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@@ -35,7 +35,7 @@ for im, parts, label in train_data:
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```
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## Working with Part Annotations
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-Both datasets (NAB and CUB) have part annotations. Each annotation has for each of the predefined parts the location of this part and a boolean (`0` or `1`) value whether this part is visible. A [`Dataset`](nabirds/dataset/__init__.py#L5) instance returns besides the image and the class label this information:
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+Both datasets (NAB and CUB) have part annotations. Each annotation has for each of the predefined parts the location of this part and a boolean (`0` or `1`) value whether this part is visible. A [`Dataset`](nabirds/dataset/__init__.py) instance returns besides the image and the class label this information:
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```python
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@@ -121,7 +121,7 @@ plt.show()
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### Random Crops
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-In some cases randomly selected crops are desired. Here you can use the [`utils.random_select`](nabirds/dataset/utils.py#L68) function. As optional argument you can also pass a `rnd` argument, that can be an integer (indicating a random seed) or a `numpy.random.RandomState` instance. Additionally, you can also determine the number of crops that will be selected (default is to select random number of crops).
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+In some cases randomly selected crops are desired. Here you can use the [`utils.random_select`](nabirds/dataset/utils.py#L76) function. As optional argument you can also pass a `rnd` argument, that can be an integer (indicating a random seed) or a `numpy.random.RandomState` instance. Additionally, you can also determine the number of crops that will be selected (default is to select random number of crops).
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```python
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from nabirds import utils
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