| net_graph "1" | |
| net_graphproportionalfont "0.5" | |
| rate "786432" | |
| hud_scaling "1" | |
| cl_cmdrate "128" | |
| cl_updaterate "128" | |
| snd_menumusic_volume "0" // (disables menu music) | |
| snd_mix_async "1" // (allows for shorter lookahead buffer (snd_mixahead), improves performance) |
| ffmpeg -re -i .mkv -c:v libx264 -preset veryfast -maxrate 3000k -bufsize 6000k -pix_fmt yuv420p -g 50 -c:a aac -strict -2 -b:a 160k -ac 2 -ar 44100 -f flv rtmp:// | |
| ffmpeg -re -i .mkv -c copy -f flv rtmp:// |
| ffmpeg -re -i /home/steam/trans/new/1.mkv -c:v libx264 -preset veryfast -maxrate 3000k \ | |
| -bufsize 6000k -pix_fmt yuv420p -g 50 -c:a aac -b:a 160k -ac 2 \ | |
| -ar 44100 -f flv rtmp:// |
| ------------------------------------------------- | |
| nench.sh v2018.04.14 -- https://git.io/nench.sh | |
| benchmark timestamp: 2019-01-07 18:06:49 UTC | |
| ------------------------------------------------- | |
| Processor: QEMU Virtual CPU version (cpu64-rhel6) | |
| CPU cores: 2 | |
| Frequency: 2999.998 MHz | |
| RAM: 1.9G | |
| Swap: 1.0G |
| https://openbenchmarking.org/result/1901043-KH-GAY61175664 | |
| https://openbenchmarking.org/result/1901048-KH-EXTRAVMTE51 | |
| compare: https://www.phoronix.com/scan.php?page=article&item=intel-7700k-linux&num=3 | |
| ------------------------------------------------- | |
| nench.sh v2018.04.14 -- https://git.io/nench.sh | |
| benchmark timestamp: 2019-01-05 02:29:59 UTC | |
| ------------------------------------------------- |
As you may already know, Wii U USB Helper has been discontinued, however, this shouldn't mean we're not allowed to use it anymore.
So I've made a launcher which makes it work again. Hooray!
Here's how to set it up:
Step 1 - Download the launcher.
Step 2 - Download a compatible version of Wii U USB Helper.
| SELLING Naughty Flygon 2-31-24-21-27-17 ev trained lv 53 PM me offers | |
| SELLING Neutral Gallade 27-31-18-31-30-19 ev trained PM offers |
| "use strict"; | |
| // ==UserScript== | |
| // @name Vertix.io Aimbotaaaa | |
| // @description Aim at the closest player by pressing Shift. | |
| // @match http://vertix.io | |
| // @match http://www.vertix.io | |
| // @version 1.0 | |
| // | |
| // @namespace https://greasyfork.org/users/119655 |
| #---- Generated by tint2conf 9757 ---- | |
| # See https://gitlab.com/o9000/tint2/wikis/Configure for | |
| # full documentation of the configuration options. | |
| #------------------------------------- | |
| # Backgrounds | |
| # Background 1: Panel, Tooltip | |
| rounded = 0 | |
| border_width = 0 | |
| border_sides = TBLR | |
| background_color = #16161d 63 |
Photographers wade through thousands of photos every shoot, and some crops are far from optimal. A smart crop tool can assist these photographers, provide a baseline for them to work from, and automate the crops for many photos.
A good algorithm for finding objects in photos is the YOLO algorithm (You Only Look Once). A pretrained network that works well is the darknet network by Joseph Chet Redmon. This can be imported into Mathematica as a binary file through this code [^1]:
leayReLU[alpha_] := ElementwiseLayer[Ramp[#] - alpha*Ramp[-#] &]