10 examples of 'numpy array to pil image' in Python

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def pil_image_to_ndarray(pil_image, grayscale, num_channels):
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    ret = convert_pil(pil_image, grayscale, num_channels)
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    return np.asarray(ret, dtype=np.uint8)

290
def numpy_to_pil(nparray):
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    """
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    Numpy matrix to PIL Image.
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    """
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    return Image.fromarray(nparray)

14
def numpy_to_image(image):
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	image = image*1.0
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	# Remove VGG optimization
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	# if image.shape == (1,400,400,3):
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	if image.ndim == 4:
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		image += np.array([123.68, 116.779, 103.939]).reshape((1,1,1,3))
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		# Cut unneeded axis
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		image = image[0]
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	elif image.ndim == 3:
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	# elif image.shape == (400,400,3):
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		image += np.array([123.68, 116.779, 103.939]).reshape((1,1,3))
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	image = np.clip(image, 0,255).astype("uint8")
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	# Make grayscale
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	image_gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)	
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	return image_gray

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def convert_ndarray2image(image):
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    """ convert ndarray to PIL image if it not already
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    :param ndarray image: input image
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    :return Image: output image
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    >>> img = np.random.random((50, 50, 3))
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    >>> image = convert_ndarray2image(img)
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    >>> isinstance(image, Image.Image)
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    True
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    """
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    if isinstance(image, np.ndarray):
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        if np.max(image) <= 1.5:
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            image = image * 255
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        np.clip(image, a_min=0, a_max=255, out=image)
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        if image.ndim == 3 and image.shape[-1] < 3:
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            image = image[:, :, 0]
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        image = Image.fromarray(image.astype(np.uint8))
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    return image

9
def getImageArr(im):
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    img = im.astype(np.float32)
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    img[:, :, 0] -= 103.939
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    img[:, :, 1] -= 116.779
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    img[:, :, 2] -= 123.68
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    return img

24
def load_image_into_numpy_array(image):
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    image = preprocess_image(image)
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    (im_width, im_height) = image.size
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    return np.array(image.getdata()).reshape(
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        (im_height, im_width, 3)).astype(np.uint8)

107
def image_to_data(image):
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    """Generator function to convert a PIL image to 16-bit 565 RGB bytes."""
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    #NumPy is much faster at doing this. NumPy code provided by:
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    #Keith (https://www.blogger.com/profile/02555547344016007163)
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    pb = np.array(image.convert('RGB')).astype('uint16')
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    color = ((pb[:,:,0] & 0xF8) << 8) | ((pb[:,:,1] & 0xFC) << 3) | (pb[:,:,2] >> 3)
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    return np.dstack(((color >> 8) & 0xFF, color & 0xFF)).flatten().tolist()

37
def PILToRGB(pil_array):
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    """ convert a PIL-compatible integer into an RGB % array """
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    pil_color = tuple(pil_array)
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    hexstr = '%06x' % pil_color
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    # reverse byte order
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    r, g, b = hexstr[4:], hexstr[2:4], hexstr[:2]
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    r, g, b = [int(n, 16) for n in (r, g, b)]
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    return [r, g, b]

12
def load_image_into_numpy_array(img):
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    (im_width, im_height) = img.size
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    return np.array(img.getdata()).reshape(
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        (im_height, im_width, 3)).astype(np.uint8)

48
def img_to_np(img):
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    img = img.cpu().numpy()
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    img = np.copy(img)
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    img = np.swapaxes(img, 0, 1)
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    img = np.swapaxes(img, 1, 2)
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    return img