Formatting in README

Author: mrnugget

README.md

@@ -4,60 +4,60 @@
 
 1. Get OpenCV
 
-    brew tap homebrew/science
-    brew install --with-tbb opencv
+        brew tap homebrew/science
+        brew install --with-tbb opencv
 
 2. Clone this repository
 
-    git clone https://github.com/mrnugget/opencv-haar-classifier-training
+        git clone https://github.com/mrnugget/opencv-haar-classifier-training
 
 3. Put your positive images in the `./positive_images` folder and create a list
 of them:
 
-    find ./positive_images -iname "*.jpg" > positives.txt
+        find ./positive_images -iname "*.jpg" > positives.txt
 
 4. Put the negative images in the `./negative_images` folder and create a list of them:
 
-    find ./negative_images -iname "*.jpg" > negatives.txt
+        find ./negative_images -iname "*.jpg" > negatives.txt
 
 5. Create positive samples with the `bin/createsamples.pl` script and save them
 to the `./samples` folder:
 
-    perl bin/createsamples.pl positives.txt negatives.txt samples 1500\
-      "opencv_createsamples -bgcolor 0 -bgthresh 0 -maxxangle 1.1\
-      -maxyangle 1.1 maxzangle 0.5 -maxidev 40 -w 80 -h 40"
+        perl bin/createsamples.pl positives.txt negatives.txt samples 1500\
+          "opencv_createsamples -bgcolor 0 -bgthresh 0 -maxxangle 1.1\
+          -maxyangle 1.1 maxzangle 0.5 -maxidev 40 -w 80 -h 40"
 
 6. Compile the `mergevec.cpp` file in the `./src` directory:
 
-    cp src/mergevec.cpp ~/opencv-2.4.6/apps/haartraining
-    cd ~/opencv-2.4.6/apps/haartraining
-    g++ `pkg-config --libs --cflags opencv` -I. -o mergevec mergevec.cpp\
-      cvboost.cpp cvcommon.cpp cvsamples.cpp cvhaarclassifier.cpp\
-      cvhaartraining.cpp
+        cp src/mergevec.cpp ~/opencv-2.4.6/apps/haartraining
+        cd ~/opencv-2.4.6/apps/haartraining
+        g++ `pkg-config --libs --cflags opencv` -I. -o mergevec mergevec.cpp\
+          cvboost.cpp cvcommon.cpp cvsamples.cpp cvhaarclassifier.cpp\
+          cvhaartraining.cpp
 
 7. Use the compiled executable `mergevec` to merge the samples in `./samples`
 into one file:
 
-    find ./samples -name '*.vec' > samples.txt
-    ./mergevec samples.txt samples.vec
+        find ./samples -name '*.vec' > samples.txt
+        ./mergevec samples.txt samples.vec
 
 8. Start training the classifier with `opencv_traincascade`, which comes with
 OpenCV, and save the results to `./classifier`:
 
-    opencv_traincascade -data classifier -vec samples.vec -bg negatives.txt\
-      -numStages 20 -minHitRate 0.999 -maxFalseAlarmRate 0.5 -numPos 1000\
-      -numNeg 600 -w 80 -h 40 -mode ALL -precalcValBufSize 1024\
-      -precalcIdxBufSize 1024
+        opencv_traincascade -data classifier -vec samples.vec -bg negatives.txt\
+          -numStages 20 -minHitRate 0.999 -maxFalseAlarmRate 0.5 -numPos 1000\
+          -numNeg 600 -w 80 -h 40 -mode ALL -precalcValBufSize 1024\
+          -precalcIdxBufSize 1024
 
 9. Wait until the process is finished (which takes a long time — a couple of
 days probably, depending on the computer you have and how big your images are).
 
 10. Use your finished classifier!
 
-    cd ~/opencv-2.4.5/samples/c
-    chmod +x build_all.sh
-    ./build_all.sh
-    ./facedetect --cascade="~/finished_classifier.xml"
+        cd ~/opencv-2.4.5/samples/c
+        chmod +x build_all.sh
+        ./build_all.sh
+        ./facedetect --cascade="~/finished_classifier.xml"
 
 
 ## Acknowledgements