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import datetime | |
import sys | |
import librosa | |
def scores(longer, shorter): | |
scores = [] | |
for i in range(len(longer) - len(shorter)): | |
print('\r{}/{}\033[K'.format(i, len(longer) - len(shorter)), end='') |
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using System.Collections.Generic; | |
using System.Linq; | |
using System; | |
class LRUCache<K, V> | |
where K : IComparable | |
{ | |
private int Size; | |
private List<KeyValuePair<K, V>> Values; |
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#include <iostream> | |
#include <string> | |
template<class T> class Pod { | |
protected: | |
virtual void OnReceive(T msg) {} | |
void Send(T msg) { | |
Pod<T>* x = this; |
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#include <string.h> | |
#include <stdio.h> | |
#include <unistd.h> | |
#define TEST(name, assert) { \ | |
printf(name); \ | |
for(int i=strlen(name); i<40-6; i++){ \ | |
printf(" "); \ | |
} \ |
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import cv2 | |
import numpy | |
cam = cv2.VideoCapture('in.mp4') | |
old = cv2.cvtColor(cam.read()[1], cv2.COLOR_BGR2GRAY) | |
matstack = numpy.identity(3) | |
matlog = [] |
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import itertools | |
import glob | |
import cv2 | |
import numpy | |
def make_bg(fname): | |
vid = cv2.VideoCapture(fname) |
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import glob | |
import cv2 | |
import numpy | |
if __name__ == '__main__': | |
IMG_SIZE = (3648, 2736) | |
size = (6, 4) |
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import random | |
import cv2 | |
import numpy | |
cascade = cv2.CascadeClassifier('/usr/local/Cellar/opencv3/HEAD/share/OpenCV/haarcascades/haarcascade_frontalface_alt.xml') | |
cam = cv2.VideoCapture(0) |
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import time | |
import cv2 | |
import numpy | |
SCREEN_SIZE = (1024, 768) | |
cam = cv2.VideoCapture(0) |
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import time | |
import cv2 | |
import numpy | |
cam = cv2.VideoCapture(0) | |
def take_photo(): |