I need a face aging web application for the web browser.
The webapplication should identify the users face in realtime on a video stream (in our case a webcam or camera)
and apply an aging filter that can be selected by a dropdown on the screen. The user should be able to pick different
levels of decades (e.g. 10, 20, 30, 40 years) and then the filter should apply the predicted aging filter on his
face in real-time. The Filter should also apply when the user moves his head.
Technically you may use a frame in the browser window, where the camera stream is shown and the user can see his face.
Then a face detection library should be used, where landmarks of the face are recognized.
With a pretrained model you should be able to apply the aging filter by reference to the landmarks.
The camera data should be fed back to the model making it more accurate.
A face detection framework like [login to view URL], clmtrackr or the liking, a machine learning lib like tensorflow.js.
Please provide a solution approach with your offer.
The model should be build upon applying the cGAN like:
[login to view URL]
25 freelancer chào giá trung bình€1311 cho công việc này
Hi. i read your description and understand your requirements. i complete similar projects in past. Contact me to discuss in details and i share my previous work and explain how it works. Best regards MJK.