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8c3ccc2cc2
* update ppocrv3 for rknpu2 * add config * add config * detele unuseful * update useful results * Repair note * Repair note * fixed bugs * update
105 lines
4.2 KiB
C++
105 lines
4.2 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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#pragma once
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#include "fastdeploy/vision/common/processors/manager.h"
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#include "fastdeploy/vision/common/processors/resize.h"
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#include "fastdeploy/vision/common/processors/pad.h"
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#include "fastdeploy/vision/common/processors/normalize_and_permute.h"
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#include "fastdeploy/vision/common/result.h"
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namespace fastdeploy {
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namespace vision {
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namespace ocr {
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/*! @brief Preprocessor object for DBDetector serials model.
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*/
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class FASTDEPLOY_DECL DBDetectorPreprocessor : public ProcessorManager {
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public:
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DBDetectorPreprocessor();
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/** \brief Process the input image and prepare input tensors for runtime
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*
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* \param[in] image_batch The input image batch
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* \param[in] outputs The output tensors which will feed in runtime
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* \return true if the preprocess successed, otherwise false
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*/
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virtual bool Apply(FDMatBatch* image_batch, std::vector<FDTensor>* outputs);
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/// Set max_side_len for the detection preprocess, default is 960
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void SetMaxSideLen(int max_side_len) { max_side_len_ = max_side_len; }
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/// Get max_side_len of the detection preprocess
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int GetMaxSideLen() const { return max_side_len_; }
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/// Set preprocess normalize parameters, please call this API to customize
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/// the normalize parameters, otherwise it will use the default normalize
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/// parameters.
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void SetNormalize(const std::vector<float>& mean = {0.485f, 0.456f, 0.406f},
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const std::vector<float>& std = {0.229f, 0.224f, 0.225f},
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bool is_scale = true) {
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normalize_permute_op_ =
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std::make_shared<NormalizeAndPermute>(mean, std, is_scale);
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}
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/// Get the image info of the last batch, return a list of array
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/// {image width, image height, resize width, resize height}
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const std::vector<std::array<int, 4>>* GetBatchImgInfo() {
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return &batch_det_img_info_;
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}
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/// This function will disable normalize in preprocessing step.
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void DisableNormalize() { disable_permute_ = true; }
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/// This function will disable hwc2chw in preprocessing step.
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void DisablePermute() { disable_normalize_ = true; }
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/// Set det_image_shape for the detection preprocess.
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/// This api is usually used when you retrain the model.
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/// Generally, you do not need to use it.
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void SetDetImageShape(const std::vector<int>& det_image_shape) {
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det_image_shape_ = det_image_shape;
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}
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/// Get cls_image_shape for the classification preprocess
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std::vector<int> GetDetImageShape() const { return det_image_shape_; }
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/// Set static_shape_infer is true or not. When deploy PP-OCR
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/// on hardware which can not support dynamic input shape very well,
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/// like Huawei Ascned, static_shape_infer needs to to be true.
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void SetStaticShapeInfer(bool static_shape_infer) {
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static_shape_infer_ = static_shape_infer;
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}
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/// Get static_shape_infer of the recognition preprocess
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bool GetStaticShapeInfer() const { return static_shape_infer_; }
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private:
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bool ResizeImage(FDMat* img, int resize_w, int resize_h, int max_resize_w,
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int max_resize_h);
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// for recording the switch of hwc2chw
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bool disable_permute_ = false;
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// for recording the switch of normalize
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bool disable_normalize_ = false;
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int max_side_len_ = 960;
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std::vector<std::array<int, 4>> batch_det_img_info_;
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std::shared_ptr<Resize> resize_op_;
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std::shared_ptr<Pad> pad_op_;
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std::shared_ptr<NormalizeAndPermute> normalize_permute_op_;
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std::vector<int> det_image_shape_ = {3, 960, 960};
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bool static_shape_infer_ = false;
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std::array<int, 4> OcrDetectorGetInfo(FDMat* img, int max_size_len);
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};
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} // namespace ocr
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} // namespace vision
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} // namespace fastdeploy
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