Repository of the master's thesis focused on the Automatic Detection of Objects in the Track
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Updated
May 31, 2024 - Python
Repository of the master's thesis focused on the Automatic Detection of Objects in the Track
AI car & pedestrian tracking in python utilizing computer vision rather than lidar due to efficiency
a collection of computer vision projects&tools. 计算机视觉方向项目和工具集合。
Toolkits for the synthetic multiview pedestrian detection dataset, MultiviewX.
This repository contains a real-time pedestrian detection and tracking system implemented using deep learning techniques, specifically leveraging the YOLO (You Only Look Once) V8 architecture. The system is designed to detect and track pedestrians in low-light conditions, making it suitable for applications such as night-time driving scenarios.
Official PyTorch Implementation for "Causal Mode Multiplexer: A Novel Framework for Unbiased Multispectral Pedestrian Detection" in CVPR 2024
Official Code of CVPR'23 Paper "VLPD: Context-Aware Pedestrian Detection via Vision-Language Semantic Self-Supervision"
An example of how to install the NVIDIA GPU operator on your Kubernetes cluster and scale your machine learning with Kerberos Vault.
Fine-grained evaluation of pedestrian detectors based on 8 error-categories
Population density tracker using Computer Vision.
Discover the power of computer vision with OpenCV! Dive into practical examples covering image and video processing tasks, from object detection to augmented reality. Let's unlock new perspectives together! 💡✨
Annotation data for JAAD (Joint Attention in Autonomous Driving) Dataset
Code and GMVD Dataset for "Bringing Generalization to Deep Multi-view Pedestrian Detection". Accepted at WACV 2023 Workshop (Real-World Surveillance: Applications and Challenges).
Generalized Multi-View Detection (GMVD) dataset curated using GTA V and Unity. Accepted at WACV 2023 Workshop (Real-World Surveillance: Applications and Challenges).
[Pedestron] Generalizable Pedestrian Detection: The Elephant In The Room. @ CVPR2021
Implementation of different object detection neural networks, in order to detect pedestrians.
A newly built high-resolution dataset for object detection and pedestrian detection (IEEE TIP 2020)
deep learning person search in PyTorch.
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