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找到约 8,819 项符合
RGB 的代码
makefile
###
CC = cc
CFLAGS = -Xc -v -xpentium -g
AR= ar
ARFLAGS = cr
#
OBJ = tmndec.o getpic.o getvlc.o gethdr.o getblk.o getbits.o recon.o idct.o idctref.o process.o sac.o dither.o yuv2rgb.o yuvrgb24.o
lib
dc.h
#ifndef __DC_H
#define __DC_H
#define COLOR u16
#define R_MAX B0001_1111
#define G_MAX B0011_1111
#define B_MAX B0001_1111
uint16 RGB(u8 R, u8 G, u8 B);
/*定义常见颜色*/
#define RED
skin.ini
;仿真数码收音机
;有四个数的为(Left,Top,Right,Bottom),左上角与右下角坐标,如:2,5,218,317
;有三个数的为RGB颜色值,如:169,35,122
;***************BEGIN****************************************
[Skin]
Author=龚瑾 (cradio21@hotmail.com
entries
/b_cb.dat/1.2/Thu Oct 16 08:09:30 2003//
/g_b_cb_case.dat/1.1/Thu Oct 16 08:06:35 2003//
/g_cb.dat/1.2/Thu Oct 16 08:09:30 2003//
/g_cr.dat/1.2/Thu Oct 16 08:09:30 2003//
/gen_yuv_rgb_files/1.2/Thu Oc
net.ipv4.af_inet.c
RCSID $Id: net.ipv4.af_inet.c,v 1.7 1999/12/31 15:15:21 rgb Exp $
--- ./net/ipv4/af_inet.c.preipsec Wed Jun 3 18:17:50 1998
+++ ./net/ipv4/af_inet.c Fri Sep 17 10:14:12 1999
@@ -1146,6 +1146,17 @@
net.ipv4.af_inet.c
RCSID $Id: net.ipv4.af_inet.c,v 1.5 1999/12/31 15:15:21 rgb Exp $
--- ./net/ipv4/af_inet.c.preipsec Mon Aug 9 15:05:13 1999
+++ ./net/ipv4/af_inet.c Fri Sep 17 10:13:07 1999
@@ -1140,6 +1140,17 @@
snoop110-105
#
# RCSID $Id: snoop110-105,v 1.2 1999/04/06 04:54:32 rgb Exp $
#
tcpdump -i eth1 -N -s 800 ether host 00:60:08:3E:C5:1A and 08:00:20:0E:13:9F -a -vv -e
#
# $Log: snoop110-105,v $
# Revision 1.2 199
snoop110-100
#
# RCSID $Id: snoop110-100,v 1.2 1999/04/06 04:54:31 rgb Exp $
#
tcpdump -i eth1 -N -s 800 ether host 00:60:08:3E:C5:1A and 00:00:C0:83:A8:27 -a -vv
#
# $Log: snoop110-100,v $
# Revision 1.2 1999/0
net.ipv4.af_inet.c
RCSID $Id: net.ipv4.af_inet.c,v 1.5 2000/06/30 19:59:12 rgb Exp $
--- ./net/ipv4/af_inet.c.preipsec Wed Apr 26 15:13:17 2000
+++ ./net/ipv4/af_inet.c Fri Jun 30 15:01:27 2000
@@ -1019,6 +1019,17 @@
nn1f.m
function s=nn1f(in)
% 将32*32的样本图像变为1024*1的灰度向量
a=imread(in);
b=rgb2gray(a);
b=double(b);
[length,width]=size(b);
b1=mat2gray(b); % 0为黑 1为白 Convert matrix to intensity image.
s=reshape(b1