def outliner_transform(in_path,out_path,dims=0):
def helper(frames):
pclouds=[ nonzero_points(frame_i) for frame_i in frames]
pclouds=normalize(pclouds)
new_frames=[get_proj(pcloud_i,dims) for pcloud_i in pclouds]
action_img=np.mean(new_frames,axis=0)
action_img[action_img >0]=100
return action_img
transform=[helper,smooth_proj,scale]
imgs.action_img(in_path,out_path,transform)#,single_frame=False)
def action_exp(in_path,out_path,use_agum=False):
files.make_dir(out_path)
paths= get_paths(out_path,["action","agum"])
def helper(frames):
action_img=np.mean(frames,axis=0)
return action_img#.astype('uint8')
fun=[helper,proj.Scale()]
imgs.action_img(in_path,paths["action"],fun)
if(use_agum):
agum_fun=agum.action.get_action_agum()
agum_fun(paths["action"],paths["agum"])
def diff_img(in_path, out_path):
fun = [mean_y, get_rescale(96, 64)]
imgs.action_img(in_path, out_path, fun)
def outliner_action_img(in_path, out_path):
helper = BuildActionImg([outliner_proj(0), outliner_proj(2), sub_sample])
imgs.action_img(in_path, out_path, helper)
def simple_action(in_path, out_path):
def helper(frames):
print(len(frames))
return np.mean(frames, axis=0)
imgs.action_img(in_path, out_path, helper)