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semi-supervised-counting

this is a semi-supervised crowd counting

sfanet-crowd-counting

This is an unofficial implement of the arXiv paper Dual Path Multi-Scale Fusion Networks with Attention for Crowd Counting by PyTorch.

snapvision

SnapVision will develop a video processing application that runs on the Snapdragon™ SoC development board. The application will process a video stream and stitch adjacent frames into a mosaic. There are many possible use cases for this project. Some examples include: Aiding in search and rescue operations in hostile environments. Looking into population density in order to solve communication issues, heavy traffic concentrations, etc. Improving crop yield by identifying areas with poor irrigation or disease. Finding broken fences or equipment. Searching incoming weather patterns for abnormal behavior. After looking at the viability of both MATLAB and C++, SnapVision decided to go with C++ and the OpenCV library to complete the image stitching process. Further, we will discuss the project with our chosen subject matter expert to gain additional knowledge about the current research regarding image processing techniques. The next step in the approach after the application is developed and tested would be to run it on the DragonBoard 410c provided by Qualcomm.

socialforcemodel

socialforcemodel-1

space-time-ae

Spatiotemporal Autoencoder to learn representations of videos

sscc-framework

The official code of HPS will be provided here.

ssf

Smart Surveillance Framework

ssl4mis

Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.

st-gcn_ad

Anomaly Detection in Pose Space using st-gcn method

surround360

Surround360 is Facebook's open source hardware and software for capturing stereoscopic 3D 360 video for VR. The repo contains hardware designs, as well as software for camera control and rendering.

temporal-segment-networks

Code & Models for Temporal Segment Networks (TSN) in ECCV 2016

tensorflow-convolutional-autoencoder

This is an implementation of Convolutional AutoEncoder using only TensorFlow

tensorflow-mnist-tutorial

Sample code for "Tensorflow and deep learning, without a PhD" presentation and code lab.

tensorflow-seq2seq-autoencoder

tensorflow_object_tracking_video

Object Tracking in Tensorflow ( Localization Detection Classification ) developed to partecipate to ImageNET VID competition

text-detection-ctpn

text detection mainly based on ctpn model in tensorflow, id card detect, connectionist text proposal network

tf-faster-rcnn

Tensorflow Faster RCNN for Object Detection

tf-pose-estimation

Deep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference.

tfalexnet

this is an implementation of alexnet with tensorflow. Run the train.py for training, and test.py for testing. You only need to config the picture folder path

the-realtime-abnormal-event-detection-project

The Realtime Abnormal Event Detection Project

toolbox

Piotr's Image & Video Matlab Toolbox

trafficcounter

Traffic Counter with C++ and OpenCV, using Kalman Filter

trajectoryviewer

A companion to the Pedestrian Tracker. Can open xml trajectory data and view 3D representations of the trajectories.

tvnet

End-to-End Learning of Motion Representation for Video Understanding

unet-of-remote-sensing-image

The semantic segmentation of remote sensing images

unusual-human-activity-detection

To detect the abnormal/unusual human activities in a video

vehicle-car-detection-and-multilabel-classification

使用YOLO_v3_tiny和B-CNN实现街头车辆的检测和车辆属性的多标签识别 Using yolo_v3_tiny to do vehicle or car detection and attribute's multilabel classification or recognize

vehicle-counting

Video-based vehicle counting system built with Python/OpenCV.

vibe

VIBE Background Subtractior