diff --git a/docker-compose-test.yml b/docker-compose-test.yml
deleted file mode 100644
index 356a3f0..0000000
--- a/docker-compose-test.yml
+++ /dev/null
@@ -1,40 +0,0 @@
-x-env:
-  &template
-  image: fcb_photo_review:1.13.8
-
-services:
-  det_api:
-    <<: *template
-    build:
-      context: .
-    container_name: det_api
-    hostname: det_api
-    volumes:
-      - ./log:/app/log
-      - ./model:/app/model
-    command: [ "det_api.py" ]
-    deploy:
-      resources:
-        reservations:
-          devices:
-            - device_ids: [ "0" ]
-              capabilities: [ "gpu" ]
-              driver: "nvidia"
-
-  photo_review_test:
-    <<: *template
-    container_name: photo_review_test
-    hostname: photo_review_test
-    volumes:
-      - ./log:/app/log
-      - ./model:/app/model
-    depends_on:
-      - det_api
-    command: [ "photo_review.py" ]
-    deploy:
-      resources:
-        reservations:
-          devices:
-            - device_ids: [ "0", "1" ]
-              capabilities: [ "gpu" ]
-              driver: "nvidia"
\ No newline at end of file
diff --git a/docker-compose.yml b/docker-compose.yml
index 3ce49a8..1712053 100644
--- a/docker-compose.yml
+++ b/docker-compose.yml
@@ -1,6 +1,8 @@
 x-env:
   &template
-  image: fcb_photo_review:1.13.8
+  # 启动时可以指定环境变量TAG来手动选择镜像版本
+  # docker-compose up -d -e TAG=1.0.0
+  image: fcb_photo_review:${TAG:-1.13.8}
   restart: always
 
 services:
@@ -14,8 +16,6 @@ services:
       - ./log:/app/log
       - ./model:/app/model
     command: [ "det_api.py" ]
-    ports:
-      - "5000:5000"  # 映射端口
     deploy:
       resources:
         reservations:
diff --git a/photo_review/auto_photo_review.py b/photo_review/auto_photo_review.py
index 6d2f89f..3a80e2d 100644
--- a/photo_review/auto_photo_review.py
+++ b/photo_review/auto_photo_review.py
@@ -82,9 +82,7 @@ def information_extraction(ie, phrecs, identity):
 
         image = image_util.read(img_path)
         target_images = []
-        det_time = time.time()
         target_images += detector.request_book_areas(image)  # 识别文档区域并裁剪
-        logging.info(f"检测目标耗时{time.time() - det_time}秒")
         if not target_images:
             target_images.append(image)  # 识别失败
         angle_count = defaultdict(int, {"0": 0})  # 分割后图片的最优角度统计