- Fork https://github.com/github/dmca
- Download latest youtube-dl source code from https://yt-dl.org/latest
- Extract
tar -xvf youtube-dl-2020.09.20.tar.gz
- Push code to your fork as the GitHub CEO
# Global packages to be installed in home directory | |
# Desktop apps | |
gdown | |
https://github.com/thenaterhood/gscreenshot/archive/refs/tags/v3.4.1.tar.gz | |
# Installed out of convenience | |
fastapi | |
uvicorn | |
pydantic>=2 | |
lenses |
tar -xvf youtube-dl-2020.09.20.tar.gz
# Demonstration: https://www.youtube.com/watch?v=5AvHrIK-Kjc&feature=youtu.be | |
# rand_cmap from https://stackoverflow.com/questions/14720331/how-to-generate-random-colors-in-matplotlib | |
import matplotlib.pyplot as plt | |
import torch | |
import torch.nn.functional as F | |
from visualizations import rand_cmap | |
W = H = 64 | |
img = torch.randn(W, H).to(device) |
# Tested on Ubuntu 16.04 and X11, 2019 | |
# 1. Download NVIDIA driver as a .run file | |
# 2. Stop X-Server | |
sudo service lightdm stop | |
# 3. Blacklist Nouveau driver | |
sudo nano /etc/modprobe.d/blacklist-nouveau.conf |
Config Files Repo : https://github.com/Bearbobs/glorious-awesome-debian | |
Setps to setup on debain based system as the original author is on arch and It's quite diffrent procedure as compared. | |
## Awesome and Rofi are quite old in debain repo, Building from Git is required. | |
Steps to do the same. | |
## Rofi-> | |
git clone --recursive https://github.com/DaveDavenport/rofi | |
cd rofi |
Made possible with this reddit post.
wine regedit wine-breeze-dark.reg
wine regedit wine-reset-theme.reg
## This script contains following image augementation methods: | |
# Random Horizontal Flip | |
# Random Crop | |
# Random Sized Crop | |
# Random Rotation | |
# Gaussian Noise | |
# Random Grayscale | |
# Random Lightning | |
# Random Contrast | |
# Multiply |
Awesome-WM is a X11 window manager, that is configured via Lua. Fennel is a Lisp for Lua. This shows a general setup of how to write your awesome-wm config using fennel directly without the compilation step (which would also work, but is not needed).
Fetch a recent Fennel version (the
""" | |
author: Timothy C. Arlen | |
date: 28 Feb 2018 | |
Calculate Mean Average Precision (mAP) for a set of bounding boxes corresponding to specific | |
image Ids. Usage: | |
> python calculate_mean_ap.py | |
Will display a plot of precision vs recall curves at 10 distinct IoU thresholds as well as output |
// This function converts the string to lowercase, then perform the conversion | |
function toLowerCaseNonAccentVietnamese(str) { | |
str = str.toLowerCase(); | |
// We can also use this instead of from line 11 to line 17 | |
// str = str.replace(/\u00E0|\u00E1|\u1EA1|\u1EA3|\u00E3|\u00E2|\u1EA7|\u1EA5|\u1EAD|\u1EA9|\u1EAB|\u0103|\u1EB1|\u1EAF|\u1EB7|\u1EB3|\u1EB5/g, "a"); | |
// str = str.replace(/\u00E8|\u00E9|\u1EB9|\u1EBB|\u1EBD|\u00EA|\u1EC1|\u1EBF|\u1EC7|\u1EC3|\u1EC5/g, "e"); | |
// str = str.replace(/\u00EC|\u00ED|\u1ECB|\u1EC9|\u0129/g, "i"); | |
// str = str.replace(/\u00F2|\u00F3|\u1ECD|\u1ECF|\u00F5|\u00F4|\u1ED3|\u1ED1|\u1ED9|\u1ED5|\u1ED7|\u01A1|\u1EDD|\u1EDB|\u1EE3|\u1EDF|\u1EE1/g, "o"); | |
// str = str.replace(/\u00F9|\u00FA|\u1EE5|\u1EE7|\u0169|\u01B0|\u1EEB|\u1EE9|\u1EF1|\u1EED|\u1EEF/g, "u"); | |
// str = str.replace(/\u1EF3|\u00FD|\u1EF5|\u1EF7|\u1EF9/g, "y"); |