A synthetic dataset used for generative models
Project description
# Basicprop (Synthetic Dataset)
## Instructions
There are the following datasets:
1. Line (10 classes)
2. Rects (100 classes)
Each dataset has the same API:
- get_image(y) -> returns an image of class y.
- get_batch(batch_size) -> returns a batch of images with random classes.
Here is an example:
```
from basicprop.datasets import Line, Rects
line = Line()
rects = Rects()
line_images = [line.get_image(y) for y in range(10)]
rects_images = [rects.get_image(y) for y in range(100)]
```
## License
MIT
## Instructions
There are the following datasets:
1. Line (10 classes)
2. Rects (100 classes)
Each dataset has the same API:
- get_image(y) -> returns an image of class y.
- get_batch(batch_size) -> returns a batch of images with random classes.
Here is an example:
```
from basicprop.datasets import Line, Rects
line = Line()
rects = Rects()
line_images = [line.get_image(y) for y in range(10)]
rects_images = [rects.get_image(y) for y in range(100)]
```
## License
MIT
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