本文介紹如何仔PIL和OpenCV之間圖像數(shù)據(jù)的轉(zhuǎn)換，因?yàn)橛袝r(shí)候在圖片處理速度上PIL會(huì)更勝一籌，現(xiàn)在這個(gè)轉(zhuǎn)換方法寫成一個(gè)函數(shù)，以便它轉(zhuǎn)換具有灰度或 alpha 通道的圖像。

PIL圖像數(shù)據(jù)格式轉(zhuǎn)換成OpenCV圖像數(shù)據(jù)格式

1，使用cv2轉(zhuǎn)換色彩的方法

import numpy as np
import cv2

def pil2cv(PIL_image):
    ''' PIL型 -> OpenCV型 '''
    cv2_image = np.array(PIL_image, dtype=np.uint8)
    if cv2_image.ndim == 2:  # 黑白
        pass
    elif cv2_image.shape[2] == 3:  # 彩色的3通道
        new_image = cv2.cvtColor(cv2_image, cv2.COLOR_RGB2BGR)
    elif cv2_image.shape[2] == 4:  # 包含透明的4通道
        cv2_image = cv2.cvtColor(cv2_image, cv2.COLOR_RGBA2BGRA)
    return cv2_image

2，不 使用cv2轉(zhuǎn)換色彩的方法

import numpy as np

def pil2cv(PIL_image):
    ''' PIL型 -> OpenCV型 '''
    cv2_image = np.array(PIL_image, dtype=np.uint8)
    if cv2_image.ndim == 2:  # 黑白
        pass
    elif cv2_image.shape[2] == 3:  # 彩色的3通道
        cv2_image = cv2_image[:, :, ::-1]
    elif cv2_image.shape[2] == 4:  # 包含透明的4通道
        cv2_image = cv2_image[:, :, [2, 1, 0, 3]]

    return cv2_image

OpenCV圖像數(shù)據(jù)格式轉(zhuǎn)換成PIL圖像數(shù)據(jù)格式

1，使用cv2轉(zhuǎn)換色彩的方法

from PIL import Image
import cv2

def cv2pil(cv2_image):
    ''' OpenCV型 -> PIL型 '''
    pil_image = cv2_image.copy()
    if pil_image.ndim == 2:  # 黑白
        pass
    elif pil_image.shape[2] == 3:   # 彩色的3通道
        pil_image = cv2.cvtColor(pil_image, cv2.COLOR_BGR2RGB)
    elif pil_image.shape[2] == 4:  # 包含透明的4通道
        pil_image = cv2.cvtColor(pil_image, cv2.COLOR_BGRA2RGBA)

    pil_image = Image.fromarray(pil_image)
    return pil_image

2，不使用cv2轉(zhuǎn)換色彩的方法

from PIL import Image

def cv2pil(cv2_image):
    ''' OpenCV型 -> PIL型 '''
    pil_image = cv2_image.copy()
    if pil_image.ndim == 2:   # 黑白
        pass
    elif pil_image.shape[2] == 3:   # 彩色的3通道
        pil_image = pil_image[:, :, ::-1]
    elif pil_image.shape[2] == 4:  # 包含透明的4通道
        pil_image = pil_image[:, :, [2, 1, 0, 3]]
    pil_image = Image.fromarray(new_pil_imageimage)
    return pil_image

審核編輯：劉清