njanirudh

Home Network Setup

Wireless Setup

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1️⃣ Primary WiFi

This one already exists — just rename the SSIDs.

njanirudh

📘 Installing OpenWRT on TP-Link TL-WR841N (v14)

⚠️ Warning: Flashing custom firmware may void your warranty or brick your device if not done correctly. Proceed with caution.

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✅ Prerequisites

• TP-Link TL-WR841N v14 router
• Ethernet cable (to connect your PC to the router's LAN port)

njanirudh

#!/bin/bash
set -e

ask() {
    # $1 = question text, $2 = default (y/n)
    local prompt
    if [[ "$2" == "y" ]]; then
        prompt="[Y/n]"
        default="y"
    else

njanirudh

# ----------------USER--------------

# Showing git branch
source /usr/lib/git-core/git-sh-prompt
export PS1="${debian_chroot:+($debian_chroot)}\[\033[01;32m\]\u:\[\033[01;34m\]\w\[\033[00m\]\$(__git_ps1)\[\033[00m\] $"

# ROS2
source /opt/ros/galactic/setup.bash
source $HOME/ubica_ws/install/setup.bash

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Objects

Object Interaction Properties

• Dynamic object : Affected by gravity, collisions and other constraints.

• Static object : Not affected by forces.

• Respondable object : Produces a collision reaction with other respondable objects.

• Respondable mask : Used to filter respondability to only some objects.

Object Special Properties

njanirudh

Batch rename files
ls | cat -n | while read n f; do mv "$f" `printf "%04d.jpg" $n`; done

Finds all the executables in the folder (source)[https://superuser.com/questions/492501/how-do-i-list-all-of-the-executables-in-a-linux-directory-sub-dirs-path]
find . -type f –executable   

 

njanirudh

Docker ROS

Docker basic ROS commands

docker run -it ros
docker ps -l
docker image ls
docker exec -it nostalgic_morse bash
source /opt/ros//setup.bash
docker container prune
docker image rm

njanirudh

# References
# 1. https://github.com/mdbloice/Augmentor
  
import Augmentor

p = Augmentor.Pipeline("/home/jayasimha/NJ/Datasets/Nuts/nonsense")
p.skew_left_right(probability=0.5)
p.skew_top_bottom(probability=0.5)

p.random_brightness(probability=0.5,min_factor=0.9,max_factor=1.0)

njanirudh

__author__      = "Anirudh NJ"
__email__ = "[email protected]"
__license__ = "GNU"

import cv2
import sift
import os
from glob import glob
import pickle
import numpy as np

njanirudh

### OpenAI GYM ###
# 1. https://gym.openai.com/docs/
# 2. https://gym.openai.com/envs/#board_game

import gym

# Create an env for RL
# print(envs.registry.all())
env = gym.make('CartPole-v0')
observation = env.reset()