[Model] Add tinypose single && pipeline model (#177)

* Add tinypose model * Add PPTinypose python API * Fix picodet preprocess bug && Add Tinypose examples * Update tinypose example code * Update ppseg preprocess if condition * Update ppseg backend support type * Update permute.h * Update README.md * Update code with comments * Move files dir * Delete premute.cc * Add single model pptinypose * Delete pptinypose old code in ppdet * Code format * Add ppdet + pptinypose pipeline model * Fix bug for posedetpipeline * Change Frontend to ModelFormat * Change Frontend to ModelFormat in __init__.py * Add python posedetpipeline/ * Update pptinypose example dir name * Update README.md * Update README.md * Update README.md * Update README.md * Create keypointdetection_result.md * Create README.md * Create README.md * Create README.md * Update README.md * Update README.md * Create README.md * Fix det_keypoint_unite_infer.py bug * Create README.md * Update PP-Tinypose by comment * Update by comment * Add pipeline directory * Add pptinypose dir * Update pptinypose to align accuracy * Addd warpAffine processor * Update GetCpuMat to GetOpenCVMat * Add comment for pptinypose && pipline * Update docs/main_page.md * Add README.md for pptinypose * Add README for det_keypoint_unite * Remove ENABLE_PIPELINE option * Remove ENABLE_PIPELINE option * Change pptinypose default backend * PP-TinyPose Pipeline support multi PP-Detection models * Update pp-tinypose comment * Update by comments * Add single test example Co-authored-by: Jason <jiangjiajun@baidu.com>
2025-10-06 00:57:33 +08:00 · 2022-10-21 09:28:23 +08:00
parent 49ab773d22
commit b565c15bf7
62 changed files with 2583 additions and 20 deletions
--- a/python/fastdeploy/vision/keypointdetection/pptinypose/init.py
+++ b/python/fastdeploy/vision/keypointdetection/pptinypose/init.py
@@ -0,0 +1,69 @@
+# 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 PPTinyPose(FastDeployModel):
+    def __init__(self,
+                 model_file,
+                 params_file,
+                 config_file,
+                 runtime_option=None,
+                 model_format=ModelFormat.PADDLE):
+        """load a PPTinyPose model exported by PaddleDetection.
+
+        :param model_file: (str)Path of model file, e.g pptinypose/model.pdmodel
+        :param params_file: (str)Path of parameters file, e.g pptinypose/model.pdiparams, if the model_fomat is ModelFormat.ONNX, this param will be ignored, can be set as empty string
+        :param config_file: (str)Path of configuration file for deployment, e.g pptinypose/infer_cfg.yml
+        :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
+        """
+        super(PPTinyPose, self).__init__(runtime_option)
+
+        assert model_format == ModelFormat.PADDLE, "PPTinyPose model only support model format of ModelFormat.Paddle now."
+        self._model = C.vision.keypointdetection.PPTinyPose(
+            model_file, params_file, config_file, self._runtime_option,
+            model_format)
+        assert self.initialized, "PPTinyPose model initialize failed."
+
+    def predict(self, input_image):
+        """Detect keypoints in an input image
+
+        :param im: (numpy.ndarray)The input image data, 3-D array with layout HWC, BGR format
+        :return: KeyPointDetectionResult
+        """
+        assert input_image is not None, "The input image data is None."
+        return self._model.predict(input_image)
+
+    @property
+    def use_dark(self):
+        """Atrribute of PPTinyPose model. Stating whether using Distribution-Aware Coordinate Representation for Human Pose Estimation(DARK for short) in postprocess, default is True
+
+        :return: value of use_dark(bool)
+        """
+        return self._model.use_dark
+
+    @use_dark.setter
+    def use_dark(self, value):
+        """Set attribute use_dark of PPTinyPose model.
+
+        :param value: (bool)The value to set use_dark
+        """
+        assert isinstance(
+            value, bool), "The value to set `use_dark` must be type of bool."
+        self._model.use_dark = value