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Figure out the largest background component with pixel at center of image. Use that to define the region of interest that will focus color processing for the background to only those regions. Add masking operation to either pre-processor or post-processor. Figure out how we should save this in the YAML file so that it works out. Likewise, the data needs to be stored in a config file (most likely HDR).
Get largest background based on connected component processing. [Done using skimage]
Address classification noise. [Done using temporal accumulation via logical and]
figure out where to save / how to save.
figure out how to specify configuration in YAML.
ultimately also needs mechanism to integrate into greater system. last two bullets might be part of that rather than standalone implementation. will involve choreographing the calibration process (do this, do that, blah blah blah).
The text was updated successfully, but these errors were encountered:
Figure out the largest background component with pixel at center of image. Use that to define the region of interest that will focus color processing for the background to only those regions. Add masking operation to either pre-processor or post-processor. Figure out how we should save this in the YAML file so that it works out. Likewise, the data needs to be stored in a config file (most likely HDR).
The text was updated successfully, but these errors were encountered: