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在Windows上，有各种工具，可以显示YUV裸数据，比如YUVViewer，那Ubuntu上怎么办呢？
Ubuntu流行命令行操作，命令行最好用的就是ffplay啦！
首先，先安装ffmpeg，它会默认附带ffplay。当然，也可以自己下载ffmpeg源码，编译安装。
sudo apt-get install ffmpeg
安装成功，就有ffplay了，命令如下：
ffplay -i raw_yuv420p_1.yuv -pixel_format yuv420p -s 1280x720
关键的参数，是pixel_format，代表YUV的格式。
这年头，最常用的就是yuv420p和nv12，因为它两和android最基本的两个颜色参数是一样的。
yuv420p
大小：width * height * 3 / 2
排列方式：YYYYYYYY UU VV。
即存储里，先把Y写满了，再把U写满了，再把V写满。对应Android的颜色：
MediaCodecInfo.CodecCapabilities.COLOR_FormatYUV420Planar
nv12
大小：width * height * 3 / 2
排列方式：YYYYYYYY UVUV
即Y先写满，UV交错，U先开始。对应Android颜色：
MediaCodecInfo.CodecCapabilities.COLOR_FormatYUV420SemiPlanar
从我目前的经历看，如果Android上用MediaCodec来编码YUV数据，那么几乎所有的机型，都能保证支持COLOR_FormatYUV420SemiPlanar。
其他的再简单列一下颜色：
nv21
大小：width * height * 3 / 2
排列方式：YYYYYYYY VUVU
即Y先写满，UV交错，V先开始。和nv12区别就是u先手还是v先手。
yuv422p
大小：width * height * 2
排列方式：YYYY UUVV
和yuv420p基本一样，都是按顺序存，只不过U&V字节多了一倍。
要得到ffplay更多的颜色定义，可以用如下命令：
ffmpeg -pix_fmts
结果我也贴一下：
Pixel formats:
I.... = Supported Input format for conversion
.O... = Supported Output format for conversion
..H.. = Hardware accelerated format
...P. = Paletted format
....B = Bitstream format
FLAGS NAME NB_COMPONENTS BITS_PER_PIXEL
-----
IO... yuv420p 3 12
IO... yuyv422 3 16
IO... rgb24 3 24
IO... bgr24 3 24
IO... yuv422p 3 16
IO... yuv444p 3 24
IO... yuv410p 3 9
IO... yuv411p 3 12
IO... gray 1 8
IO..B monow 1 1
IO..B monob 1 1
I..P. pal8 1 8
IO... yuvj420p 3 12
IO... yuvj422p 3 16
IO... yuvj444p 3 24
..H.. xvmcmc 0 0
..H.. xvmcidct 0 0
IO... uyvy422 3 16
..... uyyvyy411 3 12
IO... bgr8 3 8
.O..B bgr4 3 4
IO... bgr4_byte 3 4
IO... rgb8 3 8
.O..B rgb4 3 4
IO... rgb4_byte 3 4
IO... nv12 3 12
IO... nv21 3 12
IO... argb 4 32
IO... rgba 4 32
IO... abgr 4 32
IO... bgra 4 32
IO... gray16be 1 16
IO... gray16le 1 16
IO... yuv440p 3 16
IO... yuvj440p 3 16
IO... yuva420p 4 20
..H.. vdpau_h264 0 0
..H.. vdpau_mpeg1 0 0
..H.. vdpau_mpeg2 0 0
..H.. vdpau_wmv3 0 0
..H.. vdpau_vc1 0 0
IO... rgb48be 3 48
IO... rgb48le 3 48
IO... rgb565be 3 16
IO... rgb565le 3 16
IO... rgb555be 3 15
IO... rgb555le 3 15
IO... bgr565be 3 16
IO... bgr565le 3 16
IO... bgr555be 3 15
IO... bgr555le 3 15
..H.. vaapi_moco 0 0
..H.. vaapi_idct 0 0
..H.. vaapi_vld 0 0
IO... yuv420p16le 3 24
IO... yuv420p16be 3 24
IO... yuv422p16le 3 32
IO... yuv422p16be 3 32
IO... yuv444p16le 3 48
IO... yuv444p16be 3 48
..H.. vdpau_mpeg4 0 0
..H.. dxva2_vld 0 0
IO... rgb444le 3 12
IO... rgb444be 3 12
IO... bgr444le 3 12
IO... bgr444be 3 12
IO... ya8 2 16
IO... bgr48be 3 48
IO... bgr48le 3 48
IO... yuv420p9be 3 13
IO... yuv420p9le 3 13
IO... yuv420p10be 3 15
IO... yuv420p10le 3 15
IO... yuv422p10be 3 20
IO... yuv422p10le 3 20
IO... yuv444p9be 3 27
IO... yuv444p9le 3 27
IO... yuv444p10be 3 30
IO... yuv444p10le 3 30
IO... yuv422p9be 3 18
IO... yuv422p9le 3 18
..H.. vda_vld 0 0
IO... gbrp 3 24
IO... gbrp9be 3 27
IO... gbrp9le 3 27
IO... gbrp10be 3 30
IO... gbrp10le 3 30
IO... gbrp16be 3 48
IO... gbrp16le 3 48
IO... yuva422p 4 24
IO... yuva444p 4 32
IO... yuva420p9be 4 22
IO... yuva420p9le 4 22
IO... yuva422p9be 4 27
IO... yuva422p9le 4 27
IO... yuva444p9be 4 36
IO... yuva444p9le 4 36
IO... yuva420p10be 4 25
IO... yuva420p10le 4 25
IO... yuva422p10be 4 30
IO... yuva422p10le 4 30
IO... yuva444p10be 4 40
IO... yuva444p10le 4 40
IO... yuva420p16be 4 40
IO... yuva420p16le 4 40
IO... yuva422p16be 4 48
IO... yuva422p16le 4 48
IO... yuva444p16be 4 64
IO... yuva444p16le 4 64
..H.. vdpau 0 0
IO... xyz12le 3 36
IO... xyz12be 3 36
..... nv16 3 16
..... nv20le 3 20
..... nv20be 3 20
IO... rgba64be 4 64
IO... rgba64le 4 64
IO... bgra64be 4 64
IO... bgra64le 4 64
IO... yvyu422 3 16
..H.. vda 0 0
I.... ya16be 2 32
I.... ya16le 2 32
IO... gbrap 4 32
IO... gbrap16be 4 64
IO... gbrap16le 4 64
..H.. qsv 0 0
..H.. mmal 0 0
..H.. d3d11va_vld 0 0
..H.. cuda 0 0
IO... 0rgb 3 24
IO... rgb0 3 24
IO... 0bgr 3 24
IO... bgr0 3 24
IO... yuv420p12be 3 18
IO... yuv420p12le 3 18
IO... yuv420p14be 3 21
IO... yuv420p14le 3 21
IO... yuv422p12be 3 24
IO... yuv422p12le 3 24
IO... yuv422p14be 3 28
IO... yuv422p14le 3 28
IO... yuv444p12be 3 36
IO... yuv444p12le 3 36
IO... yuv444p14be 3 42
IO... yuv444p14le 3 42
IO... gbrp12be 3 36
IO... gbrp12le 3 36
IO... gbrp14be 3 42
IO... gbrp14le 3 42
IO... yuvj411p 3 12
I.... bayer_bggr8 3 8
I.... bayer_rggb8 3 8
I.... bayer_gbrg8 3 8
I.... bayer_grbg8 3 8
I.... bayer_bggr16le 3 16
I.... bayer_bggr16be 3 16
I.... bayer_rggb16le 3 16
I.... bayer_rggb16be 3 16
I.... bayer_gbrg16le 3 16
I.... bayer_gbrg16be 3 16
I.... bayer_grbg16le 3 16
I.... bayer_grbg16be 3 16
IO... yuv440p10le 3 20
IO... yuv440p10be 3 20
IO... yuv440p12le 3 24
IO... yuv440p12be 3 24
IO... ayuv64le 4 64
..... ayuv64be 4 64
..H.. videotoolbox_vld 0 0
IO... p010le 3 15
IO... p010be 3 15
IO... gbrap12be 4 48
IO... gbrap12le 4 48
IO... gbrap10be 4 40
IO... gbrap10le 4 40
..H.. mediacodec 0 0
IO... gray12be 1 12
IO... gray12le 1 12
IO... gray10be 1 10
IO... gray10le 1 10
I.... p016le 3 24
I.... p016be 3 24
..H.. d3d11 0 0
IO... gray9be 1 9
IO... gray9le 1 9
..... gbrpf32be 3 96
..... gbrpf32le 3 96
..... gbrapf32be 4 128
..... gbrapf32le 4 128
..H.. drm_prime 0 0题外话
如果你想研究yuv数据，又没有数据源怎么办？简单，用ffmpeg的命令就可以：
ffmpeg -i input.png -s 368x249 -pix_fmt yuv420p test.yuv
你可以用上面的命令，随意转换出各种yuv格式的数据！
size不知道怎么办？没事，先提前执行ffmpeg的命令获取文件参数：
ffmpeg -i input.png