move tests

tests/models/test_pipnet.py

@@ -0,0 +1,43 @@
+# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import fastdeploy as fd
+import cv2
+import os
+import numpy as np
+
+
+def test_facealignment_pipnet():
+    model_url = "https://bj.bcebos.com/paddlehub/fastdeploy/pipnet_resnet18_10x19x32x256_aflw.onnx"
+    input_url = "https://bj.bcebos.com/paddlehub/fastdeploy/facealign_input.png"
+    output_url = "https://bj.bcebos.com/paddlehub/fastdeploy/tests/pipnet_result_landmarks.npy"
+    fd.download(model_url, ".")
+    fd.download(input_url, ".")
+    fd.download(output_url, ".")
+    model_path = "pipnet_resnet18_10x19x32x256_aflw.onnx"
+    # use ORT
+    runtime_option = fd.RuntimeOption()
+    runtime_option.use_ort_backend()
+    model = fd.vision.facealign.PIPNet(
+        model_path, runtime_option=runtime_option)
+
+    # compare diff
+    im = cv2.imread("./facealign_input.png")
+    result = model.predict(im.copy())
+    expect = np.load("./pipnet_result_landmarks.npy")
+
+    diff = np.fabs(np.array(result.landmarks) - expect)
+    thres = 1e-04
+    assert diff.max() < thres, "The diff is %f, which is bigger than %f" % (
+        diff.max(), thres)