updates
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train.py
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train.py
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@ -32,6 +32,7 @@ hyp = {'giou': 1.582, # giou loss gain
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'momentum': 0.97, # SGD momentum
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'momentum': 0.97, # SGD momentum
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'weight_decay': 0.0004569, # optimizer weight decay
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'weight_decay': 0.0004569, # optimizer weight decay
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'fl_gamma': 0.5, # focal loss gamma
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'fl_gamma': 0.5, # focal loss gamma
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'hsv_h': 0.0, # image HSV-Hue augmentation (fraction)
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'hsv_s': 0.5703, # image HSV-Saturation augmentation (fraction)
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'hsv_s': 0.5703, # image HSV-Saturation augmentation (fraction)
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'hsv_v': 0.3174, # image HSV-Value augmentation (fraction)
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'hsv_v': 0.3174, # image HSV-Value augmentation (fraction)
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'degrees': 1.113, # image rotation (+/- deg)
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'degrees': 1.113, # image rotation (+/- deg)
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@ -404,7 +404,6 @@ class LoadImagesAndLabels(Dataset): # for training/testing
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img_path = self.img_files[index]
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img_path = self.img_files[index]
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label_path = self.label_files[index]
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label_path = self.label_files[index]
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hyp = self.hyp
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mosaic = True # load 4 images at a time into a mosaic
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mosaic = True # load 4 images at a time into a mosaic
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if mosaic:
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if mosaic:
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@ -440,8 +439,10 @@ class LoadImagesAndLabels(Dataset): # for training/testing
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labels[:, 4] = ratio[1] * h * (x[:, 2] + x[:, 4] / 2) + padh
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labels[:, 4] = ratio[1] * h * (x[:, 2] + x[:, 4] / 2) + padh
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if self.augment:
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if self.augment:
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hyp = self.hyp
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# Augment colorspace
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# Augment colorspace
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augment_hsv(img, hgain=hyp['hsv_h'], sgain=hyp['hsv_s'], vgain=0.0)
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augment_hsv(img, hgain=hyp['hsv_h'], sgain=hyp['hsv_s'], vgain=hyp['hsv_v'])
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# Augment imagespace
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# Augment imagespace
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g = 0.0 if mosaic else 1.0 # do not augment mosaics
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g = 0.0 if mosaic else 1.0 # do not augment mosaics
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