kandi X-RAY | OHDet_Tensorflow Summary
kandi X-RAY | OHDet_Tensorflow Summary
OHDet_Tensorflow is a Python library. OHDet_Tensorflow has no bugs, it has no vulnerabilities and it has low support. However OHDet_Tensorflow build file is not available. You can download it from GitHub.
OHDet_Tensorflow
OHDet_Tensorflow
Support
Quality
Security
License
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Support
OHDet_Tensorflow has a low active ecosystem.
It has 15 star(s) with 0 fork(s). There are 7 watchers for this library.
It had no major release in the last 6 months.
There are 2 open issues and 0 have been closed. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of OHDet_Tensorflow is current.
Quality
OHDet_Tensorflow has no bugs reported.
Security
OHDet_Tensorflow has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
OHDet_Tensorflow 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
OHDet_Tensorflow releases are not available. You will need to build from source code and install.
OHDet_Tensorflow has no build file. You will be need to create the build yourself to 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 OHDet_Tensorflow and discovered the below as its top functions. This is intended to give you an instant insight into OHDet_Tensorflow implemented functionality, and help decide if they suit your requirements.
- Train the R3 detector
- Sum gradients
- R Compute the minimum area of a list of boxes
- Calculates a warmup learning rate
- Calculate the vocab
- Parse a GTF file
- Calculate the area of the recall curve
- Return a list of dictionaries
- Xception model
- Exponential convolution layer
- Resnet block
- Builds the network
- Inception v3
- Connects the convolution layer
- Writes the xml files
- Create an xml node
- Call the convolution layer
- Convert coordinates to coordinate
- Convert input tensorflow tensor
- Wrapper for inception_v2
- Build blocks
- Builds a model
- Post - processing postprocessing
- Creates a separable convolutional convolution layer
- Inception V4
- Calculate anchor states for a given set of anchors
- Convert coordinates in radians
Get all kandi verified functions for this library.
OHDet_Tensorflow Key Features
No Key Features are available at this moment for OHDet_Tensorflow.
OHDet_Tensorflow Examples and Code Snippets
No Code Snippets are available at this moment for OHDet_Tensorflow.
Community Discussions
No Community Discussions are available at this moment for OHDet_Tensorflow.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install OHDet_Tensorflow
You can download it from GitHub.
You can use OHDet_Tensorflow 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.
You can use OHDet_Tensorflow 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 .
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