I created a code that classifies brain MRI images into 4 classes of cancer varieties. I trained the model successfully and when I tried to create a conversion algo to convert testing images to evaluate them, I ran into a reshaping error as the following:
prediction = []
original = []
image = []
count = 0
for item in range(len(test)):
img= PIL.Image.open(test['Image'].tolist()[item])
img = img.resize((256,256))
image.append(img)
print(image[item])
img = np.asarray(img, dtype= np.float32)
img = img / 255
img = img.reshape(-1,256,256,3) #ERROR HERE
predict = model.predict(img)
print(predict)
predict = np.argmax(predict)
prediction.append(labels[predict])
original.append(test['Label'].tolist()[item])
the error:
`<ipython-input-48-747eee3f839e> in <module>
14 img = np.asarray(img, dtype= np.float32)
15 img = img / 255
---> 16 img = img.reshape(-1,256,256,3)
17 predict = model.predict(img)
18 print(predict)
ValueError: cannot reshape array of size 65536 into shape (256,256,3)`
All help is appreciated.
