crosstyan/RapidPoseTriangulation
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Updated readme example images.

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Daniel
2024-09-25 15:55:18 +02:00
parent 21f0a20d79
commit f62d90f753
4 changed files with 1 additions and 7 deletions
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scripts/test_triangulate.py
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@ -458,7 +458,7 @@ def main():
poses2D = np.zeros([len(images_2d), 1, len(joint_names_3d), 3]) poses2D = np.zeros([len(images_2d), 1, len(joint_names_3d), 3])
else: else:
cameras = spt.convert_cameras(camparams) cameras = spt.convert_cameras(camparams)
roomp = [roomparams["room_center"], roomparams["room_size"]] roomp = [roomparams["room_size"], roomparams["room_center"]]
triangulator = spt.Triangulator(min_score=0.95) triangulator = spt.Triangulator(min_score=0.95)
stime = time.time() stime = time.time()
@ -474,12 +474,6 @@ def main():
for cam in camparams: for cam in camparams:
poses_2d, _ = utils_pose.project_poses(poses3D, cam) poses_2d, _ = utils_pose.project_poses(poses3D, cam)
poses2D.append(poses_2d) poses2D.append(poses_2d)
poses3D, poses2D = filter_poses(
poses3D,
poses2D,
roomparams,
joint_names_3d,
)
print(poses3D) print(poses3D)
# print(poses2D) # print(poses2D)