Mayukh Deb comments

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                                            Mayukh Deb

Colab demo requires multiple upgrades

Hi @sushmanthreddy and @alon1samuel 👋 The colab notebook's source code can be found [here](https://github.com/DevoLearn/data-science-demos/blob/master/devolearn_docs/devolearn_quickstart.ipynb). Feel free to make a PR there with the fixed notebook.

use pip-compile + requirements.in for better dependency management

sure! go ahead and make the changes 👍

tests: unit tests do not check the outputs of models

Hi @vrutikrabadia. For the segmentation model, I plan to execute the testing procedure by saving a few `.npy` files which would then be compared with the predictions with `np.allclose()`.

CI: move to pytest+codecov

@Mainakdeb any updates on integrating codecov ?

Enhancement: Allow prediction on numpy arrays present as local variable

You're right, I'm planning to add all of these functionalities through the `InferenceEngine` class [found here](https://github.com/DevoLearn/devolearn/blob/master/devolearn/base_inference_engine.py) So a more sensible thing to do now is to modify all of the...

Mayukh Deb

Colab demo requires multiple upgrades

use pip-compile + requirements.in for better dependency management

tests: unit tests do not check the outputs of models

CI: move to pytest+codecov

Enhancement: Allow prediction on numpy arrays present as local variable

Enhancement: Allow prediction on numpy arrays present as local variable

devolearn: long term vision

move to decord/imageio for reading videos/images