mask_rcnn_ros | ROS Package of Mask R | Computer Vision library

by qixuxiang Python Version: Current License: Non-SPDX

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

kandi X-RAY | mask_rcnn_ros Summary

mask_rcnn_ros is a Python library typically used in Artificial Intelligence, Computer Vision, Deep Learning applications. mask_rcnn_ros has no bugs, it has no vulnerabilities, it has build file available and it has low support. However mask_rcnn_ros has a Non-SPDX License. You can download it from GitHub.

The ROS Package of Mask R-CNN for Object Detection and Segmentation

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Support

mask_rcnn_ros has a low active ecosystem.

It has 56 star(s) with 25 fork(s). There are 7 watchers for this library.

It had no major release in the last 6 months.

There are 5 open issues and 1 have been closed. On average issues are closed in 4 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of mask_rcnn_ros is current.

Quality

mask_rcnn_ros has 0 bugs and 0 code smells.

Security

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

mask_rcnn_ros code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

mask_rcnn_ros has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

mask_rcnn_ros 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, examples and code snippets are available.

mask_rcnn_ros saves you 2280 person hours of effort in developing the same functionality from scratch.

It has 4982 lines of code, 268 functions and 18 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Connects the model
Build the RPN model
Builds fpn mask graph
Build the RPN graph
Draws boxes
Returns a list of N colors
Apply a mask to an image
Train the model
Compile the keras model
Decorator to refine detection
Load weights from h5py
Displays the weight statistics for each layer
Displays the top masks of the image
Load shapes
Compute recall
Runs the Keras model
Runs an inference graph
Calculate ROI
Display an image
Compute iouU overlaps
Draw random ROIs
Calculate the embedding
Display the instances of the given boxes
Load COCO
Load image mask
Evaluate COCO images

Get all kandi verified functions for this library.

mask_rcnn_ros Key Features

No Key Features are available at this moment for mask_rcnn_ros.

mask_rcnn_ros Examples and Code Snippets

No Code Snippets are available at this moment for mask_rcnn_ros.

Community Discussions

Trending Discussions on mask_rcnn_ros

Creating BGR image using GRAYSCALE image

QUESTION

Creating BGR image using GRAYSCALE image

Asked 2019-Mar-27 at 18:28

Camera provides GRAYSCALE data while deep learning model requires BGR. Is it possible to create artificial bgr image by "stacking" the grayscale image using opencv or numpy or anything?

I am using two ROS packages created by other people. I have tried the following:

Attempted altering the model to accept grayscale as described by the original repo.

Attempted to convert grayscale to bgr using

...

ANSWER

Answered 2019-Mar-27 at 18:28

merged_image = cv2.merge((np_image, np_image, np_image))

should give you what you're looking for.

Source https://stackoverflow.com/questions/55380727

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

Vulnerabilities

No vulnerabilities reported

Install mask_rcnn_ros

Clone this repository to your catkin workspace, build workspace and source devel environment
Run mask_rcnn node $ rosrun mask_rcnn_ros mask_rcnn_node

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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