feat image2sketch 新增风格上传 自定义风格

fix

app/api/api_image2sketch.py

@@ -17,14 +17,18 @@ def image2sketch(request_item: Image2SketchModel):
     """
         创建一个具有以下参数的请求体:
         - **image_url**: 提取图片url
+        - **style_image_url**:  被模仿sketch图片url
+        - **default_style**:  默认风格 粗1，、中2、细3
         - **sketch_bucket**: sketch保存的bucket
         - **sketch_name**: sketch保存的object name
 
         示例参数：
         {
-        "image_url": "test/real_Top_971fe3085a69f31f3e66c225eabb0eea.jpg_Img.jpg",
+          "image_url": "test/image2sketch/real_Dress_3200fecdc83d0c556c2bd96aedbd7fbf.jpg_Img.jpg",
+          "style_image_url": "test/image2sketch/style_3.png",
+          "default_style": "1",
           "sketch_bucket": "test",
-        "sketch_name": "12341556-89.jpg"
+          "sketch_name": "image2sketch/test.png"
         }
     """
     try:

app/core/config.py

@@ -20,7 +20,7 @@ class Settings(BaseSettings):
 
 
 OSS = "minio"
-DEBUG = False
+DEBUG = True
 if DEBUG:
     LOGS_PATH = "logs/"
     CATEGORY_PATH = "service/attribute/config/descriptor/category/category_dis.csv"

app/schemas/image2sketch.py

@@ -3,5 +3,7 @@ from pydantic import BaseModel
 
 class Image2SketchModel(BaseModel):
     image_url: str
+    style_image_url: str
+    default_style: str
     sketch_bucket: str
     sketch_name: str

app/service/image2sketch/infer.py

@@ -54,7 +54,7 @@ def load_img(filepath):
 
 if __name__ == '__main__':
     img_A = "/workspace/Semi_ref2sketch_code/datasets/ref_unpair/testA/real_Dress_732caedc416a0cbfedd0e6528040eac7.jpg_Img.jpg"
-    img_B = "/workspace/Semi_ref2sketch_code/datasets/ref_unpair/testC/styleA.png"
+    img_B = "/workspace/Semi_ref2sketch_code/datasets/ref_unpair/testC/style_3.png"
     from opt import Config
 
     opt = Config()  # get  test options
@@ -73,7 +73,7 @@ if __name__ == '__main__':
         model.eval()
     data = {}
     print(os.getcwd())
-    B = reference, _, _ = load_img(r"E:\workspace\trinity_client_aida\app\service\image2sketch\datasets\ref_unpair\testC\styleA.png")
+    B = reference, _, _ = load_img(r"/app/service/image2sketch/datasets/ref_unpair/testC/style_3.png")
     style_img = transform(reference)
     data['B'] = style_img
     data['B'] = data['B'].unsqueeze(0).to(device)

app/service/image2sketch/opt.py

@@ -46,8 +46,12 @@ class Config:
         self.num_test = 1000
         self.morm = 'batch'
         if DEBUG:
-            self.style_image = "service/image2sketch/datasets/ref_unpair/testC/20180422151845_stEe4.jpeg"
+            self.style_image1 = "service/image2sketch/datasets/ref_unpair/testC/style_1.jpg"
+            self.style_image2 = "service/image2sketch/datasets/ref_unpair/testC/style_2.jpeg"
+            self.style_image3 = "service/image2sketch/datasets/ref_unpair/testC/style_3.png"
             self.checkpoints_dir = 'service/image2sketch/checkpoints/'
         else:
             self.checkpoints_dir = 'app/service/image2sketch/checkpoints/'
-            self.style_image = "app/service/image2sketch/datasets/ref_unpair/testC/20180422151845_stEe4.jpeg"
+            self.style_image1 = "app/service/image2sketch/datasets/ref_unpair/testC/style_1.jpg"
+            self.style_image2 = "app/service/image2sketch/datasets/ref_unpair/testC/style_2.jpeg"
+            self.style_image3 = "app/service/image2sketch/datasets/ref_unpair/testC/style_3.png"

app/service/image2sketch/server.py

@@ -33,6 +33,7 @@ def tensor2im(input_image, imtype=np.uint8):
 class Image2SketchServer:
     def __init__(self, request_data):
         self.image_url = request_data.image_url
+        self.style_image_url = request_data.style_image_url
         self.sketch_bucket = request_data.sketch_bucket
         self.sketch_name = request_data.sketch_name
         self.opt = Config()
@@ -47,7 +48,15 @@ class Image2SketchServer:
         self.model.setup(self.opt)
         transform_list = [transforms.ToTensor(), transforms.Normalize([0.5], [0.5])]
         transform = transforms.Compose(transform_list)
-        style_img = Image.open(self.opt.style_image).convert('L')
+        if request_data.default_style == "1":
+            style_img = Image.open(self.opt.style_image1).convert('L')
+        elif request_data.default_style == "2":
+            style_img = Image.open(self.opt.style_image2).convert('L')
+        elif request_data.default_style == "3":
+            style_img = Image.open(self.opt.style_image3).convert('L')
+        else:
+            style_img = oss_get_image(bucket=self.style_image_url.split('/')[0], object_name=self.style_image_url[self.style_image_url.find('/') + 1:], data_type="PIL")
+        style_img = style_img.convert('L')
         style_img = transform(style_img)
         self.data['B'] = style_img
         self.data['B'] = self.data['B'].unsqueeze(0).to(device)