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Rutuparn Pawar InputBlackBoxOutput

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Live long and keep tinkering 🖖

InputBlackBoxOutput / pose.html

Created February 5, 2022 07:25

Mediapipe: Pose

	<!DOCTYPE html>
	<html>
	<head>
	<meta charset="utf-8" />
	<title>Pose</title>
	<script
	src="https://cdn.jsdelivr.net/npm/@mediapipe/[email protected]/camera_utils.js"
	crossorigin="anonymous"
	></script>
	<script

InputBlackBoxOutput / holistic.html

Created February 5, 2022 07:25

Mediapipe: Holistic

	<!DOCTYPE html>
	<html>
	<head>
	<meta charset="utf-8" />
	<title>Holistic</title>
	<script
	src="https://cdn.jsdelivr.net/npm/@mediapipe/[email protected]/camera_utils.js"
	crossorigin="anonymous"
	></script>
	<script

InputBlackBoxOutput / hands.html

Created February 5, 2022 07:24

Mediapipe: Hands

	<!DOCTYPE html>
	<html>
	<head>
	<meta charset="utf-8" />
	<title>Hands</title>
	<script
	src="https://cdn.jsdelivr.net/npm/@mediapipe/[email protected]/camera_utils.js"
	crossorigin="anonymous"
	></script>
	<script

InputBlackBoxOutput / face-mesh.html

Created February 5, 2022 07:23

Mediapipe: Face Mesh

	<!DOCTYPE html>
	<html>
	<head>
	<meta charset="utf-8" />
	<title>Face mesh</title>
	<script
	src="https://cdn.jsdelivr.net/npm/@mediapipe/[email protected]/camera_utils.js"
	crossorigin="anonymous"
	></script>
	<script

InputBlackBoxOutput / face-detection.html

Created February 5, 2022 07:23

Mediapipe: Face detection

	<!DOCTYPE html>
	<html>
	<head>
	<meta charset="utf-8" />
	<title>Face detection</title>
	<script
	src="https://cdn.jsdelivr.net/npm/@mediapipe/[email protected]/camera_utils.js"
	crossorigin="anonymous"
	></script>
	<script

InputBlackBoxOutput / segmentation.py

Created January 22, 2022 13:14

Perform skin segmentation by combining masks obtained by thresholding an image using multipe colour models

	# Perform skin segmentation by combining masks obtained by thresholding an image using multipe colour models
	# Modified from source: https://medium.com/swlh/human-skin-color-classification-using-the-threshold-classifier-rgb-ycbcr-hsv-python-code-d34d51febdf8


	import cv2
	import numpy as np
	import matplotlib.pyplot as plt

	def generate_RGB_mask(img):
	B_Frame, G_Frame, R_Frame = [img[..., BGR] for BGR in range(3)]

InputBlackBoxOutput / main.py

Last active January 29, 2022 04:46

Channel routing using the Left edge algorithm

	from router import router, plotter


	# A = ['0', 'A', 'D', 'E', 'A', 'F', 'G', '0', 'D', 'I', 'J', 'J']
	# B = ['B', 'C', 'E', 'C', 'E', 'B', 'F', 'H', 'I', 'H', 'G', 'I']

	# A = ['A', '0', 'B', 'C']
	# B = ['A', 'B', '0', 'C']

	# A = ['N1', '0', 'N2', 'N3']

InputBlackBoxOutput / yosys.py

Created January 5, 2022 13:07

Python wrapper for Yosys

	import os, re, subprocess, json

	class Yosys:
	def __init__(self, path):
	self.yosys = subprocess.Popen(
	[path, '-Q', '-T'], universal_newlines=True, stdin=subprocess.PIPE, stdout=subprocess.PIPE
	)

	def process(self, filepath, save=False):
	if not os.path.isfile(filepath):

InputBlackBoxOutput / image-utils.py

Created October 18, 2021 10:37

Functions to save and show an image in IPYNB notebooks

	import matplotlib.pyplot as plt

	def save_image(img, filename="image.png"):
	plt.plot(), plt.imshow(img)
	plt.xticks([]), plt.yticks([])
	plt.axes("off")
	plt.savefig(filename)

	def show_image(img, title="title"):
	plt.plot(), plt.imshow(img)

InputBlackBoxOutput / split.py

Created October 12, 2021 03:06

Split an image dataset into train, validation and test set for the Keras ImageDataGenerator

	import os
	import glob
	import random
	import shutil

	# Parse through the respective class directories and make a list of image file paths
	class_1 = glob.glob("class_1/*.png")
	class_1 += glob.glob("class_1/*.png")

	class_2 = glob.glob("class_2/*.png")