##PIL读取、保存图片方法
from PIL import Image
img = Image.open(img_path)
img.save(img_path2)
 
 
##cv2读取、保存图片方法
import cv2
img = cv2.imread(img_path)
cv2.imwrite(img_path2, img)
 
 
##图片文件打开为base64
import base64
 
def img_base64(img_path):
  with open(img_path,"rb") as f:
    base64_str = base64.b64encode(f.read())
  return base64_str 

##PIL转cv2
import cv2
from PIL import Image
import numpy as np
 
def pil_cv2(img_path):
  image = Image.open(img_path)
  img = cv2.cvtColor(np.asarray(image),cv2.COLOR_RGB2BGR)
  return img
 
 
##cv2转PIL
import cv2
from PIL import Image
 
def cv2_pil(img_path):
  image = cv2.imread(img_path)
  image = Image.fromarray(cv2.cvtColor(image,cv2.COLOR_BGR2RGB))
  return image

##PIL转base64
import base64
from io import BytesIO
 
def pil_base64(image):
  img_buffer = BytesIO()
  image.save(img_buffer, format='JPEG')
  byte_data = img_buffer.getvalue()
  base64_str = base64.b64encode(byte_data)
  return base64_str
 
 
##base64转PIL
import base64
from io import BytesIO
from PIL import Image
 
def base64_pil(base64_str):
  image = base64.b64decode(base64_str)
  image = BytesIO(image)
  image = Image.open(image)
  return image

##cv2转base64
import cv2
 
def cv2_base64(image):
  base64_str = cv2.imencode('.jpg',image)[1].tostring()
  base64_str = base64.b64encode(base64_str)
  return base64_str 
 
 
##base64转cv2
import base64
import numpy as np
import cv2
 
def base64_cv2(base64_str):
  imgString = base64.b64decode(base64_str)
  nparr = np.fromstring(imgString,np.uint8) 
  image = cv2.imdecode(nparr,cv2.IMREAD_COLOR)
  return image