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https://github.com/xiaoyifang/goldendict-ng.git
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823baf135f
* ffmpeg 5.0.1 build with: ./configure --disable-programs --disable-swscale --disable-avdevice --disable-avfilter --enable-shared --disable-xlib * arm64 libraries build on my M1 Macbook Pro, and x86_64 build on github action * Qt6.2 produce an uniserval binary, so delete macos-m1.yml. * add Ad-Hoc code sign
108 lines
3.4 KiB
C
108 lines
3.4 KiB
C
/*
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* This file is part of FFmpeg.
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*
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* FFmpeg is free software; you can redistribute it and/or
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* modify it under the terms of the GNU Lesser General Public
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* License as published by the Free Software Foundation; either
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* version 2.1 of the License, or (at your option) any later version.
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*
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* FFmpeg is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
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* Lesser General Public License for more details.
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*
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* You should have received a copy of the GNU Lesser General Public
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* License along with FFmpeg; if not, write to the Free Software
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* Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
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*/
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#ifndef AVUTIL_DETECTION_BBOX_H
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#define AVUTIL_DETECTION_BBOX_H
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#include "rational.h"
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#include "avassert.h"
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#include "frame.h"
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typedef struct AVDetectionBBox {
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/**
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* Distance in pixels from the left/top edge of the frame,
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* together with width and height, defining the bounding box.
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*/
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int x;
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int y;
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int w;
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int h;
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#define AV_DETECTION_BBOX_LABEL_NAME_MAX_SIZE 64
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/**
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* Detect result with confidence
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*/
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char detect_label[AV_DETECTION_BBOX_LABEL_NAME_MAX_SIZE];
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AVRational detect_confidence;
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/**
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* At most 4 classifications based on the detected bounding box.
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* For example, we can get max 4 different attributes with 4 different
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* DNN models on one bounding box.
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* classify_count is zero if no classification.
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*/
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#define AV_NUM_DETECTION_BBOX_CLASSIFY 4
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uint32_t classify_count;
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char classify_labels[AV_NUM_DETECTION_BBOX_CLASSIFY][AV_DETECTION_BBOX_LABEL_NAME_MAX_SIZE];
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AVRational classify_confidences[AV_NUM_DETECTION_BBOX_CLASSIFY];
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} AVDetectionBBox;
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typedef struct AVDetectionBBoxHeader {
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/**
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* Information about how the bounding box is generated.
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* for example, the DNN model name.
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*/
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char source[256];
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/**
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* Number of bounding boxes in the array.
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*/
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uint32_t nb_bboxes;
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/**
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* Offset in bytes from the beginning of this structure at which
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* the array of bounding boxes starts.
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*/
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size_t bboxes_offset;
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/**
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* Size of each bounding box in bytes.
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*/
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size_t bbox_size;
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} AVDetectionBBoxHeader;
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/*
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* Get the bounding box at the specified {@code idx}. Must be between 0 and nb_bboxes.
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*/
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static av_always_inline AVDetectionBBox *
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av_get_detection_bbox(const AVDetectionBBoxHeader *header, unsigned int idx)
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{
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av_assert0(idx < header->nb_bboxes);
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return (AVDetectionBBox *)((uint8_t *)header + header->bboxes_offset +
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idx * header->bbox_size);
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}
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/**
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* Allocates memory for AVDetectionBBoxHeader, plus an array of {@code nb_bboxes}
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* AVDetectionBBox, and initializes the variables.
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* Can be freed with a normal av_free() call.
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*
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* @param out_size if non-NULL, the size in bytes of the resulting data array is
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* written here.
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*/
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AVDetectionBBoxHeader *av_detection_bbox_alloc(uint32_t nb_bboxes, size_t *out_size);
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/**
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* Allocates memory for AVDetectionBBoxHeader, plus an array of {@code nb_bboxes}
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* AVDetectionBBox, in the given AVFrame {@code frame} as AVFrameSideData of type
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* AV_FRAME_DATA_DETECTION_BBOXES and initializes the variables.
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*/
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AVDetectionBBoxHeader *av_detection_bbox_create_side_data(AVFrame *frame, uint32_t nb_bboxes);
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#endif
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