flower-recognition | flower recognition app , take a picture about flower | Machine Learning library

by lzwjava Java Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | flower-recognition Summary

flower-recognition is a Java library typically used in Artificial Intelligence, Machine Learning, Tensorflow applications. flower-recognition has no bugs, it has no vulnerabilities and it has low support. However flower-recognition build file is not available. You can download it from GitHub.

avos statistic的模块请到avos cloud上下载，选择Android SDK，因为用了下崩溃日志统计功能。.

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Support

flower-recognition has a low active ecosystem.

It has 4 star(s) with 1 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

flower-recognition has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of flower-recognition is current.

Quality

flower-recognition has no bugs reported.

Security

flower-recognition has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

flower-recognition 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

flower-recognition releases are not available. You will need to build from source code and install.

flower-recognition has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed flower-recognition and discovered the below as its top functions. This is intended to give you an instant insight into flower-recognition implemented functionality, and help decide if they suit your requirements.

Perform HTTP POST request
Save a bitmap to file
Handle the touch event .
Upload a file to an action URL
Click a photo .
show alert dialog
Initialize bitmap .
Sets bitmap by key .
Download url to path .
Convert grey image to gray pixels .

Get all kandi verified functions for this library.

flower-recognition Key Features

No Key Features are available at this moment for flower-recognition.

flower-recognition Examples and Code Snippets

No Code Snippets are available at this moment for flower-recognition.

Community Discussions

Trending Discussions on flower-recognition

Incompatible inputs of layers (ndim=4, found ndim=3)

QUESTION

Incompatible inputs of layers (ndim=4, found ndim=3)

Asked 2020-Jun-16 at 00:54

I tried to recreate this Flower Recognition CNN in Keras. The model seems to work, at least in the notebook (while getting predictions on the validation set), but I need to use the model somewhere else. Photos are 150x150 and this is how I build the CNN:

...

ANSWER

Answered 2020-Jun-16 at 00:54

Make sure you have the first dimension as 1 (1 image to predict). Your model is expecting the None dimension to be number of samples, 2nd + 3rd to be the image resolution, and 4th to be your RGB channels for the image.

data = np.expand_dims(data, axis=0)

Will add an extra dimension to your first axis.

See: How can I add new dimensions to a Numpy array?

Source https://stackoverflow.com/questions/62399263

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install flower-recognition

You can download it from GitHub.
You can use flower-recognition 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 flower-recognition 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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