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lavfi/dnn_processing: refine code to use function av_image_copy_plane for data copy

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Signed-off-by: Guo, Yejun <yejun.guo@intel.com>
Signed-off-by: Pedro Arthur <bygrandao@gmail.com>
This commit is contained in:
Guo, Yejun 2020-01-13 19:37:56 +08:00 committed by Pedro Arthur
parent 95ade711eb
commit 4e1ae43b17
1 changed files with 24 additions and 61 deletions
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81
libavfilter/vf_dnn_processing.c
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@ -27,6 +27,7 @@
#include "libavutil/opt.h"
#include "libavutil/pixdesc.h"
#include "libavutil/avassert.h"
#include "libavutil/imgutils.h"
#include "avfilter.h"
#include "dnn_interface.h"
#include "formats.h"
@ -231,6 +232,8 @@ static int config_output(AVFilterLink *outlink)
static int copy_from_frame_to_dnn(DNNData *dnn_input, const AVFrame *frame)
{
int bytewidth = av_image_get_linesize(frame->format, frame->width, 0);
switch (frame->format) {
case AV_PIX_FMT_RGB24:
case AV_PIX_FMT_BGR24:
@ -244,42 +247,17 @@ static int copy_from_frame_to_dnn(DNNData *dnn_input, const AVFrame *frame)
}
}
} else {
uint8_t *dnn_input_data = dnn_input->data;
av_assert0(dnn_input->dt == DNN_UINT8);
for (int i = 0; i < frame->height; i++) {
for(int j = 0; j < frame->width * 3; j++) {
int k = i * frame->linesize[0] + j;
int t = i * frame->width * 3 + j;
dnn_input_data[t] = frame->data[0][k];
}
}
av_image_copy_plane(dnn_input->data, bytewidth,
frame->data[0], frame->linesize[0],
bytewidth, frame->height);
}
return 0;
case AV_PIX_FMT_GRAY8:
{
uint8_t *dnn_input_data = dnn_input->data;
av_assert0(dnn_input->dt == DNN_UINT8);
for (int i = 0; i < frame->height; i++) {
for(int j = 0; j < frame->width; j++) {
int k = i * frame->linesize[0] + j;
int t = i * frame->width + j;
dnn_input_data[t] = frame->data[0][k];
}
}
}
return 0;
case AV_PIX_FMT_GRAYF32:
{
float *dnn_input_data = dnn_input->data;
av_assert0(dnn_input->dt == DNN_FLOAT);
for (int i = 0; i < frame->height; i++) {
for(int j = 0; j < frame->width; j++) {
int k = i * frame->linesize[0] + j * sizeof(float);
int t = i * frame->width + j;
dnn_input_data[t] = *(float*)(frame->data[0] + k);
}
}
}
av_image_copy_plane(dnn_input->data, bytewidth,
frame->data[0], frame->linesize[0],
bytewidth, frame->height);
return 0;
default:
return AVERROR(EIO);
@ -290,6 +268,8 @@ static int copy_from_frame_to_dnn(DNNData *dnn_input, const AVFrame *frame)
static int copy_from_dnn_to_frame(AVFrame *frame, const DNNData *dnn_output)
{
int bytewidth = av_image_get_linesize(frame->format, frame->width, 0);
switch (frame->format) {
case AV_PIX_FMT_RGB24:
case AV_PIX_FMT_BGR24:
@ -303,42 +283,25 @@ static int copy_from_dnn_to_frame(AVFrame *frame, const DNNData *dnn_output)
}
}
} else {
uint8_t *dnn_output_data = dnn_output->data;
av_assert0(dnn_output->dt == DNN_UINT8);
for (int i = 0; i < frame->height; i++) {
for(int j = 0; j < frame->width * 3; j++) {
int k = i * frame->linesize[0] + j;
int t = i * frame->width * 3 + j;
frame->data[0][k] = dnn_output_data[t];
}
}
av_image_copy_plane(frame->data[0], frame->linesize[0],
dnn_output->data, bytewidth,
bytewidth, frame->height);
}
return 0;
case AV_PIX_FMT_GRAY8:
{
uint8_t *dnn_output_data = dnn_output->data;
// it is possible that data type of dnn output is float32,
// need to add support for such case when needed.
av_assert0(dnn_output->dt == DNN_UINT8);
for (int i = 0; i < frame->height; i++) {
for(int j = 0; j < frame->width; j++) {
int k = i * frame->linesize[0] + j;
int t = i * frame->width + j;
frame->data[0][k] = dnn_output_data[t];
}
}
}
av_image_copy_plane(frame->data[0], frame->linesize[0],
dnn_output->data, bytewidth,
bytewidth, frame->height);
return 0;
case AV_PIX_FMT_GRAYF32:
{
float *dnn_output_data = dnn_output->data;
av_assert0(dnn_output->dt == DNN_FLOAT);
for (int i = 0; i < frame->height; i++) {
for(int j = 0; j < frame->width; j++) {
int k = i * frame->linesize[0] + j * sizeof(float);
int t = i * frame->width + j;
*(float*)(frame->data[0] + k) = dnn_output_data[t];
}
}
}
av_image_copy_plane(frame->data[0], frame->linesize[0],
dnn_output->data, bytewidth,
bytewidth, frame->height);
return 0;
default:
return AVERROR(EIO);