bug fixed ... no double images any longer... repeat trainging because there we have the same issue...
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14
datasets.py
14
datasets.py
@ -24,20 +24,8 @@ class CustomDataset(Dataset):
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self.dir_path = dir_path
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self.bbox_df = bbox_df
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embed()
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quit()
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self.all_images = np.array(sorted(self.bbox_df['image']), dtype=str)
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self.all_images = np.array(sorted(pd.unique(self.bbox_df['image'])), dtype=str)
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self.image_paths = list(map(lambda x: Path(self.dir_path)/x, self.all_images))
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# embed()
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# quit()
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# self.image_paths = glob.glob(f'{self.dir_path}/*.png')
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# self.all_images = [img_path.split(os.path.sep)[-1] for img_path in self.image_paths]
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# self.all_images = np.array(sorted(self.all_images), dtype=str)
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# if hasattr(use_idxs, '__len__'):
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# self.all_images = self.all_images[use_idxs]
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# self.bbox_df = pd.read_csv(os.path.join(dir_path, 'bbox_dataset.csv'), sep=',', index_col=0)
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def __getitem__(self, idx):
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image_name = self.all_images[idx]
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