CoDeNet | efficient object detection model on PyTorch , with SOTA | Computer Vision library

by Zhen-Dong Python Version: Current License: MIT

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

kandi X-RAY | CoDeNet Summary

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

CoDeNet is an efficient object detection model on PyTorch, with SOTA performance on Pascal VOC and Microsoft COCO datasets under efficient settings. It is based on CenterNet with co-designed deformable convolution and an efficient network architecture. It can run 27fps on an Ultra96 (ZU3EG) FPGA with 55.1 AP50 on Pascal VOC.

Support

Quality

Security

License

Reuse

Support

CoDeNet has a low active ecosystem.

It has 10 star(s) with 2 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

CoDeNet has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of CoDeNet is current.

Quality

CoDeNet has no bugs reported.

Security

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

License

CoDeNet 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

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

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

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

Decode heatmap
Left aggregation
Aggregate a heat map
NMS of a heatmap
Counts the number of anchors for each image
Convert a coco box to a bounding box
Performs the forward computation
Compute the lower and upper bound of the input
Evaluate recall
Compute the overlap between two boxes
Debugging function
Load a pre - trained model
Update the output of the dataset
Forward a single channel
Parse command line arguments
Forward computation
Forward convolution function
Perform the forward computation
Create a convolutional layer
Retrieve all C ++ extensions
Debugger function
Debugger for debugging
Define concatenation
Convert a coco box to a bbox
Performs agnex_ct_decoder
Quantize a Shufflenetv2
Debug function

Get all kandi verified functions for this library.

CoDeNet Key Features

No Key Features are available at this moment for CoDeNet.

CoDeNet Examples and Code Snippets

No Code Snippets are available at this moment for CoDeNet.

Community Discussions

Trending Discussions on CoDeNet

Integer pairs having biwise AND equal to 0

QUESTION

Integer pairs having biwise AND equal to 0

Asked 2019-Jul-16 at 18:49

Two integers x and y form a magical pair, if the result of their Bitwise And equals 0. Given an array of integers, find for every array element whether it forms a magical pair with some other array element or not.

Input

First line of the input contains a single integer T denoting the number of test cases. The first line of each test case has an integer N denoting the number of elements in the given array. The second line contains N single space-separated integers a1,a2,...an denoting the elements of the given array.

Output

For each test case ,print N space separated integers in a line. If ai forms a magical pair with any other element of the given array , then ans'i should be equal to 1. Otherwise ans'i is 0.

Constraints

1<=N,Ai<=10^6

I tried brute force. For each element I checked if the bitwise AND of this number is zero or not with any other element present in the array. Obviously, it had a time complexity of O(N^2) and most of my test cases timed out

This problem is here: https://www.hackerearth.com/challenges/test/netapp-codenet-2017/algorithm/d2d1f6a92c6740278682e88ed42068a4/

Can anyone suggest me a better approach or algorithm so it passes the time limit?

Brute force code:

...

ANSWER

Answered 2019-Jul-16 at 11:08

You have to save the operations you do first.

In the example you have 3 6 2 9 10

When you do it by brute force you first do

3 & 6

And after doing all the

3 & y

you repeat

6 & 3

. If you find how to avoid repeating this, you'll solve the problem.

Source https://stackoverflow.com/questions/57055592

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

Vulnerabilities

No vulnerabilities reported

Install CoDeNet

Note that whenever one moves to a new python environment or a new machine, the external lib should be rebuilt.
Make a directory for CoDeNet, clone this repo and rename it as src.
Build a new virtual environment with python3.6 and install the requirements.
Build the external library.
Create directories for experiments, download our pretrained models from google drive and put them under corresponding directories. The directories should look like this.
Prepare data:
For COCO data, download the images (train 2017, test 2017, val 2017) and the annotation files (2017 train/val and test image info) from the MS COCO dataset.
For Pascal data, run the shell script tools/get_pascal_voc.sh. This includes downloading the images, downloading the annotations and merging the two annotation files into one json file.
Put the data directories under CoDeNet/data, and the structure should look like this.

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 .

Find more information at: