FasterRCNN | Implements Faster R-CNN Architecture

by Sai-Venky Python Version: Current License: MIT

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

kandi X-RAY | FasterRCNN Summary

FasterRCNN is a Python library. FasterRCNN has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Implements Faster R-CNN Architecture.

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Quality

Security

License

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Support

FasterRCNN has a low active ecosystem.

It has 2 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

FasterRCNN has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of FasterRCNN is current.

Quality

FasterRCNN has no bugs reported.

Security

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

License

FasterRCNN is licensed under the MIT License. This license is Permissive.

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

Reuse

FasterRCNN 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 available. Examples and code snippets are not available.

Top functions reviewed by kandi - BETA

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

Train pretrained model .
Visualize a bounding box .
Predict bounding boxes for each image .
Generate foreground and background RoIs .
Filer down the image .
Creates the labels for each image based on the bounding box .
Get the example for an image .
Creates the anchor base
Flip a bounding box .
Transform input image .

Get all kandi verified functions for this library.

FasterRCNN Key Features

No Key Features are available at this moment for FasterRCNN.

FasterRCNN Examples and Code Snippets

No Code Snippets are available at this moment for FasterRCNN.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install FasterRCNN

To train the model, please run python src/train.py. Once visom is installed, to run it , open a terminal and type visdom The model can be visualized at http://localhost:8097.