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YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models
Building a Real-time Hand-Detector using Neural Networks (SSD) on Tensorflow
PyTorch implemented C3D, R3D, R2Plus1D models for video activity recognition.
Apply ML to the skeletons from OpenPose; 9 actions; multiple people. (WARNING: I'm sorry that this is only good for course demo, not for real world applications !!! Those ary very difficult !!!)
Using two stream architecture to implement a classic action recognition method on UCF101 dataset
[CVPR2023] The official repo for OC-SORT: Observation-Centric SORT on video Multi-Object Tracking. OC-SORT is simple, online and robust to occlusion/non-linear motion.
A skeleton-based real-time online action recognition project, classifying and recognizing base on framewise joints, which can be used for safety surveilence.
Unofficial implementation of "TTNet: Real-time temporal and spatial video analysis of table tennis" (CVPR 2020)
PyTorch implementation of two-stream networks for video action recognition
Spatio-Temporal Action Localization System
STEP: Spatio-Temporal Progressive Learning for Video Action Detection. CVPR'19 (Oral)
Automatic Number Plate Detection YOLOv8
License Plate Detection using YOLOv8
Colar: Effective and Efficient Online Action Detection by Consulting Exemplars, CVPR 2022.
Multi Person Skeleton Based Action Recognition and Tracking
Real-world Anomaly Detection in Surveillance Videos- pytorch Re-implementation
Violence detection in videos using Deep Learning (CNNs + LSTMs). 98.5% video accuracy and 97.81% frame level accuracy (with threshold=3) was achieved through the proposed model by Joshua on HockeyF…
Vehicle Counting Using Yolov8 and DeepSORT
Motion detector using computer vision and machine learning
Normalizing Flows for Human Pose Anomaly Detection [ICCV 2023]
An algorithm that uses YoloV5 and DeepSORT to count and measure the number of vehicles in a video stream, it detects the vehicles with YoloV5 and tracks them with DeepSORT to maintain a count of un…
Frame level anomaly detection and localization in videos using auto-encoders
EC351: Introduction to Algorithms