duhaime’s gists

## index.html
<html>
<head>
  <style>
  html, body { width: 100%; height: 100%; background: #000; }
  body { margin: 0; overflow: hidden; }
  canvas { width: 100%; height: 100%; }
  </style>
</head>
<body>
  <script src='https://cdnjs.cloudflare.com/ajax/libs/three.js/92/three.min.js'></script>

## helvetiker_bold.typeface.json
{"glyphs":{"ο":{"x_min":0,"x_max":764,"ha":863,"o":"m 380 -25 q 105 87 211 -25 q 0 372 0 200 q 104 660 0 545 q 380 775 209 775 q 658 659 552 775 q 764 372 764 544 q 658 87 764 200 q 380 -25 552 -25 m 379 142 q 515 216 466 142 q 557 373 557 280 q 515 530 557 465 q 379 607 466 607 q 245 530 294 607 q 204 373 204 465 q 245 218 204 283 q 379 142 294 142 "},"S":{"x_min":0,"x_max":826,"ha":915,"o":"m 826 306 q 701 55 826 148 q 423 -29 587 -29 q 138 60 255 -29 q 0 318 13 154 l 208 318 q 288 192 216 238 q 437 152 352 152 q 559 181 506 152 q 623 282 623 217 q 466 411 623 372 q 176 487 197 478 q 18 719 18 557 q 136 958 18 869 q 399 1040 244 1040 q 670 956 561 1040 q 791 713 791 864 l 591 713 q 526 826 583 786 q 393 866 469 866 q 277 838 326 866 q 218 742 218 804 q 374 617 218 655 q 667 542 646 552 q 826 306 826 471 "},"¦":{"x_min":0,"x_max":143,"ha":240,"o":"m 143 462 l 0 462 l 0 984 l 143 984 l 143 462 m 143 -242 l 0 -242 l 0 280 l 143 280 l 143 -242 "},"/":{"x_min":196.109375,"x_max":632.5625,"ha":828,"o":"m 632 1040

## 000630070000650-words.json
[{"y1": 0.1001984126984127, "y0": 0.07787698412698413, "x0": 0.0875, "x1": 0.20625}, {"y1": 0.09871031746031746, "y0": 0.07539682539682539, "x0": 0.2294642857142857, "x1": 0.3580357142857143}, {"y1": 0.09226190476190477, "y0": 0.07539682539682539, "x0": 0.3794642857142857, "x1": 0.4544642857142857}, {"y1": 0.09176587301587301, "y0": 0.07490079365079365, "x0": 0.47946428571428573, "x1": 0.5303571428571429}, {"y1": 0.09722222222222222, "y0": 0.07490079365079365, "x0": 0.5553571428571429, "x1": 0.6455357142857143}, {"y1": 0.09077380952380952, "y0": 0.07341269841269842, "x0": 0.66875, "x1": 0.7026785714285714}, {"y1": 0.09077380952380952, "y0": 0.07242063492063493, "x0": 0.7223214285714286, "x1": 0.775}, {"y1": 0.09077380952380952, "y0": 0.07291666666666667, "x0": 0.7973214285714286, "x1": 0.8366071428571429}, {"y1": 0.12202380952380952, "y0": 0.10119047619047619, "x0": 0.08839285714285715, "x1": 0.15982142857142856}, {"y1": 0.11656746031746032, "y0": 0.10119047619047619, "x0": 0.1732142857142857, "x1": 0.1866071

## 001060020000660.jpg

      
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              duhaime
            / 001060020000660.jpg
          
          
            Last active Apr 18, 2018
          
          
            Similar Image Browser
          
        
      View 001060020000660.jpg
  
    
## find_similar.py
from nltk import ngrams
from glob import glob
from datasketch import MinHash, MinHashLSHForest
import json

##
# Config
##

perm = 256

## nest.py
import os
import glob

for i in range(10):
  for j in range(10):
    for k in range(10):
      outdir = '/'.join([str(l) for l in [i,j,k]])
      if not os.path.exists(outdir):
        os.makedirs(outdir)

## internet-use.gif

      
              1 file
            
          
              0 forks
            
          
              0 comments
            
          
              0 stars
            
          
              duhaime
            / internet-use.gif
          
          
            Last active Apr 7, 2018
          
          
            Internet Use Gif
          
        
      View internet-use.gif
  
    
## c3.min.css
.c3 svg{font:10px sans-serif;-webkit-tap-highlight-color:transparent}.c3 line,.c3 path{fill:none;stroke:#000}.c3 text{-webkit-user-select:none;-moz-user-select:none;user-select:none}.c3-bars path,.c3-event-rect,.c3-legend-item-tile,.c3-xgrid-focus,.c3-ygrid{shape-rendering:crispEdges}.c3-chart-arc path{stroke:#fff}.c3-chart-arc rect{stroke:#fff;stroke-width:1}.c3-chart-arc text{fill:#fff;font-size:13px}.c3-grid line{stroke:#aaa}.c3-grid text{fill:#aaa}.c3-xgrid,.c3-ygrid{stroke-dasharray:3 3}.c3-text.c3-empty{fill:grey;font-size:2em}.c3-line{stroke-width:1px}.c3-circle._expanded_{stroke-width:1px;stroke:#fff}.c3-selected-circle{fill:#fff;stroke-width:2px}.c3-bar{stroke-width:0}.c3-bar._expanded_{fill-opacity:1;fill-opacity:.75}.c3-target.c3-focused{opacity:1}.c3-target.c3-focused path.c3-line,.c3-target.c3-focused path.c3-step{stroke-width:2px}.c3-target.c3-defocused{opacity:.3!important}.c3-region{fill:#4682b4;fill-opacity:.1}.c3-brush .extent{fill-opacity:.1}.c3-legend-item{font-size:12px}.c3-legend-item-hi

## slide.py
import numpy as np

def get_windows(arr, window_size=64, step=32):
  windows = []
  row = 0
  col = 0
  max_row, max_col = arr.shape
  while row < max_row:
    while col < max_col:
      windows.append(arr[row:row+window_size, col:col+window_size])

## measure_img_similarity.py
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

##