PANDA | Adapting Pretrained Features for Anomaly Detection | Computer Vision library

by talreiss Python Version: Current License: Non-SPDX

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

kandi X-RAY | PANDA Summary

PANDA is a Python library typically used in Artificial Intelligence, Computer Vision, Deep Learning, Pytorch applications. PANDA has no bugs, it has no vulnerabilities, it has build file available and it has low support. However PANDA has a Non-SPDX License. You can download it from GitHub.

Official PyTorch implementation of “PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation” (CVPR 2021).

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Support

PANDA has a low active ecosystem.

It has 76 star(s) with 13 fork(s). There are 7 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 11 have been closed. On average issues are closed in 109 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of PANDA is current.

Quality

PANDA has no bugs reported.

Security

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

License

PANDA has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

PANDA 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 are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

Get a resnet model
Wide resnet 50
Resnet 101
ResNet 2
Resnet 18
Create a ResNet
Train model
Run a single epoch
Calculate the score for the given model
Computes the knn score between train and test set
ResNet resnet
Freeze model
Resnet 34
Resnet 4x4 mesh
Get loaders
Freeze model parameters
Create a layer
Wrap wide resnet101
Returns a DataLoader for the given batch size

Get all kandi verified functions for this library.

PANDA Key Features

No Key Features are available at this moment for PANDA.

PANDA Examples and Code Snippets

No Code Snippets are available at this moment for PANDA.

Community Discussions

Trending Discussions on PANDA

Pandas: List of maximum values of difference from previous rows in new column

repeat values of a column based on a condition

Identify distinct mappings of two overlapping columns in Pandas

drop a level two column from multi index dataframe

Create new columns based on rank order in Pandas

Filter dictionary whose values are arrays

Check Graph Reciprocity using Pandas

Parsing XML using Python and create an excel report - Elementree/lxml

Pandas RMSE Groupby Multiple Conditions

How to slice on values instead of index

QUESTION

Pandas: List of maximum values of difference from previous rows in new column

Asked 2021-Jun-16 at 03:33

I want to add a new column 'BEST' to this dataframe, which contains a list of the names of the columns which meet these criteria:

Subtract from the current value in each column the value in the row that is 2 rows back
The column that has the highest result of this subtraction will be listed in 'BEST'
If more more than one column shares the same highest result, they all get listed
If all columns have the same result, they all get listed

Input:

...

ANSWER

Answered 2021-Jun-16 at 03:33

First use shift and subtract to get the diff, then replace the maximum values with the column name and drop the others.

Source https://stackoverflow.com/questions/67995888

QUESTION

repeat values of a column based on a condition

Asked 2021-Jun-16 at 00:54

I have a data frame including three columns named 'Altitude', 'Distance', 'Slope'. The column of 'Slope' is calculated using the two first columns 'Altitude', 'Distance'. @ the first step the purpose was to calculate 'Slope' using a condition explained below: A condition function was deployed to start from the top column of the "Distance" variable and add up (sum) values until the summation of them is greater or equal to 10 (>=10). If this condition corrects then calculate the "Slope" using the given formula: Slope=Average(Altitude)/(sum(Distance)). The summation of the 'Distance' was counting from the first value of that to the index that the 'Distance' has stopped there). The following code is for the above explanation (By Tim Roberts):

...

ANSWER

Answered 2021-May-19 at 13:38

Use this code after you calculate s to get slope column with desired values:

Source https://stackoverflow.com/questions/67602985

QUESTION

Identify distinct mappings of two overlapping columns in Pandas

Asked 2021-Jun-15 at 20:56

Suppose I have a Pandas dataframe with two identifier columns like this:

...

ANSWER

Answered 2021-Jun-15 at 20:56

Sounds like a network issue, try with networkx

Source https://stackoverflow.com/questions/67993365

QUESTION

drop a level two column from multi index dataframe

Asked 2021-Jun-15 at 20:39

Consider this dataframe:

...

ANSWER

Answered 2021-Jun-15 at 20:30

Try:

Source https://stackoverflow.com/questions/67993054

QUESTION

Create new columns based on rank order in Pandas

Asked 2021-Jun-15 at 19:02

I have a data frame like this,

...

ANSWER

Answered 2021-Jun-11 at 05:56

df = df.set_index(["ID", "Rank"])
df = df.unstack("Rank")
df.columns = df.columns.map(lambda col: "_".join(map(str, col)))

Source https://stackoverflow.com/questions/67931685

QUESTION

Filter dictionary whose values are arrays

Asked 2021-Jun-15 at 18:35

I have data which looks like this:

...

ANSWER

Answered 2021-Jun-15 at 18:35

import numpy as np

features_dict = {
    'feat1': np.array([[0,1],[2,3],[4,5]]), 
    'feat2': np.array([[6,7],[8,9],[10,11]]),
    'feat3': np.array([1, 0, 0]),
    'feat4': np.array([[1],[2],[1]])
}

ind = features_dict['feat3'] == 0
features_dict = {k: v[ind] for k,v in features_dict.items()}

Source https://stackoverflow.com/questions/67991514

QUESTION

Check Graph Reciprocity using Pandas

Asked 2021-Jun-15 at 18:22

I have a Graph loaded in pandas and I want to check if my graph has nodes with reciprocity. My dataset looks like this:

id from to 0 s01 s03 1 s02 s01 2 s03 s01

The desired output of my code is the reciprocal nodes: (s01, s03)

I found a solution transforming my dataframe into tuples and comparing each combination of my nodes, but I'm sure this solution is far from ideal. Following is my code:

...

ANSWER

Answered 2021-Jun-15 at 18:22

You can merge the DataFrame with itself after swapping the from and to columns in the right DataFrame. Then sort the merged result and drop duplicates to get the unique pairs of reciprocal nodes.

Source https://stackoverflow.com/questions/67991543

QUESTION

Parsing XML using Python and create an excel report - Elementree/lxml

Asked 2021-Jun-15 at 17:46

I am trying to parse many XML test results files and get the necessary data like testcase name, test result, failure message etc to an excel format. I decided to go with Python.

My XML file is a huge file and the format is as follows. The cases which failed has a message, & and the passed ones only has . My requirement is to create an excel with testcasename, test status(pass/fail), test failure message.

...

ANSWER

Answered 2021-Jun-15 at 17:46

Since your XML is relatively flat, consider a list/dictionary comprehension to retrieve all child elements and attrib dictionary. From there, call pd.concat once outside the loop. Below runs a dictionary merge (Python 3.5+).

Source https://stackoverflow.com/questions/67977767

QUESTION

Pandas RMSE Groupby Multiple Conditions

Asked 2021-Jun-15 at 17:13

I am trying to compute the RMSE of a panda dataframe based on multiple conditions: (plant_name, year, month). My datafram (df3m) looks like this:

...

ANSWER

Answered 2021-Jun-15 at 17:13

You can use .GroupBy.apply() and put the call to mean_squared_error inside it, as follows:

Source https://stackoverflow.com/questions/67990261

QUESTION

How to slice on values instead of index

Asked 2021-Jun-15 at 17:04

I have this panda series

...

ANSWER

Answered 2021-Jun-15 at 17:04

You should set the mydata index to True.

Source https://stackoverflow.com/questions/67990414

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

Vulnerabilities

No vulnerabilities reported

Install PANDA

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

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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