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britthelms8-blog · 5 years

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Buying Tips For Remote Control Helicopters

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moregraceful · 4 months

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Making a new rule for the Cuda which is that if I have friends visiting and I take them out to enjoy a nice game of hockey, the Cuda are not allowed to embarrass me!!

#this team is so funny. and so bad at hockey. and i love them #also: i was observing the swede to swede relationships looking for narrative #and gawanke kept inserting himself into chrona's space even when magnus was talking to petey!!#i'm keeping my eyes open i'm watching #leon looking AWFULLY friendly with chrona while all our canadians fail to defend...and scoring a goal....🧐🧐🧐#and petey stick close to magnus during stoppages...while leon hovers...oh i'm cooking with gas #also oskar lindblom being INVOLVED but not INTIMATELY like oh he knows something he's aware of something #but what!!!!#usually i am an old man fucker but our old man are EMBARRASSING ME and are COMPLETELY VIBELESS #so i gotta focus on the europeans #šimmer was out today and u could tell it was stressing the dmen out not to have an old man to be psychosexually obsessed with #san jose bb cuda hockey...love and peace on planet earth #fresno oilers.txt #bb cuda

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led123123 · 3 years

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ok. today maybe I’ll learn this command line..

do I have it installed already..

yes.. I have it

https://www.ffmpeg.org/general.html#AMD-AMF_002fVCE

and this option also is available already without installing anything

https://stackoverflow.com/questions/45181730/ffmpeg-encode-x264-with-amd-gpu-on-windows

options

https://opensource.com/article/17/6/ffmpeg-convert-media-file-formats

“The command ffmpeg -codecs will print every codec FFmpeg knows about. The output of this command will change depending on the version of FFmpeg you have installed.”

“h264 H.264 / AVC / MPEG-4 AVC / MPEG-4 part 10 (decoders: h264 h264_qsv h264_cuvid ) (encoders: libx264 libx264rgb h264_amf h264_nvenc h264_qsv nvenc nvenc_h264 )“

so if I use the.. hardware acceleration command.. it should automatically detect the.. hardware codec?

why handbrakes doesn’t support.. I mean.. I still don’t know if there is this option available in command line

“ External wrapper decoders are used by setting a specific decoder with the -codec:v option. Typically they are named codec_api (for example: h264_cuvid) “

damn.. for decoding and encoding.. there’s 2 codecs..

ffmpeg -hwaccel_device 0 -hwaccel cuda -i input -vf scale_npp=-1:720 -c:v h264_nvenc -preset slow output.mkv

ok.. so.. decoding codec.. is specified.. before the -i parameter.. and encoding is specified after input parameter

https://stackoverflow.com/questions/45181730/ffmpeg-encode-x264-with-amd-gpu-on-windows

there are all the options

all the options that handbrake doesn’t have.. can I use them in handbrake?? no.. they weren’t on the list

https://handbrake.fr/docs/en/latest/technical/video-vce.html

there’s less options

this encoder options are a lot more different

https://github.com/HandBrake/HandBrake/issues/1762#issuecomment-450376269

“We had a similar issue with NVENC where an encoder option needed to be set to force IDR frames whenever HandBrake needed a keyframe at a chapter boundary. Looking at the AMD amfenc code, there isn't even a way to force a keyframe. It ignores the frame flag we set that forces one of these. I don't know the amf encoder api well enough to say whether this is fixable or not. “

why they add some weird options.. instead of just.. letting people use the ffmpeg options.

why won’t they just let people use ffmpeg options instead of adding their own customized options that nobody understands.. god..

why they have to make a bigger mess out of this.. it’s like.. using ffmpeg.. so why are they making it 2 times more complicated.. by creating more of their own commands..

https://support.medialooks.com/hc/en-us/articles/360000210192-H-264-encoding-options#AMD%20AMF

so like.. these are the ffmpeg options??

ok like.. which one is the.. keyframe interval option

https://en.wikipedia.org/wiki/Video_compression_picture_types

this may be.. the.. “delta qp” parameter maybe

for B-frames

one of these options has to be keyframe interval

“ B-Picture Delta QP “ means.. b-picture quality difference

so.. my brain was melting.. so.. like.. this.. pumpkin.. actually turned out to be a melon.. what the.. so I made french fries instead.. that’s 3rd day in a row eating potatoes.. but. I’m like.. who doesn’t like french fries..

those are melons.. they taste disgusting..

national squash day date moved to the next year

they’re good with ketchup. haven’t eaten french fries with ketchup for long time

https://youtu.be/Ur8Mpgc53ts

https://youtu.be/Ur8Mpgc53ts?t=98

https://youtu.be/Ur8Mpgc53ts?t=118

https://youtu.be/66dmNlOCpY0?t=117

https://youtu.be/66dmNlOCpY0?t=231

poreiro

nuber seben

and I wanted to get better at peelling potatoes

so I had a little bit more practice

https://youtu.be/7ZYcb57btNU?t=9

https://youtu.be/7ZYcb57btNU?t=38

https://youtu.be/7ZYcb57btNU?t=153

https://youtu.be/7ZYcb57btNU?t=171

https://youtu.be/7ZYcb57btNU?t=210

https://youtu.be/7ZYcb57btNU?t=239

it looked like a pumpkin but it’s a melon

https://youtu.be/hfiPI540DFI

it’s so bad

and then I grabbed something to drink.. and it appeared to be also a melon.. juice..

https://youtu.be/0AzVPH4HC6k?t=128

do they have more videos with this dude talking on the phone??

https://youtu.be/hfiPI540DFI?t=343

https://youtu.be/hfiPI540DFI?t=446

https://youtu.be/yM9z-h2vIPo?t=10

https://youtu.be/vyr6oqU-0gs

https://youtu.be/9uFtaOICl7c?t=52

https://youtu.be/W-N5HkbZpT0

https://www.youtube.com/c/%E7%BE%85%E5%B0%8F%E7%99%BDSwhite%E5%AE%98%E6%96%B9%E9%A0%BB%E9%81%93/videos

https://youtu.be/vyr6oqU-0gs

https://youtu.be/04pwoYzbVjk

https://youtu.be/Y8YL29QcAs4?t=20

https://youtu.be/XMIMehEBubo?t=233

https://youtu.be/hfiPI540DFI?t=475

this melon is so disgusting..

I’m getting sleeping after eating

https://youtu.be/O7DNZuDigNA?t=93

https://youtu.be/O7DNZuDigNA?t=106

https://youtu.be/kkg4pO8RgWM

https://youtu.be/bsS_7EEYx1Y?t=22

I had broken mixer.. I mean.. it was getting.. like.. it works but it smells bad.. when it’s being used for like.. few minutes

https://youtu.be/eeXXz_qTXVM

national squash day postponed by a year

which parameter.. means frametime interval..

https://youtu.be/E4TygUpWUTQ?t=41

they didn’t ban me yet..

but I like killing noobs.. in low rank games..

I mean.. they’re not bad..

https://youtu.be/E4TygUpWUTQ?t=229

easiest is gold

nice landing.. -36

not bad I removed some of the stuff

another team..

26k kills

somebody has no life

finally normal platinum 4 squad

how the f*ck did I get arced..

he f*cking arced me?? what the..

damn ninjas..

how

it is just not possible..

why they hit me every single time like.. one clipping.. arcing..

I do play caustic though.. he has a big hitbox..

how is it possible..

and these idiots spamming text chat..

jumping in between 2 squads..

literally.. arcing me..

literally arcing me and I can’t move my cursor

like.. wingman.. is like.. it was impossible to hit any shots.. they had snipers.. and.. like.. I was shooting.. like.. in a straight line.. so the bullet drop was the highest.. so I couldn’t hit anybody

ok.. so like.. what is the gravity slow effect on bullets.. in this

if I shoot up bullets don’t seem to slow much

how far does a bullet fly if it’s shot up

this can be calculated by knowing initial speed of the bullet and bullet weight

or like.. no.. do I need bullet weight??

no.. I guess not.. like.. speed is.. like.. 0.7km/s

with sniper rifle.. with other weapons.. it’s.. like.. 300 or less.. with wingman.. it would be like.. less than 200

lets say 150m/s

gravity is.. 10m/s^2, so.. it would stop after.. like.. 15 seconds..

wow.. that’s a lot of time

15 seconds.. really??

it would also be slowed by air.. so it would be less

if there was no air slow then it would be 15 seconds

damn these people with 26k kills

I’m easier to hit with caustic

and I’m losing rades.. with snipers.. because it’s easier to hit me

I can bunker up I’m easier to hit in trades with snipers

I’m like.. 2 times easier to hit

snipers can hit me more easily

I wanted to play more.. but.. like.. games.. are not going too well

what else to do..

every single game is with teams..

I’m like.. 80 hp.. so he has.. like.. g7 scout.. so he needs 3 shots on me.. and I have highground.. so I though that I should get him.. and then he starks me.. and mouse is getting slowed.. so I can’t move aim

https://youtu.be/E4TygUpWUTQ?t=223

https://youtu.be/E4TygUpWUTQ?t=199

it’s a painted sponge..

https://youtu.be/E4TygUpWUTQ?t=224

https://youtu.be/Q2meWkWqc-I?t=76

she kinda looks like her

https://youtu.be/Q2meWkWqc-I?t=135

I mean.. the use similar colors in the video.. purple..

https://youtu.be/E4TygUpWUTQ?t=226

https://youtu.be/v3kyYoDdtb8

these apples are not sweet..

red prince?? really??

it’s not a prince.. it’s peasant at most

https://youtu.be/E4TygUpWUTQ?t=223

lol.. she made a shocking expression.. and she hit him second time a second after.. that’s so funny

https://youtu.be/E4TygUpWUTQ?t=270

no... I finally know how she looks like.. a-yeon

https://www.youtube.com/channel/UCdld7SHk9IyYSkNrHA9B6Dw

finally.. figured out..

finally figured it out

https://youtu.be/vyr6oqU-0gs

https://youtu.be/-6w_3P_l5FA

https://youtu.be/9b6lWVqSXgo?t=24

https://youtu.be/E4TygUpWUTQ?t=222

https://www.youtube.com/c/%EA%B1%B8%EB%BD%80/videos

I was sleepy and I still haven’t slept.. after eating

https://youtu.be/zdoB2TPqWxs?t=195

these songs are so short..

I should have slept

https://youtu.be/E4TygUpWUTQ?t=223

what the heck.. like.. eating sleeping.. where is time for playing games..

I don’t even have time to play games.. damn.. right.. I was learning this.. command line today.. that’s why time went by so fast and I didn’t even have time to play

this is why I didn’t have time to sleep..

damn I should have slept like.. I think it would be like.. 20 minutes or something..

now I feel kinda.. still want to sleep

I should have just.. gone to sleep.. jesus christ..

damn..

how am I supposed to compete with people who have 26k kills

should I go back to wraith.. or.. any other champion with smaller hitbox??

I got really close to the solution with this command line.. but.. like.. still don’t know which parameter.. and.. what value I need to set..

https://youtu.be/E4TygUpWUTQ?t=223

https://youtu.be/E4TygUpWUTQ?t=222

I wanna get back to dota more and more.. thinking more and more about getting back to dota

I don’t know.. it kinda.. drives.. me.. like.. people that are there.. like.. I don’t know..

muting text chat every time..

15% damage reduction.. and.. like.. -5% damage reduction.. or.. like.. 45% hitbox reduction..so like.. trading like.. it’s like.. 22% damage reduction vs 45% smaller hitbox.. which is like.. actually.. like.. damage reduction.. because you get hit less times.. especially at long range

damn snipers..

and.. like.. ye.. I just.. get hit almost 2 times more times

because of the hitbox..

imagine me shooting at wraith.. across the map

with wingman

I would miss 2 times more often

and this dude starked me.. like.. that’s just mindblowing

ninjas

https://youtu.be/04pwoYzbVjk?t=299

https://youtu.be/0AzVPH4HC6k?t=43

https://youtu.be/7ZYcb57btNU?t=239

https://youtu.be/7ZYcb57btNU?t=171

ye I was looking for this part where he was talking to a ruler

https://youtu.be/7ZYcb57btNU?t=209

yes. I didn’t watch to the end..

but caustic has gas

and I don’t have to hear this loud slowing effect..

https://www.gamesradar.com/apex-legends-hitboxes/#:~:text=The%20confirmed%20Apex%20Legends%20hitboxes,44%20square%20cm%20%2D%2033%25%20increase

omg.. bloodhound has such a tiny hibox now?? omg..

watson and crypto the same as wraith??

no.. lifeline and bloodhund the same.. wattson.. the same.. omg.. ok.. I’m gonna maybe play bloodhund.. everyone is playing bloodhund now..

so many people are playing bloodhund

so many bloodhounds in the game

caustic is 105%.. that’s even worse

I though it was 90%.. 90% is pathfinder..

bloodhound lifeline wattson or wraith then

gameplan

plan works

again.. 2 headshots in a row.. with wingman

they were shooting a lot at me but they didn’t hit any shots.

omg. watson lifeline wraith

they shot at me 3 people at the same time.. and I died in like.. half a second

and they hit all wingman shots

how did they all had line of sight on me

lol wraith is really short.. I knew that it’s a stupid idea to go outside zone.. and.. they didn’t even wanna push them.. like.. they let them res the one that I downed.. jesus.. like.. why were they not pushing..

when I downed one dude.. they didn’t push.. I killed him with 2 wingman body shots and one headshot

https://youtu.be/8cRBO8bDn6Q?t=40

my squad didn’t move at all

so I backed

lifeline wattson again

https://youtu.be/3idAooHqySw

people who chase forever.. I just turn on them and kill his teammate

https://youtu.be/3idAooHqySw?t=55

2 headshots but with lvl 3 helmet it’s only 61 damage.. not that much more

https://youtu.be/u6K6kQFASUc?t=93

https://youtu.be/u6K6kQFASUc?t=28

https://youtu.be/u6K6kQFASUc?t=104

https://youtu.be/E4TygUpWUTQ?t=259

and she looks like

https://youtu.be/WIPhgoockNA?t=12

https://youtu.be/q_eo5j5sib8?t=64

I guess she looks the most like this girl

they make videos without pauses..

and.. like.. their videos are longer.. and.. there’s more happening

there are no long solo vocal parts

or long solo instrument parts

https://youtu.be/E4TygUpWUTQ?t=200

like here I mean.

https://youtu.be/E4TygUpWUTQ?t=213

and there’s a lot of repetitions

in that song

like she doesn’t have enough lyrics to sing. I mean.. I don’t understand korean

a lot of repetitions and like.. the intro ends too fast.. it starts with chorus.. and there’s no verse right away

I think there should be verse

it shouldn’t stop right after it started

https://youtu.be/E4TygUpWUTQ?t=252

repetitions.

https://youtu.be/E4TygUpWUTQ?t=113

music video is interesting

makes more sense to me after seeing it few times..

https://youtu.be/q_eo5j5sib8?t=161

yes she looks the most like her.. she looks a lot like her

right? she looks a lot like her really similar

ok I guess the pagefile on hard drive works

https://youtu.be/7ZYcb57btNU?t=238

https://www.twitch.tv/videos/786484419?t=1h42m9s

saidy

https://youtu.be/HGFh4IjX5Pk?t=235

this sounds like one other song

https://youtu.be/cz6kwiDsfcc?t=52

with wraith they can’t hit me now.. 2 times less chance that I get hit

what legend is she playing..

https://youtu.be/E4TygUpWUTQ?t=222

ok like.. condensed milk is like.. what? sugar and milk??

I had like.. low blood circulation in arms.. so I laid on bed for a while

and stretched.. I should have stretched more.. but..

it’s getting late.. and I need to go to sleep soon.. I guess. so.. I did it fast..

yes. and a f*cking disconnect..

what the f*ck..

what a f*cking joke. why do I get a disconnect so often at night

what the fuck

I had like.. 3 times disconnect at this time recently

this time it was 1 minute.. but previously it was.. like.. sometimes hour sometimes even like.. few hours

what a joke.

this was my game.. I had wingman on the start

with lvl 3 heavy mag

and a lot of loot

and volt

now I lost all remaining points and wait 10 minutes

https://youtu.be/ghuwJmRJr7k?t=3

she looks like her

f*ck this game.. jesus.. like.. plaing solo.. because team dies in the first 5 seconds of the game..

there’s no point of playing solo

they literally died both at once.. in like.. 2 seconds

they took all guns.. went and died

without any armor

https://youtu.be/NUApAvB8XSk

that’s my team guys.

знакомтесь

https://youtu.be/E4TygUpWUTQ?t=252

https://youtu.be/XNUkw5M1514

https://www.dailymail.co.uk/femail/article-3819946/I-t-make-happy-YouTube-star-Miranda-Sings-sobs-admits-divorcing-husband-just-one-year-heart-wrenching-video-watched-SIX-MILLION-times.html

https://youtu.be/XNUkw5M1514?t=53

I was saying that pitbulls are not like.. safe..

it looks like it’s old dog

https://youtu.be/XNUkw5M1514?t=352

https://youtu.be/XNUkw5M1514?t=380

https://youtu.be/XNUkw5M1514?t=402

imagine people who treat these dogs like normal dogs

https://youtu.be/XNUkw5M1514?t=453

he could kill her

https://youtu.be/XNUkw5M1514?t=525

she has some scratches

cerbers look the same

https://images.app.goo.gl/E1MwaqqvfghpwrNS9

cerbers in harry potter looked the same

https://youtu.be/W3wYABF20lo

esplod

https://youtu.be/W3wYABF20lo?t=797

https://youtu.be/W3wYABF20lo?t=873

australian maybe

https://youtu.be/W3wYABF20lo?t=901

https://youtu.be/W3wYABF20lo?t=1007

https://youtu.be/E4TygUpWUTQ?t=221

https://youtu.be/FZfFjvTEW_I

I wish I would buy 2nd monitor.. it’s not expensive

I’m like.. do I need anything else.. for this computer.. and I’m like.. like.. it’s kinda.. it has everything I actually don’t need anything

I could get 2nd monitor.. it’s cheap upgrade

I used to be like.. I felt like I will always want something else for it.. but.. well now it’s actually like.. has everything.. next thing that I would get.. would be.. like.. I would want like.. 64GB of ram.. but I would have to replace motherboard..

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illgy · 6 years

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mogłabyś polecić jakieś koreańskie kosmetyki ? 😋💕

Na początek pobierz sobie aplikacje cosmeticscan bo najważniejsze jest uzywanie produktów z dobrym składem!!!!Jeśli chodzi o olejek myjący to używałam paru, żaden nie rzucił mnie na kolana i teraz zamówiłam sobie ze strony biochemiaurody.pl olejek 100% naturalny, a jeszcze każdy osobny kosmetyk koreański kosztuje ok. 100zl co jest nieco uporczywe wiec serio polecam ta stronke bo za ten olejek zaplacilam jakieś 16zl. Do zmywania w tym kroku używam tej rękawiczki glove i fajnie się sprawdza. Kosmetyk do oczyszczania twarzy na bazie wody to u mnie teraz żel z zielonej serii iwostin ( ja w sumie króciutko go używam ale u @hellomln zdziałał cuda!!!!). Wcześniej używałam mydła z aleppo (chyba tak się nazywa) i tez jest super świetne. I zawsze myje twarz wtedy szczoteczka soniczna foreo luna :)Peelingu u mnie to poprostu korund (zamawiałam go kiedyś tez chyba z tej stronki biochemiaurody.pl) wymieszany z żelem którego akurat używam i bardzo mi odpowiada bo mogę sama stopniować sobie jak silny jest poziom złuszczania. Toniku teraz używam różanego z evree (moja mama mi go kupiła bo sprawdziła ze ma super skład!! 😜) Serum nie mam jeszcze żadnego sprawdzonego, widziałam ze dziewczyny w internecie polecały ten z dermedic ale pamietam ze chyba nie pasowało mi coś w składzie dlatego tez zamówiłam z biochemiaurody.pl za jakieś 30zl.Kremu nawilżającego nadal w sumie szukam, miałam sto milionów próbek i nadal nie znalazłam czegoś super. Gdyby nie to ze moja skóra potrzebuje nie tylko nawilżenia ale tez natłuszczenia to używałabym holika holika aloe, czasami traktuje go jak lekkie serum( uzywam go tez do włosów i jest super bo nie jest tłusty także nie zrobie sobie krzywdy a świetnie nawilża!!!).Zastanawiam się tez dłuższy czas nad maska na noc i postawie chyba na holika holika na bazie wina (nie pamietam dokładnie nazwy) bo czytałam same pozytywne opinie :))I maseczki w płachcie zamawiam nałogowo ze strony sklepu skin79 głównie te ze śluzem ślimaka!!! ale mam tez pare tych ze zwierzakamiA krem z filtrem mam jakiś z avène spf50+, bo akurat moja mama dostała przed świetami w prezencie od klienta ale jest całkiem git, tylko nie wiem jak z cena. A i jeszcze używam od niedawna kremów bb tez ze skin79 (testery po 7ml pomaranczowy i ze śluzem ślimaka i jeden normalnej wielkości w nude buteleczce z czarna nakrętka) i totalnie mi nie odpowiadają ale to może kwestia mojej skory :((( Nie wiem czy o czymś nie zapomniałam, ale jak coś to śmiało pisz :)))))

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fastcompression · 5 years

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Fast Discrete Wavelet Transform on CUDA

Wavelet analysis, which is the successor of the Fourier analysis, is based on the idea that the same information, the same signal can be represented in different forms, depending on the purpose. To translate a signal into another form, a basis is first chosen - a set of linearly independent functions, and the signal is represented as a sum of these functions with some coefficients. In the Fourier analysis, the basis consists of periodic harmonic functions sin(k*x) and cos(k*x), corresponding to oscillations with a certain frequency throughout the domain of definition. Thus, having obtained the Fourier transform of a signal, we can determine its frequency spectrum and see which oscillations it consists of. If the signal characteristics change (for example, in time for sound signals or in space for images), then we can decompose it into components by using wavelet analysis, in which the basis consists of shifts and scales of a certain mother wavelet function. In such representation of a signal, we can track changes in the frequency spectrum, as well as study the local structure of the signal at a certain frequency, at a certain scale.

The representation of data in the form of wavelet coefficients is usually more compact than the original representation. From the perspective of the information theory, such a representation has less entropy. Moreover, such a representation also allows to obtain an approximation of the original signal with a given accuracy, by using only a fraction of the wavelet coefficients. Due to this, 2D Discrete Wavelet Transform is actively used in image compression (e.g. in popular formats JPEG2000 and DJVU). And due to the ability of transition to multi-scale representation of data, it is also used in image enhancement algorithms, such as noise reduction, filtering, fast scaling, and in artificial intelligence applications, such as feature extraction and segmentation, in compressed sensing applications during signal reconstruction.

The Discrete Wavelet Transform (DWT) of a signal is obtained by sequential applying of two filters (low-pass and high-pass) with decimation to eliminate redundancy. Such an algorithm is called the Mallat algorithm and can be used both for decomposition and for reconstruction. As a result, a signal is decomposed into two components: approximation (lower resolution version) and details. By applying this decomposition repeatedly to low-frequency coefficients, a multi-scale decomposition is obtained, which is called dyadic. This allows us to obtain (and to adjust) information on a wider frequency spectrum: at each decomposition step, the frequency spectrum is doubled, and the minimum resolution is halved.

Since images are two-dimensional, their DWT-transformation is performed both vertically and horizontally. The result is four fragments (subbands) with half the width and half the height, one of which is a smaller copy of the image (LL subband), and the three remaining subbands contain information about the details – horizontal (HL), vertical (LH) and diagonal (HH). At each subsequent step of decomposition, the LL subband is replaced by four smaller subbands, so the total number of subbands increases by three. Similarly, an algorithm is constructed for signals of a higher dimension (e.g. for video sequences as 3D signals or for time-varying computed tomography results as 4D signals).

Fig. 1. Subbands of 2D wavelet coefficients after the first and the second DWT of an image

Many applications of the DWT are time-critical. Therefore, computation of the transform is often boosted by using specialized processors or accelerators, such as FPGA, accelerators with Intel MIC architecture, GPU graphics processors. GPUs have an excellent price-performance ratio and performance to power consumption ratio. Moreover, high-level programming platforms OpenCL and NVIDIA CUDA have contributed to their widespread use in various calculations due to the smooth learning curve, detailed documentation, and an extensive set of examples.

How to implement fast parallel DWT processing?

As a rule, instead of the Mallat separable convolutional algorithm, a lifting scheme is used for computation of DWT, because it has a number of theoretical and practical advantages. Among the theoretical advantages: it is easier to understand and explain (it is not relied on the Fourier transform), and the inverse transform is easily obtained by performing lifting steps in the reverse order. Moreover, if we use integer arithmetic, the absence of loss of accuracy (perfect reversibility) is guaranteed. Practical advantages are a smaller number of arithmetic operations (up to a factor of two), the ability to transform signals of arbitrary length (not only a multiple of 2n), possibility of fully in-place calculation (no auxiliary memory is needed). In addition, the lifting scheme can be used to construct wavelets of the second generation, in which the basis does not necessarily consist of shifts and scales of a certain function.

A considerable amount of research was performed on implementation of the wavelet transform on various platforms, including modern GPUs. The first studies were devoted to the comparison of the separable convolution-based algorithm and the lifting scheme, then the attention of researchers was completely switched to the effective implementation of the lifting scheme. The main difficulty that must be overcome when implementing a lifting scheme on GPU is the need of data exchange between threads after each lifting step. On GPU, data exchange within the threads of a single thread block is performed via shared memory, the size of which is very limited, while data exchange between thread blocks is relatively slow due to global memory access and synchronization of all threads of the kernel. Therefore, in order to achieve the best performance, it is necessary to choose such size of thread blocks and such size of arrays in shared memory that would balance the time for threads synchronization and the time for redundant calculations that are inevitable when the source data is divided into blocks.

For parallel processing of a two-dimensional image on the GPU, different strategies were proposed that can be divided into three groups:

Row-Column (RC)

Block-Based (BB)

Sliding window (SW)

RC methods transform an image as a whole, and a transposition operation is often used to speed up the vertical transformation. When the original image is too large, implementations from the first group will suffer from a lack of shared memory. Moreover, the performance of this approach is limited due to the need to write intermediate results (after column transformation) to global memory.

BB methods transform an image by dividing it into smaller blocks, and the row-column method is applied to each of them separately. Note that the correct result is achieved only in the case when these blocks overlap, where the blocks are extended in each direction on a few pixels depending on the type of wavelet. Such implementations use a limited amount of shared memory, independent of the image size, and they access global memory less frequently compared to RC methods.

Finally, methods of the third group transform an image by using column slabs with sliding window within each slab. The window allows you to keep intermediate results in shared memory longer. As a result, such methods can be considered a hybrid of the first two approaches.

After optimizations and implementations of all three methods, the researchers showed that the BB method is the most efficient, so we've chosen it for our implementation. Within this approach, the original image is divided into blocks of width M and height N, which need to be expanded by four pixels (four for a 4-step lifting scheme of CDF 9/7 and two for a 2-step lifting scheme of CDF 5/3) in each direction. As a result, intersecting blocks of size (M + 8) × (N + 8) can be processed without separate conditions for the boundary pixels. Parameters M and N are chosen empirically to maximize the performance.

Wavelets CDF 9/7 and CDF 5/3

The Cohen-Daubechies-Feauveau (CDF) wavelets belong to the family of biorthogonal wavelets, which, unlike orthogonal wavelets, can be symmetric. They were made popular by Ingrid Daubechies, and two members of this wavelet family (CDF 9/7 and CDF 5/3) are now used in the JPEG2000 image compression. The CDF 9/7 wavelet has four vanishing moments, which means that the corresponding high-frequency wavelet coefficients of a cubic polynomial signal are zero. The CDF 5/3 wavelet has only two vanishing moments, but its main feature is the existence of an integer implementation, which has no loss of accuracy (arising with most of the other wavelets due to rounding of irrational numbers). Due to this property of CDF 5/3, JPEG2000 algorithm has lossless compression mode.

Hardware and software for DWT benchmarking

CPU Intel Core i7-5930K (Haswell-E, 6 cores, 3.5–3.7 GHz)

GPU NVIDIA GeForce GTX 1080 (Pascal, 20 SMM, 2560 cores, 1.6–1.7 GHz)

OS Windows 10 (x64), version 1803

CUDA Toolkit 10.0

Fastvideo Image & Video Processing SDK 0.14.1

GPU DWT benchmarks

We've measured the DWT performance for CDF 9/7 and CDF 5/3 wavelets on 24-bit images (8 bits in each of 3 color channels) of different sizes (up to 8K Ultra HD). The number of DWT levels ranged from 1 to 5. The obtained results include only the processing time on GPU, because it is assumed that the original data is already in the GPU memory, and the result of the transformation will be written to the same memory.

From the tables and the figures you can see, that the two-level DWT is ~40% slower than the single-level DWT, while the five-level DWT is ~60% slower. It could be also seen, that the performance of DWT saturates on large images when there is enough work to load each multiprocessor of GPU.

Optimized DWT implementations of CDF 5/3 and CDF 9/7 are utilized in our JPEG2000 codec on CUDA.

Table 1. GPU DWT performance for 4K image (3840×2160, 24-bit)

Wavelet | DWT levels | Time, ms | Performance, GB/s | Frames per second

CDF 5/3 (int) | 1 | 1.28 | 18.2 | 784

CDF 5/3 (int) | 2 | 1.78 | 13.0 | 563

CDF 5/3 (int) | 5 | 2.10 | 11.8 | 476

CDF 9/7 (float) | 1 | 1.29 | 18.0 | 777

CDF 9/7 (float | )2 | 1.78 | 13.0 | 563

CDF 9/7 (float) | 5 | 2.10 | 11.8 | 476

Table 2. GPU DWT performance for 8K image (7680×4320, 24-bit)

Wavelet | DWT levels | Time, ms | Performance, GB/s | Frames per second

CDF 5/3 (int) | 1 | 4.28 | 21.6 | 233

CDF 5/3 (int) | 2 | 6.03 | 15.4 | 166

CDF 5/3 (int) | 5 | 6.79 | 13.7 | 147

CDF 9/7 (float) | 1 | 4.28 | 21.6 | 233

CDF 9/7 (float) | 2 | 6.18 | 15.0 | 162

CDF 9/7 (float) | 5 | 6.86 | 13.5 | 146

Fig. 2. Fastvideo DWT performance benchmarks on GeForce GTX 1080 for images of different sizes

Fig. 3. Fastvideo DWT frame rate on GeForce GTX 1080 for images of different sizes

Original article see at: https://www.fastcompression.com/benchmarks/benchmarks-dwt.htm

#wavelet #Fastvideo #Nvidia #Cuda #Data science

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yourtvvn · 4 years

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ctrl-info · 6 years

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Nvidia может представить GeForce GTX 1180 уже в следующем месяце

Nvidia запустила текущую линейку игровых видеокарт GeForce более двух лет назад, и следующее поколение, GeForce GTX 11 Series, мы сможем увидеть уже в августе. Хотя CEO компании Дженсен Хуан недавно сказал, что новые видеокарты GeForce «появятся нескоро», все указывает на то, что именно в следующем месяце компания покажет GeForce GTX 1180. Состоится это, вероятно, на ежегодной конференции Hot Chips в августе. Впрочем, представители Hot Chips тщательно это скрывают.

Сейчас Nvidia рассылает приглашения на Gamescom, который пройдет 21 августа (как раз по окончании Hot Chips), где состоится загадочное, связанное с ПК, событие. Кроме того, о скором выходе 11 серии GeForce GTX говорил менеджер по продукту Lenovo. Более того, Nvidia отметила день рождения Алана Тьюринга в Твиттере, и многие решили, что это намек, потому что видеокарты нового поколения будут основаны на платформе Turing от Nvidia. И наши коллеги с 2bitcoins.ru отметили снижение цен на 1080, возможно, в преддверии скорого анонса — а уж они-то следят.

Технические образцы GeForce GTX 1180 попали на снимки в Сети на прошлой неделе. На карте установлена дюжина модулей памяти Micron GDDR6, а эту память пока не поддерживает ни одна известная видеокарта. Micron только начала массовое производство GDDR6 на волне успеха GDDR5, представленных более 10 лет назад.

Ожидается, что GeForce GTX 1180 будет способна поддерживать игры в 4K-разрешении с частотой обновления 144 Гц. Acer и Asus начинают выпуск 4К-игровых мониторов, которые поддерживают обновление на 144 Гц, HDR и Nvidia G-Sync. Возможно, новые видеокарты из коробки будут поддерживать передачу изображения на гарнитуры виртуальной реальности на 120 Гц. 3584 ядра CUDA, тактовая частота от 1,6 до 1,8 ГГц и до 16 Гб памяти GDDR6 также затесались в сплетни.

Продажи видеокарт Nvidia в прошлом году взлетели из-за криптовалютного майнинга. Посмотрим, повторит ли компания прошлогодние результаты.

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howardlyontx · 6 years

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Russo and Steele Scottsdale 2018

Russo and Steele Scottsdale 2018 Preview

Sponsored by Russo and Steele January 10, 2018

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Following seventeen consecutive years in North Scottsdale as a staple of Arizona’s legendary collector car week, Russo and Steele, the most exciting collector automobile auction in the world is proud to announce its return to the Southwest’s premiere sports and entertainment complex, Salt River Fields at Talking Stick. The annual event, which takes place on January 17-21, 2018 will again feature their well-established “auction in the round” formula with five days and over 800 cars crossing the block. Home to many internationally recognized professional sporting events, as well as a national mainstay for a wide variety of festivals and entertainment, the 140-acre site continues to serve as the ultimate host to this highly anticipated annual collector automobile lifestyle event.

The location’s beautifully manicured fields will provide a premium concours style experience that will showcase the high quality, incredibly diverse range of offerings that Russo and Steele has forged its reputation on. Additionally, Salt River Fields at Talking Stick’s highly centralized and easily accessible location, right off the Loop 101 will put them directly at the epicentre of all the action during Arizona Car Week.

Featured offerings up for grabs at Russo and Steele’s 2018 Scottsdale Collector Automobile Extravaganza include:

#2032 1964 Chevrolet Cheetah

This 1964 Chevrolet Cheetah is the first of three examples originally ordered by Alan Green and features its original Bill Thomas 377 cubic inch, fuel injected Rochester V8 engine. It is one of only 10 genuine Cheetahs in the United States, is BTM of Arizona certified and restored to museum quality. This ultra-premium offering, known as “The Cobra Killer”, is for sale publicly for the first time since 1976 and marks a once in a lifetime opportunity for the serious collector.

#2109 1948 Delahaye Chapron’s Dandy Grand Luxe

This fully restored post-war French luxury car has been lovingly garage kept for nearly a quarter century. Stepping inside the 1948 Delahaye Chapron’s Dandy Grand Luxe you would find a Brent’s upholstery finished interior. This hand-built Henri Chapron Carrossier bodywork features an engine rebuilt by FX Engines and cotal gearbox restored by French car expert Alan Taylor. This vehicle is one of the most striking cars from post-war Europe and has previously appeared at the prestigious Amelia Concours d’Elegance.

#2118 1961 ASA 1100 Spyder – NO RESERVE

This rare 1967 ASA 1100 cc Spyder, developed by Ferrari, is one of two 1100 cc cars built. This unique car has a Colombo designed engine was derived from the 250 3-liter and features a tubular framed chassis that was developed by Giotto Bizzarrini. Production lasted in Milan from 1962 until 1967 with only a handful of Spyders built.

#2205 1965 Shelby GT350 #47 Fastback

Signed by Carroll Shelby himself, this example is one of 562, first year, 1965 Shelby GT350 Fastbacks and is serial #47 of the legendary first 100 built. It features a 289/306hp engine (K code) with Borg Warner T-10 transmission, 15” Grager/Shelby wheels with correct blue dot tires and a scooped fiberglass hood. Also present is a rear mounted battery, which is only seen in first 300 examples. Included in the sale are copies of original paperwork.

#2058 1967 Chevrolet Corvette 427/435 Roadster

This show-stopping NCRS 97-point, award-winning 1967 Chevrolet Corvette 427/435 Roadster is the first out of five red on red 435 roadsters. With a K66 transistor ignition, J50 power break and A01 tinted glass, this vehicle was restored by Nabors Brothers of Houston, Texas. Also a 99-point Bloomington Gold award winner, it has traveled only 31,000 miles from new and is unquestionably one of the finest examples of the C2 Corvette Stingray available anywhere.

#2428 1970 Plymouth Barracuda “Fast & Furious” Cudanator Coupe

Featured in countless magazines, video games and movies like Fast & Furious 6 and 7, this 1970 ‘Cuda AAR was built by David Salvaggio of SpeedKore. With power derived from an Arruzza hand-built, 700 horsepower, naturally aspirated 540 cubic inch (8.8 liter) aluminum Hemi, mated to a Tremec six-speed manual with carbon fiber pistol grip shifter and fully fabricated suspension including coil-over shocks, this vicious beast is known as the most menacing ‘Cuda in existence. Coming from the famed Always Evolving collection of cars, this offering presents an opportunity to own a vehicle directly connected to one of the most important automotive film franchises of all time.

#2312 1964 Porsche 356 SC Cabriolet

This truly iconic classic was accepted and driven in the prestigious Copper State Rally in Arizona. With a strong, capable engine and shown in a beautiful silver over red color combination, this 1964 Porsche 356 SC Cabriolet comes complete with a photographic restoration history and was previously owned by the U.S. Ambassador to Germany.

#2567 2001 Ferrari 550 Barchetta Convertible

One of only 448 ever produced, this 550 Barchetta Convertible comes from the enthusiastic owners of a large Ferrari collection. In addition to its wonderful topless option, it flaunts a magnificent and highly desirable 6-speed manual transmission. Additionally, cam belt service was completed within the last 1,000 miles with its annual service, and brake and clutch fluid exchange were completed in October of 2018.

#2194 2005 Ford GT

This Ford GT is an all four-option vehicle featuring stripes, BBS wheels, red brake calipers and premium McIntosh audio. With less than 3,500 original miles, this meticulously maintained example has recently gone through a full service. Boasting a 32 Valve Supercharged V-8 550 HP with 500 Foot Pounds Torque, the car comes complete with an autograph from noted American businessman and former racing driver, Steve Saleen.

#2141 1967 Porsche 911 S Soft Window Targa

Complete with a Porsche Certificate of Authenticity, this classic 911 S painted in highly exotic “Polo Red”, is a model example of a properly documented and restored Porsche Targa. Featuring Recaro sport seats and Kardex showing original owner, it was purchased new with the rare soft windows by noted journalist and car enthusiast John Buffum.

#2258 1975 Lamborghini Urraco P111

This stunning example of a Bertone designed Lamborghini “wedge” is 1 of only 21 produced for the U.S. market and features factory air conditioning. A recipient of a Concours preparation with over 40 hours of detail work invested, it was a 2017 Chairman’s Choice Concours d’Elegance Award winner and appears in the Lamborghini Registry. Also highly maintained, a $36,000 engine rebuild and major service were recently completed with full service history, records, receipts and original owner’s manual and spare assembly included in the sale. This 1970’s supercar is presented in excellent and enjoyable mechanical condition.

Experience all the high-energy excitement of Russo and Steele’s flagship auction event in Scottsdale, Arizona for yourself! Bidder registration is just $200 and includes admission for all days of exclusive “Auction in the Round” action for the bidder and one lucky guest. ONLINE BIDDING NOW INCLUDED WITH ALL BIDDER REGISTRATIONS! Join Russo and Steele in Scottsdale, January 17-21 live from Salt River Fields at Talking Stick. Auction previews run daily from 9:00 AM with auctions beginning at 12:00 PM. Be sure to contact Russo and Steele for advance bidder registration and accommodations or to register your premium consignment today.

For updated information regarding the Scottsdale 2018 auction and additional information on the exciting selection of featured collector automobiles they are busy assembling, visit Russo and Steele’s official website at www.russoandsteele.com.

Buy or sell your exotic car at duPontREGISTRY.com and check back with Autofluence.com for more supercar news.

Russo and Steele Scottsdale 2018 Preview

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