albumentations
Picnic CSS
albumentations | Picnic CSS | |
---|---|---|
28 | 8 | |
13,451 | 3,772 | |
1.1% | - | |
8.9 | 1.9 | |
2 days ago | 10 months ago | |
Python | CSS | |
MIT License | MIT License |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
albumentations
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Augment specific classes?
You can use albumentations if you are comfortable with using open source libraries https://github.com/albumentations-team/albumentations
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Ask HN: What side projects landed you a job?
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.
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The Lack of Compensation in Open Source Software Is Unsustainable
I am one of the creators and maintainers of https://albumentations.ai/.
- 12800+ stars
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Burn Deep Learning Framework Release 0.7.0: Revamped (de)serialization, optimizer & module overhaul, initial ONNX support and tons of new features.
Is something planned to support data augmentations? Something like https://albumentations.ai/
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How to label augmented images for training YOLO algorithm?
Here you go: https://albumentations.ai/
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Unstable Diffusion bounces back with $19,000 raised in one day, by using Stripe
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.
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Tokyo Drift : detecting drift in images with NannyML and Whylogs
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, …
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[D] Improve machine learning with same number of images
Check out albumentations. If your use case is segmentation, check out the offline augmentation of this project
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What are the best programs/scripts for image augmentation of YOLO5 training dataset. Something like roboflow but free)
I think this is the most popular open source project: https://github.com/albumentations-team/albumentations
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To get dataset for face image restoration.
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.
Picnic CSS
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Ask HN: What side projects landed you a job?
This was about 10 years ago, where there was Bootstrap, Pure CSS and little more, so I published:
https://picnicss.com/
It went to the front page of Hacker News (https://news.ycombinator.com/item?id=8315616). At the time I was a student in Spain doing coding just for fun, so any job-related opportunity would be slim and with really bad pay (I had actually already worked a bit as a dev for a pittance).
Someone contacted me and offered some really fun freelancing projects for what at the time seemed like an absurdly ridiculous large amount of money, so much that I got a great designer friend involved and split the money so the project would be even better.
I learned many things from that and as my curiosity pumped me to keep learning. I read about cases of people making 500k+/year as "normal" devs (meaning, not managers, and also not famous). Most of my Spanish peers didn't even believe that existed at the time, and thought I was crazy believing those "obviously fake" blog posts. But I've been working for USA companies basically since then, and couldn't be happier/wouldn't look back.
- Picnic CSS – A beautiful CSS library to kickstart your projects
- CSS Only Navigation tutorial
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Show HN: Neat, the Minimalist CSS Framework
Picnic CSS:
https://picnicss.com/
My own and one of the older ones, almost 10 years ago, see the original Show HN:
https://news.ycombinator.com/item?id=8315616
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v8.0.2 is live!
Added support for Picnic CSS
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🚀20 Best CSS3 Library For Developers.
2. Picnic.css
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CSS Deep
franciscop/picnic - 👜 A beautiful CSS library to kickstart your projects
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Open-source, not open-contribution
I've disabled Issues in some of my more popular but end-user libraries and I couldn't be happier. Specially notorious was a CSS library[1] where many of the issues were on the level of "hey can you give me the code for X" or "how do you do X" where X was a general CSS question and not related to the library at all. I've received a bit of hate when I closed some of my repos issues as a PR [2][3]:
> If you spot a bug or any other issue you may go to hell because this software is officially Bug Free(TM).
> part of offering these to the public through open software is maintaining them and allowing feedback from users.
> It seems umbrella.js project suffers the same desease.
I've noticed there was a strong push around 2016-2018 to recommend newbie programmers NOT to go to Stackoverflow, but instead to ask the questions straight in the Github issues. Turns out, the problem was low quality questions and not the medium at all, and that just converted an issue that StackOverflow had solved long ago into burnout for open source developers on Github.
There's so many entitled developers out there that will come and demand changes. Github needs to step up their game and give authors more powerful tools. It might make new devs feel less welcome, but the balance is tipped way too much to allow anyone to create massive spam for projects right now.
[1] https://picnicss.com/
[2] https://github.com/franciscop/picnic/pull/203/files
[3] https://github.com/franciscop/picnic/pull/202
What are some alternatives?
imgaug - Image augmentation for machine learning experiments.
Milligram - A minimalist CSS framework.
YOLO-Mosaic - Perform mosaic image augmentation on data for training a YOLO model
UI kit - A lightweight and modular front-end framework for developing fast and powerful web interfaces
labelme2coco - A lightweight package for converting your labelme annotations into COCO object detection format.
Primer - The CSS design system that powers GitHub
autoalbument - AutoML for image augmentation. AutoAlbument uses the Faster AutoAugment algorithm to find optimal augmentation policies. Documentation - https://albumentations.ai/docs/autoalbument/
Bootstrap - The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.
Mask-RCNN-TF2 - Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow 2.0
humane-js - A simple, modern, browser notification system
BlenderProc - A procedural Blender pipeline for photorealistic training image generation
fancyInput - Makes typing in input fields fun with CSS3 effects