Xlib ARGB Window Icon - xlib
I have a ARGB image data. I wish to set my window icon to this data. After searching for hours I am still at the start with nothing at hand. I know that I need to create a pixmap for image data and (may be) another pixmap for mask and use hints to hint the window manager about this. However, I do not know how to setup 32bit ARGB or 24bit RGB + 8bit alpha image. A sample would really be nice.
I stumbled upon this thread after quite some investigation on the topic, and I wasn't even able to get example code working on my system.
Turns out the buffer needs to be long and not int on 64 bit systems.
Corrected exampled below
/* gcc -Wall -Wextra -Og -lX11 -lstdc++ -L/usr/X11/lib -o native foo.c */
#include <stdlib.h>
#include <X11/Xlib.h>
int main( int argc, char **argv )
{
unsigned long buffer[] = {
16, 16,
4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 338034905, 3657433343, 0, 184483840, 234881279, 3053453567, 3221225727, 1879048447, 0, 0, 0, 0, 0, 0, 0, 1224737023, 3305111807, 3875537151,0, 0, 2063597823, 1291845887, 0, 67109119, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 50266112, 3422552319, 0, 0, 3070230783, 2063597823, 2986344703, 771752191, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3422552319, 0, 0, 3372220671, 1509949695, 704643327, 3355443455, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 0, 3422552319, 0, 134152192, 3187671295, 251658495, 0, 3439329535, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3422552319, 0, 0, 2332033279, 1342177535, 167772415, 3338666239, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 0, 3422552319, 0, 0, 436207871, 3322085628, 3456106751, 1375731967, 4278255360, 4026597120, 3758161664, 3489726208, 3204513536, 2952855296, 2684419840, 2399207168, 2130771712, 1845559040, 1593900800, 1308688128, 1040252672, 755040000, 486604544, 234946304, 4278255360, 4043374336, 3774938880, 3506503424, 3221290752, 2952855296, 2667642624, 2399207168, 2130771712, 1862336256, 1627453957, 1359017481, 1073805064, 788591627, 503379721, 218169088, 4278255360, 4043374336, 3758161664, 3506503424, 3221290752, 2952855296, 2684419840, 2415984384, 2130771712, 1862336256, 1577123584, 1308688128, 1040252672, 755040000, 486604544, 218169088, 4278190335, 4026532095, 3758096639, 3489661183, 3221225727, 2952790271, 2667577599, 2415919359, 2130706687, 1862271231, 1593835775, 1325400319, 1056964863, 771752191, 520093951, 234881279, 4278190335, 4026532095, 3758096639, 3489661183, 3221225727, 2952790271, 2667577599, 2415919359, 2130706687, 1862271231, 1593835775, 1325400319, 1056964863, 771752191, 503316735, 234881279, 4278190335, 4026532095, 3758096639, 3489661183, 3221225727, 2952790271, 2684354815, 2399142143, 2130706687, 1862271231, 1593835775, 1325400319, 1040187647, 771752191, 520093951, 234881279, 4294901760, 4043243520, 3774808064, 3506372608, 3221159936, 2952724480, 2684289024, 2399076352, 2147418112, 1862205440, 1593769984, 1308557312, 1040121856, 771686400, 503250944, 234815488, 4294901760, 4060020736, 3758030848, 3506372608, 3221159936, 2952724480, 2684289024, 2415853568, 2130640896, 1862205440, 1593769984, 1308557312, 1040121856, 771686400, 503250944, 234815488, 4294901760, 4043243520, 3774808064, 3489595392, 3237937152, 2952724480, 2684289024, 2415853568, 2147418112, 1862205440, 1593769984, 1325334528, 1056899072, 788463616, 503250944, 234815488,
32, 32,
4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 0, 0, 0, 0, 0, 0, 0, 0, 0, 268369920, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 1509949695, 3120562431, 4009754879, 4194304255, 3690987775, 2130706687, 83886335, 0, 50331903, 1694499071, 3170894079, 3992977663, 4211081471, 3657433343, 1879048447, 16777471, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3087007999, 2281701631, 1191182591, 1040187647, 2030043391, 4127195391, 2566914303, 0, 16777471, 3254780159, 2181038335, 1191182591, 973078783, 2030043391,4177527039, 2130706687, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 0, 0, 0, 0, 0, 2214592767, 4093640959, 0, 0, 0, 0, 0, 0, 0, 2298478847, 3909091583, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2214592767, 3607101695, 0, 0, 0, 0, 0, 0, 0, 1946157311, 4093640959, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 0, 0, 536871167, 1191182591, 2281701631,3019899135, 637534463, 0, 0, 0, 100597760, 251592704, 33488896, 0, 3321889023, 2919235839, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2550137087, 4278190335, 4278190335, 3405775103, 570425599, 0, 0, 0, 0, 0, 0, 2046820607, 4043309311, 620757247, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 33488896, 0, 0, 218104063, 1291845887, 3841982719, 3388997887, 0, 0, 0, 0, 0, 1996488959, 4093640959, 1073742079, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1761607935, 4278190335, 150995199, 0, 0, 67109119, 2550137087, 3909091583, 889192703, 0, 0, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 0, 0, 0, 0, 0, 2181038335, 3925868799, 0, 0, 218104063, 3070230783, 3623878911, 570425599, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 805306623, 3288334591, 1795162367, 1040187647, 1023410431, 2231369983, 4211081471, 1694499071, 0, 369099007, 3456106751, 3825205503, 1174405375, 872415487, 872415487, 872415487, 872415487, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4293984270, 2046951677, 3422552319, 4110418175, 4177527039, 3405775103, 1409286399, 0, 0, 1409286399, 4278190335, 4278190335, 4278190335, 4278190335, 4278190335, 4278190335, 4278190335, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760,4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 4294901760, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4278255360, 4144037632, 4009819904, 3875602176, 3741384448, 3607166720, 3472948992, 3338731264, 3204513536, 3053518592, 2936078080, 2801860352, 2650865408, 2516647680, 2382429952, 2264989440, 2113994496, 1996553984, 1862336256, 1728118528, 1577123584, 1459683072, 1325465344, 1191247616, 1040252672, 922812160, 771817216, 637599488, 503381760, 385941248, 234946304, 100728576, 4278255360, 4144037632, 4009819904, 3875602176, 3724607232, 3607166720, 3472948992, 3338731264, 3204513536, 3070295808, 2936078080, 2801860352, 2667642624, 2516647680, 2399207168, 2264989440, 2130771712, 1996553984, 1845559040, 1728118528, 1593900800, 1459683072, 1308688128, 1191247616, 1057029888, 922812160, 788594432, 637599488, 503381760, 369164032, 234946304, 117505792, 4278255360, 4144037632, 4009819904, 3875602176, 3741384448, 3607166720, 3472948992, 3338731264, 3204513536, 3053518592, 2919300864, 2801860352, 2650865408, 2533424896, 2399207168, 2264989440, 2113994496, 1996553984, 1862336256, 1728118528,1593900800, 1459683072, 1325465344, 1191247616, 1040252672, 906034944, 771817216, 654376704, 503381760, 369164032, 234946304, 117505792, 4278255360, 4144037632, 4009819904, 3858824960, 3741384448, 3607166720, 3472948992, 3338731264, 3204513536, 3070295808, 2936078080, 2801860352, 2667642624, 2533424896, 2382429952, 2264989440, 2130771712, 1979776768, 1862336256, 1728118528, 1577123584, 1442905856, 1325465344, 1191247616, 1040252672, 922812160, 771817216, 637599488, 503381760, 369164032, 234946304, 100728576, 4278255360, 4144037632, 4009819904, 3875602176, 3741384448, 3607166720, 3472948992, 3338731264, 3204513536, 3070295808, 2919300864, 2801860352, 2667642624, 2533424896, 2399207168, 2264989440, 2113994496, 1996553984, 1862336256, 1728118528, 1593900800, 1442905856, 1342241795, 1174470400, 1057029888, 906034944, 788594432, 654376704, 503381760, 385941248, 251723520, 100728576, 4278190335, 4160749823, 4026532095, 3892314367, 3741319423, 3623878911, 3472883967, 3338666239, 3221225727, 3070230783, 2952790271, 2818572543, 2667577599, 2533359871, 2399142143, 2264924415, 2147483903, 1996488959, 1862271231, 1728053503, 1593835775, 1459618047, 1325400319, 1191182591, 1056964863, 922747135, 788529407, 654311679, 520093951,385876223, 251658495, 117440767, 4278190335, 4160749823, 4026532095, 3892314367, 3741319423, 3623878911, 3489661183, 3355443455, 3221225727, 3087007999, 2936013055, 2801795327, 2667577599, 2533359871, 2399142143, 2281701631, 2130706687, 1996488959, 1862271231, 1728053503, 1593835775,1459618047, 1325400319, 1191182591, 1056964863, 922747135, 788529407, 654311679, 520093951, 385876223, 234881279, 100663551, 4278190335, 4160749823, 4026532095, 3892314367, 3758096639, 3623878911, 3489661183, 3355443455, 3221225727, 3087007999, 2936013055, 2801795327, 2667577599, 2550137087, 2415919359, 2264924415, 2130706687, 1996488959, 1862271231, 1728053503, 1593835775, 1459618047, 1325400319, 1191182591, 1056964863, 922747135, 788529407, 654311679, 503316735, 369099007, 251658495, 100663551, 4278190335, 4160749823, 4026532095, 3892314367, 3758096639, 3623878911, 3489661183, 3355443455, 3204448511, 3087007999, 2936013055, 2818572543, 2667577599, 2533359871, 2399142143, 2264924415, 2130706687, 1996488959, 1879048447, 1728053503, 1593835775, 1459618047, 1325400319, 1191182591, 1056964863, 922747135, 788529407, 654311679, 520093951, 385876223, 251658495, 117440767, 4278190335, 4160749823, 4026532095, 3892314367, 3758096639, 3623878911, 3489661183, 3355443455, 3221225727, 3087007999, 2952790271, 2818572543, 2667577599, 2533359871, 2399142143, 2264924415, 2147483903, 2013266175, 1862271231, 1744830719, 1610612991, 1476395263, 1342177535, 1191182591, 1056964863, 922747135, 788529407, 654311679, 520093951, 385876223, 251658495, 100663551, 4294901760, 4160684032, 4026466304, 3909025792, 3774808064, 3623813120, 3489595392, 3355377664, 3237937152, 3103719424, 2952724480, 2818506752, 2684289024, 2550071296, 2415853568, 2281635840, 2147418112, 2013200384, 1878982656, 1744764928, 1593769984, 1476329472,1325334528, 1207894016, 1056899072, 939458560, 788463616, 654245888, 520028160, 385810432, 251592704, 117374976, 4294901760, 4177461248, 4043243520, 3909025792, 3774808064, 3640590336, 3506372608, 3355377664, 3221159936, 3086942208, 2952724480, 2818506752, 2701066240, 2550071296, 2415853568, 2281635840, 2147418112, 2013200384, 1878982656, 1727987712, 1610547200, 1476329472, 1325334528, 1191116800, 1073676288, 922681344, 788463616, 654245888, 520028160, 385810432, 251592704, 100597760, 4294901760, 4177461248, 4043243520, 3909025792, 3774808064, 3640590336, 3489595392, 3372154880, 3237937152, 3103719424, 2952724480, 2818506752, 2700935170, 2550071296, 2415853568, 2281635840, 2147418112, 2013200384, 1878982656, 1744764928, 1610547200, 1459552256, 1342111744, 1191116800, 1056899072, 922681344, 788463616, 671023104, 520028160, 385810432, 251592704, 100597760, 4294901760, 4177461248, 4043243520, 3909025792, 3774808064, 3640590336, 3489595392, 3372154880, 3237937152, 3086942208, 2969501696, 2818506752, 2684289024, 2550071296, 2432630784, 2281635840, 2147418112, 2013200384, 1862205440, 1744764928, 1610547200, 1476329472, 1342111744, 1191116800, 1056899072, 922681344, 788463616, 654245888, 520028160, 385810432, 251592704, 117374976, 4294901760, 4177461248, 4043243520, 3909025792, 3774808064, 3623813120, 3506372608, 3372154880, 3237937152, 3103719424, 2952724480, 2835283968, 2684289024, 2550071296, 2432630784, 2281635840, 2147418112, 2046492676, 1862205440, 1744764928, 1610547200, 1476329472, 1342111744,1207894016, 1056899072, 939458560, 788463616, 654245888, 536281096, 385810432, 251592704, 134152192,
};
Display *d = XOpenDisplay(0);
int s = DefaultScreen(d);
Atom net_wm_icon = XInternAtom(d, "_NET_WM_ICON", False);
Atom cardinal = XInternAtom(d, "CARDINAL", False);
Window w;
XEvent e; w = XCreateWindow(d, RootWindow(d, s), 0, 0, 200, 200, 0,
CopyFromParent, InputOutput, CopyFromParent, 0, 0);
int length = 2 + 16 * 16 + 2 + 32 * 32;
XChangeProperty(d, w, net_wm_icon, cardinal, 32, PropModeReplace, (const unsigned char*) buffer, length);
XMapWindow(d, w);
while(1)
XNextEvent(d, &e);
(void)argc, (void)argv;
}
If 32 bit depth visual is available (check xdpyinfo) then code from my question should work for you. After you create RGBA pixmap just assign it's handle to _NET_WM_ICON property
Related
Laravel sortBy multiple values and multiple keys
I'm trying to figure out the best way to sort by multiple values and multiple keys at once.
I have the following "sort sequence";
sort by "finished or not"
sort by "out of time or not"
sort by "points in total"
sort by "points for your time"
sort by "points for each 'secret time control', can be null, then you end up at the end of that sorting"
sort by "the distance driven"
I currently have something like this of response (sorted);
[
{
"team_number": 201,
"points_for_time": 0,
"detail_points_for_time": {
"tc_start": 0,
"tc_round_in": 0,
"tc_stop": 0
},
"points_for_gtc": 1,
"detail_points_for_gtc": [
0,
1
],
"points_for_distance": 0,
"missed_controls": 100,
"out_of_time": false,
"dnf": false,
"total": 101
},
{
"team_number": 202,
"points_for_time": 2,
"detail_points_for_time": {
"tc_start": 0,
"tc_round_in": 0,
"tc_stop": 2
},
"points_for_gtc": 0,
"detail_points_for_gtc": [],
"points_for_distance": 0,
"missed_controls": 100,
"out_of_time": false,
"dnf": false,
"total": 102
},
{
"team_number": 203,
"points_for_time": 0,
"detail_points_for_time": 0,
"points_for_gtc": 0,
"detail_points_for_gtc": 0,
"points_for_distance": 0,
"missed_controls": 0,
"out_of_time": false,
"dnf": true,
"total": 0
},
{
"team_number": 204,
"points_for_time": 0,
"detail_points_for_time": 0,
"points_for_gtc": 0,
"detail_points_for_gtc": 0,
"points_for_distance": 0,
"missed_controls": 0,
"out_of_time": false,
"dnf": true,
"total": 0
},
{
"team_number": 205,
"points_for_time": 0,
"detail_points_for_time": 0,
"points_for_gtc": 0,
"detail_points_for_gtc": 0,
"points_for_distance": 0,
"missed_controls": 0,
"out_of_time": false,
"dnf": true,
"total": 0
},
{
"team_number": 206,
"points_for_time": 0,
"detail_points_for_time": 0,
"points_for_gtc": 0,
"detail_points_for_gtc": 0,
"points_for_distance": 0,
"missed_controls": 0,
"out_of_time": false,
"dnf": true,
"total": 0
},
{
"team_number": 207,
"points_for_time": 0,
"detail_points_for_time": 0,
"points_for_gtc": 0,
"detail_points_for_gtc": 0,
"points_for_distance": 0,
"missed_controls": 0,
"out_of_time": false,
"dnf": true,
"total": 0
},
{
"team_number": 208,
"points_for_time": 0,
"detail_points_for_time": 0,
"points_for_gtc": 0,
"detail_points_for_gtc": 0,
"points_for_distance": 0,
"missed_controls": 0,
"out_of_time": false,
"dnf": true,
"total": 0
},
{
"team_number": 209,
"points_for_time": 0,
"detail_points_for_time": 0,
"points_for_gtc": 0,
"detail_points_for_gtc": 0,
"points_for_distance": 0,
"missed_controls": 0,
"out_of_time": false,
"dnf": true,
"total": 0
}
]
So the goal here is, that I get a full sorting based on the above "sequence".
I currentmy use this;
$results = $results->sortBy('total')
->sortBy('points_for_time')
->sortBy('points_for_gtc') // this is an issue, since it puts you below someone else when you have less points
->sortBy('points_for_distance')
->sortBy('out_of_time')
->sortBy('dnf');
There is another "field" I have, detail_points_for_gtc, which holds the points (in order) for each "time control".
The possibility exists that there is nothing filled in, if so, then you should be at the end of the list. it's also possible that the value is null. Then it should be sorted at the end.
I have no idea on how I can sort on the detail_points_for_gtc, and if this sorting is "the correct sorting"?
Anyone who understands the question and may be able to help?
I think you can try this; // you can send column and direction from request or where you need $results = $request->direction == 'asc' ? $results->sortBy($request->column) : $results->sortByDesc($request->column);
Printing tchar array as unicode string rust winapi
I'm using the winapi to grab a list of the current processes running on the system, here's my code:
use winapi::um::tlhelp32::{Process32Next, Process32First, CreateToolhelp32Snapshot, TH32CS_SNAPPROCESS, PROCESSENTRY32};
use winapi::um::winnt::HANDLE;
use winapi::um::handleapi::CloseHandle;
use std::mem::size_of;
...
fn get_processes() {
let h_process_snap: HANDLE;
// really, rust?
let mut pe32 = &mut PROCESSENTRY32{
dwSize: 0,
cntUsage: 0,
th32ProcessID: 0,
th32DefaultHeapID: 0,
th32ModuleID: 0,
cntThreads: 0,
th32ParentProcessID: 0,
pcPriClassBase: 0,
dwFlags: 0,
szExeFile: [0; 260],
};
unsafe {
h_process_snap = CreateToolhelp32Snapshot(TH32CS_SNAPPROCESS, 0);
}
pe32.dwSize = size_of::<PROCESSENTRY32>() as u32;
unsafe {
if Process32First(h_process_snap, pe32) == 0 {
CloseHandle(h_process_snap);
println!("can't get a process snapshot");
// TODO: return
}
while Process32Next(h_process_snap, pe32) != 0 {
println!("{:?}", pe32.szExeFile);
}
}
}
...
Now I'm trying to print the actual name of the process, in C++, this can be done using cout or wcout.
When I use println!("{:?}", pe32.szExeFile);, this is what I get:
[115, 117, 112, 101, 114, 102, 52, 45, 114, 117, 115, 116, 46, 101, 120, 101, 0, 116, 46, 101, 120, 101, 0, 98, 108, 101, 83, 104, 101, 108, 108, 46, 69, 120, 112, 101, 114, 105, 101, 110, 99, 101, 115, 46, 84, 101, 120, 116, 73, 110, 112, 117, 116, 46, 73, 110, 112, 117, 116, 65, 112, 112, 46, 101, 120, 101, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
I don't really understand how to work with this, how can I print the pe32.szExeFile as a Unicode string in rust?
see also: https://docs.rs/winapi/0.3.6/winapi/um/tlhelp32/struct.PROCESSENTRY32.html
Thanks to #IInspectable, I used the explicit Unicode versions, e.g. Process32FirstW, and from_wide to print the values in readable format:
let os_string = OsString::from_wide(&pe32.szExeFile[..]);
// ExeFile names have a lot of trailing 0's, remove them...
let exe_files: String = os_string.into_string().unwrap().replace("\u{0}", "");
println!("{:?}", exe_files);
Cythonizing function containing too many arrays
Running setup.py on the code below takes some seconds to finish; however, by increasing number of arrays to 20k, .pyd is not generated after 2 hours of running the setup on windows XP 32 bit. Should I use a specific definition for the arrays? import numpy import scipy.interpolate from scipy.interpolate import interp2d x = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11] y = [0.1, 0.2, .3, 0.4, 0.5, 0.6, .7, 0.8, .9, 1, 1.1, 1.2, 1.3, 1.4, 1.5, 1.6, 1.7, 1.8, 1.9, 2, 2.1, 2.2, 2.3, 2.4, 2.5, 2.6, 2.7, 2.8, 2.9] def interpolate(DATA,x_new,y_new): var1 = DATA[0] var2 = DATA[1] f = interp2d(y,x,var1,kind='linear') k1 = f(y_new,x_new) f = interp2d(y,x,var2,kind='linear') k2 = f(y_new,x_new) return (k1[0],k2[0]) def function(condition1,condition2,param1,param2): Data1_var1=[[6L, 5L, 8L, 8L, 9L, 3L, 2L, 1L, 1L, .7, 5.7, 4.8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [5L, 1L, 9L, 5L, 4L, 8L, 9L, 3L, 9.5, 7.2, 5.5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2L, 3L, 9L, 8L, 4L, 2L, 6L, 2L, 8, 7, 5.1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [8L, 3L, 8L, 4L, 2L, 2L, 4L, 1L, .8, .1, 4.6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [6L, 5L, 4L, 2L, 1L, 6L, 1L, 8, .8, 5.4, 4.2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [5L, 4L, 3L, 2L, 7L, 3L, 1L, 8L, 6.3, 5.2, 4.1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [4L, 3L, 2L, 2L, 1L, 3L, 1L, 8.4, 6.8, 5.6, 4.4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [6L, 1L, 6L, 2L, 1L, 4L, 1L, 9.2, 6, 6.3, 5L, 4.2, 3.5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [3L, 7L, 4L, 1L, 6L, 4L, 2L, .8, 8.3, 7L, .6, 4.8, 4.1, 3.7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2L, 4L, 1L, 8L, 6L, 1L, 2L, 10L, 8.9, 7.7, 6.5, 5.6, 5L, 4.6, 4.1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2L, 3L, 2L, 7L, 5L, 3L, 2L, 10L, 9.2, 8.1, 6.9, .1, .6, 5.1, 4.6, .2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]] Data1_var2=[[6L, 5L, 8L, 8L, 9L, 3L, 2L, 1L, 1L, .7, 5.7, 4.8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [5L, 1L, 9L, 5L, 4L, 8L, 9L, 3L, 9.5, 7.2, 5.5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2L, 3L, 9L, 8L, 4L, 2L, 6L, 2L, 8, 7, 5.1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [8L, 3L, 8L, 4L, 2L, 2L, 4L, 1L, .8, .1, 4.6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [6L, 5L, 4L, 2L, 1L, 6L, 1L, 8, .8, 5.4, 4.2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [5L, 4L, 3L, 2L, 7L, 3L, 1L, 8L, 6.3, 5.2, 4.1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [4L, 3L, 2L, 2L, 1L, 3L, 1L, 8.4, 6.8, 5.6, 4.4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [6L, 1L, 6L, 2L, 1L, 4L, 1L, 9.2, 6, 6.3, 5L, 4.2, 3.5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [3L, 7L, 4L, 1L, 6L, 4L, 2L, .8, 8.3, 7L, .6, 4.8, 4.1, 3.7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2L, 4L, 1L, 8L, 6L, 1L, 2L, 10L, 8.9, 7.7, 6.5, 5.6, 5L, 4.6, 4.1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2L, 3L, 2L, 7L, 5L, 3L, 2L, 10L, 9.2, 8.1, 6.9, .1, .6, 5.1, 4.6, .2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]] Data2_var1=[[9L, 4L, 8L, 8L, 9L, 3L, 2L, 1L, 1L, .7, 5.7, 4.8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [3L, 1L, 9L, 5L, 4L, 8L, 9L, 3L, 9.5, 7.2, 5.5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2L, 3L, 9L, 8L, 4L, 2L, 6L, 2L, 8, 7, 5.1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [8L, 3L, 8L, 4L, 2L, 2L, 4L, 1L, .8, .1, 4.6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [6L, 5L, 4L, 2L, 1L, 6L, 1L, 8, .8, 5.4, 4.2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [5L, 4L, 3L, 2L, 7L, 3L, 1L, 8L, 6.3, 5.2, 4.1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [4L, 3L, 2L, 2L, 1L, 3L, 1L, 8.4, 6.8, 5.6, 4.4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [6L, 1L, 6L, 2L, 1L, 4L, 1L, 9.2, 6, 6.3, 5L, 4.2, 3.5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [3L, 7L, 4L, 1L, 6L, 4L, 2L, .8, 8.3, 7L, .6, 4.8, 4.1, 3.7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2L, 4L, 1L, 8L, 6L, 1L, 2L, 10L, 8.9, 7.7, 6.5, 5.6, 5L, 4.6, 4.1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2L, 3L, 2L, 7L, 5L, 3L, 2L, 10L, 9.2, 8.1, 6.9, .1, .6, 5.1, 4.6, .2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]] Data2_var2=[[4L, 5L, 8L, 8L, 9L, 3L, 2L, 1L, 1L, .7, 5.7, 4.8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [6L, 1L, 9L, 5L, 4L, 8L, 9L, 3L, 9.5, 7.2, 5.5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1L, 5L, 9L, 8L, 4L, 2L, 6L, 2L, 8, 7, 5.1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [8L, 3L, 8L, 4L, 2L, 2L, 4L, 1L, .8, .1, 4.6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [6L, 5L, 4L, 2L, 1L, 6L, 1L, 8, .8, 5.4, 4.2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [5L, 4L, 3L, 2L, 7L, 3L, 1L, 8L, 6.3, 5.2, 4.1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [4L, 3L, 2L, 2L, 1L, 3L, 1L, 8.4, 6.8, 5.6, 4.4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [6L, 1L, 6L, 2L, 1L, 4L, 1L, 9.2, 6, 6.3, 5L, 4.2, 3.5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [3L, 7L, 4L, 1L, 6L, 4L, 2L, .8, 8.3, 7L, .6, 4.8, 4.1, 3.7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2L, 4L, 1L, 8L, 6L, 1L, 2L, 10L, 8.9, 7.7, 6.5, 5.6, 5L, 4.6, 4.1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2L, 3L, 2L, 7L, 5L, 3L, 2L, 10L, 9.2, 8.1, 6.9, .1, .6, 5.1, 4.6, .2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]] if condition1: if condition2: out = interpolate(Data1,param1,param2) else: out = interpolate(Data2,param1,param2)
Obtain sub-cv::Mat from a given image such that
I have a processed an image that returns a Mat say: [ [ 0, 0, 255, 255, 255, 0, 0, 0], [ 0, 0, 0, 255, 0, 0, 0, 0], [ 0, 0, 0, 0, 0, 0, 0, 0], [ 0, 0, 0, 0, 0, 0, 0, 0], [ 0, 0, 0, 0, 0, 0, 0, 0], [ 0, 0, 0, 0, 0, 255, 255, 0], [ 0, 0, 0, 0, 0, 255, 255, 0], [ 0, 0, 0, 0, 0, 0, 0, 0] ] are there any segmentation functions that can help me isolate individually ? if not so what would be the best approach ? i.e. say if i do mysegment(Mat a,0) should return [ [ 0, 0, 255, 255, 255, 0, 0, 0], [ 0, 0, 0, 255, 0, 0, 0, 0], [ 0, 0, 0, 0, 0, 0, 0, 0], [ 0, 0, 0, 0, 0, 0, 0, 0], [ 0, 0, 0, 0, 0, 0, 0, 0], [ 0, 0, 0, 0, 0, 0, 0, 0], [ 0, 0, 0, 0, 0, 0, 0, 0], [ 0, 0, 0, 0, 0, 0, 0, 0] ] then mysegment(Mat a,1) will return [ [ 0, 0, 0, 0, 0, 0, 0, 0], [ 0, 0, 0, 0, 0, 0, 0, 0], [ 0, 0, 0, 0, 0, 0, 0, 0], [ 0, 0, 0, 0, 0, 0, 0, 0], [ 0, 0, 0, 0, 0, 0, 0, 0], [ 0, 0, 0, 0, 0, 255, 255, 0], [ 0, 0, 0, 0, 0, 255, 255, 0], [ 0, 0, 0, 0, 0, 0, 0, 0] ] I consider continuous 255 pixels to be a block. Now I want to iterate over or process these blocks ... since more than one block can be formed in a matrix.
You can use contours findContours( canny_output, contours, hierarchy, CV_RETR_TREE, CV_CHAIN_APPROX_SIMPLE, Point(0, 0) ); the link to the library
3D skew transformation matrix along one coordinate axis
Is there a way to calculate the skew transformation matrix along one coordinate axis, given the skew angle, as follows
This should work for the most part for skewing an object with a transformation matrix, in particular using glMultMatrix(matrix)
matrix1[] = {
1, 0, 0, 0,
tan(a), 1, 0, 0,
0, 0, 1, 0,
0, 0, 0, 1
};
matrix2[] = {
1, 0, 0, 0,
0, 1, 0, 0,
tan(a), 0, 1, 0,
0, 0, 0, 1
};
matrix3[] = {
1, tan(a), 0, 0,
0, 1, 0, 0,
0, 0, 1, 0,
0, 0, 0, 1
};
matrix4[] = {
1, 0, 0, 0,
0, 1, 0, 0,
0, tan(a), 1, 0,
0, 0, 0, 1
};
matrix5[] = {
1, 0, tan(a), 0,
0, 1, 0, 0,
0, 0, 1, 0,
0, 0, 0, 1
};
matrix6[] = {
1, 0, 0, 0,
0, 1, tan(a), 0,
0, 0, 1, 0,
0, 0, 0, 1
};