Facial Landmarks

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Instructions
Input - Click on the “+” button in the video player and upload a decent resolution video with less than 40mb.
Output - Provides an image or a video with 68 face landmarks points drawn on the face and their coordinates over a time in JSON format.
Note: Upload the appropriate video for optimal performance. Video that doesn't relate to the model might provide you unexpected results

Through radical computer vision techniques, the facial points of a person’s face are tracked to predict and track behaviours over the time. In the example of a facial-landmark applied on a human face, facial landmarks are a face geometry solution that estimates (x,y) location of 68 2D landmarks for each detected face in an image or a video. These key points can be used to determine a person's identification to emotions. The application draws points on detected faces and semantically links them in real time.

The facial landmarks are becoming more and more prominent intermittently to understand human psychology and their behaviours in public or private places, few countries have started identifying their citizens at various checkpoints and tracking their activities.

Use Cases

Human Emotion Classification, Human Attention Recognition, Identification, Medical Face Alignments, Other Medical Conditions.

API Request and Response

TensorGo Platform provides you with a one stop solution to customize the our API offerings as per your use case by mixing and matching the existing APIs or requesting for a new custom model. This accelerates the development of use cases with minimal or no code towards deep learning applications.
The endpoint for API is:
[URL]
Request:
post/
[URL]
	body:{
		id:”Some Unique  ID”
		app:”Name of the app”
		file:”Attached File”
             }
Example:
post/
	[URL]
	body:{
		id:xsk231ds168wd
		app:facialLandmarks
		file:”Attached File”
             }

Response:
	{ msg:Uploaded }

Download the Uploaded video:
get/
	[URL]
	body:{
		id:xsk231ds168wd
		app:facialLandmarks
             }