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https://github.com/PaddlePaddle/FastDeploy.git
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c6480de736
* bind success * bind success fix * FDMat pybind, ResizeByShort pybind * FDMat pybind, ResizeByShort pybind, remove initialized_ * override BindProcessorManager::Run in python is available * PyProcessorManager done * vision_pybind fix * manager.py fix * add tutorials * remove Apply() bind * remove Apply() bind and fix * fix reviewed problem * fix reviewed problem * fix reviewed problem readme * fix reviewed problem readme etc * apply return outputs * nits * update readme * fix FDMatbatch * add op pybind: CenterCrop, Pad * add op overload for pass FDMatBatch --------- Co-authored-by: Wang Xinyu <shaywxy@gmail.com>
58 lines
2.3 KiB
C++
58 lines
2.3 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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namespace vision {
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// PyProcessorManager is used for pybind11::init() of ProcessorManager
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// Because ProcessorManager have a pure Virtual function Apply()
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class FASTDEPLOY_DECL PyProcessorManager : public ProcessorManager {
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public:
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using ProcessorManager::ProcessorManager;
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bool Apply(FDMatBatch* image_batch, std::vector<FDTensor>* outputs) override {
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PYBIND11_OVERRIDE_PURE(bool, ProcessorManager, Apply, image_batch, outputs);
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}
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};
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} // namespace vision
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void BindProcessorManager(pybind11::module& m) {
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pybind11::class_<vision::ProcessorManager, vision::PyProcessorManager>(
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m, "ProcessorManager")
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.def(pybind11::init<>())
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.def("run",
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[](vision::ProcessorManager& self,
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std::vector<pybind11::array>& im_list) {
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std::vector<vision::FDMat> images;
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for (size_t i = 0; i < im_list.size(); ++i) {
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images.push_back(vision::WrapMat(PyArrayToCvMat(im_list[i])));
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}
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std::vector<FDTensor> outputs;
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if (!self.Run(&images, &outputs)) {
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throw std::runtime_error("Failed to process the input data");
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}
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if (!self.CudaUsed()) {
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for (size_t i = 0; i < outputs.size(); ++i) {
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outputs[i].StopSharing();
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}
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}
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return outputs;
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})
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.def("pre_apply", &vision::ProcessorManager::PreApply)
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.def("post_apply", &vision::ProcessorManager::PostApply)
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.def("use_cuda",
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[](vision::ProcessorManager& self, bool enable_cv_cuda = false,
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int gpu_id = -1) { self.UseCuda(enable_cv_cuda, gpu_id); });
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}
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} // namespace fastdeploy
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