Pedestrian-Detection | Pedestrian detection using the TensorFlow Object | Computer Vision library
kandi X-RAY | Pedestrian-Detection Summary
kandi X-RAY | Pedestrian-Detection Summary
Pedestrian-Detection is a Python library typically used in Artificial Intelligence, Computer Vision, Deep Learning applications. Pedestrian-Detection has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.
Pedestrian detection using the TensorFlow Object Detection API. Includes multi GPU parallel processing inference.
Pedestrian detection using the TensorFlow Object Detection API. Includes multi GPU parallel processing inference.
Support
Quality
Security
License
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Support
Pedestrian-Detection has a low active ecosystem.
It has 319 star(s) with 140 fork(s). There are 12 watchers for this library.
It had no major release in the last 6 months.
There are 1 open issues and 8 have been closed. On average issues are closed in 5 days. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of Pedestrian-Detection is current.
Quality
Pedestrian-Detection has 0 bugs and 0 code smells.
Security
Pedestrian-Detection has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
Pedestrian-Detection code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
Pedestrian-Detection 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.
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Pedestrian-Detection 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.
It has 1265800 lines of code, 1991 functions and 8383 files.
It has medium code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed Pedestrian-Detection and discovered the below as its top functions. This is intended to give you an instant insight into Pedestrian-Detection implemented functionality, and help decide if they suit your requirements.
- Convert a preprocessor step
- Build a regularizer object
- Builds the activation function
- Build the params for a batch norm
- Batch Multiclass NonMaxSuppression
- Compute a multiclass regression
- Wrapper for inception v3
- Returns the kernel size for small input
- Cycle through the resnet network
- Returns the shape of a tensor
- Predict box classification
- Preprocess input tensor
- Flip image
- Flip an image
- Linear NetworkV1
- Inception V2
- Random crop
- Random crop function
- Generate image
- Perform a single checkpoint run
- Visualize boxes and labels
- Extract feature classifier features
- Generate multi - resolution feature maps for multi resolution
- Implements pix2pix2pix2pix2pix2pimage
- Evaluate a tensorflow model
- Deploys a model
Get all kandi verified functions for this library.
Pedestrian-Detection Key Features
No Key Features are available at this moment for Pedestrian-Detection.
Pedestrian-Detection Examples and Code Snippets
No Code Snippets are available at this moment for Pedestrian-Detection.
Community Discussions
Trending Discussions on Pedestrian-Detection
QUESTION
c4-pedestrian-detector.cpp:283:8: error: ‘Show_Detection_Steps’ was not declared in this scope
Asked 2020-May-23 at 17:16
I am trying to compile the CPP file present here and it is giving me the following error. I am new to this. Any help will be highly appreciated. Also, any other way to compile and run it will be helpful if I am making it wrong.
...ANSWER
Answered 2020-May-23 at 17:16The code is indeed broken; Show_Detection_Steps is used before it is declared.
Some compilers let you get away with it due to different methods of implementing templates, which is probably why the author missed it. But the code is, per the C++ language, broken.
You should report this as a bug to the author, using the GitHub project page you linked to.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Pedestrian-Detection
You can download it from GitHub.
You can use Pedestrian-Detection 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 Pedestrian-Detection 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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