This is an implementation of a simple 2d physics simulator usable from
the pytorch framework.
-The core provided function is
+The main function is
```
torch.ByteTensor generate_sequence(bool pulling,
int nb_images,
int image_height, int image_width,
int nb_shapes,
- bool random_shape_size, bool random_colors) {
+ bool random_shape_size, bool random_colors)
```
-with
- * `pulling` indicating if one of the shape should be pulled upward,
- * `nb_sequences` the number of sequences to generate
- * `nb_images` the number of frames per sequence
- * `image_height` an `image_width` the individual image size
- * `nb_shapes` how many rectangular shapes to put in the simulation
- * `random_shape_size` should they be of different size
- * `random_colors` should they be of different colors
+where
-The returned ByteTensor is of four dimensions:
+ * `pulling` indicates if one of the shape should be pulled upward,
+ * `nb_sequences` is the number of sequences to generate,
+ * `nb_images` is the number of frames per sequence,
+ * `image_height` and `image_width` is the individual image size,
+ * `nb_shapes` is the number of rectangular shapes in the simulation,
+ * `random_shape_size` states if the shapes should be of different sizes,
+ * `random_colors` states if they should be of different colors.
- * Sequence number
- * Image number
- * Channel (3, as for RGB)
+The returned ByteTensor has five dimensions:
+
+ * Sequence index
+ * Image index
+ * Channel (3 since it is RGB)
* Pixel row
* Pixel col
```
make -j -k
-./built.py
+./build.py
./flatland-test.py
```