timdrichards

GDB commands by function - simple guide
---------------------------------------
More important commands have a (*) by them.

Startup 
% gdb -help         	print startup help, show switches
*% gdb object      	normal debug 
*% gdb object core 	core debug (must specify core file)
%% gdb object pid  	attach to running process
% gdb        		use file command to load object 

zalo

import numpy as np
import cv2
import face_alignment

# Initialize the chip resolution
chipSize = 300
chipCorners = np.float32([[0,0],
                          [chipSize,0],
                          [0,chipSize],
                          [chipSize,chipSize]])

zalo

import numpy as np
import cv2
import face_alignment

# Initialize the face alignment tracker
fa = face_alignment.FaceAlignment(face_alignment.LandmarksType._3D, flip_input=True, device="cuda")

# Start the webcam capture, exit with 'q'
cap = cv2.VideoCapture(0)
while(not (cv2.waitKey(1) & 0xFF == ord('q'))):

thinkycx

#!/bin/bash
# author: thinkycx
# date: 2018-04-30
# update: 2020-07-07
#         20230520 fix zsh-autosuggestions clone bug
#         20250729 fix bugs
# usage: 
#        curl -fsSL https://gist.githubusercontent.com/thinkycx/2e21c3572a8d1fde21aad07a58fcf940/raw/ -o zsh.sh && sudo bash zsh.sh
#
#        install zsh for one script

machinaut

#!/usr/bin/env python

import time
import numpy as np
from mujoco_py import load_model_from_xml, MjSim, MjViewer

XML = '''
<mujoco>
    <worldbody>
        <geom name='floor' pos='0 0 0' size='5 5 .125' type='plane' condim='3'/>

steven2358

FFmpeg cheat sheet

A list of useful commands for the FFmpeg command line tool.

Download FFmpeg: https://www.ffmpeg.org/download.html

Full documentation: https://www.ffmpeg.org/ffmpeg.html

Basic conversion

kingspp

import os
import yaml
import logging.config
import logging
import coloredlogs

def setup_logging(default_path='logging.yaml', default_level=logging.INFO, env_key='LOG_CFG'):
    """
    | **@author:** Prathyush SP
    | Logging Setup

dusty-nv

#!/bin/bash
#
# EDIT:  this script is outdated, please see https://forums.developer.nvidia.com/t/pytorch-for-jetson-nano-version-1-6-0-now-available
#
sudo apt-get install python-pip

# upgrade pip
pip install -U pip
pip --version
# pip 9.0.1 from /home/ubuntu/.local/lib/python2.7/site-packages (python 2.7)

junian

# This code is based on tutorial by slicktechies modified as needed to use oauth token from Twitch.
# You can read more details at: https://www.junian.net/2017/01/how-to-record-twitch-streams.html
# original code is from https://slicktechies.com/how-to-watchrecord-twitch-streams-using-livestreamer/

import requests
import os
import time
import json
import sys
import subprocess

ricgu8086

import numpy as np
from keras.models import Sequential
from keras.layers.core import Activation, Dense
from keras.optimizers import SGD

X = np.array([[0,0],[0,1],[1,0],[1,1]], "float32")
y = np.array([[0],[1],[1],[0]], "float32")

model = Sequential()
model.add(Dense(2, input_dim=2, activation='sigmoid'))