Stars
Cross-platform, customizable ML solutions for live and streaming media.
Tool to convert bag files to image files for RealSense
Models and examples built with TensorFlow
🔀 Neural Network (NN) Streamer, Stream Processing Paradigm for Neural Network Apps/Devices.
Sorting Google Scholar search results based on the number of citations
Fall detection from mobile phones sensors data
This project is machine learning project that detect falls in individual using reading from accelerometer and gyroscope
Dataset for fall detection in a wearable device
MSF - Modular framework for multi sensor fusion based on an Extended Kalman Filter (EKF)
A selection of state-of-the-art research materials on trajectory prediction
Collection of publicly available IPTV channels from all over the world
Vectornet for trajectory prediction, implemented in PyTorch/Torch_geometric
This is the code base for our ACM CSCS 2019 paper: "RobustTP: End-to-End Trajectory Prediction for Heterogeneous Road-Agents in Dense Traffic with Noisy Sensor Inputs". This codebase contains imple…
Social LSTM using PyTorch for Vehicle Data
Code for "Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks", Gupta et al, CVPR 2018
The devkit of the nuScenes dataset.
Modification of the paper "Social LSTM: Human Trajectory Prediction in Crowded Space" with the insertion of a new way to take into account social information and the consideration of the pedestrian…
A helpful script to convert your pre labelled pascal dataset into a format so you can import it into Microsoft VOTT labeller
OpenLabeler is an open source desktop application for annotating objects for AI appplications
Single Shot MultiBox Detector in TensorFlow
LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source …
Label Studio is a multi-type data labeling and annotation tool with standardized output format
An re-implementation for Siamese-RPN with Tensorflow
Most popular metrics used to evaluate object detection algorithms.
k-means clustering with the Intersection over Union (IoU) metric as described in the YOLO9000 paper