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AI-Toolbox

Introduction

Algorithm Engineer Toolbox, for the purpose of quickly iterating new ideas.

This repository is a flexible toolbox that contains many independent algorithm demos. It is designed to improve the efficiency of the work, choose the algorithm demo you interested in, and slightly modify it to quickly verify your ideas.

At present, the project is still in the initial stage, mainly covering algorithms in the field of image processing and computer vision, later will cover algorithms in other fields such as natural language processing and machine learning. continue to update...

AI-Toolbox visualization

Here is a visualization of some of the algorithms involved in the toolbox.

Quickly browse through the toolbox for the algorithm that you interested in.

All sample images used are for research purposes only and will be deleted immediately if infringement occurs. Have fun~

digital image processing
FFT for image encryption	SIFT for match	selective search	None	None

classification CNN
VGG	GoogLeNet	ResNet	DenseNet

Applications of CNN
Face Recognition	None	None	None	None

preprocess Tools
KeyFrame Extract	Data Augmentation	Data Annotation	Image Spyder	None

Algorithm checklist

Is this AI-Toolbox useful for you?

Here is a list shows which algorithms are included in our toolbox, you can check.

CNN
- basic exercise
  - parameter adjustment exercise(keras)
- classification
  - VGG
  - GoogleNet
  - ResNet(Keras), ResNet(Tensorflow)
  - DenseNet
  - multi label classification
- object detection
  - RCNN
  - YOLO
- face recognition
  - face detection(base on Dlab)
  - face recognition(base on FaceNet)
digital image processing
- feature point detection
  - SIFT
- frequency domain method
  - FFT
- image segmentation
  - selective search
preprocess tools

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].

Stars: ✭ 230

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