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* update .gitignore * Added checking for cmake include dir * fixed missing trt_backend option bug when init from trt * remove un-need data layout and add pre-check for dtype * changed RGB2BRG to BGR2RGB in ppcls model * add model_zoo yolov6 c++/python demo * fixed CMakeLists.txt typos * update yolov6 cpp/README.md * add yolox c++/pybind and model_zoo demo * move some helpers to private * fixed CMakeLists.txt typos * add normalize with alpha and beta * add version notes for yolov5/yolov6/yolox * add copyright to yolov5.cc * revert normalize * fixed some bugs in yolox * Add YOLOv5Face Model support * fixed examples/vision typos * fixed runtime_option print func bugs
46 lines
2.0 KiB
C++
46 lines
2.0 KiB
C++
// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#include "fastdeploy/pybind/main.h"
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namespace fastdeploy {
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void BindVisualize(pybind11::module& m) {
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pybind11::class_<vision::Visualize>(m, "Visualize")
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.def(pybind11::init<>())
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.def_static("vis_detection",
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[](pybind11::array& im_data, vision::DetectionResult& result,
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int line_size, float font_size) {
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auto im = PyArrayToCvMat(im_data);
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vision::Visualize::VisDetection(&im, result, line_size,
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font_size);
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})
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.def_static(
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"vis_face_detection",
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[](pybind11::array& im_data, vision::FaceDetectionResult& result,
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int line_size, float font_size) {
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auto im = PyArrayToCvMat(im_data);
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vision::Visualize::VisFaceDetection(&im, result, line_size,
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font_size);
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})
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.def_static("vis_segmentation", [](pybind11::array& im_data,
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vision::SegmentationResult& result,
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pybind11::array& vis_im_data,
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const int& num_classes) {
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cv::Mat im = PyArrayToCvMat(im_data);
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cv::Mat vis_im = PyArrayToCvMat(vis_im_data);
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vision::Visualize::VisSegmentation(im, result, &vis_im, num_classes);
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});
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}
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} // namespace fastdeploy
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