mirror of
https://github.com/PaddlePaddle/FastDeploy.git
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db9739a76e
* add batch_predict and initialized api for c * add batch_predict and result str in C api * modify visualization function * add micro to add models batchify * refactor and add models for ppdet others * add base define * fix * refine predict api
60 lines
2.4 KiB
C++
60 lines
2.4 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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#include "fastdeploy_capi/vision/visualize.h"
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#include "fastdeploy/vision/visualize/visualize.h"
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#include "fastdeploy_capi/types_internal.h"
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#ifdef __cplusplus
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extern "C" {
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#endif
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FD_C_Mat FD_C_VisDetection(FD_C_Mat im,
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FD_C_DetectionResult* fd_c_detection_result,
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float score_threshold, int line_size,
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float font_size) {
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FD_C_DetectionResultWrapper* fd_c_detection_result_wrapper =
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FD_C_CreateDetectionResultWrapperFromData(fd_c_detection_result);
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auto& detection_result = CHECK_AND_CONVERT_FD_TYPE(
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DetectionResultWrapper, fd_c_detection_result_wrapper);
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cv::Mat result = fastdeploy::vision::VisDetection(
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*(reinterpret_cast<cv::Mat*>(im)), *detection_result, score_threshold,
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line_size, font_size);
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return new cv::Mat(result);
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}
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FD_C_Mat FD_C_VisDetectionWithLabel(FD_C_Mat im,
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FD_C_DetectionResult* fd_c_detection_result,
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FD_C_OneDimArrayCstr* labels,
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float score_threshold, int line_size,
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float font_size) {
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std::vector<std::string> labels_in;
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for (int i = 0; i < labels->size; i++) {
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labels_in.emplace_back(labels->data[i].data);
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}
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FD_C_DetectionResultWrapper* fd_c_detection_result_wrapper =
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FD_C_CreateDetectionResultWrapperFromData(fd_c_detection_result);
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auto& detection_result = CHECK_AND_CONVERT_FD_TYPE(
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DetectionResultWrapper, fd_c_detection_result_wrapper);
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cv::Mat result = fastdeploy::vision::VisDetection(
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*(reinterpret_cast<cv::Mat*>(im)), *detection_result, labels_in,
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score_threshold, line_size, font_size);
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return new cv::Mat(result);
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}
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#ifdef __cplusplus
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}
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#endif
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