Speedy Neural Networks for Smart Auto-Cropping of Images
Left: Our face detector is unable to detect cats and other objects. Right: Our new cropping mechanism is able to focus on the most interesting part of the image. Cropping using saliency A better way to crop is to focus on “salient” image regions. A region having high saliency means that a person is likely to look at it when freely viewing the image. Academics have studied and measured saliency by
BodyPix - With a Webcam Demo
The BodyPix model can estimate which pixels in an image are part of a person, and which pixels are part of each of 24 body parts. It works for multiple people in an input image or video. The internal resolution, output stride and model have the largest effects on accuracy/speed. A higher internal resolution results in higher accuracy but lower the speed. A higher output stride results in lower acc
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tfjs-models/body-pix at master · tensorflow/tfjs-models
