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import io | |
import cv2 | |
from PIL import Image as pilImage | |
import numpy as np | |
import numpy.typing as npt | |
from base64 import b64encode | |
__all__ = ["Convert"] | |
class Convert: | |
def cv_to_pil(img: np.ndarray) -> pilImage.Image: | |
result = img.copy() | |
if result.ndim == 2: # grayscale | |
pass | |
else: | |
assert result.ndim == 3 | |
if result.shape[2] == 3: # rgb | |
result = cv2.cvtColor(result, cv2.COLOR_BGR2RGB) | |
elif result.shape[2] == 4: # rgba | |
result = cv2.cvtColor(result, cv2.COLOR_RGBA2BGRA) | |
else: | |
raise ValueError | |
return pilImage.fromarray(result) | |
def pil_to_cv(img: pilImage.Image | npt.NDArray[np.uint8]) -> np.ndarray: | |
if type(img) is pilImage.Image: | |
result = np.array(img, dtype=np.uint8) | |
elif type(img) is np.ndarray: | |
pass | |
else: | |
raise TypeError | |
if result.ndim == 2: # grayscale | |
pass | |
else: | |
assert result.ndim == 3 | |
if result.shape[2] == 3: # rgb | |
result = cv2.cvtColor(result, cv2.COLOR_RGB2BGR) | |
elif result.shape[2] == 4: # rgba | |
result = cv2.cvtColor(result, cv2.COLOR_RGBA2BGRA) | |
else: | |
raise ValueError | |
return result | |
def cv_to_base64(img: np.ndarray) -> str: | |
return Convert.pil_to_base64(Convert.cv_to_pil(img)) | |
def pil_to_base64(img: pilImage.Image | npt.NDArray[np.uint8]) -> str: | |
if type(img) is pilImage.Image: | |
pass | |
elif type(img) is np.ndarray: | |
img = pilImage.fromarray(img.astype('uint8')) | |
else: | |
raise TypeError | |
# https://stackoverflow.com/a/59583262/13797085 | |
file_object = io.BytesIO() | |
img.save(file_object, 'PNG') | |
base64img = "data:image/png;base64," \ | |
+ b64encode(file_object.getvalue()).decode('ascii') | |
return base64img | |