def test_3d_ewa_tsdf_generation2(self):
filename = "zigzag2_depth_00108.png"
depth_image = self.image_load_helper(filename)
array_offset = np.array([-46, -8, 105], dtype=np.int32)
field_shape = np.array([16, 1, 16], dtype=np.int32)
camera_intrinsic_matrix = np.array(
[[700., 0., 320.], [0., 700., 240.], [0., 0., 1.]],
dtype=np.float32)
camera = cam.DepthCamera(intrinsics=cam.Camera.Intrinsics(
(640, 480), intrinsic_matrix=camera_intrinsic_matrix),
depth_unit_ratio=0.001)
parameters = cpp_module.tsdf.Parameters3d()
parameters.interpolation_method = cpp_module.tsdf.FilteringMethod.EWA_IMAGE_SPACE
parameters.projection_matrix = camera_intrinsic_matrix
parameters.array_offset = cpp_module.Vector3i(-46, -8, 105)
parameters.field_shape = cpp_module.Vector3i(16, 1, 16)
parameters.smoothing_factor = 0.5
generator = cpp_module.tsdf.Generator3d(parameters)
field2 = generator.generate(depth_image,
np.identity(4, dtype=np.float32), 1)
self.assertTrue(np.allclose(field2, data.sdf_3d_slice02, atol=1e-5))
field = \
ewa.generate_tsdf_3d_ewa_image(depth_image, camera,
field_shape=field_shape,
array_offset=array_offset,
voxel_size=0.004,
gaussian_covariance_scale=0.5)
self.assertTrue(np.allclose(field, data.sdf_3d_slice02))
def test_2D_ewa_tsdf_generation4(self):
filename = "zigzag1_depth_00064.png"
depth_image = self.image_load_helper(filename)
camera_intrinsic_matrix = np.array(
[[700., 0., 320.], [0., 700., 240.], [0., 0., 1.]],
dtype=np.float32)
camera = cam.DepthCamera(intrinsics=cam.Camera.Intrinsics(
(640, 3), intrinsic_matrix=camera_intrinsic_matrix),
depth_unit_ratio=0.001)
field = \
ewa.generate_tsdf_2d_ewa_tsdf_inclusive(depth_image, camera, 200,
field_size=16,
array_offset=np.array([-232, -256, 490]),
voxel_size=0.004,
gaussian_covariance_scale=0.5
)
self.assertTrue(np.allclose(field, data.out_sdf_field04))
parameters = cpp_module.tsdf.Parameters2d()
parameters.interpolation_method = cpp_module.tsdf.FilteringMethod.EWA_VOXEL_SPACE_INCLUSIVE
parameters.projection_matrix = camera_intrinsic_matrix
parameters.array_offset = cpp_module.Vector2i(-232, 490)
parameters.field_shape = cpp_module.Vector2i(16, 16)
parameters.smoothing_factor = 0.5
generator = cpp_module.tsdf.Generator2d(parameters)
field2 = generator.generate(depth_image,
np.identity(4, dtype=np.float32), 1)
self.assertTrue(np.allclose(field2, data.out_sdf_field04, atol=1e-5))
def test_3d_ewa_tsdf_generation2(self):
filename = "zigzag2_depth_00108.png"
depth_image = self.image_load_helper(filename)
array_offset = np.array([-46, -8, 105], dtype=np.int32)
field_shape = np.array([16, 1, 16], dtype=np.int32)
camera_intrinsic_matrix = np.array([[700., 0., 320.], [0., 700., 240.],
[0., 0., 1.]])
camera = cam.DepthCamera(intrinsics=cam.Camera.Intrinsics(
(640, 480), intrinsic_matrix=camera_intrinsic_matrix),
depth_unit_ratio=0.001)
field2 = ewa.generate_tsdf_3d_ewa_image_cpp(
depth_image,
camera,
field_shape=field_shape,
array_offset=array_offset,
voxel_size=0.004,
gaussian_covariance_scale=0.5)
self.assertTrue(np.allclose(field2, data.sdf_3d_slice02, atol=1e-5))
field = \
ewa.generate_tsdf_3d_ewa_image(depth_image, camera,
field_shape=field_shape,
array_offset=array_offset,
voxel_size=0.004,
gaussian_covariance_scale=0.5)
self.assertTrue(np.allclose(field, data.sdf_3d_slice02))
def test_2D_ewa_tsdf_generation4(self):
filename = "zigzag1_depth_00064.png"
depth_image = self.image_load_helper(filename)
camera_intrinsic_matrix = np.array([[700., 0., 320.], [0., 700., 240.],
[0., 0., 1.]])
camera = cam.DepthCamera(intrinsics=cam.Camera.Intrinsics(
(640, 3), intrinsic_matrix=camera_intrinsic_matrix),
depth_unit_ratio=0.001)
field = \
ewa.generate_tsdf_2d_ewa_tsdf_inclusive(depth_image, camera, 200,
field_size=16,
array_offset=np.array([-232, -256, 490]),
voxel_size=0.004,
gaussian_covariance_scale=0.5
)
self.assertTrue(np.allclose(field, data.out_sdf_field04))
field2 = ewa.generate_tsdf_2d_ewa_tsdf_inclusive_cpp(
depth_image,
camera,
1,
field_size=16,
array_offset=np.array([-232, -256, 490]),
voxel_size=0.004,
gaussian_covariance_scale=0.5)
self.assertTrue(np.allclose(field2, data.out_sdf_field04, atol=1e-5))
def test_2d_ewa_tsdf_generation2(self):
filename = "zigzag2_depth_00108.png"
depth_image = self.image_load_helper(filename)
test_full_image = False
camera_intrinsic_matrix = np.array(
[[700., 0., 320.], [0., 700., 240.], [0., 0., 1.]],
dtype=np.float32)
camera = cam.DepthCamera(intrinsics=cam.Camera.Intrinsics(
(640, 480), intrinsic_matrix=camera_intrinsic_matrix),
depth_unit_ratio=0.001)
offset_full_image = np.array([-256, 0, 0])
chunk_x_start = 210
chunk_y_start = 103
chunk_size = 16
offset_chunk_from_image = np.array([chunk_x_start, 0, chunk_y_start])
offset_chunk = offset_full_image + offset_chunk_from_image
if test_full_image:
parameters = cpp_module.tsdf.Parameters2d()
parameters.projection_matrix = camera_intrinsic_matrix
parameters.field_shape = cpp_module.Vector2i(512, 512)
parameters.array_offset = cpp_module.Vector2i(
int(offset_full_image[0]), int(offset_full_image[2]))
parameters.interpolation_method = cpp_module.tsdf.FilteringMethod.EWA_IMAGE_SPACE
generator = cpp_module.tsdf.Generator2d(parameters)
field2 = generator.generate(depth_image,
np.identity(4, dtype=np.float32), 200)
chunk = field2[chunk_y_start:chunk_y_start + chunk_size,
chunk_x_start:chunk_x_start + chunk_size].copy()
else:
parameters = cpp_module.tsdf.Parameters2d()
parameters.interpolation_method = cpp_module.tsdf.FilteringMethod.EWA_IMAGE_SPACE
parameters.projection_matrix = camera_intrinsic_matrix
parameters.array_offset = cpp_module.Vector2i(
int(offset_chunk[0]), int(offset_chunk[2]))
parameters.field_shape = cpp_module.Vector2i(16, 16)
generator = cpp_module.tsdf.Generator2d(parameters)
chunk = generator.generate(depth_image,
np.identity(4, dtype=np.float32), 200)
self.assertTrue(np.allclose(chunk, data.out_sdf_chunk))
field = \
ewa.generate_tsdf_2d_ewa_image(depth_image, camera, 200,
field_size=chunk_size,
array_offset=offset_chunk,
voxel_size=0.004)
self.assertTrue(np.allclose(field, data.out_sdf_chunk, atol=2e-5))
def test_2d_ewa_tsdf_generation2(self):
filename = "zigzag2_depth_00108.png"
depth_image = self.image_load_helper(filename)
test_full_image = False
camera_intrinsic_matrix = np.array([[700., 0., 320.], [0., 700., 240.],
[0., 0., 1.]])
camera = cam.DepthCamera(intrinsics=cam.Camera.Intrinsics(
(640, 480), intrinsic_matrix=camera_intrinsic_matrix),
depth_unit_ratio=0.001)
offset_full_image = np.array([-256, -256, 0])
chunk_x_start = 210
chunk_y_start = 103
chunk_size = 16
offset_chunk_from_image = np.array([chunk_x_start, 0, chunk_y_start])
offset_chunk = offset_full_image + offset_chunk_from_image
if test_full_image:
field2 = ewa.generate_tsdf_2d_ewa_image_cpp(
depth_image,
camera,
200,
field_size=512,
array_offset=offset_full_image,
voxel_size=0.004)
chunk = field2[chunk_y_start:chunk_y_start + chunk_size,
chunk_x_start:chunk_x_start + chunk_size].copy()
else:
chunk = ewa.generate_tsdf_2d_ewa_image_cpp(
depth_image,
camera,
200,
field_size=chunk_size,
array_offset=offset_chunk,
voxel_size=0.004)
self.assertTrue(np.allclose(chunk, data.out_sdf_chunk))
field = \
ewa.generate_tsdf_2d_ewa_image(depth_image, camera, 200,
field_size=chunk_size,
array_offset=offset_chunk,
voxel_size=0.004)
self.assertTrue(np.allclose(field, data.out_sdf_chunk, atol=2e-5))
def test_2D_ewa_tsdf_generation1(self):
depth_image = np.zeros((3, 640), dtype=np.uint16)
depth_image[:] = np.iinfo(np.uint16).max
depth_image_region = np.array(
[[
3233, 3246, 3243, 3256, 3253, 3268, 3263, 3279, 3272, 3289,
3282, 3299, 3291, 3308, 3301, 3317, 3310, 3326
],
[
3233, 3246, 3243, 3256, 3253, 3268, 3263, 3279, 3272, 3289,
3282, 3299, 3291, 3308, 3301, 3317, 3310, 3326
],
[
3233, 3246, 3243, 3256, 3253, 3268, 3263, 3279, 3272, 3289,
3282, 3299, 3291, 3308, 3301, 3317, 3310, 3326
]],
dtype=np.uint16)
depth_image[:, 399:417] = depth_image_region
camera_intrinsic_matrix = np.array(
[[700., 0., 320.], [0., 700., 240.], [0., 0., 1.]],
dtype=np.float32)
camera = cam.DepthCamera(intrinsics=cam.Camera.Intrinsics(
(640, 3), intrinsic_matrix=camera_intrinsic_matrix),
depth_unit_ratio=0.001)
field = \
ewa.generate_tsdf_2d_ewa_image(depth_image, camera, 1,
field_size=16,
array_offset=np.array([94, -256, 804]),
voxel_size=0.004)
self.assertTrue(np.allclose(field, data.out_sdf_field01, atol=2e-5))
parameters = cpp_module.tsdf.Parameters2d()
parameters.interpolation_method = cpp_module.tsdf.FilteringMethod.EWA_IMAGE_SPACE
parameters.projection_matrix = camera_intrinsic_matrix
parameters.array_offset = cpp_module.Vector2i(94, 804)
parameters.field_shape = cpp_module.Vector2i(16, 16)
generator = cpp_module.tsdf.Generator2d(parameters)
field2 = generator.generate(depth_image,
np.identity(4, dtype=np.float32), 1)
self.assertTrue(np.allclose(field2, data.out_sdf_field01, atol=1e-6))
def test_2D_ewa_tsdf_generation1(self):
depth_image = np.zeros((3, 640), dtype=np.uint16)
depth_image[:] = np.iinfo(np.uint16).max
depth_image_region = np.array(
[[
3233, 3246, 3243, 3256, 3253, 3268, 3263, 3279, 3272, 3289,
3282, 3299, 3291, 3308, 3301, 3317, 3310, 3326
],
[
3233, 3246, 3243, 3256, 3253, 3268, 3263, 3279, 3272, 3289,
3282, 3299, 3291, 3308, 3301, 3317, 3310, 3326
],
[
3233, 3246, 3243, 3256, 3253, 3268, 3263, 3279, 3272, 3289,
3282, 3299, 3291, 3308, 3301, 3317, 3310, 3326
]],
dtype=np.uint16)
depth_image[:, 399:417] = depth_image_region
camera_intrinsic_matrix = np.array([[700., 0., 320.], [0., 700., 240.],
[0., 0., 1.]])
camera = cam.DepthCamera(intrinsics=cam.Camera.Intrinsics(
(640, 3), intrinsic_matrix=camera_intrinsic_matrix),
depth_unit_ratio=0.001)
field = \
ewa.generate_tsdf_2d_ewa_image(depth_image, camera, 1,
field_size=16,
array_offset=np.array([94, -256, 804]),
voxel_size=0.004)
self.assertTrue(np.allclose(field, data.out_sdf_field01, atol=2e-5))
field2 = ewa.generate_tsdf_2d_ewa_image_cpp(depth_image,
camera,
1,
field_size=16,
array_offset=np.array(
[94, -256, 804],
dtype=np.int32),
voxel_size=0.004)
self.assertTrue(np.allclose(field2, data.out_sdf_field01, atol=1e-6))
