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action-recognition-pytorch

This is the pytorch implementation of some representative action recognition approaches including I3D, S3D, TSN and TAM.

annotation

extractfeatures1

Extract Image Features

gcn

Implementation of Graph Convolutional Networks in TensorFlow

gnnpapers

Must-read papers on graph neural networks (GNN)

human-activity-recognition-using-machine-learning

Artificial Neural Networks (ANN), k-Nearest Neighbors, Random Forest classifier and Support Vector Machines (SVM) were trained over a HAR dataset on Python and the accuracies achieved by each of the algorithms were compared with each other.

low-light-image-enhancement

Python implementation of two low-light image enhancement techniques via illumination map estimation

mask2former

Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"

mctformer

Code for CVPR 2022 paper "Multi-Class Token Transformer for Weakly Supervised Semantic Segmentation"

mimn

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

sift-win-recompiled

sift feature

temporalconvolutionalnetworks

test

use for test

try_git

zoopt

A python package of Zeroth-Order Optimization (ZOOpt)