How to convert a PIL Image into a numpy array?

Question

Alright, I\'m toying around with converting a PIL image object back and forth to a numpy array so I can do some faster pixel by pixel transformations than PIL\'s Pixel

Answer 1

If your image is stored in a Blob format (i.e. in a database) you can use the same technique explained by Billal Begueradj to convert your image from Blobs to a byte array.

In my case, I needed my images where stored in a blob column in a db table:

def select_all_X_values(conn):
    cur = conn.cursor()
    cur.execute("SELECT ImageData from PiecesTable")    
    rows = cur.fetchall()    
    return rows

I then created a helper function to change my dataset into np.array:

X_dataset = select_all_X_values(conn)
imagesList = convertToByteIO(np.array(X_dataset))

def convertToByteIO(imagesArray):
    """
    # Converts an array of images into an array of Bytes
    """
    imagesList = []

    for i in range(len(imagesArray)):  
        img = Image.open(BytesIO(imagesArray[i])).convert("RGB")
        imagesList.insert(i, np.array(img))

    return imagesList

After this, I was able to use the byteArrays in my Neural Network.

plt.imshow(imagesList[0])