mirror of
https://github.com/PaddlePaddle/FastDeploy.git
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f36f9324de
* Pick PPOCR fastdeploy docs from PaddleOCR * improve ppocr * improve readme * remove old PP-OCRv2 and PP-OCRv3 folfers * rename kunlun to kunlunxin * improve readme * improve readme * improve readme --------- Co-authored-by: Jason <jiangjiajun@baidu.com> Co-authored-by: DefTruth <31974251+DefTruth@users.noreply.github.com>
251 lines
9.1 KiB
C
251 lines
9.1 KiB
C
// Copyright (c) 2023 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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// Copyright (c) 2023 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 <stdio.h>
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#include <stdlib.h>
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#include "fastdeploy_capi/vision.h"
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#ifdef WIN32
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const char sep = '\\';
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#else
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const char sep = '/';
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#endif
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void CpuInfer(const char *det_model_dir, const char *cls_model_dir,
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const char *rec_model_dir, const char *rec_label_file,
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const char *image_file) {
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char det_model_file[100];
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char det_params_file[100];
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char cls_model_file[100];
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char cls_params_file[100];
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char rec_model_file[100];
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char rec_params_file[100];
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int max_size = 99;
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snprintf(det_model_file, max_size, "%s%c%s", det_model_dir, sep,
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"inference.pdmodel");
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snprintf(det_params_file, max_size, "%s%c%s", det_model_dir, sep,
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"inference.pdiparams");
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snprintf(cls_model_file, max_size, "%s%c%s", cls_model_dir, sep,
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"inference.pdmodel");
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snprintf(cls_params_file, max_size, "%s%c%s", cls_model_dir, sep,
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"inference.pdiparams");
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snprintf(rec_model_file, max_size, "%s%c%s", rec_model_dir, sep,
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"inference.pdmodel");
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snprintf(rec_params_file, max_size, "%s%c%s", rec_model_dir, sep,
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"inference.pdiparams");
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FD_C_RuntimeOptionWrapper *det_option = FD_C_CreateRuntimeOptionWrapper();
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FD_C_RuntimeOptionWrapper *cls_option = FD_C_CreateRuntimeOptionWrapper();
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FD_C_RuntimeOptionWrapper *rec_option = FD_C_CreateRuntimeOptionWrapper();
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FD_C_RuntimeOptionWrapperUseCpu(det_option);
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FD_C_RuntimeOptionWrapperUseCpu(cls_option);
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FD_C_RuntimeOptionWrapperUseCpu(rec_option);
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FD_C_DBDetectorWrapper *det_model = FD_C_CreateDBDetectorWrapper(
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det_model_file, det_params_file, det_option, FD_C_ModelFormat_PADDLE);
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FD_C_ClassifierWrapper *cls_model = FD_C_CreateClassifierWrapper(
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cls_model_file, cls_params_file, cls_option, FD_C_ModelFormat_PADDLE);
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FD_C_RecognizerWrapper *rec_model = FD_C_CreateRecognizerWrapper(
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rec_model_file, rec_params_file, rec_label_file, rec_option,
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FD_C_ModelFormat_PADDLE);
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FD_C_PPOCRv3Wrapper *ppocr_v3 =
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FD_C_CreatePPOCRv3Wrapper(det_model, cls_model, rec_model);
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if (!FD_C_PPOCRv3WrapperInitialized(ppocr_v3)) {
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printf("Failed to initialize.\n");
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FD_C_DestroyRuntimeOptionWrapper(det_option);
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FD_C_DestroyRuntimeOptionWrapper(cls_option);
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FD_C_DestroyRuntimeOptionWrapper(rec_option);
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FD_C_DestroyClassifierWrapper(cls_model);
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FD_C_DestroyDBDetectorWrapper(det_model);
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FD_C_DestroyRecognizerWrapper(rec_model);
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FD_C_DestroyPPOCRv3Wrapper(ppocr_v3);
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return;
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}
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FD_C_Mat im = FD_C_Imread(image_file);
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FD_C_OCRResult *result = (FD_C_OCRResult *)malloc(sizeof(FD_C_OCRResult));
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if (!FD_C_PPOCRv3WrapperPredict(ppocr_v3, im, result)) {
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printf("Failed to predict.\n");
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FD_C_DestroyRuntimeOptionWrapper(det_option);
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FD_C_DestroyRuntimeOptionWrapper(cls_option);
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FD_C_DestroyRuntimeOptionWrapper(rec_option);
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FD_C_DestroyClassifierWrapper(cls_model);
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FD_C_DestroyDBDetectorWrapper(det_model);
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FD_C_DestroyRecognizerWrapper(rec_model);
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FD_C_DestroyPPOCRv3Wrapper(ppocr_v3);
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FD_C_DestroyMat(im);
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free(result);
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return;
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}
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// print res
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char res[2000];
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FD_C_OCRResultStr(result, res);
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printf("%s", res);
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FD_C_Mat vis_im = FD_C_VisOcr(im, result);
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FD_C_Imwrite("vis_result.jpg", vis_im);
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printf("Visualized result saved in ./vis_result.jpg\n");
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FD_C_DestroyRuntimeOptionWrapper(det_option);
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FD_C_DestroyRuntimeOptionWrapper(cls_option);
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FD_C_DestroyRuntimeOptionWrapper(rec_option);
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FD_C_DestroyClassifierWrapper(cls_model);
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FD_C_DestroyDBDetectorWrapper(det_model);
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FD_C_DestroyRecognizerWrapper(rec_model);
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FD_C_DestroyPPOCRv3Wrapper(ppocr_v3);
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FD_C_DestroyOCRResult(result);
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FD_C_DestroyMat(im);
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FD_C_DestroyMat(vis_im);
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}
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void GpuInfer(const char *det_model_dir, const char *cls_model_dir,
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const char *rec_model_dir, const char *rec_label_file,
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const char *image_file) {
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char det_model_file[100];
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char det_params_file[100];
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char cls_model_file[100];
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char cls_params_file[100];
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char rec_model_file[100];
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char rec_params_file[100];
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int max_size = 99;
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snprintf(det_model_file, max_size, "%s%c%s", det_model_dir, sep,
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"inference.pdmodel");
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snprintf(det_params_file, max_size, "%s%c%s", det_model_dir, sep,
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"inference.pdiparams");
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snprintf(cls_model_file, max_size, "%s%c%s", cls_model_dir, sep,
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"inference.pdmodel");
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snprintf(cls_params_file, max_size, "%s%c%s", cls_model_dir, sep,
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"inference.pdiparams");
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snprintf(rec_model_file, max_size, "%s%c%s", rec_model_dir, sep,
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"inference.pdmodel");
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snprintf(rec_params_file, max_size, "%s%c%s", rec_model_dir, sep,
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"inference.pdiparams");
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FD_C_RuntimeOptionWrapper *det_option = FD_C_CreateRuntimeOptionWrapper();
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FD_C_RuntimeOptionWrapper *cls_option = FD_C_CreateRuntimeOptionWrapper();
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FD_C_RuntimeOptionWrapper *rec_option = FD_C_CreateRuntimeOptionWrapper();
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FD_C_RuntimeOptionWrapperUseGpu(det_option, 0);
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FD_C_RuntimeOptionWrapperUseGpu(cls_option, 0);
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FD_C_RuntimeOptionWrapperUseGpu(rec_option, 0);
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FD_C_DBDetectorWrapper *det_model = FD_C_CreateDBDetectorWrapper(
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det_model_file, det_params_file, det_option, FD_C_ModelFormat_PADDLE);
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FD_C_ClassifierWrapper *cls_model = FD_C_CreateClassifierWrapper(
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cls_model_file, cls_params_file, cls_option, FD_C_ModelFormat_PADDLE);
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FD_C_RecognizerWrapper *rec_model = FD_C_CreateRecognizerWrapper(
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rec_model_file, rec_params_file, rec_label_file, rec_option,
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FD_C_ModelFormat_PADDLE);
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FD_C_PPOCRv3Wrapper *ppocr_v3 =
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FD_C_CreatePPOCRv3Wrapper(det_model, cls_model, rec_model);
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if (!FD_C_PPOCRv3WrapperInitialized(ppocr_v3)) {
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printf("Failed to initialize.\n");
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FD_C_DestroyRuntimeOptionWrapper(det_option);
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FD_C_DestroyRuntimeOptionWrapper(cls_option);
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FD_C_DestroyRuntimeOptionWrapper(rec_option);
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FD_C_DestroyClassifierWrapper(cls_model);
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FD_C_DestroyDBDetectorWrapper(det_model);
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FD_C_DestroyRecognizerWrapper(rec_model);
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FD_C_DestroyPPOCRv3Wrapper(ppocr_v3);
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return;
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}
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FD_C_Mat im = FD_C_Imread(image_file);
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FD_C_OCRResult *result = (FD_C_OCRResult *)malloc(sizeof(FD_C_OCRResult));
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if (!FD_C_PPOCRv3WrapperPredict(ppocr_v3, im, result)) {
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printf("Failed to predict.\n");
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FD_C_DestroyRuntimeOptionWrapper(det_option);
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FD_C_DestroyRuntimeOptionWrapper(cls_option);
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FD_C_DestroyRuntimeOptionWrapper(rec_option);
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FD_C_DestroyClassifierWrapper(cls_model);
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FD_C_DestroyDBDetectorWrapper(det_model);
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FD_C_DestroyRecognizerWrapper(rec_model);
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FD_C_DestroyPPOCRv3Wrapper(ppocr_v3);
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FD_C_DestroyMat(im);
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free(result);
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return;
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}
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// print res
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char res[2000];
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FD_C_OCRResultStr(result, res);
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printf("%s", res);
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FD_C_Mat vis_im = FD_C_VisOcr(im, result);
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FD_C_Imwrite("vis_result.jpg", vis_im);
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printf("Visualized result saved in ./vis_result.jpg\n");
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FD_C_DestroyRuntimeOptionWrapper(det_option);
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FD_C_DestroyRuntimeOptionWrapper(cls_option);
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FD_C_DestroyRuntimeOptionWrapper(rec_option);
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FD_C_DestroyClassifierWrapper(cls_model);
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FD_C_DestroyDBDetectorWrapper(det_model);
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FD_C_DestroyRecognizerWrapper(rec_model);
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FD_C_DestroyPPOCRv3Wrapper(ppocr_v3);
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FD_C_DestroyOCRResult(result);
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FD_C_DestroyMat(im);
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FD_C_DestroyMat(vis_im);
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}
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int main(int argc, char *argv[]) {
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if (argc < 7) {
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printf(
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"Usage: infer_demo path/to/det_model path/to/cls_model "
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"path/to/rec_model path/to/rec_label_file path/to/image "
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"run_option, "
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"e.g ./infer_demo ./ch_PP-OCRv3_det_infer "
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"./ch_ppocr_mobile_v3.0_cls_infer ./ch_PP-OCRv3_rec_infer "
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"./ppocr_keys_v1.txt ./12.jpg 0\n");
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printf(
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"The data type of run_option is int, 0: run with cpu; 1: run with gpu"
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"\n");
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return -1;
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}
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if (atoi(argv[6]) == 0) {
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CpuInfer(argv[1], argv[2], argv[3], argv[4], argv[5]);
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} else if (atoi(argv[6]) == 1) {
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GpuInfer(argv[1], argv[2], argv[3], argv[4], argv[5]);
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}
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return 0;
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}
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