.5, sgain=0.5, vgain=0.5): def augment_hsv(img, hgain=0.5, sgain=0.5, vgain=0.5):