Non Max Suppression from Scratch using PyTorch
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Updated
Aug 18, 2024 - Python
Non Max Suppression from Scratch using PyTorch
A Django-based web application that uses YOLOv8 models for detecting military vehicles in aerial reconnaissance videos. It leverages ensemble learning, consensus voting, and Non-Maximum Suppression (NMS) to improve detection accuracy and provide processed videos with highlighted objects for easy analysis.
Build the Spigot as concurrently.
Prewitt edge detector: gradient filter és nonmaxima-suppression (NMS), Thresholding algorithm by Otsu, Detection of circular object by edge detection and Hough transform for circles, Motion tracking of feature points and dense optical flow
Implements non max suppression
High accurate tool for automatic faces detection with landmarks
A two-stage 3d convolutional network for object detection in medical image processing...
Object detection demo with adaptive partitioning to improve the detection rate
HG532D-Status-Collector: This is a helper script to collect device status data for Zabbix NMS
目标检测 - SSD算法实现
目标检测 - YOLO v1算法实现
Debian Package for NAV, based on a fork of the original repo
box utils, including iou and nms of bbox and rbbox for both gpu and cpu
One-to-Few Label Assignment for End-to-End Dense Detection (CVPR2023)
Open Source Network Management System
Non-Maximum Suppression for Object Detection in Python
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