integrated finger process pipeline on remapped 2d image
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import numpy as np
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from orisys import Sensor
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from orisys.get_depth import Contact3D
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from orisys.hhd import nHHD
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def _circle_mask(shape, radius_ratio=0.35):
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h, w = shape
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yy, xx = np.mgrid[0:h, 0:w]
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cy = (h - 1) / 2.0
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cx = (w - 1) / 2.0
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radius = min(h, w) * radius_ratio
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return ((yy - cy) ** 2 + (xx - cx) ** 2) <= radius ** 2
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def _radial_flow(shape, scale=0.05):
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h, w = shape
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yy, xx = np.mgrid[0:h, 0:w]
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cy = (h - 1) / 2.0
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cx = (w - 1) / 2.0
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flow = np.zeros((h, w, 2), dtype=np.float32)
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flow[:, :, 0] = (xx - cx) * scale
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flow[:, :, 1] = (yy - cy) * scale
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return flow
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def test_masked_hhd_zeroes_invalid_region():
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shape = (48, 56)
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mask = _circle_mask(shape)
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flow = _radial_flow(shape, scale=0.03)
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flow[~mask] = 0
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solver = nHHD(cuda=False, grid=shape, spacings=(1.0, 1.0), poisson_backend="cpu")
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_, forces = solver.get_force(flow, valid_mask=mask)
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vnormal = solver.get_normal()
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vshear = solver.get_shear()
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assert np.isfinite(forces).all()
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assert np.allclose(vnormal[~mask], 0.0, atol=1e-5)
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assert np.allclose(vshear[~mask], 0.0, atol=1e-5)
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def test_masked_hhd_ignores_invalid_background_spike():
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shape = (48, 56)
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mask = _circle_mask(shape)
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base = _radial_flow(shape, scale=0.02)
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base[~mask] = 0
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contaminated = base.copy()
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contaminated[~mask, 0] = 25.0
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contaminated[~mask, 1] = -15.0
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solver = nHHD(cuda=False, grid=shape, spacings=(1.0, 1.0), poisson_backend="cpu")
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_, forces_base = solver.get_force(base, valid_mask=mask)
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_, forces_contaminated = solver.get_force(contaminated, valid_mask=mask)
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assert np.allclose(forces_base, forces_contaminated, atol=1e-3, rtol=1e-3)
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def test_sensor_detect_motion_ignores_invalid_region():
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sensor = Sensor(
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vid_src="external",
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cuda=False,
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isstitch=False,
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verbose=False,
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config_name="dd02-ov",
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mirror=False,
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backend="cpu",
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)
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try:
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frame = np.zeros((728, 672, 3), dtype=np.uint8)
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mask = np.zeros((728, 672), dtype=bool)
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mask[180:540, 160:512] = True
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sensor.get_img(frame=frame, already_processed=True, valid_mask=mask)
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sensor.flow = np.zeros((728, 672, 2), dtype=np.float32)
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sensor.flow[~mask] = 10.0
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assert not sensor.detect_motion(threshold=1.0)
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sensor.flow[:] = 0.0
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sensor.flow[mask] = 10.0
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assert sensor.detect_motion(threshold=1.0)
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finally:
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sensor.disconnect()
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def test_contact_centroid_respects_domain_mask():
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config_contact = {
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"min_contour_area": 25,
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"flow_threshold": 0.01,
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"div_threshold": 0.0,
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"expansion_threshold": 0.0,
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"kernel_size": [3, 3],
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"denoise_sigma": 0.0,
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}
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shape = (96, 96)
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mask = _circle_mask(shape, radius_ratio=0.28)
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flow = _radial_flow(shape, scale=0.05)
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flow[~mask] = 0.0
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flow[:, :8, 0] = 100.0
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flow[:, :8, 1] = 100.0
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contact = Contact3D(config_contact=config_contact, verbose=False)
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result = contact.compute_foe(flow, valid_mask=mask)
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assert result["centroid_found"]
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cx, cy = result["centroid"]
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assert mask[cy, cx]
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