affnet VS darkflow

Compare affnet vs darkflow and see what are their differences.

affnet

Code and weights for local feature affine shape estimation paper "Repeatability Is Not Enough: Learning Discriminative Affine Regions via Discriminability" (by ducha-aiki)

darkflow

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices (by thtrieu)
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affnet darkflow
1 2
261 6,130
- -
0.0 0.0
almost 2 years ago 5 months ago
Python Python
MIT License GNU General Public License v3.0 only
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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affnet

Posts with mentions or reviews of affnet. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning affnet yet.
Tracking mentions began in Dec 2020.

darkflow

Posts with mentions or reviews of darkflow. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-30.
  • FOSS self-hosted image-to-text gpu accelerated object recognition ? Is there anything on the table yet ?
    6 projects | /r/selfhosted | 30 Mar 2023
    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?
    7 projects | /r/haskell | 29 Jun 2022
    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.

What are some alternatives?

When comparing affnet and darkflow you can also consider the following projects:

saliency - Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).

awesome-object-detection - Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

resnet1d - PyTorch implementations of several SOTA backbone deep neural networks (such as ResNet, ResNeXt, RegNet) on one-dimensional (1D) signal/time-series data.

yolo-tf2 - yolo(all versions) implementation in keras and tensorflow 2.x

PixelLib - Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/

gluon-cv - Gluon CV Toolkit

webdriver - A Haskell client for the Selenium WebDriver protocol.

YOLOv3_TensorFlow - Complete YOLO v3 TensorFlow implementation. Support training on your own dataset.

hardnet - Hardnet descriptor model - "Working hard to know your neighbor's margins: Local descriptor learning loss"

salsa

open-lpr - Open Source and Free License Plate Recognition Software

pytorch-metric-learning - The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.