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car-detection-bayes
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updates

This commit is contained in:
Glenn Jocher 2020-01-10 13:41:47 -08:00
parent c8a67adecc
commit b7a25e60ce
1 changed files with 3 additions and 2 deletions
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5
utils/datasets.py
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@ -420,7 +420,7 @@ class LoadImagesAndLabels(Dataset): # for training/testing
if mosaic:
# Load mosaic
img, labels = load_mosaic(self, index)
h0, w0, ratio, pad = None, None, None, None
shapes = None
else:
# Load image
@ -429,6 +429,7 @@ class LoadImagesAndLabels(Dataset): # for training/testing
# Letterbox
shape = self.batch_shapes[self.batch[index]] if self.rect else self.img_size # final letterboxed shape
img, ratio, pad = letterbox(img, shape, auto=False, scaleup=self.augment)
shapes = (h0, w0), ((h / h0, w / w0), pad) # for COCO mAP rescaling
# Load labels
labels = []
@ -494,7 +495,7 @@ class LoadImagesAndLabels(Dataset): # for training/testing
img = img[:, :, ::-1].transpose(2, 0, 1) # BGR to RGB, to 3x416x416
img = np.ascontiguousarray(img)
return torch.from_numpy(img), labels_out, img_path, ((h0, w0), (ratio, pad))
return torch.from_numpy(img), labels_out, img_path, shapes
@staticmethod
def collate_fn(batch):