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Automatically detect zebrafish (eyes and yolk) using deeplearning models
After transfer of the repository from my (rkakodkar) account to CCV's github account the github workflows need to be updated so that the dockers are build in brown-ccv organization packages.
Optimize the saved models using tensorrt. This is a very simple task and probably could be implemented in a few weeks. For now we have not been running into issues where the inference time is very large, but this is a potential improvement
Currently, the installation procedure entails running a docker/singularity image. This process could potentially be simplified especially for inference tasks - by creating a standalone application that the user can download and run on their personal machine. This would be very helpful for a naive user trying to use this system.
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