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218 lines (185 loc) · 6.53 KB
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import sys
import numpy as np
import pytest
import torch
import genesis as gs
from genesis.utils.misc import tensor_to_array
from .utils import assert_allclose, rgb_array_to_png_bytes
@pytest.mark.required
@pytest.mark.parametrize("n_envs", [0, 1])
def test_rasterizer_camera_sensor(show_viewer, tol, n_envs):
scene = gs.Scene(
profiling_options=gs.options.ProfilingOptions(show_FPS=False),
show_viewer=show_viewer,
)
plane = scene.add_entity(
morph=gs.morphs.Plane(),
surface=gs.surfaces.Rough(color=(0.4, 0.4, 0.4)),
)
sphere = scene.add_entity(
morph=gs.morphs.Sphere(pos=(0.0, 0.0, 2.0), radius=0.5),
surface=gs.surfaces.Smooth(color=(1.0, 0.5, 0.5)),
)
box = scene.add_entity(
morph=gs.morphs.Box(pos=(1.0, 1.0, 1.0), size=(0.3, 0.3, 0.3)),
surface=gs.surfaces.Rough(color=(0.5, 1.0, 0.5)),
)
raster_cam0 = scene.add_sensor(
gs.sensors.RasterizerCameraOptions(
res=(512, 512),
pos=(3.0, 0.0, 2.0),
lookat=(0.0, 0.0, 1.0),
up=(0.0, 0.0, 1.0),
fov=60.0,
near=0.1,
far=100.0,
lights=[
{
"pos": (2.0, 2.0, 5.0),
"color": (1.0, 1.0, 1.0),
"intensity": 5.0,
}
],
)
)
raster_cam1 = scene.add_sensor(
gs.sensors.RasterizerCameraOptions(
res=(256, 256),
pos=(0.0, 3.0, 2.0),
lookat=(0.0, 0.0, 1.0),
up=(0.0, 0.0, 1.0),
fov=45.0,
)
)
raster_cam_attached = scene.add_sensor(
gs.sensors.RasterizerCameraOptions(
res=(320, 240),
pos=(0.0, 0.0, 1.0), # Relative to link when attached
lookat=(0.0, 0.0, 0.0),
up=(0.0, 0.0, 1.0),
fov=70.0,
entity_idx=sphere.idx, # Attach to sphere
link_idx_local=0,
)
)
offset_T = np.eye(4)
offset_T[2, 3] = 1.0
raster_cam_offset_T = scene.add_sensor(
gs.sensors.RasterizerCameraOptions(
res=(320, 240),
pos=(0.0, 0.0, 1.0),
lookat=(0.0, 0.0, 0.0),
up=(0.0, 0.0, 1.0),
fov=70.0,
entity_idx=sphere.idx,
link_idx_local=0,
offset_T=offset_T,
)
)
scene.build(n_envs=n_envs)
for i in range(10):
scene.step()
data_cam0 = raster_cam0.read()
data_cam1 = raster_cam1.read()
data_attached = raster_cam_attached.read()
data_offset_T = raster_cam_offset_T.read()
for cam_name, data in [
("cam0", data_cam0),
("cam1", data_cam1),
("attached", data_attached),
("offset_T", data_offset_T),
]:
rgb = data.rgb
rgb_np = tensor_to_array(rgb)
mean_value = np.mean(rgb_np)
assert mean_value > 1.0
assert mean_value < 254.0
variance = np.var(rgb_np)
assert variance > 1.0
data_env0 = raster_cam0.read(envs_idx=0)
assert data_env0.rgb.shape == (512, 512, 3)
def _get_camera_world_pos(sensor):
renderer = sensor._shared_metadata.renderer
context = sensor._shared_metadata.context
node = renderer._camera_nodes[sensor._idx]
pose = context._scene.get_pose(node)
if pose.ndim == 3:
pose = pose[0]
return pose[:3, 3].copy()
cam_pos_initial = _get_camera_world_pos(raster_cam_attached)
cam_pos_initial_offset_T = _get_camera_world_pos(raster_cam_offset_T)
for i in range(10): # Test over multiple steps
scene.step()
data_attached_moved = raster_cam_attached.read()
cam_pos_final = _get_camera_world_pos(raster_cam_attached)
cam_move_dist = np.linalg.norm(cam_pos_final - cam_pos_initial)
assert cam_move_dist > 1e-2
data_offset_T_moved = raster_cam_offset_T.read()
cam_pos_final_offset_T = _get_camera_world_pos(raster_cam_offset_T)
cam_move_dist_offset_T = np.linalg.norm(cam_pos_final_offset_T - cam_pos_initial_offset_T)
assert cam_move_dist_offset_T > 1e-2
assert_allclose(cam_move_dist_offset_T, cam_move_dist, atol=1e-2)
# ========================== Multi-environment tests ==========================
@pytest.mark.required
def test_rasterizer_camera_sensor_n_envs(show_viewer, png_snapshot):
if sys.platform == "darwin":
pytest.skip(
"Batched rendering with Rasterizer backend is not supported on this machine because it requires OpenGL 4.2."
)
scene = gs.Scene(
rigid_options=gs.options.RigidOptions(),
renderer=gs.renderers.Rasterizer(),
show_viewer=show_viewer,
)
# Add a plane
scene.add_entity(
morph=gs.morphs.Plane(),
surface=gs.surfaces.Rough(color=(0.4, 0.4, 0.4)),
)
# Add a sphere
sphere = scene.add_entity(
morph=gs.morphs.Sphere(pos=(0.0, 0.0, 1.0), radius=0.3),
surface=gs.surfaces.Smooth(color=(1.0, 0.5, 0.5)),
)
options = gs.sensors.RasterizerCameraOptions(
res=(64, 64), pos=(3.0, 0.0, 1.5), lookat=(0.0, 0.0, 0.5), fov=60.0, draw_debug=show_viewer
)
camera = scene.add_sensor(options)
n_envs = 2
scene.build(n_envs=n_envs)
sphere.set_pos([[0.0, 0.0, 1.0], [0.2, 0.0, 0.5]])
scene.step()
data = camera.read()
assert data.rgb.shape == (2, 64, 64, 3)
assert data.rgb.dtype == torch.uint8
assert (data.rgb[0] != data.rgb[1]).any(), "We should have different frames"
for i in range(n_envs):
assert rgb_array_to_png_bytes(data.rgb[i]) == png_snapshot
@pytest.mark.required
def test_rasterizer_camera_sensor_n_envs_attached_camera(show_viewer):
if sys.platform == "darwin":
pytest.skip(
"Batched rendering with Rasterizer backend is not supported on this machine because it requires OpenGL 4.2."
)
scene = gs.Scene(
rigid_options=gs.options.RigidOptions(),
renderer=gs.renderers.Rasterizer(),
show_viewer=show_viewer,
)
# Add a sphere
sphere = scene.add_entity(
morph=gs.morphs.Sphere(pos=(0.0, 0.0, 1.0), radius=0.3),
surface=gs.surfaces.Smooth(color=(1.0, 0.5, 0.5)),
)
options = gs.sensors.RasterizerCameraOptions(
res=(64, 64),
pos=(3.0, 0.0, 1.5),
lookat=(0.0, 0.0, 0.5),
fov=60.0,
entity_idx=sphere.idx,
draw_debug=show_viewer,
)
scene.add_sensor(options)
n_envs = 2
with pytest.raises(gs.GenesisException, match="does not work with attached cameras yet."):
scene.build(n_envs=n_envs)