Shypd.aiThe largest open index of AI toolsvedadet is an open-source object detection toolbox based on PyTorch, designed for single-stage object detection. It features a modular design that simplifies the conversion of PyTorch models into TensorRT engines for deployment on NVIDIA devices.
Trending
About
vedadet is a single-stage object detection toolbox built on PyTorch, offering a modular design that re-engineers MMDetection for enhanced flexibility and deployment. It decomposes the detector into four key parts: data pipeline, model, postprocessing, and criterion, making it straightforward to convert PyTorch models into TensorRT engines. This design facilitates efficient deployment on NVIDIA devices such as Tesla V100, Jetson Nano, and Jetson AGX Xavier. The toolbox supports several popular single-stage detectors, including RetinaNet and FCOS, right out of the box. Its friendly integration with TensorRT allows for easy model conversion and deployment through both Python and C++ front-ends, making it a powerful tool for developers working on object detection tasks.
Capabilities
Pricing & Plans
Open Source
Free
FAQs
Trending
