52 lines
2.0 KiB
Markdown
52 lines
2.0 KiB
Markdown
# Projet ESIR MDI Docker
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## How to compile this project
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Simple example of using OpenCV in a Web application build using jersey.
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This application takes a picture using web browsers camera API (available in modern browsers)
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and runs OpenCV face recognition algorithm (using [CascadeClassifier](http://docs.opencv.org/java/org/opencv/objdetect/CascadeClassifier.html) ) for it. If a face is detected a "troll face" is added on top of it.
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This application was inspired by the ingenious ["Trollator" mobile Android application](https://play.google.com/store/apps/details?id=com.fredagapps.android.trollator).
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1. OpenCV Installation for local Maven repository
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---
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OpenCV is a native library with Java bindings so you need to install this to your system.
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- *libopencv_java300.so* installed in you java.library.path (
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- *opencv-300.jar* availble for application
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There are good instructions how to build OpenCV with Java bindings for your own platform here: http://docs.opencv.org/doc/tutorials/introduction/desktop_java/java_dev_intro.html
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Once you have built the Java library you can install the resulting jar file to your local Maven repository using
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mvn install:install-file -Dfile=./bin/opencv-300.jar \
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-DgroupId=org.opencv -DartifactId=opencv -Dversion=3.0.0 -Dpackaging=jar
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2. Building this application
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----
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Once OpenCV jar library is available as a local Maven dependency, you can clone and build this application simply using Git and Maven:
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mvn install
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And run the application using the embedded Jetty plugin in http://localhost:8888
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mvn package
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java -Djava.library.path=/home/barais/git/opencv/build/lib/ -jar target/fatjar-0.0.1-SNAPSHOT.jar
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# Do not forget to update the path to your opencv install in Main.java
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If you fork this repo, to be up to date.
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```sh
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git remote add upstream https://github.com/barais/projetWE
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git fetch upstream
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git checkout master
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git merge upstream/master
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```
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