Hi,
I am trying to visualize an amass example using its body_pose, root_orient and translation parameters. It looks like the video that I get from the rendering tool has some camera movements. It is not just the body that is moving in the space, but also the camera. I feed all these three parameters as items in the body_params dictionary.
Is that normal to see camera movements here?
`
def render_smpl_params(bm, body_parms, trans=None, rot_body=None, bg_color='white', body_color='neutral'):
'''
:param bm: pytorch body model with batch_size 1
:param pose_body: Nx21x3
:param trans: Nx3
:param betas: Nxnum_betas
:return: N x 400 x 400 x 3
'''
imw, imh = 400, 400
base_trans = [0, 0.5, 3.0]
mv = MeshViewer(width=imw, height=imh, use_offscreen=True)
mv.set_cam_trans(base_trans)
mv.set_background_color(color=bg_color)
faces = c2c(bm.f)
v = c2c(bm(**body_parms).v)
T, num_verts = v.shape[:-1]
images = []
for fIdx in range(T):
verts = v[fIdx]
if rot_body is not None:
verts = rotateXYZ(verts, rot_body)
color_type = body_color
color = np.ones_like(verts) * np.array(colors[color_type])[None, :]
mesh = trimesh.base.Trimesh(verts, faces, vertex_colors=num_verts*colors['grey'])
mv.set_meshes([mesh], 'static')
rendered = mv.render()
images.append(rendered)
return np.array(images).reshape(T, imw, imh, 3)`
Hi, I am trying to visualize an amass example using its body_pose, root_orient and translation parameters. It looks like the video that I get from the rendering tool has some camera movements. It is not just the body that is moving in the space, but also the camera. I feed all these three parameters as items in the body_params dictionary. Is that normal to see camera movements here? `