项目架构调整，模型全部采用接口调用

services/paddle_services/doc_dewarp/__init__.py

@@ -1,4 +1,7 @@
+import os.path
+
 from onnxruntime import InferenceSession
 
-DOC_TR = InferenceSession("model/dewarp_model/doc_tr_pp.onnx",
-                          providers=["CUDAExecutionProvider"], provider_options=[{"device_id": 0}])
+MODEL_PATH = os.path.join(os.path.dirname(os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))),
+                          'model', 'dewarp_model', 'doc_tr_pp.onnx')
+DOC_TR = InferenceSession(MODEL_PATH, providers=['CUDAExecutionProvider'], provider_options=[{'device_id': 0}])

services/paddle_services/doc_dewarp/dewarper.py

@@ -11,10 +11,10 @@ def dewarp_image(image):
     y = to_tensor(image)
 
     img = np.transpose(img, (2, 0, 1))
-    bm = DOC_TR.run(None, {"image": img[None,]})[0]
+    bm = DOC_TR.run(None, {'image': img[None,]})[0]
     bm = paddle.to_tensor(bm)
     bm = paddle.nn.functional.interpolate(
-        bm, y.shape[2:], mode="bilinear", align_corners=False
+        bm, y.shape[2:], mode='bilinear', align_corners=False
     )
     bm_nhwc = np.transpose(bm, (0, 2, 3, 1))
     out = paddle.nn.functional.grid_sample(y, (bm_nhwc / 288 - 0.5) * 2)