Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/bitbar/opencv-library
https://github.com/bitbar/opencv-library
appium image-recognition mobile-testing opencv opencv-java
Last synced: about 1 month ago
JSON representation
- Host: GitHub
- URL: https://github.com/bitbar/opencv-library
- Owner: bitbar
- License: apache-2.0
- Archived: true
- Created: 2017-02-17T17:48:15.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2020-12-04T20:31:34.000Z (almost 4 years ago)
- Last Synced: 2024-08-03T23:24:29.508Z (3 months ago)
- Topics: appium, image-recognition, mobile-testing, opencv, opencv-java
- Language: Java
- Size: 63 MB
- Stars: 8
- Watchers: 36
- Forks: 7
- Open Issues: 3
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Overview
This is an image recognition library that can be used for mobile application testing.This library has been extracted and refactored from the following project:
As this README is currently rather simplistic, more information can be found from the original project's readme or from this blog post:
# Prerequisites
## GeneralAppium
## Android
Android SDK### Notes
```
export PATH=$PATH:$ANDROID_HOME/platform-tools/
export PATH=${PATH}:$ANDROID_HOME/tools/
```## iOS
libimobiledevice
### Notes
```
brew uninstall libimobiledevice
brew install --HEAD libimobiledevice
```# Getting started
Run Appium:` appium` or `appium -U `
```
cd example
# Download the example Android application
wget https://github.com/bitbar/testdroid-samples/blob/master/apps/builds/BitbarSampleApp.apk -O application.apk
mvn -Dtest=AndroidSample clean test
# Download the example iOS application
wget https://github.com/bitbar/testdroid-samples/blob/master/apps/builds/BitbarIOSSample.ipa -O application.ipa
export UDID=
mvn -Dtest=iOSSample clean test
```