Temperature softmax and 10 shape PCA regression.

natanielruiz

2017-08-12 2eb13d63b15a8ac908d6fa324c7f3d19141ca570

 code/utils.py

@@ -7,6 +7,11 @@
import math
from math import cos, sin

def softmax_temperature(tensor, temperature):
    result = torch.exp(tensor / temperature)
    result = torch.div(result, torch.sum(result, 1).unsqueeze(1).expand_as(result))
    return result

def get_pose_params_from_mat(mat_path):
    # This functions gets the pose parameters from the .mat
    # Annotations that come with the 300W_LP dataset.