This gist contains steps to setup Ubuntu 22.04.1 LTS for deep learning.
- Computer name: Name-PC
- Name: Name
| #include <gst/gst.h> | |
| #include <glib.h> | |
| #include <string.h> | |
| // Compile command: | |
| // gcc -Wall $(pkg-config --cflags --libs gstreamer-0.10) test.c -o test | |
| // Gstreamer test: | |
| // gst-launch filesrc location=<your video file> typefind=true ! aiurdemux name=demux demux. ! queue max-size-buffers=0 max-size-time=0 ! mfw_vpudecoder ! autovideosink demux. ! queue ! mfw_aacdecoder ! autoaudiosink |
| void GetNetworkStats(string host, int pingAmount, int timeout, out int averagePing, out int packetLoss) | |
| { | |
| Ping pingSender = new Ping(); | |
| PingOptions options = new PingOptions(); // default is: don't fragment and 128 Time-to-Live | |
| string data = "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa"; | |
| byte[] buffer = Encoding.ASCII.GetBytes(data); // 32 bytes of data | |
| var failedPings = 0; | |
| var latencySum = 0; |
| Gui, Add, Button, x46 y20 w100 h30 Gon , Proxy ON | |
| Gui, Add, Button, x46 y60 w100 h30 Goff , Proxy OFF | |
| Gui, Add, Button, x46 y100 w100 h30 Ggtfo , Exit | |
| ; Generated using SmartGUI Creator 4.0 | |
| Gui, Show, x129 y99 h146 w194, Proxy Status | |
| Return | |
| on: | |
| setproxy("ON", "127.0.0.1:1080") | |
| return |
| /* | |
| Notes: | |
| The font modifier requires the following gist: | |
| https://gist.github.com/shaps80/2d21b2ab92ea4fddd7b545d77a47024b | |
| */ |
| function unfollow() { | |
| setTimeout(function() { | |
| console.log('unfollowed'); | |
| let list = document.querySelectorAll('.FollowButton'); | |
| console.log(list); | |
| for (i = 0; i < list.length; i++) { | |
| list[i].click(); | |
| } | |
| unfollow(); | |
| }, 3000); |
https://github.com/danini/graph-cut-ransac
sudo apt-get install libopencv-dev
sudo apt-get install libeigen3-dev
git clone https://github.com/danini/graph-cut-ransac
cd graph-cut-ransac
python ./setup.py install| import json | |
| def filter_train(): | |
| data = [] | |
| with open('bdd100k_labels/bdd100k_labels_images_train.json') as f: | |
| train = json.load(f) | |
| for image in train: | |
| if image['attributes']['timeofday'] == 'daytime': | |
| data.append(image) | |
| ```sh | |
| conda create --name transformers python=3.11 | |
| conda activate transformers | |
| conda install pytorch::pytorch torchvision torchaudio -c pytorch | |
| pip install git+https://github.com/huggingface/accelerate | |
| pip install git+https://github.com/huggingface/transformers | |
| git clone https://github.com/huggingface/transformers.git | |
| cd transformers/examples/pytorch/token-classification |