Vehicle Detection Overview This project implements a vehicle detection and counting system using OpenCV and Python. It processes a video file, detects moving vehicles, and counts them when they pass a predefined line. Features Uses OpenCV's createBackgroundSubtractorMOG2 for motion detection. Detects...
Docker image is available at: Ubuntu 16.04 + VNC + OpenCV 2.4.13 + Python 2.7 + Vehicle Detection, Tracking and Countinghttps://hub.docker.com/r/andrewssobral/vehicle_detection_tracking_counting/ Release Notes: Version 1.0.0: First version....
The main objective of AVNPR is to recognize the license plate using image processing techniques or optical character recognition by applying pytesseract OpenCV Python package. The main focus is on the detection of vehicle license plate, character segmentation and character recognition.Suneetha, K....
Created vehicle detection pipeline with two approaches: (1) deep neural networks (YOLO framework) and (2) support vector machines ( OpenCV + HOG). - JunshengFu/vehicle-detection
完成。 /home/aistudio/work/PaddleDetection 安装python依赖模块: In [8] !pip install -r requirements.txt Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple Requirement already satisfied: tqdm in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from -r ...
A medical check-up during driving enables the early detection of diseases. Heartbeat irregularities indicate possible cardiovascular diseases, which can be determined with continuous health monitoring. Therefore, we develop a redundant sensor system base
The primary software environment included Python 3.10, Pytorch 2.2.1 + CUDA11.8, Open3D 0.18.0, and OpenCV 4.9.0. During training, the batch size was set to 32, the learning rate to 0.001, and the number of epochs to 10. The enhanced vehicle JPG dataset was loaded and pre-...
Previous VehicleTypeNet Next Optical Character Detection Network © Copyright 2024, NVIDIA. Last updated on Mar 18, 2024.Topics NVIDIA TAO Toolkit v5.2.0 Introduction Overview Pretrained models Key Features How to Get Started TAO Toolkit Architecture Model Pruning Learning Resources ...
The model described in this card is a classification network which aims to classify car images into 6 vehicle types: coupe sedan SUV van large vehicle truck This is a classification model with a Resnet18 backbone.Training Algorithm The training algorithm optimizes the network to minimize the ...
OpenCV Scikit-Learn Matplotlib (Optional) How to Run the Vehicle Detector? python main.py Implementation Vehicle Detection Pipeline The following figure shows the vehicle detection pipeline we used for the project. As the picture depicted, pipeline starts with the sliding window stage. Next, the ext...