FastMaskRCNN | Mask RCNN in TensorFlow | Computer Vision library

by CharlesShang Python Version: Current License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | FastMaskRCNN Summary

FastMaskRCNN is a Python library typically used in Artificial Intelligence, Computer Vision, Tensorflow applications. FastMaskRCNN has no vulnerabilities, it has a Permissive License and it has medium support. However FastMaskRCNN has 2 bugs and it build file is not available. You can download it from GitHub.

Mask RCNN in TensorFlow

Support

Quality

Security

License

Reuse

Support

FastMaskRCNN has a medium active ecosystem.

It has 3056 star(s) with 1116 fork(s). There are 223 watchers for this library.

It had no major release in the last 6 months.

There are 134 open issues and 55 have been closed. On average issues are closed in 156 days. There are 9 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of FastMaskRCNN is current.

Quality

FastMaskRCNN has 2 bugs (0 blocker, 0 critical, 2 major, 0 minor) and 331 code smells.

Security

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

FastMaskRCNN code analysis shows 0 unresolved vulnerabilities.

There are 1 security hotspots that need review.

License

FastMaskRCNN is licensed under the Apache-2.0 License. This license is Permissive.

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

Reuse

FastMaskRCNN releases are not available. You will need to build from source code and install.

FastMaskRCNN has no build file. You will be need to create the build yourself to build the component from source.

FastMaskRCNN saves you 3256 person hours of effort in developing the same functionality from scratch.

It has 6996 lines of code, 422 functions and 60 files.

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

Top functions reviewed by kandi - BETA

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

Train the model
Return a list of category ids
Run training and validation
Add images to tfrecord
Encodes a set of anchors
Compute the bounding box of the given boxes
Transform boxes
Unmap a numpy array
Parse the file
Builds the pyramid model
Prune the edges of the function
Draw a bounding box
Parse the stream
Wrapper around nMS
Decode mask_targ
Download and store training and validation data
Evaluate the model
Parse all callers
Loads COCO
Parse the call graph
Render the graph
Sum the evaluation results
Parse a SAML stream
Show annotated images
Randomly crop images
Parse the gprof file

Get all kandi verified functions for this library.

FastMaskRCNN Key Features

No Key Features are available at this moment for FastMaskRCNN.

FastMaskRCNN Examples and Code Snippets

No Code Snippets are available at this moment for FastMaskRCNN.

Community Discussions

Trending Discussions on FastMaskRCNN

How to Upgrade OpenCV to Specific Version Using Pip?

ValueError: Shape must be rank 1 but is rank 0 for 'ROIAlign/Crop' (op: 'CropAndResize') with input shapes: [2,360,475,3], [1,4], [], [2]

QUESTION

How to Upgrade OpenCV to Specific Version Using Pip?

Asked 2020-Apr-24 at 02:20

I want to install OpenCV 3.4.0 on Ubuntu 16.04. I tried to build from source following tutorial on internet but run to this problem:

ImportError: /home/ivan/.virtualenvs/cv/lib/python3.5/site-packages/cv2.so: undefined symbol: _ZTIN2cv3dnn19experimental_dnn_v35LayerE

So I decided to just upgrade OpenCV using pip following solution on github https://github.com/CharlesShang/FastMaskRCNN/issues/111:

...

ANSWER

Answered 2019-Feb-12 at 07:15

All you have to do is to put the version in the command as follows

Source https://stackoverflow.com/questions/54644612

QUESTION

ValueError: Shape must be rank 1 but is rank 0 for 'ROIAlign/Crop' (op: 'CropAndResize') with input shapes: [2,360,475,3], [1,4], [], [2]

Asked 2017-Dec-11 at 10:20

I tried to give all input in this function but it comes out problem like below , i not sure what is the empty [] is . There are 2 image image in RGB and the original code is from https://github.com/CharlesShang/FastMaskRCNN/blob/master/libs/layers/crop.py.

...

ANSWER

Answered 2017-Dec-08 at 04:29

[] means that it was a scalar (aka tensor with rank=0), and the op is expecting a 1D tensor (rank=1). Try to pass something like [batch_inds] to the crop_and_resize op, or change it in some other way to make it a vector, not a scalar.

Source https://stackoverflow.com/questions/47694551

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

Vulnerabilities

No vulnerabilities reported

Install FastMaskRCNN

You can download it from GitHub.
You can use FastMaskRCNN 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.