Umar Iqbal's repositories
Action4Pose_FG2017
Source code for our FG'17 paper: "Pose for Action - Action for Pose"
Convolutional-LSTM-in-Tensorflow
An implementation of convolutional lstms in tensorflow. The code is written in the same style as the basiclstmcell function in tensorflow
dcgan-completion.tensorflow
Image Completion with Deep Learning in TensorFlow
pose-hg-demo
Code to test and use the model from "Stacked Hourglass Networks for Human Pose Estimation"
pose-tensorflow
Human Pose estimation with TensorFlow framework
py-faster-rcnn
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
awesome-computer-vision
A curated list of awesome computer vision resources
awesome-cpp
A curated list of awesome C/C++ frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.
convolutional-pose-machines-release
Code repository for Convolutional Pose Machines
deep-residual-networks
Deep Residual Learning for Image Recognition
deepcut
Multi Person Pose Estimation
DeepLab
Deeplab repository
deeppose
Caffe implementation of DeepPose (http://static.googleusercontent.com/media/research.google.com/ja//pubs/archive/42237.pdf)
lealtaixe.github.io
My website
libconfig_mex
Matlab mex wrapper for libconfig
min-char-rnn
Minimal character-level language model with a Vanilla Recurrent Neural Network, in Python/numpy
PartsBasedDetector
C++ implementation of Deva Ramanan's "Articulated Pose Estimation with Flexible Mixtures of Parts"
py-motmetrics
:bar_chart: Benchmark multiple object tracker (MOT) in Python
queueing-tool
A tool for scheduling multiple parallelized jobs to a machine. Jobs are scheduled according to a user's priority which depends on the requested hardware resources.
Realtime_Multi-Person_Pose_Estimation
Code repo for realtime multi-person pose estimation, without using any person detector.
RMPE
RMPE: Regional Multi-person Pose Estimation, forked from Caffe. Research purpose only.
TensorFlow-Tutorials
TensorFlow Tutorials with YouTube Videos
vatic
An extension to original vatic tools for human action labeling. vatic is an online, interactive video annotation tool for computer vision research that crowdsources work to Amazon's Mechanical Turk. Our tool makes it easy to build massive, affordable video data sets. Written in Python + C + Javascript, vatic is free and open-source software.