ai-robot | Support voice arousal | Artificial Intelligence library

by LiveXY Python Version: Current License: No License

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

kandi X-RAY | ai-robot Summary

ai-robot is a Python library typically used in Artificial Intelligence, Raspberry Pi applications. ai-robot has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

ai-robot is a Chinese artificial intelligence robot. Support voice arousal, smart speaker, dialogue robot

Support

Quality

Security

License

Reuse

Support

ai-robot has a low active ecosystem.

It has 25 star(s) with 5 fork(s). There are 8 watchers for this library.

It had no major release in the last 6 months.

ai-robot has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of ai-robot is current.

Quality

ai-robot has no bugs reported.

Security

ai-robot has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

ai-robot 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

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

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

Start detection
Play an audio file
Save a wave file
Convert a BaidU file
Terminate the stream
Handles the match
Close the music player
Search for a key in a list
Continue playing the player
Backward
Play the player
Search for a list of key in text
Convert a BaidU file to a WAR file
Sets the context of the context

Get all kandi verified functions for this library.

ai-robot Key Features

No Key Features are available at this moment for ai-robot.

ai-robot Examples and Code Snippets

No Code Snippets are available at this moment for ai-robot.

Community Discussions

Trending Discussions on ai-robot

tensorflow object detection with my own data, can you help me?

QUESTION

tensorflow object detection with my own data, can you help me?

Asked 2017-Aug-01 at 20:14

I cloned tensorflow object detection model on githug: github link
And I want to train this model with my own data (331 samoyed dog's images) following by this blog tutorial click here

My steps:

Created PASCAL VOC format dataset;
download retrained model(ssd_mobilenet_v1_coco_11_06_2017.tar.gz)
change the config file(ssd_mobilenet_v1_pets.config)
initial the training process by this codes:

python object_detection/train.py \ --logtostderr \ --pipeline_config_path=./samoyed_test_and_train/training/ssd_mobilenet_v1_pets.config \ --train_dir=./samoyed_test_and_train/data/train.record

but I receive errors, my os is MacOS,and I tried on AWS,same problem occurs, can you figured out my mistakes ?errors:

...

ANSWER

Answered 2017-Aug-01 at 03:31

the train_dir flag is meant to point at some (typically empty) directory where your training logs and checkpoints will be written during training. For example it could be something like train_dir=/tmp/training_directory. It looks like you are trying to point it at your dataset --- which the config file should already be pointing at.

Source https://stackoverflow.com/questions/45428220

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

Vulnerabilities

No vulnerabilities reported

Install ai-robot

You can download it from GitHub.
You can use ai-robot 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: