SiamMask | Fast Online Object Tracking and Segmentation : A Unifying | Computer Vision library

by foolwood Python Version: Current License: MIT

X-Ray Key Features Code Snippets(3)Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | SiamMask Summary

SiamMask is a Python library typically used in Retail, Artificial Intelligence, Computer Vision, Deep Learning, Pytorch, Tensorflow applications. SiamMask has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can download it from GitHub.

NEW: now including code for both training and inference!.

Support

Quality

Security

License

Reuse

Support

SiamMask has a medium active ecosystem.

It has 3379 star(s) with 813 fork(s). There are 96 watchers for this library.

It had no major release in the last 6 months.

There are 149 open issues and 47 have been closed. On average issues are closed in 72 days. There are 4 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of SiamMask is current.

Quality

SiamMask has 0 bugs and 0 code smells.

Security

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

SiamMask code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

SiamMask 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

SiamMask 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.

SiamMask saves you 3300 person hours of effort in developing the same functionality from scratch.

It has 7085 lines of code, 444 functions and 69 files.

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

Top functions reviewed by kandi - BETA

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

Train model
Updates the histogram
Unfix change points
Prints info about the dataset
Create a list of regions for training
Compute the value of the parameter
Calculate the bounding box of a region
Add target and output
Runs the evaluation
Return a list of annotation IDs
Crop a video
Filters out zero tracks
Runs the RPN regression
Get a positive pair of tracks
Load a pretrained pretrained model
Download all images
Crop an image
Crop images from an xml file
Unfix change point
Updates the statistics
Get annotation IDs
Loads and returns a COCO object
Converts TbVos to TbVos
Download a file
Display tracker result
Load a dataset
Show a list of annotated anns
Runs the prediction
Load config file

Get all kandi verified functions for this library.

SiamMask Key Features

No Key Features are available at this moment for SiamMask.

SiamMask Examples and Code Snippets

Introduction

Python

Lines of Code : 38

License : No License

Copy

[1] @inproceedings{danelljan2018atom,
  title={ATOM: Accurate Tracking by Overlap Maximization},
  author={Danelljan, Martin and Bhat, Goutam and Khan, Fahad Shahbaz and Felsberg, Michael},
  booktitle={CVPR},
  year={2019}
}
[2] @inproceedings{wang2

Installation

Python

Lines of Code : 26

License : No License

Copy

 $ git clone https://github.com/Daikenan/LT_DSE.git

   $ git submodule init  
   $ git submodule update

conda env create -f LTDSE.yaml
source activate LTDSE
bash compile.sh

bash download_models.sh

$ LT_DSE
|—— pytracking
  |—— networks
    |—— at

SiamMask,Testing Models

Python

Lines of Code : 18

License : Permissive (MIT)

Copy

cd $SiamMask/data
sudo apt-get install jq
bash get_test_data.sh

cd $SiamMask/experiments/siammask_sharp
wget http://www.robots.ox.ac.uk/~qwang/SiamMask_VOT.pth
wget http://www.robots.ox.ac.uk/~qwang/SiamMask_VOT_LD.pth
wget http://www.robots.ox.ac.u

Community Discussions

Trending Discussions on SiamMask

Can't import .so file due to permissions missing: failed to map segment from shared object

QUESTION

Can't import .so file due to permissions missing: failed to map segment from shared object

Asked 2020-Apr-30 at 09:16

I'm trying to run a custom project that uses large parts of the SiamMask project. When the code is ran, one of the many imports is this one:

...

ANSWER

Answered 2019-Jun-24 at 13:39

I was able to fix this issue in the following way:

I moved the region.cpython-36m-x86_64-linux-gnu.so file to the other drive where Python can execute. I then used the following code in the __init__ file:

Source https://stackoverflow.com/questions/56724726

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

Vulnerabilities

No vulnerabilities reported

Install SiamMask

This code has been tested on Ubuntu 16.04, Python 3.6, Pytorch 0.4.1, CUDA 9.2, RTX 2080 GPUs.
Clone the repository
Setup python environment
Add the project to your PYTHONPATH
(This model was trained on the ImageNet-1k Dataset).

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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