darkflow VS awesome-object-detection

Compare darkflow vs awesome-object-detection and see what are their differences.

darkflow

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices (by thtrieu)

awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html (by amusi)
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darkflow awesome-object-detection
2 1
6,126 7,245
- -
0.0 10.0
6 months ago over 1 year ago
Python
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.
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

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.

awesome-object-detection

Posts with mentions or reviews of awesome-object-detection. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-30.

What are some alternatives?

When comparing darkflow and awesome-object-detection you can also consider the following projects:

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

make-sense - Free to use online tool for labelling photos. https://makesense.ai

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

ImageAI - A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

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/