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3d-r2n2

Single/multi view image(s) to voxel reconstruction using a recurrent neural network

3d-teeth-reconstruction-from-ct-scans

SJTU-CS337 Computer Graphics Course Project

actionrecognition

Explore Action Recognition

alpr-unconstrained

License Plate Detection and Recognition in Unconstrained Scenarios

awesome-crowd-counting

Awesome Crowd Counting

awesome-deep-vision

A curated list of deep learning resources for computer vision

awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

awesome-satellite-imagery-datasets

🛰️ List of satellite image training datasets with annotations for computer vision and deep learning

awesome-semantic-segmentation

awesome-semantic-segmentation

awesome_3dreconstruction_list

A curated list of papers & ressources linked to 3D reconstruction from images.

awsome-deep-learning-for-video-analysis

Papers, code and datasets about deep learning and multi-modal learning for video analysis

azsegface

A Semantic Segmentation Network trained to segment Human Faces in potrait photos

buildopencvtx2

Build and install OpenCV for the NVIDIA Jetson TX2

caffe

Caffe: a fast open framework for deep learning.

caffe-conf-matrix

Pyhton layer for the Caffe deep learning framework to compute the accuracy and the confusion matrix.

caffe-mnist-test

just test the mnist in caffe.

caffe_scripts

caffemodel2pytorch

Convert Caffe models to PyTorch

change-detection-review

A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.

computer-vision

Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition

context-aware-crowd-counting

Official Code for Context-Aware Crowd Counting. CVPR 2019

covid-chestxray-dataset

We are building an open database of COVID-19 cases with chest X-ray or CT images.

crowd-counting-system-using-unmanned-aerial-vehicle-uav-

Unmanned Aerial Vehicle (UAV) has created much significance in recent times. It is the booming technology which are mostly used in military applications, their use is rapidly expanding to commercial, scientific, agricultural and other applications. In this research, we proposed a model to estimate the density of crowd from aerial view. Our model used Gaussian Kernels to create the heat map (density map), which is used to estimate crowd in an image. We had deployed our model on raspberry pi to estimate crowd in real time from aerial view which has significant accuracy.

crowdflow

Optical Flow Dataset and Benchmark for Visual Crowd Analysis

csrnet-pytorch

CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes

cvpr19-face-anti-spoofing

Code for 2nd Place Solution in Face Anti-spoofing Attack Detection Challenge @ CVPR2019

cyclegan-tensorflow

An implementation of CycleGan using TensorFlow

darkflow

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

deep-learning

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.