pysot | SenseTime Research platform for single object | Computer Vision library

by STVIR Python Version: Current License: Apache-2.0

X-Ray Key Features Code Snippets(6)Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | pysot Summary

pysot is a Python library typically used in Telecommunications, Media, Advertising, Marketing, Artificial Intelligence, Computer Vision, Deep Learning, Pytorch applications. pysot 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.

The goal of PySOT is to provide a high-quality, high-performance codebase for visual tracking research. It is designed to be flexible in order to support rapid implementation and evaluation of novel research. PySOT includes implementations of the following visual tracking algorithms:.

Support

Quality

Security

License

Reuse

Support

pysot has a medium active ecosystem.

It has 4221 star(s) with 1106 fork(s). There are 167 watchers for this library.

It had no major release in the last 6 months.

There are 42 open issues and 323 have been closed. On average issues are closed in 26 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of pysot is current.

Quality

pysot has 0 bugs and 0 code smells.

Security

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

pysot code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

pysot 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

pysot 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.

pysot saves you 2907 person hours of effort in developing the same functionality from scratch.

It has 6279 lines of code, 342 functions and 88 files.

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

Top functions reviewed by kandi - BETA

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

Train the model
Print info about the dataset
Build optimizer
Calculate the average reduction
Update the history
Show annotated annotations
Decodes an array of blob objects
Load a list of cats
Tracker the tracker
Compute the bounding box of the given region
Generate all anchors
Download video and cut
Visualize the scene
Get frames from a video
Returns a matplotlibplotlib plot
Compute precision
Compute the norm precision
Compute a dictionary of validation results
Forward feature computation
Helper function to build optimizer
Display tracker results
Displays result
Displays the result of a function
Load and prepare a COCO
Parses and parses the two datasets
Draw f1 precision recall vs recall
Run single image evaluation

Get all kandi verified functions for this library.

pysot Key Features

No Key Features are available at this moment for pysot.

pysot Examples and Code Snippets

Cooling-Shrinking Attack (CSA),Installation

Python

Lines of Code : 15

License : No License

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git clone https://github.com/MasterBin-IIAU/CSA.git
cd 

conda create -n CSA python=3.6
source activate CSA
conda install pytorch=1.0.0 torchvision cuda100 -c pytorch
pip install -r requirements.txt
conda install pillow=6.1

python Unified_GOT10K_pro

Test and Eval

Python

Lines of Code : 9

License : No License

Copy

cd $USOT_PATH && mkdir datasets_test
ln -s $your_benchmark_path ./datasets_test/VOT2018

cd $USOT_PATH
python -u ./scripts/test_usot.py --dataset VOT2018 --resume ./var/snapshot/USOT_star.pth

cd $USOT_PATH/lib/eval_toolkit/pysot/utils
python

Siamese Object Tracking for Unmanned Aerial Vehicle: A Review and Comprehensive Analysis,Test

Python

Lines of Code : 6

License : Permissive (MIT)

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python tools/test_siamapn.py                      \
  --dataset UAVTrack112                           \ # dataset_name
  --datasetpath ./test_dataset                    \ # dataset_path
  --config ./experiments/SiamAPN/config.yaml      \ # tracker_co

gluon-cv - train siamrpn

Python

Lines of Code : 87

License : Non-SPDX (Apache License 2.0)

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"""02. Train SiamRPN on COCO、VID、DET、Youtube_bb
==================================================

This is a Single Obejct Tracking tutorial using Gluon CV toolkit, a step-by-step example.
The readers should have basic knowledge of deep learning and

gluon-cv - otb2015

Python

Lines of Code : 0

License : Non-SPDX (Apache License 2.0)

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"""Prepare OTB 2015 dataset
=========================================

`OTB 2015 dataset `is Visual Tracker Benchmark.
The full benchmark contains 100 sequences from recent literatures.

This tutorial helps you to download OTB 2015 and set it up for

gluon-cv - youtube bb

Python

Lines of Code : 0

License : Non-SPDX (Apache License 2.0)

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"""Prepare Youtube_bb dataset
=========================================

`Youtube_bb dataset `_ is
The data set consists of approximately 380,000 15-20s video segments extracted from 240,000 different publicly visible YouTube videos.

This tutorial h

Community Discussions

Trending Discussions on pysot

Copy generated wheel file to destination

Travis-CI failing to build due to PySide2 and Matplotlib

QUESTION

Copy generated wheel file to destination

Asked 2019-Nov-18 at 12:50

I have the following setup.py:

...

ANSWER

Answered 2019-Nov-18 at 12:50

Use the --dist-dir option. See the help message of the bdist_wheel command for reference:

Source https://stackoverflow.com/questions/58914814

QUESTION

Travis-CI failing to build due to PySide2 and Matplotlib

Asked 2019-Jul-24 at 06:17

I have a github repository where I develop an electrical calculation software.

Recently I completely migrated from PyQt5 to PySide2.

Today I added Travis-CI for continuous integration as a hook to the Githb repository. This means that when I push some changes, travis-CI launches a build of my repository in an independent machine in their cloud.

Travis CI is failing due to this:

...

ANSWER

Answered 2019-Jul-01 at 02:43

You must enable the XVFB service as indicated in the docs to be able to test libraries that need a graphical environment:

Source https://stackoverflow.com/questions/56826665

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

Vulnerabilities

No vulnerabilities reported

Install pysot

Please find installation instructions for PyTorch and PySOT in INSTALL.md.
Download models in PySOT Model Zoo and put the model.pth in the correct directory in experiments.
Download datasets and put them into testing_dataset directory. Jsons of commonly used datasets can be downloaded from Google Drive or BaiduYun. If you want to test tracker on new dataset, please refer to pysot-toolkit to setting testing_dataset.

Support

If you meet problem, try searching our GitHub issues first. We intend the issues page to be a forum in which the community collectively troubleshoots problems. But please do not post duplicate issues. If you have similar issue that has been closed, you can reopen it. :dart:Solution: Run export PYTHONPATH=path/to/pysot first before you run the code. :dart:Solution: Build region by python setup.py build_ext —-inplace as decribled in INSTALL.md.

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