ex-mode VS albumentations

Some years ago I was on a shitty job - not technically, but the company turned out to be inhumane - at a Ruby shop, and on the side I was toying with mini_racer and I just upgraded to some macOS beta where it failed to build. A shitty +1-1 hack† for a compiler flag later and it was back flying.

A month later I received a cold email from a CTO to chat a bit about that PR, turns out they were using mini_racer heavily and forked it for their own purpose, and also created PyMiniRacer for the Python side of things. Next thing I know I got hired. Two years later the company got acquired.

Of course conditionally adding a compiler flag wasn't what got me hired per se, it only got my profile noticed. Probably side projects such as porting go by example to Ruby by implementing a ~1:1 CSP channel API[1], an Electron desktop client for Mattermost basically on a dare[2], ex mode for the Atom editor so that I could have that frackin' `:w`[3], leveraging Blocks to bolt on object-oriented-ness onto C because "closures are a poor man's object"[4], or reverse-engineering the Xbox One USB gamepad and writing a kext to turn it into a HID device on macOS from scratch on a lonely 7+h train ride with passengers judgementally staring at me sideways[4] probably contributed to it a bit.

My takeaway: luck is when preparation meets opportunity; but don't to side projects to get hired, because if you don't get hired then that time is lost. Rather, of all things, scratch your itch, have fun, embrace whatever quirkiness you fancy; no one can take that away from you.

[0]: https://github.com/rubyjs/mini_racer/commit/2086db1bbf2b5de4...

[1]: https://github.com/lloeki/normandy

[2]: https://github.com/lloeki/matterfront

[3]: https://github.com/lloeki/ex-mode

[4]: https://github.com/lloeki/cblocks-clobj/blob/master/main.c

[5]: https://github.com/lloeki/xbox_one_controller

You can use albumentations if you are comfortable with using open source libraries https://github.com/albumentations-team/albumentations

One of the members of the core team of our open-source library https://albumentations.ai/

It was not the only reason he was hired; it was a solid addition to his already good performance at the interviews.

Or at least that is what the hiring manager later said.

I am one of the creators and maintainers of https://albumentations.ai/.

- 12800+ stars

Is something planned to support data augmentations? Something like https://albumentations.ai/

Here you go: https://albumentations.ai/

I think they should use some data augmentation techniques like I am using for Infinity AI if you wanna see more here. Note that most of these do not work for image generation.

Our second approach was a more automated one. Here the idea was to try out an image augmentation library, Albumentations, and use it for adversarial attacks. This time, instead of one-shot images, we applied the transformations at random time ranges. We chose for these transformations also to be more subtle than then one-shot images, such as vertical flips, grayscaling, downscaling, …

Check out albumentations. If your use case is segmentation, check out the offline augmentation of this project

I think this is the most popular open source project: https://github.com/albumentations-team/albumentations

You can also curate your own dataset by using open source images (https://universe.roboflow.com/search?q=faces%20images%3E1000) and open source augmentations (https://github.com/albumentations-team/albumentations). Or you can do use the augmentation UI (https://docs.roboflow.com/image-transformations/image-augmentation) to apply noise, blurring, shear, crop, etc.