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SUNCG scene with custom camera sampling

In contrast to the SUNCG basic example, we do not load precomputed camera poses here, but sample them.

Usage

Execute in the BlenderProc main directory:

blenderpoc run examples/datasets/suncg_with_cam_sampling/main.py <path to house.json> examples/datasets/suncg_with_cam_sampling/output
  • examples/datasets/suncg_with_cam_sampling/main.py: path to the python file with pipeline configuration.
  • <path to house.json>: Path to the house.json file of the SUNCG scene you want to render.
  • examples/datasets/suncg_with_cam_sampling/output: path to the output directory.

Visualization

Visualize the generated data:

blenderproc vis hdf5 examples/datasets/suncg_with_cam_sampling/output/0.hdf5

Steps

  • Loads a SUNCG scene.
  • Sample camera positions inside every room.
  • Automatically adds light sources inside each room.
  • Writes sampled camera poses to file.
  • Renders semantic segmentation map.
  • Renders rgb, depth and normals.
  • Merges all into an .hdf5 file.

Python file (main.py)

SuncgCameraSampler

# Init sampler for sampling locations inside the loaded suncg house
point_sampler = bproc.sampler.SuncgPointInRoomSampler(objs)
# Init bvh tree containing all mesh objects
bvh_tree = bproc.object.create_bvh_tree_multi_objects([o for o in objs if isinstance(o, bproc.types.MeshObject)])
poses = 0
tries = 0
while tries < 10000 and poses < 5:
    # Sample point inside house
    height = np.random.uniform(0.5, 2)
    location, _ = point_sampler.sample(height)
    # Sample rotation (fix around X and Y axis)
    euler_rotation = np.random.uniform([1.2217, 0, 0], [1.2217, 0, 6.283185307])
    cam2world_matrix = bproc.math.build_transformation_mat(location, euler_rotation)

    # Check that obstacles are at least 1 meter away from the camera and make sure the view interesting enough
    if bproc.camera.perform_obstacle_in_view_check(cam2world_matrix, {"min": 1.0}, bvh_tree) and bproc.camera.scene_coverage_score(cam2world_matrix) > 0.4:
        bproc.camera.add_camera_pose(cam2world_matrix)
        poses += 1
    tries +=

With this we want to sample 5 valid camera poses inside the loaded SUNCG rooms. The x and y coordinate are hereby automatically sampled uniformly across a random room, while we configure the z coordinate to lie between 0.5m and 2m above the ground. Regarding the camera rotation we fix the pitch angle to 70°, the roll angle to 0° and sample the yaw angle uniformly between 0° and 360°.

After sampling a pose the pose is only accepted if it is valid according to the properties we have specified:

  • Per default a camera pose is only accepted, if there is no object between it and the floor
  • As we enabled proximity_checks with a min value of 1.0, we then only accept the pose if every object in front of it is at least 1 meter away
  • At the end we also check if the sampled view is interesting enough. Therefore a score is calculated based on the number of objects that are visible and how much space they occupy. Only if the score is above 0.4 the pose is accepted.