Python-Codes | Python implementation of problems | Learning library

by Tuhin-thinks Python Version: Current License: No License

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

kandi X-RAY | Python-Codes Summary

Python-Codes is a Python library typically used in Tutorial, Learning applications. Python-Codes has no bugs, it has no vulnerabilities and it has low support. However Python-Codes build file is not available. You can download it from GitHub.

Python implementation of problems given in most popular competitive programming contests.

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Support

Python-Codes has a low active ecosystem.

It has 16 star(s) with 9 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

Python-Codes has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Python-Codes is current.

Quality

Python-Codes has no bugs reported.

Security

Python-Codes has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

Python-Codes 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

Python-Codes releases are not available. You will need to build from source code and install.

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

Top functions reviewed by kandi - BETA

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

Main entry point
Query all contacts
Prompt the user for confirmation
Return the average age of all contacts
Create a tree
In order of the tree
Preorder nodes
Build a tree from a string
Search for an element in mat
Product of all elements in arr
Separate elements in an array
Process a list of q - points
Find all the elements of A
Find the nearest element in mat
Convert num to b
Find the next permutation
Find an element in an array
Return a list of survivors
Validate an address
Calculate the minSwaps of an array
Finds all the diagonal of a matrix
Traverses a binary quadrature
Get substring count
Find k nearest neighbors
Generate the bounding box
Calculate the max sum of two lists
Round a number to a given place

Get all kandi verified functions for this library.

Python-Codes Key Features

No Key Features are available at this moment for Python-Codes.

Python-Codes Examples and Code Snippets

No Code Snippets are available at this moment for Python-Codes.

Community Discussions

Trending Discussions on Python-Codes

Detectron2 Panoptic FPN Model Partial Execution - TypeError: 'NoneType' object is not iterable

QUESTION

Detectron2 Panoptic FPN Model Partial Execution - TypeError: 'NoneType' object is not iterable

Asked 2020-Jun-08 at 02:08

I am trying to extract the pre-output feature-map for the Panoptic Output of Detectron2 ResNet50 - based FPN model.

Hence, In order to get partial model outputs, I am following the official Detectron2 Modeling Documentation to Partially Execute Models.

Please find the code below:

...

ANSWER

Answered 2020-Jun-08 at 02:08

With a bit more digging, I solved the issue. There were a couple of problems in the above code:

I did not set the model to eval mode first - model.eval(). The model needs to be set to eval fist.
The mode.proposal_generator() expects inputs in the form of ImageList object, details regarding which can be found here.

Performing the above two steps solved the issue.

Source https://stackoverflow.com/questions/62253755

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

Vulnerabilities

No vulnerabilities reported

Install Python-Codes

You can download it from GitHub.
You can use Python-Codes 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.