Function make_batch_select_masks

dali/test/python/segmentation_test_utils.py:19–55

(
    batch_size,
    npolygons_range=(1, 10),
    nvertices_range=(3, 40),
    vertex_ndim=2,
    vertex_dtype=np.float32,
)

def make_batch_select_masks(
    batch_size,
    npolygons_range=(1, 10),
    nvertices_range=(3, 40),
    vertex_ndim=2,
    vertex_dtype=np.float32,
):
    polygons = []
    vertices = []
    selected_masks = []
    for _ in range(batch_size):
        nmasks = random.randint(*npolygons_range)
        available_masks = list(range(nmasks))
        selected_masks.append(
            np.array(random.sample(available_masks, random.randint(1, nmasks)), dtype=np.int32)
        )
        vertex_count = 0
        mask_id = 0
        curr_polygons = np.zeros([nmasks, 3], dtype=np.int32)
        for m in range(nmasks):
            nvertices = random.randint(*nvertices_range)
            curr_polygons[m, :] = (mask_id, vertex_count, vertex_count + nvertices)
            vertex_count = vertex_count + nvertices
            mask_id = mask_id + 1
        polygons.append(curr_polygons)
        if np.issubdtype(vertex_dtype, np.integer):
            vertices.append(
                np.random.randint(
                    low=np.iinfo(vertex_dtype).min,
                    high=np.iinfo(vertex_dtype).max,
                    size=(vertex_count, vertex_ndim),
                    dtype=vertex_dtype,
                )
            )
        else:
            vertices.append(np.array(np.random.rand(vertex_count, vertex_ndim), dtype=vertex_dtype))
    return polygons, vertices, selected_masks