An Object Detection Framework Using HOG And SVM

##AUTHOR - Anmol Sharma

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#Description of Files and Folders

    genfiles - FOLDER - Will contain SVM models that are trained on different training sets
	    specified by the naming scheme of different folders in which they 
	    will be stored. For example - 
	
	    svmlight_24   -  contains SVM model trained on 24x24 positive and
	                     negative images. This model is not trained using 
	                     hard negatives.

    svmlight_64   -  contains SVM model trained on 64x64 positive and 
        			       negative images. This model is not trained using 
        			       hard negatives.
    
    svmlight_24hn  - contained SVM model trained on 24x24 positive and
	         negative images. This model is also trained on a 
	         number of hard negatives obtained from a road video
	         and few from indoor scenes.

    svmlight_24hn_test - this folder will be used for storing test SVM models
		     which is not finalized and for prototyping purposes. 

    libsvm - FOLDER - should contain the libsvm.h header file. 

    nbproject - FOLDER - contains some important files that are used to configure the 
                        HOG training process. 

    pos - FOLDER - should contain positive images for training. 

    neg - FOLDER - should contain negative images for training. 

    sidefiles - FOLDER - contains some screenshots on how to set up this code. Useless.

    svmlight - FOLDER - contains important svmlight header files. These files were downloaded
				               from official website and then make build here. 

    test - FOLDER - should contain test data if required. 

    buildcode_main.sh - SHELL SCRIPT - Used to build the project using main.cpp as main file.

    buildcode_train.sh - SHELL SCRIPT - Used to build the project using main_train.cpp as main file.

    buildcode_prototype - SHELL SCRIPT - Used to build the project using main_prototype as main file.

    main_train.cpp - CPP FILE - Should contain the main training code to get training files, train an 
	                     SVM classifier and save the model to genfiles. 

    main.cpp - CPP FILE - Should contain the main code to test a pre-trained classifier ideally trained 
                        using main_train.cpp

    main_prototype.cpp - CPP FILE - Should contain prototype code in case user doesn't want to mess up 
		                  with main.cpp branch. 

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###HOW TO BUILD CODE

Open terminal. Write: chmod +x <name_of_build_file>
example: chmod +x buildcode_main.sh
./buildcode_main.sh