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MD Shoaib Mehedi shoaibmehedi7

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shoaibmehedi7 / socialDistFull.py

Created July 20, 2021 11:38

	#socialDistancing.py


	import cv2
	import datetime
	import imutils
	import numpy as np
	from centroidtracker import CentroidTracker
	from itertools import combinations
	import math

shoaibmehedi7 / socialDistMain.py

Created July 20, 2021 11:36

	def main():
	cap = cv2.VideoCapture('/home/python/OpenCV/soacialDistanceDetect/video .mp4')

	fps_start_time = datetime.datetime.now()
	fps = 0
	total_frames = 0

	while True:
	ret, frame = cap.read()
	frame = imutils.resize(frame, width=600)

shoaibmehedi7 / vehicleDetectionFull.py

Created July 15, 2021 19:58

shoaibmehedi7 / vehicleDetection.py

Created July 15, 2021 19:56


	while ret:
	d = cv2.absdiff(frame1, frame2)
	grey = cv2.cvtColor(d, cv2.COLOR_BGR2GRAY)

	blur = cv2.GaussianBlur(grey, (5, 5), 0)

	ret, th = cv2.threshold(blur, 20, 255, cv2.THRESH_BINARY)
	dilated = cv2.dilate(th, np.ones((3, 3)))
	kernel = cv2.getStructuringElement(cv2.MORPH_ELLIPSE, (2, 2))

shoaibmehedi7 / objectDetect.py

Created July 13, 2021 00:07

	import cv2

	#img = cv2.imread('/home/pyarena/python/OpenCV/objectDetection/image1.jpg')

	cap = cv2.VideoCapture(-1)
	cap.set(3, 640)#
	cap.set(4, 480)#

	classNames = []

shoaibmehedi7 / cvFunc.py

Created July 13, 2021 00:06

	while True: #
	success, img = cap.read() #
	classIds, confs, bbox = net.detect(img, confThreshold=0.5)
	print(classIds, bbox)

	if len(classIds) != 0: #
	for classId, confidence, box in zip(classIds.flatten(), confs.flatten(), bbox):
	cv2.rectangle(img, box, color=(0, 255, 0), thickness=2)
	cv2.putText(img, classNames[classId-1].upper(), (box[0]+10, box[1]+30), cv2.FONT_HERSHEY_COMPLEX, 1, (0,255,0), 2)

shoaibmehedi7 / faceDetectModule.py

Created July 10, 2021 19:50

	import cv2

	import mediapipe as mp

	import time



	class FaceDetector():
	def __init__(self, minDetectionCon=0.5):

shoaibmehedi7 / openCV.py

Created July 10, 2021 19:47

	import cv2

	import mediapipe as mp

	import time


	cap = cv2.VideoCapture('/home/python/OpenCV/faceDetect/faceD1.mp4')

	#cap = cv2.VideoCapture(0)

shoaibmehedi7 / faceDetection.py

Created July 10, 2021 19:43

	while True:
	success, img = cap.read()

	imgRGB = cv2.cvtColor(img,cv2.COLOR_BGR2RGB)
	results = faceDetection.process(imgRGB)

	if results.detections:
	for id, detection in enumerate(results.detections):
	mpDrawing.draw_detection(img, detection)
	#print(id, detection)

shoaibmehedi7 / githubProfile.html

Created July 9, 2021 23:16

	<!doctype html>
	<html lang="en">
	<head>
	<!-- Required meta tags -->
	<meta charset="utf-8">
	<meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">

	<!-- Bootstrap CSS -->
	<link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/[email protected]/dist/css/bootstrap.min.css" integrity="sha384-TX8t27EcRE3e/ihU7zmQxVncDAy5uIKz4rEkgIXeMed4M0jlfIDPvg6uqKI2xXr2" crossorigin="anonymous">