[Model] add PFLD model (#433)

* support face alignment PFLD * add PFLD demo * fixed FaceAlignmentResult * fixed bugs * fixed img size * fixed readme * deal with comments * fixed readme * add pfld testcase * update infer.py * add gflags for example * update c++ readme * add gflags in example * fixed for ci * fixed gflags.cmake * deal with comments * update infer demo Co-authored-by: Jason <jiangjiajun@baidu.com>
2025-10-05 16:48:03 +08:00 · 2022-11-02 11:50:16 +08:00
parent 7e64f4088f
commit 9437dec9f5
33 changed files with 1059 additions and 44 deletions
--- a/python/fastdeploy/vision/facealign/contrib/pfld.py
+++ b/python/fastdeploy/vision/facealign/contrib/pfld.py
@@ -0,0 +1,68 @@
+# 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.
+
+from __future__ import absolute_import
+import logging
+from .... import FastDeployModel, ModelFormat
+from .... import c_lib_wrap as C
+
+
+class PFLD(FastDeployModel):
+    def __init__(self,
+                 model_file,
+                 params_file="",
+                 runtime_option=None,
+                 model_format=ModelFormat.ONNX):
+        """Load a face alignment model exported by PFLD.
+
+        :param model_file: (str)Path of model file, e.g pfld/pfld-106-v3.onnx
+        :param params_file: (str)Path of parameters file, if the model_fomat is ModelFormat.ONNX, this param will be ignored, can be set as empty string
+        :param runtime_option: (fastdeploy.RuntimeOption)RuntimeOption for inference this model, if it's None, will use the default backend on CPU
+        :param model_format: (fastdeploy.ModelForamt)Model format of the loaded model, default is ONNX
+        """
+
+        super(PFLD, self).__init__(runtime_option)
+
+        assert model_format == ModelFormat.ONNX, "PFLD only support model format of ModelFormat.ONNX now."
+        self._model = C.vision.facealign.PFLD(
+            model_file, params_file, self._runtime_option, model_format)
+        assert self.initialized, "PFLD initialize failed."
+
+    def predict(self, input_image):
+        """Detect an input image landmarks
+
+        :param im: (numpy.ndarray)The input image data, 3-D array with layout HWC, BGR format
+        :return: FaceAlignmentResult
+        """
+
+        return self._model.predict(input_image)
+
+    @property
+    def size(self):
+        """
+        Returns the preprocess image size, default (112, 112)
+        """
+        return self._model.size
+
+    @size.setter
+    def size(self, wh):
+        """
+        Set the preprocess image size, default (112, 112)
+        """
+        assert isinstance(wh, (list, tuple)),\
+            "The value to set `size` must be type of tuple or list."
+        assert len(wh) == 2,\
+            "The value to set `size` must contatins 2 elements means [width, height], but now it contains {} elements.".format(
+            len(wh))
+        self._model.size = wh