spark-deep-learning
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Support for reading higher bit-depth images
We're developing machine vision solutions for in-process monitoring of manufacturing processes, including collecting wide-field absorbance maps. The camera is 16-bit and optimized for collecting low-noise quantitative data suitable for feeding deconvolution/superresolution analysis pipelines.
We currently use OpenCV to process the images, and generate 16-bit unsigned single channel and 32-bit floating point single channel data. Both formats are supported by OpenCV.
The current implementation of ImageSchema creates only 8bit image dataframes.