def fullTest():
trainImages, labels, testImages = loadImages()
per = Perceptron(64, 8, 8)
per.train(trainImages, labels, 10000)
results = per.test(testImages)
print(results)
def fullTest():
trainImages, labels, testImages = loadImages()
per = Perceptron(64, 8, 8)
per.train(trainImages, labels, 10000)
results = per.test(testImages)
for image, result in zip(testImages, results):
cv2.imshow("test", image * 255)
print(result)
cv2.waitKey(0)
print(results)