feat:将图像处理库从PIL改为OpenCV以优化性能

file.py

@@ -1,9 +1,10 @@
-import shutil, os, zipfile, io
+import shutil, os, zipfile, io, cv2, numpy as np
+
 import db.file, app_conf
-from PIL import Image
 
 app_conf = app_conf.conf()
 
+
 def init():
     paths = ("inputdir", "storedir", "tmpdir")
     for path in paths:
@@ -66,27 +67,14 @@ def raedZip(bookid: str, index: int):
         return str(e), ""
 
 
-def thumbnail(input,size=(420,600)):
+def thumbnail(input, minSize: int = 600):
-    im = Image.open(io.BytesIO(input))
+    img = cv2.imdecode(np.frombuffer(input, np.uint8), cv2.IMREAD_COLOR)
-    del input
+    height = img.shape[0]  # 图片高度
-    newimg = im.convert('RGB')
+    width = img.shape[1]  # 图片宽度
-    im.close()
+    if height < width:
-    newimg.thumbnail(size)
+        newshape = (int(minSize / width * height), minSize)
-    output_io = io.BytesIO()
+    else:
-    newimg.save(output_io,format='WEBP')
+        newshape = (minSize, int(minSize / width * height))
-    newimg.close()
+    img = cv2.resize(img, newshape)
-    output_io.seek(0)
+    success, encoded_image = cv2.imencode(".webp", img, [cv2.IMWRITE_WEBP_QUALITY, 75])
-    return output_io
+    return encoded_image.tobytes()
-
-def imageToWebP(input,size=(2100,3000)):
-    with Image.open(io.BytesIO(input)) as img:
-        newimg = img.convert('RGB')
-        img.close()
-        output_io = io.BytesIO()
-        newimg.thumbnail(size)
-        newimg.save(output_io,format='WEBP')
-        newimg.close()
-        output_io.seek(0)
-    return output_io
-    
-    

requirements.txt

@@ -1,3 +1,3 @@
 shortuuid
 flask
-Pillow
+opencv-python

web/api_Img.py

@@ -18,7 +18,7 @@ def img(bookid, index):  # 图片接口
     if request.args.get("mini") == "yes":
         data = file.thumbnail(data)
     else:
-        data = file.imageToWebP(data)
+        data = file.thumbnail(data,2400)
     response = make_response(data)  # 读取文件
     del data
     response.headers.set("Content-Type", "image/Webp")