大家好我一直试图找出如何从SPS nal单位计算高度。我有H264视频,其中包含这些参数
h264 (High), yuvj420p(pc), 1280x720 [SAR 1:1 DAR 16:9], 20 fps, 20 tbr, 1200k tbn, 40 tbc
我一直在寻找一个可以计算宽度(1280)和高度(720)的公式但是找不到任何可以帮助我的公式。现在我使用this formula并且它适用于大多数H264流,但在这种情况下,高度和宽度是80x48
if(frame_cropping_flag) {
width = ((pic_width_in_mbs_minus1 +1)*16) - frame_crop_left_offset*2 - frame_crop_right_offset*2;
height= ((2 - frame_mbs_only_flag)* (pic_height_in_map_units_minus1 +1) * 16) - (frame_crop_top_offset * 2) - (frame_crop_bottom_offset * 2);
}
else {
width = ((pic_width_in_mbs_minus1 +1)*16);
height= ((2 - frame_mbs_only_flag)* (pic_height_in_map_units_minus1 +1) * 16);
}
这里是SPS as base64
Z2QAKa2EBUViuKxUdCAqKxXFYqOhAVFYrisVHQgKisVxWKjoQFRWK4rFR0ICorFcVio6ECSFITk8nyfk/k/J8nm5s00IEkKQnJ5Pk/J/J+T5PNzZprQCgC3YCqQAAAMB4AAASwGBAAH0AAADAjKAve+F4RCNQA==
这是我已解析过的SPS:
======= SPS =======
profile_idc : 100
constraint_set0_flag : 0
constraint_set1_flag : 0
constraint_set2_flag : 0
constraint_set3_flag : 0
constraint_set4_flag : 0
constraint_set5_flag : 0
reserved_zero_2bits : 0
level_idc : 41
seq_parameter_set_id : 0
chroma_format_idc : 1
separate_colour_plane_flag : 0
bit_depth_luma_minus8 : 0
bit_depth_chroma_minus8 : 0
qpprime_y_zero_transform_bypass_flag : 0
seq_scaling_matrix_present_flag : 1
log2_max_frame_num_minus4 : 41
pic_order_cnt_type : 4
log2_max_pic_order_cnt_lsb_minus4 : 0
delta_pic_order_always_zero_flag : 0
offset_for_non_ref_pic : 0
offset_for_top_to_bottom_field : 0
num_ref_frames_in_pic_order_cnt_cycle : 0
num_ref_frames : 2
gaps_in_frame_num_value_allowed_flag : 0
pic_width_in_mbs_minus1 : 4
pic_height_in_map_units_minus1 : 2
frame_mbs_only_flag : 1
mb_adaptive_frame_field_flag : 0
direct_8x8_inference_flag : 0
frame_cropping_flag : 0
frame_crop_left_offset : 0
frame_crop_right_offset : 0
frame_crop_top_offset : 0
frame_crop_bottom_offset : 0
vui_parameters_present_flag : 0
=== VUI ===
aspect_ratio_info_present_flag : 0
aspect_ratio_idc : 0
sar_width : 0
sar_height : 0
overscan_info_present_flag : 0
overscan_appropriate_flag : 0
video_signal_type_present_flag : 0
video_format : 0
video_full_range_flag : 0
colour_description_present_flag : 0
colour_primaries : 0
transfer_characteristics : 0
matrix_coefficients : 0
chroma_loc_info_present_flag : 0
chroma_sample_loc_type_top_field : 0
chroma_sample_loc_type_bottom_field : 0
timing_info_present_flag : 0
num_units_in_tick : 0
time_scale : 0
fixed_frame_rate_flag : 0
nal_hrd_parameters_present_flag : 0
vcl_hrd_parameters_present_flag : 0
low_delay_hrd_flag : 0
pic_struct_present_flag : 0
bitstream_restriction_flag : 0
motion_vectors_over_pic_boundaries_flag : 0
max_bytes_per_pic_denom : 0
max_bits_per_mb_denom : 0
log2_max_mv_length_horizontal : 0
log2_max_mv_length_vertical : 0
num_reorder_frames : 0
max_dec_frame_buffering : 0
=== HRD ===
cpb_cnt_minus1 : 0
bit_rate_scale : 0
cpb_size_scale : 0
bit_rate_value_minus1[0] : 0
cpb_size_value_minus1[0] : 0
cbr_flag[0] : 0
initial_cpb_removal_delay_length_minus1 : 0
cpb_removal_delay_length_minus1 : 0
dpb_output_delay_length_minus1 : 0
time_offset_length : 0
我想这与luma和chorma macrblocks大小有关,我已经能够计算SubWidthC \ SubHeightC和MbWidthC \ MbHeightC。但我仍然困惑下一步该做什么。
感谢您提供任何帮助或指导 最好的问候teamol
答案 0 :(得分:7)
首先你好,你正在解析SPS不正确所以你需要修复它。如果你正确解析它,你将有
pic_width_in_mbs_minus1 : 79
pic_height_in_map_units_minus1 : 44
frame_mbs_only_flag : 1
frame_cropping_flag : 0
如果您使用公式计算宽度和高度,那么您将实际拥有1280x720
无论如何,您应该使用SubWidth和SubHeight计算高度和宽度,如下所示:
int SubWidthC;
int SubHeightC;
if (sps->chroma_format_idc == 0 && sps->separate_colour_plane_flag == 0) { //monochrome
SubWidthC = SubHeightC = 0;
}
else if (sps->chroma_format_idc == 1 && sps->separate_colour_plane_flag == 0) { //4:2:0
SubWidthC = SubHeightC = 2;
}
else if (sps->chroma_format_idc == 2 && sps->separate_colour_plane_flag == 0) { //4:2:2
SubWidthC = 2;
SubHeightC = 1;
}
else if (sps->chroma_format_idc == 3) { //4:4:4
if (sps->separate_colour_plane_flag == 0) {
SubWidthC = SubHeightC = 1;
}
else if (sps->separate_colour_plane_flag == 1) {
SubWidthC = SubHeightC = 0;
}
}
int PicWidthInMbs = sps->pic_width_in_mbs_minus1 + 1;
int PicHeightInMapUnits = sps->pic_height_in_map_units_minus1 + 1;
int FrameHeightInMbs = (2 - sps->frame_mbs_only_flag) * PicHeightInMapUnits;
int crop_left = 0;
int crop_right = 0;
int crop_top = 0;
int crop_bottom = 0;
if (sps->frame_cropping_flag) {
crop_left = sps->frame_crop_left_offset;
crop_right = sps->frame_crop_right_offset;
crop_top = sps->frame_crop_top_offset;
crop_bottom = sps->frame_crop_bottom_offset;
}
int width = PicWidthInMbs * 16 - SubWidthC * (crop_left + crop_right);
int height = FrameHeightInMbs * 16 - SubHeightC * (2 - sps->frame_mbs_only_flag) * (crop_top + crop_bottom);
答案 1 :(得分:0)
我们现在在librem中有一个H.264 SPS解析器:
https://github.com/creytiv/rem/blob/master/include/rem_h264.h#L52
可以这样使用,以提取分辨率:
struct h264_sps sps;
struct vidsz vidsz;
h264_sps_decode(&sps, buf, len);
h264_sps_resolution(&sps, vidsz);
printf("resolution: %u x %u\n", vidsz.w, vidsz.h);