tensorflow_object_detection_android | 在安卓设备上使用tflite库执行目标检测算法
kandi X-RAY | tensorflow_object_detection_android Summary
kandi X-RAY | tensorflow_object_detection_android Summary
tensorflow_object_detection_android is a Java library. tensorflow_object_detection_android has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.
This is a camera app that continuously detects the objects (bounding boxes and classes) in the frames seen by your device's back camera, using a quantized MobileNet SSD model trained on the COCO dataset. These instructions walk you through building and running the demo on an Android device. The model files are downloaded via Gradle scripts when you build and run. You don't need to do any steps to download TFLite models into the project explicitly. Application can run either on device or emulator.
This is a camera app that continuously detects the objects (bounding boxes and classes) in the frames seen by your device's back camera, using a quantized MobileNet SSD model trained on the COCO dataset. These instructions walk you through building and running the demo on an Android device. The model files are downloaded via Gradle scripts when you build and run. You don't need to do any steps to download TFLite models into the project explicitly. Application can run either on device or emulator.
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tensorflow_object_detection_android has a low active ecosystem.
It has 2 star(s) with 0 fork(s). There are 1 watchers for this library.
It had no major release in the last 12 months.
tensorflow_object_detection_android has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of tensorflow_object_detection_android is v0.1
Quality
tensorflow_object_detection_android has no bugs reported.
Security
tensorflow_object_detection_android has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
tensorflow_object_detection_android 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.
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tensorflow_object_detection_android 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 tensorflow_object_detection_android and discovered the below as its top functions. This is intended to give you an instant insight into tensorflow_object_detection_android implemented functionality, and help decide if they suit your requirements.
- Called when an image is available
- Fill the yuv planes
- Converts YUV420 into ARGB format
- Convert YUV to RGB
- Called when the preview size is selected
- Draw the frame to the canvas
- Get a transformation matrix for the source frame
- Initializes a TensorFlow session
- Performs background detection
- Saves a bitmap to disk
- Processes the results
- Resume the view
- Set up the activity
- Get the simple name of the caller
- Convert size string to list
- Draws the results on the canvas
- Resume the inference thread
- Expect the size of a measure to be scaled
- Get the camera ID
- Convert a list of size to a string
- Stops the handler
- On click
- Uses the input bitmap to recognize the image data
- Initialize the preview frame
- Initializes the camera preview
- Resume the foreground thread
Get all kandi verified functions for this library.
tensorflow_object_detection_android Key Features
No Key Features are available at this moment for tensorflow_object_detection_android.
tensorflow_object_detection_android Examples and Code Snippets
No Code Snippets are available at this moment for tensorflow_object_detection_android.
Community Discussions
No Community Discussions are available at this moment for tensorflow_object_detection_android.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install tensorflow_object_detection_android
You can download it from GitHub.
You can use tensorflow_object_detection_android 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 tensorflow_object_detection_android 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 tensorflow_object_detection_android 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 tensorflow_object_detection_android 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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