MAR | Pytorch code for our CVPR'19 work | Computer Vision library

by KovenYu Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | MAR Summary

MAR is a Python library typically used in Artificial Intelligence, Computer Vision, Deep Learning, Pytorch applications. MAR has no bugs, it has no vulnerabilities and it has low support. However MAR build file is not available. You can download it from GitHub.

This repo contains the source code for our CVPR'19 work Unsupervised person re-identification by soft multilabel learning (the paper and the supplementary material is available). Our implementation is based on Pytorch. In the following is an instruction to use the code to train and evaluate the MAR model on the Market-1501 dataset.

Support

Quality

Security

License

Reuse

Support

MAR has a low active ecosystem.

It has 300 star(s) with 77 fork(s). There are 10 watchers for this library.

It had no major release in the last 6 months.

There are 5 open issues and 33 have been closed. On average issues are closed in 38 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of MAR is current.

Quality

MAR has 0 bugs and 0 code smells.

Security

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

MAR code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

MAR does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

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

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

Installation instructions are not available. Examples and code snippets are available.

MAR saves you 367 person hours of effort in developing the same functionality from scratch.

It has 876 lines of code, 68 functions and 5 files.

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

Top functions reviewed by kandi - BETA

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

Train one epoch
Train the model
Update the statistics
Create a meter string
Write string to file
Evaluate performance
Evaluate this object
Extract features from a model
Compute the cmc
Perform the forward computation
Calculate the threshold
Calculate the N_pos_pairs
Partition sets
Get the transfer daloader
Turn on
Return the standard deviation
Return the mean of the data
Calculate the mean variance of the log_multilabels
Calculate the mean and standard deviation
Partition parameters into desired_modules
Load a checkpoint
Print options to logger
Parse the arguments
Convert from seconds to microseconds
Create a metric string
Print a string to the log

Get all kandi verified functions for this library.

MAR Key Features

No Key Features are available at this moment for MAR.

MAR Examples and Code Snippets

No Code Snippets are available at this moment for MAR.

Community Discussions

Trending Discussions on MAR

Sort a list of dicts according to a list of values with regex

Enable use of images from the local library on Kubernetes

OkHttpClient sometimes getting incomplete json response

Normalizing nested JSON object into Pandas dataframe

Python how to process complex nested dictionaries efficiently

More concise option to `separate` a column in R (maybe through some RegEx)?

Git for Windows: SSL certificate problem: certificate has expired

Rails SSL certificate error on valid certificate

POST request - works on local (200), but not on docker (403) - Python3

Problems scaling axis tick labels when plotting with plotCI

QUESTION

Sort a list of dicts according to a list of values with regex

Asked 2022-Mar-26 at 13:04

I'd like to sort the keys of the list_of_dicts according to the list_months. It works fine once I remove the digits (years) from the keys of list_of_dicts, but I cannot figure out how to use the regex correctly in the lambda function to include the digits.

My code so far:

...

ANSWER

Answered 2022-Mar-26 at 13:04

No need for a regex here.

Source https://stackoverflow.com/questions/71599069

QUESTION

Enable use of images from the local library on Kubernetes

Asked 2022-Mar-20 at 13:23

I'm following a tutorial https://docs.openfaas.com/tutorials/first-python-function/,

currently, I have the right image

...

ANSWER

Answered 2022-Mar-16 at 08:10

If your image has a latest tag, the Pod's ImagePullPolicy will be automatically set to Always. Each time the pod is created, Kubernetes tries to pull the newest image.

Try not tagging the image as latest or manually setting the Pod's ImagePullPolicy to Never. If you're using static manifest to create a Pod, the setting will be like the following:

Source https://stackoverflow.com/questions/71493306

QUESTION

OkHttpClient sometimes getting incomplete json response

Asked 2022-Mar-03 at 12:02

I have been facing this incomplete json error and unable to find the issue. The API response work fine in POSTMAN. But this issue happened in my android emulator and it only happened randomly. This project is build with kotlin dagger-hilt retrofit2 okhttp3 gson.

Success Response

...

ANSWER

Answered 2022-Mar-03 at 12:02

I suspect the Android emulator might be interfering with you here. I’ve seen issues with it misbehaving, particularly on Windows.

https://issuetracker.google.com/issues/119027639

If you'd like to workaround, consider changing your server to use something other than Connection: close to terminate your response body. Perhaps chunked encoding or a content-length header.

Source https://stackoverflow.com/questions/71333263

QUESTION

Normalizing nested JSON object into Pandas dataframe

Asked 2022-Feb-05 at 07:30

Background: I am trying to normalize a json file, and save into a pandas dataframe, however I am having issues navigating the json structure and my code isn't working as expected.

Expected dataframe output: Given the following example json file (uses randomized data, but exactly the same format as the real one), this is the output I am trying to produce -

New Entity Group Entity ID Adjusted Value
(1/31/2022, No Div, USD) Adjusted TWR
(Current Quarter No Div, USD)) Adjusted TWR
(YTD, No Div, USD) Annualized Adjusted TWR
(Since Inception, No Div, USD) Inception Date Risk Target Portfolio_1 $260,786 (44.55%) (44.55%) (44.55%) * Apr 7, 2021 N/A The FW Irrev Family Tr 9552252 $260,786 0.00% 0.00% 0.00% * Jan 11, 2022 N/A Portfolio_2 $18,396,664 (5.78%) (5.78%) (5.47%) * Sep 3, 2021 Growth FW DAF 10946585 $18,396,664 (5.78%) (5.78%) (5.47%) * Sep 3, 2021 Growth Portfolio_3 $60,143,818 (4.42%) (4.42%) 7.75% * Dec 17, 2020 - The FW Family Trust 13014080 $475,356 (6.10%) (6.10%) (3.97%) * Apr 9, 2021 Aggressive FW Liquid Fund LP 13396796 $52,899,527 (4.15%) (4.15%) (4.15%) * Dec 30, 2021 Aggressive FW Holdings No. 2 LLC 8413655 $6,768,937 (0.77%) (0.77%) 11.84% * Mar 5, 2021 N/A FW and FR Joint 9957007 ($1) - - - * Dec 21, 2021 N/A

Actual dataframe output: despite my best efforts, I have only been able to get bolded rows to map into the dataframe:

JSON file: this is the file I am trying to normalize and map into a dataframe:

...

ANSWER

Answered 2022-Feb-04 at 15:02

Since your children's children has same structure as children, you can try using json_normalize twice separately and append it together.

Source https://stackoverflow.com/questions/70936674

QUESTION

Python how to process complex nested dictionaries efficiently

Asked 2021-Nov-06 at 09:10

I have a complex nested dictionary structured like this:

...

ANSWER

Answered 2021-Nov-05 at 09:13

I was able to get about 25 % faster by combining the three processes.

Source https://stackoverflow.com/questions/69849956

QUESTION

More concise option to `separate` a column in R (maybe through some RegEx)?

Asked 2021-Nov-05 at 16:17

I have a dataframe where I want to separate a column that contains month and year:

...

ANSWER

Answered 2021-Nov-04 at 11:19

base R

Source https://stackoverflow.com/questions/69838290

QUESTION

Git for Windows: SSL certificate problem: certificate has expired

Asked 2021-Oct-18 at 13:33

I am aware that Let's Encrypt made changes that may impact older clients because a root certificate would expire. See DST Root CA X3 Expiration (September 2021).

However, I didn't think this could impact me because my development machine is up-to-date.

But since today I get the message while doing a git pull:

...

ANSWER

Answered 2021-Oct-17 at 13:39

I was facing a similar issue with DevOps build agents. But I can access the DevOps server web interface without any issue.

To solve this,

I updated my Let's Encrypt client (I'm using Certify The Web)
I have renewed my certificate

After that, the DevOps agent is able to do a Git pull.

Source https://stackoverflow.com/questions/69387175

QUESTION

Rails SSL certificate error on valid certificate

Asked 2021-Oct-01 at 14:43

I have small Rails app that performs various checks on our platform and sends me an email in case of an issue. Everything was running fine until today i started getting alerts about the following error:

...

ANSWER

Answered 2021-Oct-01 at 14:43

So after reading through this long thread of the Let's Encrypt community, the solution for my case ended up being to remove the DST Root CA X3 certificate:

Source https://stackoverflow.com/questions/69404785

QUESTION

POST request - works on local (200), but not on docker (403) - Python3

Asked 2021-Sep-07 at 12:24

the python code I tried to work with, simplified the most I could is:

...

ANSWER

Answered 2021-Sep-07 at 12:24

I'll answer myself, as I found the solution, but still do not understand what's wrong.

Looks like pip library requests>=2.25.0 does not work, but all the earlier version works, so changing code to:

Source https://stackoverflow.com/questions/69087408

QUESTION

Problems scaling axis tick labels when plotting with plotCI

Asked 2021-Jul-07 at 01:08

I am plotting points and confidence intervals using the plot function plotCI from the 'gplots' package, but I cannot find the right way to manipulate the tick label sizes. Here's my data frame 'bb':

...

ANSWER

Answered 2021-Jul-07 at 01:08

You can adjust x-axis tick label size with cex.axis=. Beware this code may be more verbose than it needs to be...

The key was to initiate an empty plot area, use add=TRUE and col.axis = NA in plotCI(), and specify your plot attributes manually.

Source https://stackoverflow.com/questions/68162326

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

Vulnerabilities

No vulnerabilities reported

Install MAR

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