99991
/ image_alignment.py
Created
July 12, 2023 07:39
Example on how to use OpenCV's image alignment/image registration module https://docs.opencv.org/4.8.0/db/d61/group__reg.html
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| import cv2 | |
| import numpy as np | |
| import urllib.request | |
| import os | |
| # Download Tsukuba stereo test images | |
| urls = [ | |
| "https://vision.middlebury.edu/stereo/data/scenes2001/data/tsukuba/scene1.row3.col1.ppm", | |
| "https://vision.middlebury.edu/stereo/data/scenes2001/data/tsukuba/scene1.row3.col2.ppm", | |
| ] |
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| #!/usr/bin/env python3 | |
| """Total variation denoising.""" | |
| import argparse | |
| import time | |
| import numpy as np | |
| from PIL import Image | |
| from scipy.linalg import blas |
karpathy
/ min-char-rnn.py
Last active
May 8, 2025 09:24
Minimal character-level language model with a Vanilla Recurrent Neural Network, in Python/numpy
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| """ | |
| Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy) | |
| BSD License | |
| """ | |
| import numpy as np | |
| # data I/O | |
| data = open('input.txt', 'r').read() # should be simple plain text file | |
| chars = list(set(data)) | |
| data_size, vocab_size = len(data), len(chars) |