devolearn
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DevoLearn
Accelerate data driven research on embryos with deep learning models :microscope:
pip installs older version which doesn't work as in the instruction, so I added instruction to install from the source.
more info can be found [here](https://github.com/jazzband/pip-tools/#example-usage-for-pip-compile)
1. Devolearn requires `torch==1.7`, but I think it would also work with the latest versions of torch. Using the latets version of torch would make the installation much faster on...
Currently `devolearn` uses `cv2` to load and run inference on images/videos. There are faster and cleaner alternatives like `decord` and `imageio` which can be used instead.
This issue would be a tracker/conversation space for devolearn's core long term goals. Here are some of the key goals to work on: * every model should be a subclass...
Currently devolearn uses a relatively simple testing suite i.e `python3 setup.py test`. But a much cleaner alternative would be to use `pytest` for testing and `codecov` for coverage reports. **Why...
While the unit tests do cover the output types, they do not check if the outputs themselves are correct/incorrect. To do: * Use some loss function w.r.t ideal outputs and...
The current model only allows us to predict on images by providing a path. We can extend the functionality and flexibility of out module by allowing numpy arrays as arguments...
