问题
Using base64 encoding on images gives the opportunity to fully restore the image to its original shape, with all its dimension (2D, RGB) without knowing the resolutions directly - they are stored inside the base64 information
However, when I have a numpy array representing an image like:
test_image = np.random.rand(10,10,3)
and then put it into base64 with:
b64_test_image = base64.b64encode(test_image)
I am able to get back to the content of the array with:
decoded = base64.b64decode(b64_test_image)
test_image_1D = np.frombuffer(decoded)
However, test_image_1D is only one-dimensional in comparison to the orignal image which had the dimension 10x10x3. Is it possible to restore the orignal array without knowing the buffer size, like it is the case with images?
回答1:
Assuming your data is always an image, you need to use a library to get the image back from the base64 encoded string. For example with OpenCV:
retval, buffer = cv2.imencode('.jpg', test_image)
jpg_as_text = base64.b64encode(buffer)
nparr = np.fromstring(base64.b64decode(jpg_as_text), np.uint8)
img2 = cv2.imdecode(nparr, cv2.IMREAD_COLOR)
来源：https://stackoverflow.com/questions/49735187/restoring-a-numpy-array-representing-an-image-after-base64-encoding