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 of devolearn.base_inference_engine.InferenceEngine
• InferenceEngine would contain some predefined (but overrideable) methods to:
  • Download model checkpoints from github source
  • Preprocess images for inference
  • Postprocess predictions for readability/saving
• devolearn.IoPipeline would contain some standardized media tools for reading and writng videos/images (might use decord/imageio for videos and cv2 for images)
• a docker based fastAPI endpoint could be created (only after the above objectives are complete). This would help us deploy the models into servers/webapps/GUIs

The picture attached below is the layout of how we want to see it ⬇️

If you have any suggestions/ideas, feel free to discuss below :)

cc: @balicea @ujjwalll