feat 新增接口描述 docs页面 ，新增S3 图片get upload 操作，整理代码

fix

app/service/design/items/pipelines/loading.py

@@ -1,12 +1,5 @@
-import io
-import logging
-
 import cv2
-import numpy as np
-from PIL import Image
-from minio import Minio
 
-from app.core.config import *
 from app.service.utils.oss_client import oss_get_image
 from ..builder import PIPELINES
 
@@ -17,11 +10,7 @@ class LoadImageFromFile(object):
         self.path = path
         self.color = color
         self.print_dict = print_dict
-        self.minio_client = Minio(
-            f"{MINIO_URL}",
-            access_key=MINIO_ACCESS,
-            secret_key=MINIO_SECRET,
-            secure=MINIO_SECURE)
+        # self.minio_client = Minio(f"{MINIO_URL}", access_key=MINIO_ACCESS, secret_key=MINIO_SECRET, secure=MINIO_SECURE)
 
     def __call__(self, result):
         result['image'], result['pre_mask'] = self.read_image(self.path)
@@ -53,11 +42,13 @@ class LoadImageFromFile(object):
                            f"bag, shoes, hairstyle, earring.")
         return keypoint
 
-    def read_image(self, image_path):
+    @staticmethod
+    def read_image(image_path):
         image_mask = None
-        file = self.minio_client.get_object(image_path.split("/", 1)[0], image_path.split("/", 1)[1]).data
-        image = cv2.imdecode(np.frombuffer(file, np.uint8), 1)
+        # file = self.minio_client.get_object(image_path.split("/", 1)[0], image_path.split("/", 1)[1]).data
+        # image = cv2.imdecode(np.frombuffer(file, np.uint8), 1)
 
+        image = oss_get_image(bucket=image_path.split("/", 1)[0], object_name=image_path.split("/", 1)[1], data_type="cv2")
         if len(image.shape) == 2:
             image = cv2.cvtColor(image, cv2.COLOR_GRAY2RGB)
         if image.shape[2] == 4:  # 如果是四通道 mask