17 июл. 2024 г. · In this post, we show how to accelerate LightGlue inference using ONNX Runtime and TensorRT, achieving 2x-4x speed gains over compiled PyTorch. |
All OPs can be converted to TensorRT Engine. It will be a highly efficient model that is not offloaded to the CPU. image; If you want to calculate ArgMax for ... |
Supports TensorRT and OpenVINO. ✨ What's New: End-to-end parallel dynamic batch size support. Read more in this blog post. Latency Comparison |
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11 сент. 2024 г. · I converted Lightglue Onnx model to tensorrt engine and I want to inference with it. This model is a feature matcher so its outputs are ... |
17 июл. 2024 г. · In this post, we show how to accelerate LightGlue inference using ONNX Runtime and TensorRT, achieving 2x-4x speed gains over compiled PyTorch. |
Accelerating LightGlue Inference with ONNX Runtime and TensorRT. Outperform torch.compile significantly using ONNX Runtime with TensorRT for LightGlue inference ... |
22 июн. 2024 г. · ... LightGlue-ONNX): export LightGlue to the Open Neural Network Exchange (ONNX) format with support for TensorRT and OpenVINO . 161. - [Image ... |
17 нояб. 2023 г. · Hi @chenscottusa, perhaps you can try exporting the model with a lower onnx opset, but JetPack 6 will be released later this month with TensorRT ... |
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