718c41634f
1.项目后端整体迁移至PaddleOCR-NCNN算法,已通过基本的兼容性测试 2.工程改为使用CMake组织,后续为了更好地兼容第三方库,不再提供QMake工程 3.重整权利声明文件,重整代码工程,确保最小化侵权风险 Log: 切换后端至PaddleOCR-NCNN,切换工程为CMake Change-Id: I4d5d2c5d37505a4a24b389b1a4c5d12f17bfa38c
201 lines
3.8 KiB
C++
201 lines
3.8 KiB
C++
// Tencent is pleased to support the open source community by making ncnn available.
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//
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// Copyright (C) 2017 THL A29 Limited, a Tencent company. All rights reserved.
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//
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// Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
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// in compliance with the License. You may obtain a copy of the License at
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//
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// https://opensource.org/licenses/BSD-3-Clause
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//
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// Unless required by applicable law or agreed to in writing, software distributed
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// under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
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// CONDITIONS OF ANY KIND, either express or implied. See the License for the
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// specific language governing permissions and limitations under the License.
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#ifndef IMREADWRITE_H
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#define IMREADWRITE_H
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#include <limits.h>
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#include <string.h>
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#include "allocator.h"
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#include "mat.h"
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#ifndef NCNN_XADD
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using ncnn::NCNN_XADD;
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#endif
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typedef unsigned char uchar;
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enum
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{
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CV_LOAD_IMAGE_UNCHANGED = -1,
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CV_LOAD_IMAGE_GRAYSCALE = 0,
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CV_LOAD_IMAGE_COLOR = 1,
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};
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enum
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{
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CV_IMWRITE_JPEG_QUALITY = 1
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};
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// minimal opencv style data structure implementation
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namespace cv {
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#define CV_8UC1 1
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#define CV_8UC3 3
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#define CV_8UC4 4
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#define CV_32FC1 4
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struct Mat
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{
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Mat()
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: data(0), refcount(0), rows(0), cols(0), c(0)
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{
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}
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Mat(int _rows, int _cols, int flags)
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: data(0), refcount(0)
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{
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create(_rows, _cols, flags);
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}
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// copy
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Mat(const Mat& m)
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: data(m.data), refcount(m.refcount)
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{
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if (refcount)
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NCNN_XADD(refcount, 1);
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rows = m.rows;
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cols = m.cols;
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c = m.c;
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}
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Mat(int _rows, int _cols, int flags, void* _data)
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: data((unsigned char*)_data), refcount(0)
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{
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rows = _rows;
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cols = _cols;
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c = flags;
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}
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~Mat()
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{
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release();
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}
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// assign
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Mat& operator=(const Mat& m)
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{
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if (this == &m)
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return *this;
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if (m.refcount)
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NCNN_XADD(m.refcount, 1);
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release();
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data = m.data;
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refcount = m.refcount;
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rows = m.rows;
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cols = m.cols;
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c = m.c;
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return *this;
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}
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void create(int _rows, int _cols, int flags)
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{
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release();
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rows = _rows;
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cols = _cols;
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c = flags;
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if (total() > 0)
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{
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// refcount address must be aligned, so we expand totalsize here
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size_t totalsize = (total() + 3) >> 2 << 2;
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data = (uchar*)ncnn::fastMalloc(totalsize + (int)sizeof(*refcount));
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refcount = (int*)(((uchar*)data) + totalsize);
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*refcount = 1;
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}
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}
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void release()
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{
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if (refcount && NCNN_XADD(refcount, -1) == 1)
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ncnn::fastFree(data);
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data = 0;
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rows = 0;
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cols = 0;
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c = 0;
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refcount = 0;
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}
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Mat clone() const
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{
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if (empty())
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return Mat();
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Mat m(rows, cols, c);
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if (total() > 0)
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{
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memcpy(m.data, data, total());
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}
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return m;
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}
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bool empty() const
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{
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return data == 0 || total() == 0;
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}
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int type() const
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{
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return c;
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}
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size_t total() const
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{
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return cols * rows * c;
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}
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uchar* data;
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// pointer to the reference counter;
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// when points to user-allocated data, the pointer is NULL
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int* refcount;
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int rows;
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int cols;
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int c;
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};
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enum ImreadModes
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{
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IMREAD_UNCHANGED = -1,
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IMREAD_GRAYSCALE = 0,
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IMREAD_COLOR = 1
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};
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Mat imread(const std::string& path, int flags = IMREAD_COLOR);
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enum ImwriteFlags
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{
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IMWRITE_JPEG_QUALITY = 1
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};
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bool imwrite(const std::string& path, const Mat& m, const std::vector<int>& params = std::vector<int>());
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} // namespace cv
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#endif // IMREADWRITE_H
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