DeepFitnessServer | side running code of the DeepFitness project
kandi X-RAY | DeepFitnessServer Summary
kandi X-RAY | DeepFitnessServer Summary
DeepFitnessServer is a Java library. DeepFitnessServer has no bugs, it has no vulnerabilities and it has low support. However DeepFitnessServer build file is not available. You can download it from GitHub.
The server-side running code of the DeepFitness project requires Openpose+Caffe to run completely. For error detection of fitness movements based on deep learning technology
The server-side running code of the DeepFitness project requires Openpose+Caffe to run completely. For error detection of fitness movements based on deep learning technology
Support
Quality
Security
License
Reuse
Support
DeepFitnessServer has a low active ecosystem.
It has 3 star(s) with 0 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
DeepFitnessServer has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of DeepFitnessServer is current.
Quality
DeepFitnessServer has no bugs reported.
Security
DeepFitnessServer has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
DeepFitnessServer 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
DeepFitnessServer releases are not available. You will need to build from source code and install.
DeepFitnessServer 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 DeepFitnessServer and discovered the below as its top functions. This is intended to give you an instant insight into DeepFitnessServer implemented functionality, and help decide if they suit your requirements.
- Run the handler
- Filters the keys in the given array
- Checks if people can use the given people
- Close the client
- Converts a JSON object to a cookie specification string
- Get an optional boolean value
- Returns a copy of the given string
- Running the thread
- Create a Checker
- Get the optional BigDecimal value associated with an index
- Get the optional BigInteger value associated with a specific index
- Get field names from an object
- Increments a property
- Append a key value
- Get the optional BigInteger associated with the given key
- Converts a cookie list into a JSON object
- Get the next value
- Converts a JSON object to a HTTP header
- Convert a cookie specification string to a JSON object
- Converts an HTTP header string to a JSON object
- Skips characters until the specified character is found
- Populate the internal map
- Translates the image
- Checks for body
- Converts a JSONObject to a cookie list
- Check faults
Get all kandi verified functions for this library.
DeepFitnessServer Key Features
No Key Features are available at this moment for DeepFitnessServer.
DeepFitnessServer Examples and Code Snippets
No Code Snippets are available at this moment for DeepFitnessServer.
Community Discussions
No Community Discussions are available at this moment for DeepFitnessServer.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install DeepFitnessServer
You can download it from GitHub.
You can use DeepFitnessServer 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 DeepFitnessServer 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 DeepFitnessServer 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 DeepFitnessServer 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 .
Find more information at:
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page