AIDog | 一款从图片识别狗的类别的应用，包括Android版和微信小程序版。

by mogoweb Python Version: Current License: Apache-2.0

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

kandi X-RAY | AIDog Summary

AIDog is a Python library. AIDog has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However AIDog build file is not available. You can download it from GitHub.

一款从图片识别狗的类别的应用，包括Android版和微信小程序版。

Support

Quality

Security

License

Reuse

Support

AIDog has a low active ecosystem.

It has 101 star(s) with 35 fork(s). There are 7 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 1 have been closed. On average issues are closed in 152 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of AIDog is current.

Quality

AIDog has no bugs reported.

Security

AIDog has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

AIDog is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

AIDog releases are not available. You will need to build from source code and install.

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

Runs the final evaluation
Retrieves random bottlenecks
Adds evaluation step
Create a tensorflow graph
Builds a eval session
Adds the final retrain op
Retrieves bottleneck bottlenecks
Creates a bottleneck file
Get the full path to the image
Get or create a bottleneck
Adds the final retrain ops
Create summaries for a variable
Adds a PNG decoder
Loads a graph from a file
Save the graph to a file
Determine if the image should be distort
Compute the evaluation step
Prepare the file system
Create a graph module graph
Exports the model
Adds input_distortions
Add JPEG encoding
Reads a Tensor from a file
Download and extract data from url if necessary
Create model information
Helper function to cache bottleneck images
Return a list of bottleneck_truths for each class
Adds the final training
Creates a list of image lists

Get all kandi verified functions for this library.

AIDog Key Features

No Key Features are available at this moment for AIDog.

AIDog Examples and Code Snippets

No Code Snippets are available at this moment for AIDog.

Community Discussions

No Community Discussions are available at this moment for AIDog.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install AIDog

You can download it from GitHub.
You can use AIDog like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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 .

Find more information at: