open-reid | Open source person re-identification library in python | Machine Learning library

by Cysu Python Version: Current License: MIT

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

kandi X-RAY | open-reid Summary

open-reid is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch applications. open-reid 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.

Open source person re-identification library in python

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Quality

Security

License

Reuse

Support

open-reid has a medium active ecosystem.

It has 1277 star(s) with 352 fork(s). There are 41 watchers for this library.

It had no major release in the last 6 months.

There are 35 open issues and 55 have been closed. On average issues are closed in 53 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of open-reid is current.

Quality

open-reid has 0 bugs and 0 code smells.

Security

open-reid has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

open-reid code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

open-reid 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

open-reid 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.

Top functions reviewed by kandi - BETA

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

Download the dataset
Create a directory if necessary
Checks that the image files exist
Write obj to fpath
Evaluate the model
Convert a tensor into a numpy array
Compute mean APM score
Calculate the cmc
Train the model
Update the statistics
Perform the backward computation
Compute the loss
Compute accuracy
Convert ndarray to torch torch
Load training and validation
Return list of identities from identities
Read a JSON file
Fit the model to the data
Validate the covariance matrix
Save the checkpoint to fpath
Get training data
Download the VIPeR
Loads a checkpoint
Evaluate the objective function

Get all kandi verified functions for this library.

open-reid Key Features

No Key Features are available at this moment for open-reid.

open-reid Examples and Code Snippets

Dataset Preparation,Evaluation Protocol

Python

Lines of Code : 18

License : No License

Copy

# In file bpm/dataset/__init__.py

cmc_kwargs = dict(separate_camera_set=False,
                  single_gallery_shot=False,
                  first_match_break=True)

# In open-reid's reid/evaluators.py

# Compute all kinds of CMC scores
cmc_configs

Asymmetric Co-Teaching for Unsupervised Cross Domain Person Re-Identification (AAAI 2020),Acknowlegments

Python

Lines of Code : 6

License : Non-SPDX (NOASSERTION)

Copy

@article{song2018unsupervised,
  title={Unsupervised domain adaptive re-identification: Theory and practice},
  author={Song, Liangchen and Wang, Cheng and Zhang, Lefei and Du, Bo and Zhang, Qian and Huang, Chang and Wang, Xinggang},
  journal={arXiv

Asymmetric Co-Teaching for Unsupervised Cross Domain Person Re-Identification (AAAI 2020),Acknowledgments

Python

Lines of Code : 6

License : No License

Copy

@article{song2018unsupervised,
  title={Unsupervised domain adaptive re-identification: Theory and practice},
  author={Song, Liangchen and Wang, Cheng and Zhang, Lefei and Du, Bo and Zhang, Qian and Huang, Chang and Wang, Xinggang},
  journal={arXiv

Community Discussions

Trending Discussions on open-reid

Import from Github : How to fix ImportError

QUESTION

Import from Github : How to fix ImportError

Asked 2020-Jan-08 at 10:16

I want to use the open source person re-identification library in Python

on Ubuntu 19.04
with Anaconda
no CUDA
in the terminal PyCharm (or not)
Python version 3.7.3
PyTorch version 1.1.0

For that I have to follow instruction like on their deposite git :

...

ANSWER

Answered 2019-Jun-04 at 20:41

It can be observed that reid is not in the same directory as softmax_loss.py, but instead in the parent directory.

So, in the file softmax_loss.py, at line number 12 and below, replace reid with ../reid, this looks for the directory reid in the parent directory.

The other method is to use: import ../reid as R or any other variable; Then use from R import datasets, and so on

Source https://stackoverflow.com/questions/56429621

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

Vulnerabilities

No vulnerabilities reported

Install open-reid

Install PyTorch (version >= 0.2.0). Although we support both python2 and python3, we recommend python3 for better performance.

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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