This is the Windows app named SSD whose latest release can be downloaded as ssd.pytorchsourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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SSD
DESCRIPTION
SSD is a PyTorch implementation of the Single Shot MultiBox Detector, a well-known object detection architecture introduced in the original SSD paper. It is built to help users train, evaluate, and experiment with object detection models using PyTorch rather than the original Caffe implementation. The repository includes the major components needed for an object detection workflow, including training scripts, evaluation scripts, demos, and utility modules. It supports commonly used benchmark datasets such as PASCAL VOC and MS COCO, and it also provides scripts to simplify downloading and setting up those datasets. For training visibility, the project includes support for Visdom so users can monitor loss in real time through a browser-based interface. Its structure makes it useful both as a reference implementation for learning SSD and as a base for custom experimentation in detection research or practical computer vision projects.
Features
- PyTorch implementation of Single Shot MultiBox Detector
- Support for PASCAL VOC and MS COCO datasets
- Training and evaluation scripts for detection workflows
- Dataset setup scripts for easier installation
- Visdom integration for real-time loss visualization
- Demo and utility modules for experimentation
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/ssd.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
