forked from huawei/mindspore2022
84 lines
2.9 KiB
C++
84 lines
2.9 KiB
C++
/**
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* Copyright 2021 Huawei Technologies Co., Ltd
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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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*/
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#include <sys/stat.h>
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#include <unistd.h>
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#include <fstream>
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#include <iostream>
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#include <map>
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#include <memory>
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#include <set>
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#include <string>
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#include <unordered_map>
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#include <unordered_set>
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#include <utility>
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#include <vector>
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#include "include/api/types.h"
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#include "include/dataset/lite_cv/lite_mat.h"
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#include "include/dataset/lite_cv/image_process.h"
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#include "include/dataset/vision_lite.h"
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#include "include/dataset/execute.h"
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using mindspore::dataset::Execute;
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using mindspore::dataset::LDataType;
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using mindspore::dataset::LiteMat;
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using mindspore::dataset::PaddBorderType;
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using mindspore::dataset::vision::Decode;
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int main(int argc, char **argv) {
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std::ifstream ifs("test_image.jpg");
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if (!ifs.is_open() || !ifs.good()) {
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std::cout << "fail to load image, check image path" << std::endl;
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return -1;
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}
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ifs.seekg(0, std::ios::end);
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size_t size = ifs.tellg();
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mindspore::MSTensor image("file", mindspore::DataType::kNumberTypeUInt8, {static_cast<int64_t>(size)}, nullptr, size);
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ifs.seekg(0, std::ios::beg);
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ifs.read(reinterpret_cast<char *>(image.MutableData()), size);
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ifs.close();
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auto decode = Decode();
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auto executor = Execute(decode);
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executor(image, &image);
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constexpr int32_t image_h = 0;
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constexpr int32_t image_w = 1;
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constexpr int32_t image_c = 2;
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LiteMat lite_mat_rgb(image.Shape()[image_w], image.Shape()[image_h], image.Shape()[image_c],
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const_cast<void *>(image.Data().get()), LDataType::UINT8);
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std::cout << "lite_mat_rgb: height=" << lite_mat_rgb.height_ << ", width=" << lite_mat_rgb.width_ << std::endl;
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LiteMat lite_mat_resize;
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constexpr target_size = 256;
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ResizeBilinear(lite_mat_rgb, lite_mat_resize, target_size, target_size);
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std::cout << "lite_mat_resize: height=" << lite_mat_resize.height_ << ", width=" << lite_mat_resize.width_
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<< std::endl;
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LiteMat lite_mat_pad;
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constexpr int32_t pad_top = 30;
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constexpr int32_t pad_bottom = 30;
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constexpr int32_t pad_left = 10;
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constexpr int32_t pad_right = 10;
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constexpr int32_t pad_color = 255;
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Pad(lite_mat_resize, lite_mat_pad, pad_top, pad_bottom, pad_left, pad_right, PaddBorderType::PADD_BORDER_CONSTANT,
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pad_color, pad_color, pad_color);
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std::cout << "lite_mat_pad: height=" << lite_mat_pad.height_ << ", width=" << lite_mat_pad.width_ << std::endl;
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}
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