FaceRecognitionApp | Face Recognition Android App | Computer Vision library
kandi X-RAY | FaceRecognitionApp Summary
kandi X-RAY | FaceRecognitionApp Summary
FaceRecognitionApp is a Java library typically used in Artificial Intelligence, Computer Vision applications. FaceRecognitionApp has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can download it from GitHub.
Face Recognition Android App
Face Recognition Android App
Support
Quality
Security
License
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Support
FaceRecognitionApp has a low active ecosystem.
It has 408 star(s) with 219 fork(s). There are 31 watchers for this library.
It had no major release in the last 12 months.
There are 1 open issues and 54 have been closed. On average issues are closed in 31 days. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of FaceRecognitionApp is 1.2.3
Quality
FaceRecognitionApp has 0 bugs and 0 code smells.
Security
FaceRecognitionApp has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
FaceRecognitionApp code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
FaceRecognitionApp is licensed under the GPL-2.0 License. This license is Strong Copyleft.
Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.
Reuse
FaceRecognitionApp releases are available to install and integrate.
Build file is available. You can build the component from source.
Installation instructions, examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed FaceRecognitionApp and discovered the below as its top functions. This is intended to give you an instant insight into FaceRecognitionApp implemented functionality, and help decide if they suit your requirements.
- Initializes the activity window
- Dialog with list of labels
- Dialog with an input label
- Train the features using stored images
- Stores the image
- Put mat
- Disconnect from camera
- Release the camera
- Process camera frame
- Returns the screen orientation of the device
- Create the options menu
- Construct the constructor
- Called when a preview frame is received
- Gets array list
- Gets the list of BooleanList from SharedPreferences
- Saves an image in the folder
- Gets integer list
- Put boolean list
- Connect to camera
- Initialize the progress bar
- Called when camera is changed
- Get list mat
- Put object
- Writes an image to the external storage
- Gets int
- Delivers a camera frame
Get all kandi verified functions for this library.
FaceRecognitionApp Key Features
No Key Features are available at this moment for FaceRecognitionApp.
FaceRecognitionApp Examples and Code Snippets
No Code Snippets are available at this moment for FaceRecognitionApp.
Community Discussions
Trending Discussions on FaceRecognitionApp
QUESTION
getting black screen on windows when laucnh my kivy app
Asked 2017-Jun-16 at 18:07
im still a begginer with kivy, when i launch my kivy app on windows i get a black winodw and the window fits the whole laptop screen. how can i fix this and how can i resize the window?
my python code
...ANSWER
Answered 2017-Jun-16 at 18:07- first of all you are defining
twice in your kv file, second one should be
- you are defining a root widget by returning it in your build method. you are also defining it in your kv file by not putting
<>
around it. You need to get rid of one definition. I just put it in<>
in the kv file. - your labels color is black, hence black on black, you won't see anything. I changed it to white
color: 1,1,1,1
- the window does not fill up the whole screen on my Laptop. I think this is not a code issue.
Here is the kv file with all the changes I mentioned in the list. It works on my pc.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install FaceRecognitionApp
In order to built this project you need to download and install Android Studio. You will then need to install the Android NDK. Then simply download the latest release: https://github.com/Lauszus/FaceRecognitionApp/releases/download/1.2.3/FaceRecognitionApp-1.2.3.zip and open the project in Android Studio.
The following instructions are meant for advanced users who wants to clone and modify the source files.
The following instructions are meant for advanced users who wants to clone and modify the source files.
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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