Week 8-9: Hub auto PR merged 🥰 + New stuff 🐳

Without further ado, Let's take a look into what I've been doing for the past week!

What did I do this week?

Following up on last week's blog, I fixed a few issues and implemented the suggestions that were provided by the activeloopai community (Dyllan, Abhinav, Fariz and Ivo). Well then, my code passes all test cases and I received 4 PR approves!
The PR got merged instantly!

Without wasting any time, I started working on the next steps for Hub auto because we've got a lot planned!

Couple of things that are coming up!

Auto detect compression type

Hub auto docs

kaggle pytest fixture

Ingestion summary

and more..

I specifically targeted an issue where the code fails if the kaggle credentials aren't stored as environment variables in the system.
And then worked on a script that would auto detect the compression type of the dataset. I submitted a PR for that here. But i think I'm gonna submit another one that includes the auto detect script and the kaggle pytest fixture.

What will I do next week?

I'm going to finish up the automatic compression detection, this would enable the user to just mention the dataset he / she wishes to ingest and boom! the code will figure out the most optimal image compression type and ingest it into a Hub dataset.

Did I get stuck anywhere?

I wouldn't say I was "stuck" somewhere. I just went ahead and learned what I didn't know. I figured out the auto detection of compression and that use a fraction of my brain power hehe.