CreateSamples

Create positive image samples for haarcascade training (alternative to opencv_createsamples).

Advantages over opencv_createsamples

More control over generating a collection of positive training samples from a samll set of images. Use this app to combine folder of .png files (cutous of the object you want to classify) with transparency channel onto random background images to generate more varied positive samples.

Disadvantages

Slower than opencv_createsamples and still requires opencv_createsamples to generate .vec files. If you use this with Natashi Seo's tutorial you'll need to edit the perl script to generate only 1 file with no variation. Example:

/path/to/opecv_createsamples -bgcolor 0 -bgthresh 0 -maxxangle 0 -maxyangle 0 -maxzangle 0 -maxidev 0 -w 20 -h 20 -num 1 -img ./positive_images/yourimg.jpg -vec ./samples/yourimg.jpg.vec

Requires

• OpenCV2 for Processing
• folder of postive images, folder of negative images

Instructions

• Set the positive, negative, and output image directory
• Adjust parameters to create new version of your positive samples
• sampleWarpAmt how much to warp the images
• sampleBrtAmt how much to vary the brightness
• sampleRadAmt how much to vary the rotation