def get_colormap() -> np.ndarray:
"""Loads the colormap.
The colormap was precomputed using Glasbey et al. algorythm (Colour Displays
for Categorical Images, 2017) to generate maximally distinct colors.
It was generated using https://github.com/taketwo/glasbey:
```python
gb = glasbey.Glasbey(
base_palette=[(0, 0, 0), (228, 26, 28), (55, 126, 184), (77, 175, 74)],
no_black=True,
)
palette = gb.generate_palette(size=256)
gb.save_palette(palette, 'colormap.csv')
```
Returns:
colormap: A `np.array(shape=(255, 3), dtype=np.uint8)` representing the
mapping id -> color.
"""
colormap_path = resource_utils.tfds_path() / 'core/utils/colormap.csv'
with colormap_path.open() as f:
return np.array(list(csv.reader(f)), dtype=np.uint8)
def test_tfds_path():
"""Test the proper suffix only, since the prefix can vary."""
assert resource_utils.tfds_path().name == 'tensorflow_datasets'