opencv_mobilenet | run deep learning networks on Android device using OpenCV
kandi X-RAY | opencv_mobilenet Summary
kandi X-RAY | opencv_mobilenet Summary
opencv_mobilenet is a Java library typically used in Institutions, Learning, Education applications. opencv_mobilenet has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.
This project this is a example where you'll know how to run deep learning networks on Android device using OpenCV deep learning module. Do you need download MobileNet object detection model from This application need a configuration file MobileNetSSD_deploy.prototxt and weights MobileNetSSD_deploy.caffemodel. After the download, put MobileNetSSD_deploy.prototxt and MobileNetSSD_deploy.caffemodel into app/build/intermediates/assets/debug folder. Alessandro de Oliveira Faria email: cabelo@opensuse.org.
This project this is a example where you'll know how to run deep learning networks on Android device using OpenCV deep learning module. Do you need download MobileNet object detection model from This application need a configuration file MobileNetSSD_deploy.prototxt and weights MobileNetSSD_deploy.caffemodel. After the download, put MobileNetSSD_deploy.prototxt and MobileNetSSD_deploy.caffemodel into app/build/intermediates/assets/debug folder. Alessandro de Oliveira Faria email: cabelo@opensuse.org.
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Support
opencv_mobilenet has a low active ecosystem.
It has 6 star(s) with 1 fork(s). There are 1 watchers for this library.
It had no major release in the last 12 months.
opencv_mobilenet has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of opencv_mobilenet is v8.0.0
Quality
opencv_mobilenet has no bugs reported.
Security
opencv_mobilenet has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
opencv_mobilenet does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
Reuse
opencv_mobilenet releases are available to install and integrate.
Build file is available. You can build the component from source.
Top functions reviewed by kandi - BETA
kandi has reviewed opencv_mobilenet and discovered the below as its top functions. This is intended to give you an instant insight into opencv_mobilenet implemented functionality, and help decide if they suit your requirements.
- Initializes the java camera .
- Open camera .
- Installs OpenCV service .
- Called when OpenCV device is connected .
- Initializes the camera preview
- Process a camera frame .
- Converts a vector into a Matcher .
- Load the vertex shader .
- Delivers a camera frame .
- Completes state .
Get all kandi verified functions for this library.
opencv_mobilenet Key Features
No Key Features are available at this moment for opencv_mobilenet.
opencv_mobilenet Examples and Code Snippets
No Code Snippets are available at this moment for opencv_mobilenet.
Community Discussions
No Community Discussions are available at this moment for opencv_mobilenet.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install opencv_mobilenet
You can download it from GitHub.
You can use opencv_mobilenet like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the opencv_mobilenet component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
You can use opencv_mobilenet like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the opencv_mobilenet component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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