MoonBlvd

Aircraft-Detection

ano_pred_cvpr2018

Official implementation of Paper Future Frame Prediction for Anomaly Detection -- A New Baseline, CVPR 2018

Anomaly_Prediction

Pytorch implementation of anomaly prediction.

DeepLearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

Detection-of-Traffic-Anomaly

This is the repo for our Detection of Traffic Anomaly (DoTA) dataset.

fvl-ICRA2019

Official code for future vehicle localization paper implemented in Keras

Mask_RCNN

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

Sticky-HDP-HMM

This is forked from yunjhongwu's github: https://github.com/yunjhongwu/Sticky-HDPHMM-demo

tad-IROS2019

Code of the Unsupervised Traffic Accident Detection paper in Pytorch.

MoonBlvd/Detection-of-Traffic-Anomaly

This is the repo for our Detection of Traffic Anomaly (DoTA) dataset.

MoonBlvd/tad-IROS2019

Code of the Unsupervised Traffic Accident Detection paper in Pytorch.

MoonBlvd/fvl-ICRA2019

Official code for future vehicle localization paper implemented in Keras

MoonBlvd/DeepLearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

MoonBlvd/maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

MoonBlvd/ano_pred_cvpr2018

Official implementation of Paper Future Frame Prediction for Anomaly Detection -- A New Baseline, CVPR 2018

MoonBlvd/Anomaly_Prediction

Pytorch implementation of anomaly prediction.

MoonBlvd/AnomalyDetectionCVPR2018

MoonBlvd/bidireaction-trajectory-prediction

The code for Bi-directional Trajectory Prediction (BiTraP).

MoonBlvd/deeplabv3

PyTorch implementation of DeepLabV3, trained on the Cityscapes dataset.

MoonBlvd/DiT

Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

MoonBlvd/Env_setup

A readme file shows how to setup a working environment.

MoonBlvd/flownet2-pytorch

Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

MoonBlvd/jetson-detectors

Contains examples and documentation on how to setup your remote development environment from your Windows host to a Jetson device

MoonBlvd/jetson-inference

Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

MoonBlvd/keras-ncp

Code repository of the paper Neural circuit policies enabling auditable autonomy published in Nature Machine Intelligence

MoonBlvd/mil_ucf_cvpr2018

MoonBlvd/nuscenes-devkit

The devkit of the nuScenes dataset.

MoonBlvd/openpose

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

MoonBlvd/PIE_annotations

Annotations for Pedestrian Intention Estimation (PIE) dataset

MoonBlvd/PIEPredict

PIE: A Large-Scale Dataset and Models for Pedestrian Intention Estimation and Trajectory Prediction

MoonBlvd/pytorch-i3d

MoonBlvd/segmentation_models.pytorch

Segmentation models with pretrained backbones. PyTorch.

MoonBlvd/sim_traj

Code for Stochastic Sampling Simulation paper (https://ieeexplore.ieee.org/document/8967857)

MoonBlvd/STAR

Code for "Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction"

MoonBlvd/TFSegmentation

RTSeg: Real-time Semantic Segmentation Comparative Study

MoonBlvd/Trajectron-plus-plus

Code accompanying "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (* denotes equal contribution).

MoonBlvd/transfusion-pytorch

Pytorch implementation of Transfusion, "Predict the Next Token and Diffuse Images with One Multi-Modal Model", from MetaAI

MoonBlvd/Video-LLaVA

Video-LLaVA: Learning United Visual Representation by Alignment Before Projection

MoonBlvd/VideoLLaMA2

VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs