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Face Recognition
Giuliano Catrambone edited this page Jan 25, 2019
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The FaceRecognition Task receives a video as input and generates, depending on the Output parameter
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another video (an avi video using h264 as codec without audio) that it is a copy of the input video where all the faces are highlighed with a circle or a rectangle
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OR an image for each face met inside the input video. All these ingested images could be used to train the deep learned model to identify (so not just recognize) the face inside a video. In this scenario, it is possible to tag all the images ingested and use them in the FaceIdentification Task to identify the faces.
- command details (HTTP POST)
- Face recognition JSON format (body of the POST)
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Here follows some examples (body of the POST)
- simple (JSON example)
- tutorial videos: https://www.youtube.com/@CatraMMS/videos
- support email: [email protected]
- info email: [email protected]
- MMS GUI: https://mms-gui.catramms-cloud.com/catramms
- REST MMS API: https://app.swaggerhub.com/apis-docs/giulianoc/MediaManagementService
- API base URL: https://mms-api.catramms-cloud.com/catramms/1.0.1/...
- Delivery URL (authorization by parameter): https://delivery.catramms-cloud.com/catramms/1.0.1/...
- Delivery URL (authorization by path): https://delivery-path.catramms-cloud.com/catramms/1.0.1/...
- Push binary URL: https://binary.catramms-cloud.com/catramms/1.0.1/...
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Tutorial
- User registration
- Add content - Pull
- Add content, on success send an email
- Two Tasks (Add content) to be executed in parallel
- Add a set of video encoding profiles
- Add two contents, send an email, concat, cut and encode
- Add a single image profile (Logo)
- Add a video, an image, encode the image, overlay the encoded image on the video
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Workflow Ingestion
Workflow As Library
Add-Remove Content
Delivery
Social Network Delivery
Encoding (video-audio-image)
Media activities
Overlay
Frame Processing
Recorder
Communication
Utilities
Computer Vision