R语言临床预测模型的评价指标与验证指标实战:净重新分类指数NRI(Net Reclassification Index, NRI)

答案:H264 RTP完整代码如下:#include
NRI

:2; //NALU优先级 unsigned char F:1; //是否有起始前缀} NALU_HEADER;//FU INDICATOR typedef struct { //byte 0 unsigned char TYPE:5; //FU INDICATOR的类型 unsigned char
NRI

:2; //NALU优先级 unsigned char F:1; //是否有起始前缀} FU_INDICATOR;//FU HEADER typedef struct { //byte 0 unsigned char TYPE:5; //FU HEADER的类型 unsigned char R:1; //是否有起始前缀 unsigned char E:1; //是否有结束前缀 unsigned char S:1; //是否为第一个分片} FU_HEADER;//RTP发送函数 void send_rtp_packet(int sock,unsigned char buf,int len,unsigned long timestamp) { int head_len = 12; //固定头部长度 int send_len; //头部部分 unsigned char rtp_head[head_len]; RTP_FIXED_HEADER rtp_hdr; rtp_hdr = (RTP_FIXED_HEADER )rtp_head; //RTP固定头部 rtp_hdr->version = 2; rtp_hdr->payload = 96; //发送H264数据,其值为96 rtp_hdr->seq_no = htons(1); //序列号,每发送一个RTP包增1 rtp_hdr->timestamp = htonl(timestamp); //时间戳,每发送一个RTP包更新 rtp_hdr->ssrc = htonl(1); //源标识符,可以自定义 //NALU前缀 NALU_HEADER nalu_hdr; nalu_hdr = (NALU_HEADER )(buf); //FU INDICATOR FU_INDICATOR fu_ind; fu_ind = (FU_INDICATOR )(buf); //FU HEADER FU_HEADER fu_hdr; fu_hdr = (FU_HEADER *)(buf + 1); //发送一个完整NALU if(nalu_hdr->F == 0) { memcpy(rtp_head+head_len,buf,len); send_len = head_len + len; send(sock,rtp_head,send_len,0); } //分片NALU else if(nalu_hdr->F == 1) { //发送FU INDICATOR rtp_head[head_len] = fu_ind->F | fu_ind->
NRI

<< 5 | fu_ind->TYPE << 5; send_len = head_len + 1; send(sock,rtp_head,send_len,0); //发送FU HEADER rtp_head[head_len] = fu_hdr->S | fu_hdr->E << 1 | fu_hdr->R << 2 | fu_hdr->TYPE << 5; send_len = head_len + 1; send(sock,rtp_head,send_len,0); //发送分片NALU memcpy(rtp_head+head_len,buf+2,len-2); send_len = head_len + len – 2; send(sock,rtp_head,send_len,0); } }

Original: https://blog.csdn.net/zhongkeyuanchongqing/article/details/120388206
Author: Data+Science+Insight
Title: R语言临床预测模型的评价指标与验证指标实战:净重新分类指数NRI(Net Reclassification Index, NRI)

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