def project_to_cameras( poses_set, cams, ncams=4 ):
"""
Project 3d poses using camera parameters
Args
poses_set: dictionary with 3d poses
cams: dictionary with camera parameters
ncams: number of cameras per subject
Returns
t2d: dictionary with 2d poses
"""
t2d = {}
for t3dk in sorted( poses_set.keys() ):
subj, a, seqname = t3dk
t3d = poses_set[ t3dk ]
for cam in range( ncams ):
R, T, f, c, k, p, name = cams[ (subj, cam+1) ]
pts2d, _, _, _, _ = cameras.project_point_radial( np.reshape(t3d, [-1, 3]), R, T, f, c, k, p )
pts2d = np.reshape( pts2d, [-1, len(H36M_NAMES)*2] )
sname = seqname[:-3]+"."+name+".h5" # e.g.: Waiting 1.58860488.h5
t2d[ (subj, a, sname) ] = pts2d
return t2d
def project_to_cameras(data_dir, poses_set, cams, ncams=4):
"""
Project 3d poses to obtain 2d ones
Args:
poses_set: dictionary with 3d poses
cams: dictionary with cameras
ncams: number of cameras per subject
Return:
t2d: dictionary with 2d poses
"""
t2d = {}
for t3dk in sorted(poses_set.keys()):
subj, a, seqname = t3dk
t3d = poses_set[t3dk]
# FIXME this only works for real cameras
for cam in range(ncams):
R, T, f, c, k, p, name = cams[(subj, cam + 1)]
pts2d, _, _, _, _ = cameras.project_point_radial(
np.reshape(t3d, [-1, 3]), R, T, f, c, k, p)
pts2d = np.reshape(pts2d, [-1, 64])
sname = seqname[:-3] + "." + name + ".h5" #Waiting 1.58860488.h5
t2d[(subj, a, sname)] = pts2d
return t2d
def project_to_cameras2(poses_set,
cams,
ncams=4,
no_of_joints=len(H36M_NAMES)):
"""
Project 3d poses using camera parameters
Args
poses_set: dictionary with 3d poses
cams: dictionary with camera parameters
ncams: number of cameras per subject
Returns
t2d: dictionary with 2d poses
"""
t2d = {}
for t3dk in sorted(poses_set.keys()):
subj, a, seqname = t3dk
t3d = poses_set[t3dk]
for cam in range(ncams):
R, T, f, c, k, p, name = cams[(subj, cam + 1)]
pts2d, _, _, _, _ = cameras.project_point_radial(
np.reshape(t3d, [-1, 3]), R, T, f, c, k, p)
pts2d = np.reshape(pts2d, [-1, no_of_joints * 2])
if name not in seqname:
sname = seqname[:-3] + "." + name + ".h5" # e.g.: Waiting 1.58860488.h5
else:
sname = seqname #Sid, when this method is called for noisy data, the keys are already created and so not needed to change.
t2d[(subj, a, sname)] = pts2d
return t2d
def project_to_cameras( poses_set, cams, ncams=4 ):
"""
Project 3d poses using camera parameters
Args
poses_set: dictionary with 3d poses
cams: dictionary with camera parameters
ncams: number of cameras per subject
Returns
t2d: dictionary with 2d poses
"""
t2d = {}
for t3dk in sorted( poses_set.keys() ):
subj, a, seqname = t3dk
t3d = poses_set[ t3dk ]
for cam in range( ncams ):
R, T, f, c, k, p, name = cams[ (subj, cam+1) ]
pts2d, _, _, _, _ = cameras.project_point_radial( np.reshape(t3d, [-1, 3]), R, T, f, c, k, p )
pts2d = np.reshape( pts2d, [-1, len(H36M_NAMES)*2] )
sname = seqname[:-3]+"."+name+".h5" # e.g.: Waiting 1.58860488.h5
t2d[ (subj, a, sname) ] = pts2d
return t2d
def project_to_cameras(poses_set, cams, ncams=4):
t2d = {}
for t3d_key in sorted(poses_set.keys()):
subject, action, seq_name = t3d_key
t3d = poses_set[t3d_key]
for cam in range(ncams):
R, T, f, c, k, p, name = cams[(subject, cam + 1)]
points_2d, _, _, _, _ = cameras.project_point_radial(
np.reshape(t3d, [-1, 3]), R, T, f, c, k, p)
points_2d = np.reshape(points_2d, [-1, 64])
sname = seq_name[:-3] + '.' + name + '.h5'
t2d[(subject, action, sname)] = points_2d
return t2d
