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How to install alexjc/neural-enhance. Official installation instructions. Project installation guide. Framework or library installation. Build installation instructions. How to setup and install from GitHub. Installation steps and setup instructions. Official docs and installation instructions GitHub.

alexjc/neural-enhance Installation Guide

How to install alexjc/neural-enhance. Official project installation instructions and setup guide.

Automated Install (Recommended)

Quick installation instructions for alexjc/neural-enhance. This is the fastest way to complete project installation and setup.

Install via curl

curl -fsSL https://hexmos.com/ipm-install | bash && 
ipm i alexjc/neural-enhance
or

Install via npx

npx @hexmos/ipm i alexjc/neural-enhance

Prerequisites

Python 3.4+

language

Version: 3.4.0 or later (e.g., 3.8.10, 3.9.12) - check for compatibility with the latest version of `pip` and `venv`.

pip

package_manager

Version: 20.x or later (e.g., 20.3.1) - check for compatibility with the latest version of `pip` and `venv`.

virtualenv

package_manager

Version: 19.x or later (e.g., 19.3.1) - check for compatibility with the latest version of `pip` and `venv`.

Cython

build_tool

Version: 0.24 or later (e.g., 0.25.1) - check for compatibility with the latest version of `pip` and `venv`.

Theano

build_tool

Version: 1.0 or later (e.g., 1.10.0) - check for compatibility with the latest version of `pip` and `venv`.

Git

system_tool

Version: 2.35 or later (e.g., 2.36.1) - check for compatibility with the latest version of `pip` and `venv`.

Linux

os

macOS

os

Windows

os

Manual Installation Methods

Manual installation instructions. How to install from GitHub source.

Python Script (Local)

python3.8 enhance.py --model=repair --zoom=1 broken.jpg

Virtual Environment (Python)

python3.8 -m venv pyvenv

source pyvenv/bin/activate

pip install --ignore-installed -r requirements.txt

Post Installation Steps

  • Open the terminal and run `python3.4 enhance.py --help` to see available options.
  • To start using the software, you can run `python3.4 enhance.py <image_path>` to enhance an image.