Spaces:
Runtime error
Runtime error
"""This module contains simple helper functions """ | |
from __future__ import print_function | |
import torch | |
import numpy as np | |
import os | |
import imageio | |
def tensor2im(input_image, imtype=np.uint8): | |
""""Converts a Tensor array into a numpy image array. | |
Parameters: | |
input_image (tensor) -- the input image tensor array | |
imtype (type) -- the desired type of the converted numpy array | |
""" | |
if not isinstance(input_image, np.ndarray): | |
if isinstance(input_image, torch.Tensor): # get the data from a variable | |
image_tensor = input_image.data | |
else: | |
return input_image | |
image_numpy = image_tensor[0].cpu().float().numpy() # convert it into a numpy array | |
if image_numpy.shape[0] == 1: # grayscale to RGB | |
image_numpy = np.tile(image_numpy, (3, 1, 1)) | |
image_numpy = (np.transpose(image_numpy, (1, 2, 0)) + 1) / 2.0 * 255.0 # post-processing: tranpose and scaling | |
else: # if it is a numpy array, do nothing | |
image_numpy = input_image | |
return image_numpy.astype(imtype) | |
def tensor2array(value_tensor): | |
"""Converts a Tensor array into a numpy | |
:param value_tensor: | |
:return: | |
""" | |
if value_tensor.dim() == 3: | |
numpy = value_tensor.view(-1).cpu().float().numpy() | |
else: | |
numpy = value_tensor[0].view(-1).cpu().float().numpy() | |
return numpy | |
def save_image(image_numpy, image_path): | |
"""Save a numpy image to the disk | |
Parameters: | |
image_numpy (numpy array) -- input numpy array | |
image_path (str) -- the path of the image | |
""" | |
if image_numpy.shape[2] == 1: | |
image_numpy = image_numpy.reshape(image_numpy.shape[0], image_numpy.shape[1]) | |
imageio.imwrite(image_path, image_numpy) | |
def mkdirs(paths): | |
"""create empty directories if they don't exist | |
Parameters: | |
paths (str list) -- a list of directory paths | |
""" | |
if isinstance(paths, list) and not isinstance(paths, str): | |
for path in paths: | |
mkdir(path) | |
else: | |
mkdir(paths) | |
def mkdir(path): | |
"""create a single empty directory if it didn't exist | |
Parameters: | |
path (str) -- a single directory path | |
""" | |
if not os.path.exists(path): | |
os.makedirs(path) |