Picture using minio service

Dockerfile

@@ -0,0 +1,22 @@
+FROM python:3.9
+ENV TZ=Asia/Shanghai
+RUN apt update
+RUN apt install -y vim
+RUN apt install -y libgl1-mesa-glx
+COPY ./requirements.txt  /requirements.txt
+RUN pip install --upgrade pip
+RUN pip install -r requirements.txt
+RUN pip install gunicorn
+RUN pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118
+RUN pip install mmcv==1.4.2 -f https://download.openmmlab.com/mmcv/dist/cu117/torch1.13/index.html
+
+WORKDIR /app
+COPY . .
+ENV FLASK_APP=manage.py
+LABEL maintainer="zchengrong@yeah.net" \
+      description="My Python 3.9 - trinity mixi " \
+      version="1.0" \
+      name="trinity_mixi"
+
+
+CMD ["gunicorn", "-c", "gunicorn_config.py",  "manage:app"]

app/service/outfit_matcher/dataset.py

@@ -11,12 +11,12 @@ def sim_score(a, b):
 
 
 class FashionDataset(object):
-    # fashion_categories = json.load(open(r"config/fashion_categories.json", "r"))
+    fashion_categories = json.load(open(r"config/fashion_categories.json", "r"))
-    # fashion_categories_mapping = json.load(open(r"config/fashion_category_mapping.json", "r"))
+    fashion_categories_mapping = json.load(open(r"config/fashion_category_mapping.json", "r"))
 
     # service debug
-    fashion_categories = json.load(open(r"service/outfit_matcher/config/fashion_categories.json", "r"))
+    # fashion_categories = json.load(open(r"service/outfit_matcher/config/fashion_categories.json", "r"))
-    fashion_categories_mapping = json.load(open(r"service/outfit_matcher/config/fashion_category_mapping.json", "r"))
+    # fashion_categories_mapping = json.load(open(r"service/outfit_matcher/config/fashion_category_mapping.json", "r"))
 
     def __init__(self, item_metadata):
         self.item_metadat = item_metadata