filmov
tv
FACE RECOGNITION WITH WEBCAM AND IMAGE FILE | Python 3.8 with OPEN CV | Windows 10
Показать описание
Demo on Face Recognition using WEBCAM and IMAGE FILE with Python 3.8 with face_recognition and Open CV Python on Windows 10.
⭐ Kite is a free AI-powered coding assistant that will help you code faster and smarter. The Kite plugin integrates with all the top editors and IDEs to give you smart completions and documentation while you’re typing. I've been using Kite for 6 months and I love it!
OK! So let's start off with our first example code that we have,
For a simple image-based face recognition, where you have to just feed the image of the person, and see if we get the face recognized.
I hope all of you have seen part 2 of the face recognition video
Where we had worked with face recognition using a video file as an input.
the only difference here is instead of the video, we will use a webcam, and remember that when executing this program or code, your Webcam should not be running already.
By Using OPEN CV and PYTHON, we render the INPUT video feed with cv2.VideoCapture (Here our input is our WEBCAM and not the video file)
Here i am just giving this as an example, so think this video to be the feed that is coming from the WEBCAM,
and then VideoCapture actually reads and generates each frame every time from the feed of the webcam until we stop it.
And for each frame that we generate using open cv, we repeat the encoding process using face recognition to generate the facial points.
Then we take this encoded frame and compare it with the encoded frame from our encoding step 1, based on the desired tolerance value.
And if there is a match, then we create a frame and a name text, so that we can show that as a part of the frame.
Recognize and manipulate faces from Python or from the command line with the world’s simplest face recognition library.
Built using dlib’s state-of-the-art face recognition built with deep learning.
Credits for the Developers : Author: Adam Geitgey
Stay tuned to the channel. Please hit a like and subscribe if you haven't already.
🍀Links for Users:
AWS Solutions Architect Associate Certification 2020 Playlist:
Please follow we in the links below to stay updated: 🙌
Disclaimer: The content provided in the channel are not affiliated in any way to the organization. We provide information here on the channel based on the knowledge we have on the topic. We advise our viewers to please do their own research and read more about them from the source provided by the organization to get a better outlook on the topic that has been covered.
These videos are just to provide you a platform to learn, and there can be mistakes and we are always trying to improve based on your feedback. we recommend viewers to have an open mind. Please support the channel to get more content like these in the future.
#FaceRecognition #InstallFaceRecognitionWithPython #Webcam
⭐ Kite is a free AI-powered coding assistant that will help you code faster and smarter. The Kite plugin integrates with all the top editors and IDEs to give you smart completions and documentation while you’re typing. I've been using Kite for 6 months and I love it!
OK! So let's start off with our first example code that we have,
For a simple image-based face recognition, where you have to just feed the image of the person, and see if we get the face recognized.
I hope all of you have seen part 2 of the face recognition video
Where we had worked with face recognition using a video file as an input.
the only difference here is instead of the video, we will use a webcam, and remember that when executing this program or code, your Webcam should not be running already.
By Using OPEN CV and PYTHON, we render the INPUT video feed with cv2.VideoCapture (Here our input is our WEBCAM and not the video file)
Here i am just giving this as an example, so think this video to be the feed that is coming from the WEBCAM,
and then VideoCapture actually reads and generates each frame every time from the feed of the webcam until we stop it.
And for each frame that we generate using open cv, we repeat the encoding process using face recognition to generate the facial points.
Then we take this encoded frame and compare it with the encoded frame from our encoding step 1, based on the desired tolerance value.
And if there is a match, then we create a frame and a name text, so that we can show that as a part of the frame.
Recognize and manipulate faces from Python or from the command line with the world’s simplest face recognition library.
Built using dlib’s state-of-the-art face recognition built with deep learning.
Credits for the Developers : Author: Adam Geitgey
Stay tuned to the channel. Please hit a like and subscribe if you haven't already.
🍀Links for Users:
AWS Solutions Architect Associate Certification 2020 Playlist:
Please follow we in the links below to stay updated: 🙌
Disclaimer: The content provided in the channel are not affiliated in any way to the organization. We provide information here on the channel based on the knowledge we have on the topic. We advise our viewers to please do their own research and read more about them from the source provided by the organization to get a better outlook on the topic that has been covered.
These videos are just to provide you a platform to learn, and there can be mistakes and we are always trying to improve based on your feedback. we recommend viewers to have an open mind. Please support the channel to get more content like these in the future.
#FaceRecognition #InstallFaceRecognitionWithPython #Webcam
Комментарии