@crackwitz Thanks for your comment and sharing. The .npy file is the result of the code (shared in previous post) with ‘.astype’
Host application flow
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Data format
- The actual data frame I am getting is in yuv2 format (2 byte).
- converting it to Y16 (raw) using opencv python application (shared)
- with no RGB, it gives me Y16 raw gray format.
-
Data order
- reshape it to 680*240
- frame array type uint16.
- byte shift (big endian order) & shape (340*240)
- applied medianBlur (clean dead pixels)
- bit shift (ROI) (in case work to being clean image)
- normalization with uint8
It shows grayscale pattern with very very light shadow of the image (ex. hand). I tried it with CLAHE too to clear the contrast but nothing much improved. I didn’t apply any of the gain settings now.
Please suggest~
Best Regards.