darkflow
plakakia
| darkflow | plakakia | |
|---|---|---|
| 2 | 5 | |
| 6,128 | 10 | |
| - | - | |
| 0.0 | 7.1 | |
| 7 months ago | 3 months ago | |
| Python | Python | |
| GNU General Public License v3.0 only | GNU General Public License v3.0 only |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
darkflow
-
FOSS self-hosted image-to-text gpu accelerated object recognition ? Is there anything on the table yet ?
https://github.com/amusi/awesome-object-detection https://mmdetection.readthedocs.io/en/latest/index.html https://github.com/thtrieu/darkflow https://github.com/OlafenwaMoses/ImageAI https://github.com/dmlc/gluon-cv https://github.com/aim-uofa/AdelaiDet/ https://github.com/aim-uofa/AdelaiDet/blob/master/configs/FCOS-Detection/README.md https://github.com/wizyoung/YOLOv3_TensorFlow
-
Does the Haskell client for Selenium still work?
You could already tell from my earlier comment, but I don't think Python is a good language, for anything really. It is used for AI so that today's hardware performs like hardware we had twenty years ago: https://github.com/thtrieu/darkflow/issues/904 Python code has slow execution speed. It is not always the Selenium which is slow. sometimes we need to look at code we are using. And Python is always the slowest programming language out there in terms of performance. It's also just a stupid language that annoys me and it's the same with other people: https://medium.com/nerd-for-tech/python-is-a-bad-programming-language-2ab73b0bda5 With Python, I find it a bit too easy to write sloppy code. Haskell on the other hand really forces you to break the problem done and abstract out reusable code. That's not to say that you can't write nice code in Python, just that Haskell doesn't let you get away with doing a lot of stupid stuff. This is equally important for Selenium.
plakakia
- [P] Plakakia (tiles in Greek) is an image tiling library I made for quickly generating tiles from images. It would be great if people try it and give some feedback / raise issues on github. It's the first open-source library I ever made, so hopefully I learn from more experienced people.
- Plakakia (tiles in Greek) is an image tiling library I made for quickly generating tiles from images. It would be great if people try it and give some feedback / raise issues on github. It's the first open-source library I ever made, so hopefully I learn from more experienced people.
What are some alternatives?
saliency - Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).
pytorch-toolbelt - PyTorch extensions for fast R&D prototyping and Kaggle farming
awesome-object-detection - Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html
fastdup - fastdup is a powerful free tool designed to rapidly extract valuable insights from your image & video datasets. Assisting you to increase your dataset images & labels quality and reduce your data operations costs at an unparalleled scale.
resnet1d - PyTorch implementations of several SOTA backbone deep neural networks (such as ResNet, ResNeXt, RegNet) on one-dimensional (1D) signal/time-series data.
albumentations - Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
webdriver - A Haskell client for the Selenium WebDriver protocol.
YOLOv3_TensorFlow - Complete YOLO v3 TensorFlow implementation. Support training on your own dataset.
gluon-cv - Gluon CV Toolkit
yolo-tf2 - yolo(all versions) implementation in keras and tensorflow 2.x
open-lpr - Open Source and Free License Plate Recognition Software
PixelLib - Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/