BigsnarfDude bigsnarfdude

## app2.js
<div>Teachable Machine Image Model</div>
<button type="button" onclick="init()">Start</button>
<div id="webcam-container"></div>
<div id="label-container"></div>
<script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs@1.3.1/dist/tf.min.js"></script>
<script src="https://cdn.jsdelivr.net/npm/@teachablemachine/image@0.8/dist/teachablemachine-image.min.js"></script>
<script type="text/javascript">
    // More API functions here:
    // https://github.com/googlecreativelab/teachablemachine-community/tree/master/libraries/image

## app.js
<div>Teachable Machine Image Model</div>
<button type="button" onclick="init()">Start</button>
<div id="webcam-container"></div>
<div id="label-container"></div>
<script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs@1.3.1/dist/tf.min.js"></script>
<script src="https://cdn.jsdelivr.net/npm/@teachablemachine/image@0.8/dist/teachablemachine-image.min.js"></script>
<script type="text/javascript">
    // More API functions here:
    // https://github.com/googlecreativelab/teachablemachine-community/tree/master/libraries/image

## app.js
<div>Teachable Machine Image Model</div>
<button type="button" onclick="init()">Start</button>
<div id="webcam-container"></div>
<div id="label-container"></div>
<script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs@1.3.1/dist/tf.min.js"></script>
<script src="https://cdn.jsdelivr.net/npm/@teachablemachine/image@0.8/dist/teachablemachine-image.min.js"></script>
<script type="text/javascript">
    // More API functions here:
    // https://github.com/googlecreativelab/teachablemachine-community/tree/master/libraries/image

## gist:a37b6e447d43e2476712644a7e081414
https://www.usafmarathon.com/wp-content/uploads/2017/09/170916-F-AV193-1299.jpg
https://arxiv.org/abs/1910.05085
http://openaccess.thecvf.com/content_CVPRW_2019/html/CVSports/Liu_Pose-Guided_R-CNN_for_Jersey_Number_Recognition_in_Sports_CVPRW_2019_paper.html
https://www.reddit.com/r/MachineLearning/comments/dmiybr/d_suggestion_for_multidigit_number_recognitionocr/

## pdConcat.py
import pandas as pd
from glob import glob

raw_files = sorted(glob('files*.csv'))

pd.concat((pd.read_csv(singleFile).assign(filename=singleFile) for singleFile in raw_files), ignore_index=True)

## gist:132732d1fc6a1f343f9bcd420f265d03
https://github.com/tensorflow/tfjs/issues/822

## extractor.py
from slimit.parser import Parser
from slimit.visitors import nodevisitor
from slimit import ast
import re


def check_code_sanity(sequence):
    parser = Parser()
    tree = parser.parse(sequence)
    for node in nodevisitor.visit(tree):

## whammy.js
/*
	var vid = new Whammy.Video();
	vid.add(canvas or data url)
	vid.compile()
*/

window.Whammy = (function(){
	// in this case, frames has a very specific meaning, which will be
	// detailed once i finish writing the code

## tester.py
import cv2

cap = cv2.VideoCapture('test.webm')

i=0
while(cap.isOpened()):
    ret, frame = cap.read()
    if ret == False:
        break
    cv2.imwrite('tester'+str(i)+'.jpg',frame)

## index.html
<!DOCTYPE html>
<html>
<head>

    <meta charset="utf-8">
    <meta name="description" content="WebRTC code samples">
    <meta name="viewport" content="width=device-width, user-scalable=yes, initial-scale=1, maximum-scale=1">
    <meta itemprop="description" content="Client-side WebRTC code samples">
    <meta itemprop="image" content="../../../images/webrtc-icon-192x192.png">
    <meta itemprop="name" content="WebRTC code samples">