------------------------------------------------------------------------ import cv2 as cv capture = cv.VideoCapture(0, cv.CAP_DSHOW) while True: isTrue,frame = capture.read() cv.imshow('Video',frame) if cv.waitKey(20) & 0xFF==ord('d'): break capture.release() cv.destroyAllWindows() -------------------------------------- OpenCV Video Capturing Error : CvCapture_MSMF::initStream Failed to set mediaType (stream 0, (640x480 @ 30) MFVideoFormat_RGB24(unsupported media type) import cv2 video = cv2.VideoCapture(0) Error : [ WARN:0] global C:\Users\appveyor\AppData\Local\Temp\1\pip-req-build-oduouqig\opencv\modules\videoio\src\cap_msmf.cpp (682) CvCapture_MSMF::initStream Failed to set mediaType (stream 0, (640x480 @ 30) MFVideoFormat_RGB24(unsupported media type) Solution : Adding the " CAP_DSHOW " argument after 0 in the video capture import cv2 video = cv2.VideoCapture(0, cv2.CAP_DSH
sital 1SP11cs Let try it with another testing image. This time we will test it with an image of Bill Gates. As we can see the result is False and the distance is much higher than before indicating a bad match. Attendance Project Now using the methods we have seen above, we will develop an attendance system where the user is automatically logged when they are detected in the camera. We will store the name along with the time when they appeared. Importing Images As we have imported before we can use the same face_recognition.load_image_file() function to import our images. But when we have multiple images, importing them individually can become messy. Therefore we will write a script to import all images in a given folder at once. For this we will need the os library so we will import that first. We will store all the images in one list and their names in another. 1 2 3 4 import face_recognition import cv2 import numpy as np import os 1 2 3 4 5 6 7 8 9 path = 'ImagesAttendan
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