Niraj Pandkar nirajpandkar

## openclaw_secure_installation.md

      
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                nirajpandkar
                / openclaw_secure_installation.md
            
            
              Created
              February 9, 2026 02:15
            
          
    OpenClaw Secure VM Installation Guide

Complete guide to set up OpenClaw AI assistant in an isolated VM with local LLM (no cloud APIs).
Table of Contents


Prerequisites
VM Setup
LM Studio Setup (Host)
OpenClaw Installation (VM)
Configuration


## README.md

      
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              Last active
              August 21, 2025 00:33
            
              
                FaceBase Landmarking Software Instructions (2025 August)
              
          
    These are the additional (to the facebase steps) steps taken to make the FaceBase automatic landmarking software work - https://www.facebase.org/resources/human/facial_landmarking/
Installations


Matlab - https://www.mathworks.com/help/install/ug/install-products-with-internet-connection.html
PyMeshlab - https://pymeshlab.readthedocs.io/en/latest/installation.html
Install Statistics and Machine Learning Toolbox add-on in Matlab for the pdist function.

Steps taken

Get_compute_many_Windows generates a now defunct command using meshlabserver.exe. This executable has been deprecated since 2020. We need to use PyMeshlab library in python instead.
Use compute_curvature.py instead. This utility generates the curvature of each object .obj file and converts it into a .ply file with C information in it required by the landmarking method. Currently, if you open .obj file, you'll find V (vertices) and F (faces) information.


## simple_llama_index_demo
# Import necessary packages
import os
import pickle

from llama_index import GPTSimpleVectorIndex, download_loader

os.environ['OPENAI_API_KEY'] = '<openai_api_key>'

# Load custom data source. Here it is being loaded from the data directory.
SimpleDirectoryReader = download_loader("SimpleDirectoryReader")

## Dockerfile
FROM python:3.6.3

# install Python modules needed by the Python app
COPY . /Captcha-Prediction
WORKDIR /Captcha-Prediction

RUN pip install --no-cache-dir -r requirements.txt

# tell the port number the container should expose
EXPOSE 5000

## clean_captcha_image.py
"""
This script removes stray lines from images using image processing techniques with OpenCV library.

All credit where it's due - https://stackoverflow.com/a/45563349/4411757. Simon Mourier created a script in C# which I
have ported to python. Tested with python 3.5 and opencv-python==3.4.2.17. Shoot your suggestions/improvements in the
comments. Cheers!
"""

def clean_image(img):
    height, width = img.shape[:2]
	# Import necessary packages
	import os
	import pickle

	from llama_index import GPTSimpleVectorIndex, download_loader

	os.environ['OPENAI_API_KEY'] = '<openai_api_key>'

	# Load custom data source. Here it is being loaded from the data directory.
	SimpleDirectoryReader = download_loader("SimpleDirectoryReader")
	FROM python:3.6.3

	# install Python modules needed by the Python app
	COPY . /Captcha-Prediction
	WORKDIR /Captcha-Prediction

	RUN pip install --no-cache-dir -r requirements.txt

	# tell the port number the container should expose
	EXPOSE 5000
	"""
	This script removes stray lines from images using image processing techniques with OpenCV library.

	All credit where it's due - https://stackoverflow.com/a/45563349/4411757. Simon Mourier created a script in C# which I
	have ported to python. Tested with python 3.5 and opencv-python==3.4.2.17. Shoot your suggestions/improvements in the
	comments. Cheers!
	"""

	def clean_image(img):
	height, width = img.shape[:2]