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| import cv2 | |
| import numpy as np | |
| import random | |
| from scipy.stats import norm | |
| def generate_spot_light_mask(mask_size, | |
| position=None, | |
| max_brightness=255, | |
| min_brightness=0, | |
| mode="gaussian", |
| ''' | |
| Using OpenCV takes a mp4 video and produces a number of images. | |
| Requirements | |
| ---- | |
| You require OpenCV 3.2 to be installed. | |
| Run | |
| ---- | |
| Open the main.py and edit the path to the video. Then run: |
| from PIL import Image | |
| import sys | |
| import os | |
| import math | |
| import numpy as np | |
| ########################################################################################### | |
| # script to generate moving mnist video dataset (frame by frame) as described in | |
| # [1] arXiv:1502.04681 - Unsupervised Learning of Video Representations Using LSTMs | |
| # Srivastava et al |
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