airsonos VS albumentations

The repository https://github.com/stephen/airsonos has the code and is surprisingly accessible.

If it's just Airplay for music, you can try Airsonos: https://github.com/stephen/airsonos

This one is pretty simple. All the communication with the sonos device happens in the clear and the protocols are actually pretty well documented.

Getting good at using wireshark is a good place to start.

This project is pretty dead but I remember using it a few years ago https://github.com/stephen/airsonos

IIUC I need to run https://github.com/stephen/airsonos in order to get my Sonos system to be an option on Airplay https://s.natalian.org/2021-10-02/music.png option?

You could try running AirSonos https://github.com/stephen/airsonos to stream audio via AirPlay.

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.