def harvestDir(path):

	annotations=DataFile(os.path.join(path,"annotations.json.gz"))

	imgFilter=lambda f: f.is_file() and re.match(r".*\.(jpg|jpeg|png|gif)$", f.name.lower())

	files=sorted(filter(imgFilter,os.scandir(path)),key=lambda f: f.name)

	boards=annotations["."]

	for f in files:

		img=cv.imread(f.path)

		img=cv.cvtColor(img,cv.COLOR_BGR2GRAY)

		for b in boards:

			sample=Sample(img,b.grid)

def loadDataset(root):

	testRatio=0.1

	trainRatio=1-testRatio

	images=[]

	labels=[]

	for d in traverseDirs(root):

		for (img,label) in harvestDir(d):

			images.append(img)

			labels.append(label)

	n=len(images)