def imgDiffs(test_imgs,name_stem,tolerance,path):
    count = len(test_imgs)
    for idx in range(0,count):
        lhs = test_imgs[idx].applyLayers() # this catches drawing methods
        fname = standard_path+name_stem+str(idx)+".jpg"
        rhs = Image(fname)
        if( lhs.width == rhs.width and lhs.height == rhs.height ):
            diff = (lhs-rhs)
            val = np.average(diff.getNumpy())
            if( val > tolerance ):
                print val
                return True
    return False

#Save a list of images to a standard path.
dataset/ETHPy150Open sightmachine/SimpleCV/SimpleCV/tests/test_stereovision.py/imgDiffs/original