pranjalks's profile picture. Computer Vision | Edge AI | JAX

Pranjal Srivastava

@pranjalks

Computer Vision | Edge AI | JAX

This is incredible. Each pixel in the camera captures only one colour (either red, green or blue), and the other 2 colours information is filled from the neighbouring pixels.

The debate around whether every pixel in a photo from your phone's camera is "real" misses a fundamental fact about how digital cameras have always worked for the last 20 years. The camera sensor only captures ONE color (red, green, or blue) per pixel. The rest are made up 1/4

docmilanfar's tweet image. The debate around whether every pixel in a photo from your phone's camera is "real" misses a fundamental fact about how digital cameras have always worked for the last 20 years. The camera sensor only captures ONE color (red, green, or blue) per pixel. The rest are made up

1/4


#JAX mirrors Numpy in a lot of things, but there is a change in the way it generates random numbers. Numpy uses a global RNG state, JAX doesn’t. We need to generate a PRNGKey (seed) and explicitly split it as needed. This makes randomness deterministic and easier to parallelize


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