对于UYVY,数据被专门存储在帧 - >数据[0],并且每行你应该复制宽度* 2个字节:
for (y = 0; y < height; y++)
{
memcpy(output_buffer + y*frame->linesize[0],
frame->data[0] + y*frame->linesize[0], width * 2);
}
有一种方法以编程导出此,如果你'感兴趣。每个AVPixelFormat
有一个AVPixFmtDescriptor
描述其在AVFrame->data[]
包装。要得到您的,请使用av_pix_fmt_desc_get
(
AV_PIX_FMT_UYVY
)
。返回的项目是this之一(请参阅此处的AVComponentDescriptor
的结构参考)。您会看到desc->nb_components
为3,desc->log2_chroma_w
为1,表示U/V水平采样为1,而desc->comp[0-2].plane
为0,这意味着所有数据都在AVFrame->data[0]
中。 offset
/step
/depth
在desc->comp[0-2]
告诉你其他的情况下,你想要一个完全动态的方式来阅读任何pix_fmt。我不认为你个人需要它,但至少它允许任何人推导出AVFrame->data[]
中任何pix_fmt的包装。
[编辑]参见下面的示例代码(可能是越野车):
#include <assert.h>
#include <stdio.h>
#include <libavutil/pixdesc.h>
int main(int argc, char *argv[]) {
if (argc < 2) {
fprintf(stderr, "Usage: %s [fmt]\n", argv[0]);
return 1;
}
const char *fmtname = argv[1];
enum AVPixelFormat fmt = av_get_pix_fmt(fmtname);
if (fmt == AV_PIX_FMT_NONE) {
fprintf(stderr, "Unknown pixfmt %s\n", fmtname);
return 1;
}
const AVPixFmtDescriptor *desc = av_pix_fmt_desc_get(fmt);
assert(desc != NULL);
printf("N planes: %d, %d bits/element\n", desc->nb_components, desc->comp[0].depth);
int n;
int epl[4] = { 0, 0, 0, 0 };
int width = 0x100;
for (n = 0; n < desc->nb_components; n++) {
int is_y = n == 0;
int is_a = !(desc->nb_components & 1) && n == desc->nb_components - 1;
int h_ss = (is_y || is_a) ? 0 : desc->log2_chroma_w;
epl[desc->comp[n].plane] += width >> h_ss;
}
for (n = 0; n < 4; n++) {
int is_y = n == 0;
int is_a = !(desc->nb_components & 1) && n == desc->nb_components - 1;
int v_ss = (is_y || is_a) ? 0 : desc->log2_chroma_h;
if (epl[n] == 0) continue;
printf("Plane %d has %lf elements/y_pixel (horizontally) and %lf lines/y_pixel (vertically)\n",
n, epl[n]/(double) width, (width >> v_ss)/(double) width);
}
return 0;
}
这给下面的输出:
$ for fmt in yuyv422 uyvy422 yuv420p yuva420p10; do /tmp/test $fmt; done
N planes: 3, 8 bits/element
Plane 0 has 2.000000 elements/y_pixel (horizontally) and 1.000000 lines/y_pixel (vertically)
N planes: 3, 8 bits/element
Plane 0 has 2.000000 elements/y_pixel (horizontally) and 1.000000 lines/y_pixel (vertically)
N planes: 3, 8 bits/element
Plane 0 has 1.000000 elements/y_pixel (horizontally) and 1.000000 lines/y_pixel (vertically)
Plane 1 has 0.500000 elements/y_pixel (horizontally) and 0.500000 lines/y_pixel (vertically)
Plane 2 has 0.500000 elements/y_pixel (horizontally) and 0.500000 lines/y_pixel (vertically)
N planes: 4, 10 bits/element
Plane 0 has 1.000000 elements/y_pixel (horizontally) and 1.000000 lines/y_pixel (vertically)
Plane 1 has 0.500000 elements/y_pixel (horizontally) and 0.500000 lines/y_pixel (vertically)
Plane 2 has 0.500000 elements/y_pixel (horizontally) and 0.500000 lines/y_pixel (vertically)
Plane 3 has 1.000000 elements/y_pixel (horizontally) and 1.000000 lines/y_pixel (vertically)
天啊,太感谢你了。我不知道我可以从他们的资料中找到。我的意思是,显然,描述必须在某处,但我不知道在哪里看。这真是太好了,我甚至无法形容我有多兴奋。现在我可以尝试在任何像素格式之间进行压缩,并找出哪一个最佳/最快。我不明白的一件事是'AVComponentDescriptor-> step',其他的一切都是自我解释的。例如,YUV420P的step设置为1,这是否意味着在2个水平连续的像素之间有1个色度元素? –
另外,我怎么能推断有多少字节我需要从'AVFrame->数据[0]'每行复制? –
该步骤意味着“需要多少个元素才能增加指针以获取此类型的下一个元素”。例如:UYVY布局正是:U1Y1V1Y2U2Y3V2Y4 [etc]。所以,如果我的uint8_t * ptr设置为U1,我需要增加多少个元素(uint8_t)才能到达U2? 4!而对于Y1到Y2? 2!对于大多数平面像素格式,该值始终为1.对于非平面像素格式(或混合格式,如NV12中的色度平面),该值仅> 1。 –