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It is using Opencv and dlib based deeplearning for Face clustering
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ImageCluster.xcodeproj
ImageCluster
README.md

README.md

README

About Project

This project is created based on the learning I got form the course http://www.learnopencv.com/ it is using Opencv and dlib based deeplearning for Face cluster.

https://www.learnopencv.com/best-project-award-computer-vision-for-faces/

It is part of the final project for the course.

 What it do.

By using dlib deeplearing it will learn the peroson face present in an image and cluster out all the images from a group of images where that person face is present.
So actually it is seperating out images from group of images based of the person face it have.

alt text

If you try to run the project and you are faceing issue just look into PROJECT SETUP section else follow RUN section

RUN THE PROJECT

If you just want to run it after setup the ### version_0.2 ### has 2 features and which can be run from command line only right now. So make sure which version tag you are using to execute it.

Once run it will show options on command line

You have mutiple options to chose from.
   1. You want to Segregate all your images based on faces.

   2. If you want to segregate only images with particular person init from a group of images.
     then you need to provide 1 or 2 images of that person in a folder with the name you would like 
     to have so that system can learn which images only you want, you can also keep mutiple folder
     with different person in it to get all the images of those person only in those folder.
   3. 0 to exit the app.

Based on the option you chose you get more option.

It is more important you keep the folder path for images as mentioned in options else app will not behave as intended, its a limitation. The drag and drop for folder path is not working, its again a limitation for current version, so you need to type it or copy paste it.

PROJECT SETUP

This project can only be run using Xcode on MAC.It is having default setting considering OpencCV and Dlib is installed on the system with specific path else you need to edit the Opencv and dlib Header/ library path in build setting for the project. Which you definately need it to run the project .

OpenCV and Dlib header search path in project setting

The OpenCv 3.2.0 and dlib-19.4 version I have used for this project, higher version should also work for both

The header search path for dlib and opencv should be like this

First you need to install the Opencv on your sytem for that. Also you need build dlib file .

/usr/local/Cellar/opencv3/3.2.0

Follow these links to setup Opencv path

http://charliegerard.github.io/blog/Installing-OpenCV/

https://blogs.wcode.org/2014/11/howto-setup-xcode-6-1-to-work-with-opencv-libraries/

You should have the dlib-19.4 header in a directory and give its path like below

/Users/durgeshtrivedi/durgesh/OpenCV/dlib-19.4

OpenCv and Dlib Library search path in project setting

The library search path for Opencv is

/usr/local/Cellar/opencv3/3.2.0

The library search path for Dlib

You need to keep the libdlib.a file in lib folder inside the project dir. Which is actually part of project you no need to do any thing her actually $(PROJECT_DIR)/ImageCluster/lib

Dlib in build phase

You need to add the libdlib.a and Accelerate.framwork in link binary

You again no need to do any thing over here

OpenCv Other linker flags

add this flags

-lopencv_calib3d -lopencv_core -lopencv_features2d -lopencv_flann -lopencv_highgui -lopencv_imgcodecs -lopencv_imgproc -lopencv_ml -lopencv_objdetect -lopencv_photo -lopencv_shape -lopencv_stitching -lopencv_superres -lopencv_ts -lopencv_video -lopencv_videoio -lopencv_videostab

again you no need to add it is already there

dlib preprocess macros

To build the project properly you need to add some preprocess macro for dlib else it will not build

These 2 links will help to understand it. again you no need to do it now it is part of project . Debug

NDEBUG DDLIB_PNG_SUPPORT DDLIB_JPEG_SUPPORT DLIB_NO_GUI_SUPPORT

Release NDEBUG DDLIB_USE_LAPACK DDLIB_USE_BLAS

https://github.com/zweigraf/face-landmarking-ios/issues/7

https://github.com/RedHandTech/Object_Detector

Notes

So to make this project build properly you only need to properly give path for headers for opencv and dlib . Rest of the setting are already part of the project and they should work all the info in just for understanding if any things not work.

I have added the ziped dlib-19.4 file in extra folder in project dir you can unzip and use the path in headers for dlib.Thats should work I have not tried this way because I build dlib from source, so I think this way will work. But you must install OpenCV to run the project .

There is a Makefile available in the ImageCluster folder which compiles the program, tested on Ubuntu 18.04 and Macos Mojave (install xquartz).

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