def transform_world_to_camera(poses_set, cams, ncams=4):
"""
Project 3d poses from world coordinate to camera coordinate system
Args
poses_set: dictionary with 3d poses
cams: dictionary with cameras
ncams: number of cameras per subject
Return:
t3d_camera: dictionary with 3d poses in camera coordinate
"""
t3d_camera = {}
for t3dk in sorted(poses_set.keys()):
subj, action, seqname = t3dk
# if t3dk not in poses_set:
# logging.info('debug')
t3d_world = poses_set[t3dk]
for c in range(ncams):
R, T, f, c, k, p, name = cams[(subj, c + 1)]
camera_coord = cameras.world_to_camera_frame(
np.reshape(t3d_world, [-1, 3]), R, T)
camera_coord = np.reshape(camera_coord, [-1, len(H36M_NAMES) * 3])
sname = seqname[:-3] + "." + name + ".h5" # e.g.: Waiting 1.58860488.h5
t3d_camera[(subj, action, sname)] = camera_coord
return t3d_camera
def transform_world_to_camera(poses, cams):
"""
Project 3d poses from world coordinate to camera coordinate system
return: list of 3D poses in camera coordinate systems
"""
p_3d_cam = []
for cam in cams:
R, T, f, c, k, p, name = cam
camera_coord = cameras.world_to_camera_frame(
np.reshape(poses, [-1, 3]), R, T)
camera_coord = np.reshape(camera_coord, [-1, len(H36M_NAMES) * 3])
p_3d_cam.append(camera_coord)
return p_3d_cam