Dog/Cat passport photo
111 USDRequirement: provide an app for veterinarian to easily take "passport" style photo of a pet (cat/dog).
The problem: cats and dogs tend to move and do not sit still while the photo is taken.
Application solution: Create an app that will feed-in a video and output the best 3 frontal face frames found in it.
Technical task description:
1. Prepare a TensorFlow model that does the following.
For frame given, detect if a full face (frontal - two eyes) of a cat or dog present. Return a square crop of the face, class and confidence.
2. Enhance the model to work with video feed.
The result at any time should 0-3 frames (square crop, class confidence) with the top confidence.
3. Convert the models to TensorFlow light
Expected classification accuracy 0.9+
Deliverable:
1. Trained model in TensorFlow and TensorFlow light format
2. All the code used to train the model
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