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Object Detection from 9 FPS to 650 FPS in 6 Steps

briggers · published 30 September 2020

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Single-node ML Runtime Foundation Read at the source ↗

1 Apr 2023

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https://pytorch.org/hub/nvidia_deeplearningexamples_ssd/

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A Simple and Flexible Pytorch Video Pipeline Read at the source ↗

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https://github.com/pbridger/pytorch-video-pipeline

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https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Detection/SSD

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https://developer.nvidia.com/nsight-systems

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https://pytorch.org/

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https://cupy.dev/

cupy.dev

https://github.com/rapidsai/cudf

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https://github.com/pbridger/pytorch-video-pipeline/blob/master/tuning_batch.py

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https://paulbridger.com/posts/video-analytics-pipeline-tuning/logs/tuning_batch.qdrep

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https://github.com/pbridger/pytorch-video-pipeline/blob/master/tuning_fp16.py

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https://github.com/NVIDIA/apex

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https://pytorch.org/docs/stable/notes/amp_examples.html

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https://images.nvidia.com/content/volta-architecture/pdf/volta-architecture-whitepaper.pdf

images.nvidia.com

https://www.nvidia.com/content/dam/en-zz/Solutions/design-visualization/technologies/turing-architecture/NVIDIA-Turing-Architecture-Whitepaper.pdf

nvidia.com

https://www.nvidia.com/content/dam/en-zz/Solutions/geforce/ampere/pdf/NVIDIA-ampere-GA102-GPU-Architecture-Whitepaper-V1.pdf

nvidia.com

https://paulbridger.com/posts/video-analytics-pipeline-tuning/images/tuning_fp16_one_batch.png

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https://github.com/pbridger/pytorch-video-pipeline/blob/master/tuning_dtod.py

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https://docs.nvidia.com/metropolis/deepstream/4.0/dev-guide/DeepStream_Development_Guide/baggage/structNvBufSurface.html

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https://github.com/pbridger/pytorch-video-pipeline/blob/master/ghetto_nvds.py

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https://paulbridger.com/posts/video-analytics-pipeline-tuning/images/tuning_dtod_one_batch.png

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https://github.com/pbridger/pytorch-video-pipeline/blob/master/tuning_concurrency.py

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https://paulbridger.com/posts/video-analytics-pipeline-tuning/logs/tuning_concurrency.pipeline.dot.png

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https://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html

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https://wiki.python.org/moin/GlobalInterpreterLock

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https://github.com/chrisjbillington/gil_load

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Object Detection at 1840 FPS with TorchScript, TensorRT and DeepStream Read at the source ↗

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