pknowledge’s gists

pknowledge / opencv_Background_Subtraction.py

Created December 9, 2019 23:15

How to Use Background Subtraction Methods in Python Opencv

	import numpy as np
	import cv2 as cv
	cap = cv.VideoCapture('vtest.avi')
	#kernel = cv.getStructuringElement(cv.MORPH_ELLIPSE, (3,3))
	fgbg = cv.bgsegm.createBackgroundSubtractorMOG()
	#fgbg = cv.bgsegm.BackgroundSubtractorGMG()
	#fgbg = cv.createBackgroundSubtractorMOG2(detectShadows=True)
	#fgbg = cv.createBackgroundSubtractorKNN(detectShadows=True)
	while True:
	ret, frame = cap.read()

pknowledge / Autobin.cpp

Created October 28, 2019 16:37

Arduino smart Dustbin

	dd///
	///
	/// NOTICE: We SHOULD supply 5.0 Voltage to SERVO run stably
	///
	///

	#include <Servo.h> //servo library
	Servo servo;
	int trigPin = 5;
	int echoPin = 6;

pknowledge / Shi_Tomasi_Corner_Detector_OpenCV.py

Created October 2, 2019 22:27

Shi_Tomasi_Corner_Detector_OpenCV

	import numpy as np
	import cv2 as cv

	img = cv.imread('pic1.png')

	gray = cv.cvtColor(img, cv.COLOR_BGR2GRAY)

	corners = cv.goodFeaturesToTrack(gray, 100, 0.01, 10)

	corners = np.int0(corners)

pknowledge / Harris_Corner_Detector_in_OpenCV.py

Created October 1, 2019 22:49

Harris Corner Detector in OpenCV

	import numpy as np
	import cv2 as cv

	img = cv.imread('chessboard_img.png')

	cv.imshow('img', img)
	gray = cv.cvtColor(img, cv.COLOR_BGR2GRAY)

	gray = np.float32(gray)
	dst = cv.cornerHarris(gray, 2, 3, 0.04)

pknowledge / text_file_to_speech.py

Created September 10, 2019 20:57

TEXT TO SPEECH IN PYTHON | Convert Text to Speech in Python

	# Import the Gtts module for text
	# to speech conversion
	from gtts import gTTS

	# import Os module to start the audio file
	import os

	fh = open("test.txt", "r")
	myText = fh.read().replace("\n", " ")

pknowledge / eye_detection.py

Created September 7, 2019 15:38

OpenCV Python Tutorial For Beginners - Eye Detection Haar Feature based Cascade Classifiers f

	import cv2

	face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
	eye_cascade = cv2.CascadeClassifier('haarcascade_eye_tree_eyeglasses.xml')
	cap = cv2.VideoCapture('test.mp4')

	while cap.isOpened():
	_, img = cap.read()
	gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
	faces = face_cascade.detectMultiScale(gray, 1.1, 4)

pknowledge / face_detection.py

Created September 4, 2019 23:22

Face Detection in using OpenCV & Python with Face Detection using Haar Cascades

	import cv2

	face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
	# Read the input image
	#img = cv2.imread('test.png')
	cap = cv2.VideoCapture('test.mp4')

	while cap.isOpened():
	_, img = cap.read()

pknowledge / detecting_circles_using_hough_circle_transform.py

Created September 3, 2019 21:37

Circle Detection using OpenCV Hough Circle Transform

	import numpy as np
	import cv2 as cv
	img = cv.imread('smarties.png')
	output = img.copy()
	gray = cv.cvtColor(img, cv.COLOR_BGR2GRAY)
	gray = cv.medianBlur(gray, 5)
	circles = cv.HoughCircles(gray, cv.HOUGH_GRADIENT, 1, 20,
	param1=50, param2=30, minRadius=0, maxRadius=0)
	detected_circles = np.uint16(np.around(circles))
	for (x, y ,r) in detected_circles[0, :]:

pknowledge / detector.py

Created August 31, 2019 15:24

OpenCV Python Tutorial For Beginners - Road Lane Line Detection with OpenCV (Part 3)

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

	def region_of_interest(img, vertices):
	mask = np.zeros_like(img)
	#channel_count = img.shape[2]
	match_mask_color = 255
	cv2.fillPoly(mask, vertices, match_mask_color)
	masked_image = cv2.bitwise_and(img, mask)

pknowledge / detector.py

Created August 25, 2019 16:29

OpenCV Python Tutorial For Beginners - Road Lane Line Detection with OpenCV (Part 2)

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

	def region_of_interest(img, vertices):
	mask = np.zeros_like(img)
	#channel_count = img.shape[2]
	match_mask_color = 255
	cv2.fillPoly(mask, vertices, match_mask_color)
	masked_image = cv2.bitwise_and(img, mask)