diff --git a/kinit-api/utils/file/aliyun_oss.py b/kinit-api/utils/file/aliyun_oss.py
index 8e73de4..910cabe 100644
--- a/kinit-api/utils/file/aliyun_oss.py
+++ b/kinit-api/utils/file/aliyun_oss.py
@@ -14,7 +14,6 @@ from oss2.models import PutObjectResult
 from core.exception import CustomException
 from core.logger import logger
 from utils import status
-from utils.file.compress.cpressJPG import compress_jpg_png
 from utils.file.file_manage import FileManage
 from utils.file.file_base import FileBase
 
@@ -47,13 +46,12 @@ class AliyunOSS(FileBase):
         self.bucket = oss2.Bucket(auth, bucket.endpoint, bucket.bucket)
         self.baseUrl = bucket.baseUrl
 
-    async def upload_image(self, path: str, file: UploadFile, compress: bool = False, max_size: int = 10) -> str:
+    async def upload_image(self, path: str, file: UploadFile, max_size: int = 10) -> str:
         """
         上传图片
 
         :param path: path由包含文件后缀，不包含Bucket名称组成的Object完整路径，例如abc/efg/123.jpg。
         :param file: 文件对象
-        :param compress: 是否压缩该文件
         :param max_size: 图片文件最大值，单位 MB，默认 10MB
         :return: 上传后的文件oss链接
         """
@@ -61,14 +59,7 @@ class AliyunOSS(FileBase):
         await self.validate_file(file, max_size, self.IMAGE_ACCEPT)
         # 生成文件路径
         path = self.generate_static_file_path(path, file.filename)
-        if compress:
-            # 压缩图片
-            file_path = await FileManage.async_save_temp_file(file)
-            new_file = compress_jpg_png(file_path, originpath=os.path.abspath(file_path))
-            with open(new_file, "rb") as f:
-                file_data = f.read()
-        else:
-            file_data = await file.read()
+        file_data = await file.read()
         return await self.__upload_file_to_oss(path, file_data)
 
     async def upload_video(self, path: str, file: UploadFile, max_size: int = 100) -> str:
diff --git a/kinit-api/utils/file/compress/__init__.py b/kinit-api/utils/file/compress/__init__.py
deleted file mode 100644
index e69de29..0000000
diff --git a/kinit-api/utils/file/compress/cpressJPG.py b/kinit-api/utils/file/compress/cpressJPG.py
deleted file mode 100644
index 62a73ae..0000000
--- a/kinit-api/utils/file/compress/cpressJPG.py
+++ /dev/null
@@ -1,52 +0,0 @@
-from PIL import Image, ExifTags  # 安装依赖包：pip3 install pillow
-from utils.file.compress import dynamic_quality
-import os
-import time
-
-
-"""
-PIL读取的图像发生自动旋转：https://blog.csdn.net/mizhenpeng/article/details/82794112
-使用python批量压缩图片文件：https://blog.csdn.net/weixin_41855010/article/details/120723943
-"""
-
-
-def compress_jpg_png(filename, originpath):
-    name = filename.rstrip('.png').rstrip('.jpg')
-    im = Image.open(os.path.join(originpath, filename))
-    # 解决图像方向问题
-    try:
-        for orientation in ExifTags.TAGS.keys():
-            if ExifTags.TAGS[orientation] == 'Orientation': break
-            exif = dict(im._getexif().items())
-            if exif[orientation] == 3:
-                im = im.rotate(180, expand=True)
-            elif exif[orientation] == 6:
-                im = im.rotate(270, expand=True)
-            elif exif[orientation] == 8:
-                im = im.rotate(90, expand=True)
-    except:
-        pass
-    # print(im.format,im.size,im.mode)
-    im = im.convert('RGB')
-    im.format = "JPEG"
-    new_photo = im.copy()
-    new_photo.thumbnail(im.size, resample=Image.ANTIALIAS)
-    save_args = {'format': im.format}
-    # print(save_args)
-    # if im.format=='JPEG':
-    # save_args['quality']=20
-    save_args['quality'], value = dynamic_quality.jpeg_dynamic_quality(im)
-    save_args['optimize'] = True
-    save_args['progressive=True'] = True
-    # print("JPEG Quality Changed")
-    # elif im.format=='PNG':
-    #     save_args['format']='JPEG'
-    #     save_args['quality']=5
-    #     print("PNG Quality Changed")
-    new_file = os.path.join(originpath, name + str(int(time.time())) + ".jpg")
-    new_photo.save(new_file, **save_args)
-    return new_file
-
-
-if __name__ == '__main__':
-    print(compress_jpg_png("1.jpg", "E:\\test"))
diff --git a/kinit-api/utils/file/compress/dynamic_quality.py b/kinit-api/utils/file/compress/dynamic_quality.py
deleted file mode 100644
index 1747fa3..0000000
--- a/kinit-api/utils/file/compress/dynamic_quality.py
+++ /dev/null
@@ -1,66 +0,0 @@
-import PIL.Image  # 安装依赖包：pip3 install pillow
-from math import log
-from SSIM_PIL import compare_ssim # 安装依赖包：pip3 install SSIM-PIL
-
-
-def get_ssim_at_quality(photo, quality):
-    """Return the ssim for this JPEG image saved at the specified quality"""
-    ssim_photo = "tmp.jpg"
-    # optimize is omitted here as it doesn't affect
-    # quality but requires additional memory and cpu
-    photo.save(ssim_photo, format="JPEG", quality=quality, progressive=True)
-    ssim_score = compare_ssim(photo, PIL.Image.open(ssim_photo))
-    return ssim_score
-
-
-def _ssim_iteration_count(lo, hi):
-    """Return the depth of the binary search tree for this range"""
-    if lo >= hi:
-        return 0
-    else:
-        return int(log(hi - lo, 2)) + 1
-
-
-def jpeg_dynamic_quality(original_photo):
-    """Return an integer representing the quality that this JPEG image should be
-    saved at to attain the quality threshold specified for this photo class.
-
-    Args:
-        original_photo - a prepared PIL JPEG image (only JPEG is supported)
-    """
-    ssim_goal = 0.9 #the original value is 0.95
-    hi = 35 #the original value is 85
-    lo = 30 #the original value is 80
-
-    # working on a smaller size image doesn't give worse results but is faster
-    # changing this value requires updating the calculated thresholds
-    photo = original_photo.resize((200, 200))
-
-    # if not _should_use_dynamic_quality():
-    #     default_ssim = get_ssim_at_quality(photo, hi)
-    #     return hi, default_ssim
-
-    # 95 is the highest useful value for JPEG. Higher values cause different behavior
-    # Used to establish the image's intrinsic ssim without encoder artifacts
-    normalized_ssim = get_ssim_at_quality(photo, 10)
-    selected_quality = selected_ssim = None
-
-    # loop bisection. ssim function increases monotonically so this will converge
-    for i in range(_ssim_iteration_count(lo, hi)):
-        curr_quality = (lo + hi) // 2
-        curr_ssim = get_ssim_at_quality(photo, curr_quality)
-        ssim_ratio = curr_ssim / normalized_ssim
-
-        if ssim_ratio >= ssim_goal:
-            # continue to check whether a lower quality level also exceeds the goal
-            selected_quality = curr_quality
-            selected_ssim = curr_ssim
-            hi = curr_quality
-        else:
-            lo = curr_quality
-
-    if selected_quality:
-        return selected_quality, selected_ssim
-    else:
-        default_ssim = get_ssim_at_quality(photo, hi)
-        return hi, default_ssim
diff --git a/kinit-api/utils/file/file_base.py b/kinit-api/utils/file/file_base.py
index 7442b9f..a0c96ef 100644
--- a/kinit-api/utils/file/file_base.py
+++ b/kinit-api/utils/file/file_base.py
@@ -9,7 +9,6 @@
 import datetime
 import os
 from pathlib import Path
-
 from aiopathlib import AsyncPath
 from fastapi import UploadFile
 from application.settings import TEMP_DIR
diff --git a/kinit-api/utils/file/file_manage.py b/kinit-api/utils/file/file_manage.py
index 498452c..2060284 100644
--- a/kinit-api/utils/file/file_manage.py
+++ b/kinit-api/utils/file/file_manage.py
@@ -8,12 +8,10 @@
 import asyncio
 import io
 import os
-import shutil
 import zipfile
 from application.settings import STATIC_ROOT, BASE_DIR, STATIC_URL
 from fastapi import UploadFile
 import sys
-from pathlib import Path
 from core.exception import CustomException
 from utils.file.file_base import FileBase
 from aiopathlib import AsyncPath