项目架构调整，模型全部采用接口调用

services/paddle_services/doc_dewarp/dewarper.py

@@ -0,0 +1,21 @@
+import cv2
+import numpy as np
+import paddle
+
+from . import DOC_TR
+from .utils import to_tensor, to_image
+
+
+def dewarp_image(image):
+    img = cv2.resize(image, (288, 288)).astype(np.float32)
+    y = to_tensor(image)
+
+    img = np.transpose(img, (2, 0, 1))
+    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_nhwc = np.transpose(bm, (0, 2, 3, 1))
+    out = paddle.nn.functional.grid_sample(y, (bm_nhwc / 288 - 0.5) * 2)
+    return to_image(out)