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Mujoco and Mujoco-py Installation Instructions

The steps are taken from this video and document with some small changes.

Steps

1. Install Anaconda. Download it from this link.

cd Downloads/
sudo chmod +x Anaconda3-2021.11-Linux-x86_64.sh
./Anaconda3-2021.11-Linux-x86_64.sh

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"""
Module Docstring.

author:name
date:date
"""


import argparse
import logging

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# Single underscore
class Example():
    _private_variable = 10
    def __init__(self):
        self._private_variable = 20
        
example_object = Example()
print(example_object._private_variable)

# Double underscores

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• First locate OpenCV files on your machine.

If locate is not installed, install it with: sudo apt install mlocate. You might get results like:

locate opencv.hpp                                                                                                                                                                             (py37_test) 
/usr/include/boost/compute/interop/opencv.hpp
/usr/include/opencv4/opencv2/opencv.hpp

• In VSCode, Press Ctrl+Shift+P.

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Automatic Print Removal GCODES

These instructions are to remove the printed at the end of the print. The printed model is assumed to be placed at the center of the platform. Printer: Anycubic Mega.

• Original End Code

M104 S0 ; turn off extruder
M140 S0 ; turn off bed
M84 ; disable motors
M107

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import cv2
import numpy as np
import matplotlib.pyplot as plt


# To add a colored mask over a image
def add_colored_mask(image, mask):
    color = (0, 0, 255)  # Red.
    image_colored = np.zeros(image.shape, image.dtype)
    image_colored[:,:] = color

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import subprocess

def check_gpu_availability(threshold=50):
    # Run the nvidia-smi command to get GPU information
    cmd = "nvidia-smi --query-gpu=index,memory.used,memory.total --format=csv,noheader"
    gpu_info = subprocess.check_output(cmd, shell=True).decode().strip().split("\n")

    # Parse the GPU information into a list of dictionaries
    gpu_list = []
    for gpu in gpu_info:

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• Move the directory or AppImage to a desired location.

sudo mkdir -p /<example_dir>/
sudo mv <my_executable_dir> /<example_dir>/

• Create a symlink in a directory which is in the PATH.

sudo ln -s /<example_dir>/<my_example_dir>/<executable> /usr/local/bin/<executable_name>