feat: api idphoto hd (#107)

* idphoto hd

* Update deploy_api.py

* Update api_CN.md

.github/workflows/sync-to-gitee.yml

@@ -1,22 +0,0 @@
-name: Sync to Gitee
-
-on:
-  push:
-    branches:
-      - master  # 或者你想要同步的其他分支
-
-jobs:
-  sync:
-    runs-on: ubuntu-latest
-    environment: gitee
-
-    steps:
-    - name: Checkout code
-      uses: actions/checkout@v2
-
-    - name: Push to Gitee
-      run: |
-        git config --global user.name ${{ vars.GITEE_USERNAME }}
-        git config --global user.email ${{ vars.GITEE_EMAIL }}
-        git remote add gitee https://${{ vars.GITEE_USERNAME }}:${{ secrets.GITEE_TOKEN }}@gitee.com/${{ vars.GITEE_USERNAME }}/HivisionIDPhotos.git
-        git push -f gitee master:master

deploy_api.py

@@ -32,14 +32,15 @@ def numpy_2_base64(img: np.ndarray):
 @app.post("/idphoto")
 async def idphoto_inference(
     input_image: UploadFile,
-    height: str = Form(...),
-    width: str = Form(...),
+    height: int = Form(413),
+    width: int = Form(295),
     human_matting_model: str = Form("hivision_modnet"),
     face_detect_model: str = Form("mtcnn"),
-    head_measure_ratio=0.2,
-    head_height_ratio=0.45,
-    top_distance_max=0.12,
-    top_distance_min=0.10,
+    hd: bool = Form(True),
+    head_measure_ratio: float = 0.2,
+    head_height_ratio: float = 0.45,
+    top_distance_max: float = 0.12,
+    top_distance_min: float = 0.10,
 ):
 
     image_bytes = await input_image.read()
@@ -66,15 +67,18 @@ async def idphoto_inference(
         result_message = {
             "status": True,
             "image_base64_standard": numpy_2_base64(result.standard),
-            "image_base64_hd": numpy_2_base64(result.hd),
         }
 
+        # 如果hd为True, 则增加高清照结果（png 4通道图像）
+        if hd:
+            result_message["image_base64_hd"] = numpy_2_base64(result.hd)
+
     return result_message
 
 
 # 人像抠图接口
 @app.post("/human_matting")
-async def idphoto_inference(
+async def human_matting_inference(
     input_image: UploadFile,
     human_matting_model: str = Form("hivision_modnet"),
 ):
@@ -105,8 +109,8 @@ async def idphoto_inference(
 @app.post("/add_background")
 async def photo_add_background(
     input_image: UploadFile,
-    color: str = Form(...),
-    kb: str = Form(None),
+    color: str = Form("000000"),
+    kb: int = Form(50),
     render: int = Form(0),
 ):
     render_choice = ["pure_color", "updown_gradient", "center_gradient"]
@@ -150,9 +154,9 @@ async def photo_add_background(
 @app.post("/generate_layout_photos")
 async def generate_layout_photos(
     input_image: UploadFile,
-    height: str = Form(...),
-    width: str = Form(...),
-    kb: str = Form(None),
+    height: int = Form(413),
+    width: int = Form(295),
+    kb: int = Form(50),
 ):
     # try:
     image_bytes = await input_image.read()

docs/api_CN.md

@@ -83,7 +83,8 @@ curl -X POST "http://127.0.0.1:8080/idphoto" \
 -F "height=413" \
 -F "width=295" \
 -F "human_matting_model=hivision_modnet" \
--F "face_detect_model=mtcnn"
+-F "face_detect_model=mtcnn" \
+-F "hd=true"
 ```
 
 ### 2. 添加背景色
@@ -148,7 +149,7 @@ url = "http://127.0.0.1:8080/idphoto"
 input_image_path = "demo/images/test0.jpg"
 
 files = {"input_image": open(input_image_path, "rb")}
-data = {"height": 413, "width": 295, "human_matting_model": "hivision_modnet", "face_detect_model": "mtcnn"}
+data = {"height": 413, "width": 295, "human_matting_model": "hivision_modnet", "face_detect_model": "mtcnn", "hd": True}
 
 response = requests.post(url, files=files, data=data).json()