Fix Fat dataset loader #312
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oarriaga
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Sep 1, 2023
paz/datasets/fat.py
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| from ..abstract import Loader | ||
| from .utils import get_class_names |
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please keep the previous conventions of importing from inside paz
paz/datasets/fat.py
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| @@ -25,16 +24,23 @@ class FAT(Loader): | |||
| Estimation (DOPE)](https://github.com/NVlabs/Deep_Object_Pose) | |||
| """ | |||
| # TODO: Allow selection of class_names. | |||
| def __init__(self, path, split='train', class_names='all'): | |||
| def __init__(self, path, split=(0.4, 0.4, 0.2), class_names = 'all'): | |||
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the variable split is only intended to set to be 'train', 'validation' or 'test'. Please don't change that behavior.
paz/datasets/fat.py
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| data_dict = {} | ||
| train_split = int(len(self.data) * self.split[0]) | ||
| test_split = int(len(self.data) * self.split[1]) | ||
| validation_split = int(len(self.data) * self.split[2]) | ||
| data_dict['train'] = self.data[:train_split] | ||
| data_dict['test'] = self.data[ | ||
| train_split:(train_split + test_split)] | ||
| data_dict['validation'] = self.data[(train_split + test_split):] | ||
| return data_dict | ||
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One should instantiate a single data loader per dataset.
paz/datasets/fat.py
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| fat = Fat('/home/ramit/git/paz') | ||
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