def sample_random_view():
if self.cameras is None:
return meshutil.sample_view(10.0, 12.0)
else:
rand_m = self.cameras[np.random.randint(0, len(
self.cameras))]["transformToCamera"].copy()
return rand_m
def run(mesh, step_n=400):
for i in range(step_n):
fragments = renderer.render_mesh(
modelview=meshutil.sample_view(10.0, 12.0),
position=mesh['position'], uv=mesh['uv'],
face=mesh['face'])
_, loss = sess.run([train_op, [content_loss, sl.style_loss]], {t_fragments: fragments})
loss_log.append(loss)
if i==0 or (i+1)%50 == 0:
clear_output()
last_frame, last_content = sess.run([t_frame_current, t_frame_content], {t_fragments: fragments})
show.images([last_frame, last_content], ['current frame', 'content'])
if i==0 or (i+1)%10 == 0:
print(len(loss_log), loss)