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#import <UIKit/UIKit.h> | |
//Based on: https://github.com/aclissold/CardView | |
@interface CardView : UIView | |
@end |
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# This file is useful for reading the contents of the ops generated by ruby. | |
# You can read any graph defination in pb/pbtxt format generated by ruby | |
# or by python and then convert it back and forth from human readable to binary format. | |
import tensorflow as tf | |
from google.protobuf import text_format | |
from tensorflow.python.platform import gfile | |
def pbtxt_to_graphdef(filename): | |
with open(filename, 'r') as f: |
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General Nanodegree Information | |
Nanodegrees Programs: https://www.udacity.com/nanodegree | |
Nanodegree Plus (job guarantee): https://www.udacity.com/nanodegree/plus | |
UConnect (weekly in-person study sessions): https://www.udacity.com/uconnect | |
Courses on Udacity | |
Machine Learning Engineer Nanodegree by Google (Currently Available): https://www.udacity.com/course/machine-learning-engineer-nanodegree-by-google--nd009 | |
Artificial Intelligence for Robots (Free Course) https://www.udacity.com/course/artificial-intelligence-for-robotics--cs373 | |
Intro to Statistics (Free Course) https://www.udacity.com/course/intro-to-statistics--st101 | |
Deep Learning (Free Course) https://www.udacity.com/course/deep-learning--ud730 |
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import tensorflow as tf | |
import numpy as np | |
import time | |
N=10000 | |
K=4 | |
MAX_ITERS = 1000 | |
start = time.time() |
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import numpy as np | |
import cv2 | |
class BackGroundSubtractor: | |
# When constructing background subtractor, we | |
# take in two arguments: | |
# 1) alpha: The background learning factor, its value should | |
# be between 0 and 1. The higher the value, the more quickly | |
# your program learns the changes in the background. Therefore, |
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from kivy.app import App | |
from kivy.clock import Clock | |
from kivy.lang import Builder | |
from kivy.properties import NumericProperty, ListProperty | |
from kivy.uix.widget import Widget | |
KV = ''' | |
#:import chain itertools.chain | |
#:import sin math.sin | |
#:import cos math.cos |