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import warnings | |
from skimage.measure import compare_ssim | |
from skimage.transform import resize | |
from scipy.stats import wasserstein_distance | |
from scipy.misc import imsave | |
from scipy.ndimage import imread | |
import numpy as np | |
import cv2 | |
## |
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import torch | |
import torch.nn as nn | |
import torch.nn.functional as F | |
import torchvision.models as tmodels | |
from functools import partial | |
import collections | |
# dummy data: 10 batches of images with batch size 16 | |
dataset = [torch.rand(16,3,224,224).cuda() for _ in range(10)] |
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import cv2 | |
import numpy as np | |
import argparse | |
''' | |
usage: python click_heatmap.py <image file> | |
left-click: add point to heatmap | |
s: save image (000.png, 001.png, ...) | |
q: quit | |
r: reset |
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