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Shail Sheth DynamiteC

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<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width">
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<style id="jsbin-css">
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<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width">
<title>JS Bin</title>
<style id="jsbin-css">
* {
box-sizing: border-box;
font-family: sans-serif;
@DynamiteC
DynamiteC / Event_Listener_JSBINS.Txt
Created August 12, 2018 15:35
Thinkful_Event_Listener_Drills
[Cat Carousel Gist's] : https://gist.github.com/DynamiteC/61ff43b1ffa6a298f911dc060f37b041
[Return of FizzBuzz Gist's] : https://gist.github.com/DynamiteC/f0cdae68410eda1f1b7a414a48c4ec97
[Lightbulb Gist's] : https://gist.github.com/DynamiteC/0036b087867cc535ece9ee902fddd6c3
@DynamiteC
DynamiteC / SpotGenYou,js
Created September 9, 2018 15:19
Final_API_Project
This web application would comprise of three apis where user can search through spotify, can get list of youtube videos based on the music or mood as well as can get lyrics of the music with genius api, hopefully it works as it should be.
@DynamiteC
DynamiteC / idea-flow
Created September 9, 2018 15:48
Url of My IDEA FLOW
https://drive.google.com/file/d/1YiXQ0Sn-6PAUoyO_nrgkGZ_XE2uNh7a0/view?usp=sharing
@DynamiteC
DynamiteC / Cousins's Reviews
Created September 11, 2018 17:29
Reviews for NoxMood
Elder Sister:
'This thing of yours looks dulls loose the black background, Add more things for us to interract with.'
First Cousin:
'Color and Font looks cool'
@DynamiteC
DynamiteC / package.json
Last active March 28, 2019 07:51
Just a Package JSON
{
"name": "abcd",
"version": "1.0.0",
"description": "ab cd",
"main": "index.js",
"scripts": {
"test": "echo \"Error: no test specified\" && exit 1"
},
"repository": {
"type": "git",
curl "https://sandbox.xola.com/api/experiences?geo=37.7756,-122.4193,20&price=75&category=Sailing&limit=1" -u "[email protected]:ScUb97@@"
@DynamiteC
DynamiteC / remove_white_background.py
Created February 24, 2023 10:27
Remove White Background From Image
import cv2
import numpy as np
# Read the input image
img = cv2.imread('input.png')
# Convert the image to grayscale
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
# Threshold the image to create a binary mask