Skip to main content

Automation tool to use Unity ARCore image evaluator on multiple images

Project description

# autoevalimg

This tool is designed to save time evaluating images in a reference image library with the ARCore image evaluator. This will automate the process onto a folder of images and will output the results to a text file. More information can be found [here](https://developers.google.com/ar/develop/java/augmented-images/arcoreimg).

## Installation

Install the package with pip ` pip install autoevalimg `

Open a python interpreter in the terminal ` python `

Import the package ` import autoevalimg `

Reference the folder of images to evaluate ` mng = AutoEvalImgManager("path/to/images/folder") `

Run the evaluator ` mng.get_results() `

Open results.txt for all of the scores of the images

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

autoevalimg-1.0.tar.gz (1.4 kB view details)

Uploaded Source

File details

Details for the file autoevalimg-1.0.tar.gz.

File metadata

  • Download URL: autoevalimg-1.0.tar.gz
  • Upload date:
  • Size: 1.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: Python-urllib/3.7

File hashes

Hashes for autoevalimg-1.0.tar.gz
Algorithm Hash digest
SHA256 dd714049ef49add638980b71537a6346ba090b4dd79db583434a2546638bfb94
MD5 66eac661ecda3f83cdec50fb517641f4
BLAKE2b-256 b82c283f021b9d1a89365f8a440eec7aa5e243e6725402d1cd2f1c9fe246c8d0

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page