DL (Deep Learning) Workbench - The Full Flow | OpenVINO™ toolkit | Ep. 43 | Intel Software

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The full flow of benchmarking models and more using the DL-Workbench.
-How to start
-Load a model and data-sets
-Benchmark on various devices (here I use CPU, GPU, VPU)
-Sweep inference parameters
-Compare the results
-Verify the accuracy
-Calibrate to INT8
-Download a package ready for deployment on your device

sudo docker run -p 127.0.0.1:5665:5665 \
--name my_workbench_container_name \
--privileged \
-v /dev/bus/usb:/dev/bus/usb \
-v /dev/dri:/dev/dri \
-e PROXY_HOST_ADDRESS=0.0.0.0 \
-e PORT=5665 \
-it openvino/workbench:latest \
--ENABLE_GPU --ENABLE_MYRIAD

Download OpenVINO: https://software.intel.com/content/www/us/en/develop/tools/openvino-toolkit/download.html?utm_source=OpenVino_Q4&utm_medium=Email&utm_campaign=cmd_17351-1&utm_content=CurrentVersionhttps://software.intel.com/en-us/foru...

OpenVINO documentation: https://community.intel.com/t5/Intel-Distribution-of-OpenVINO/bd-p/distribution-openvino-toolkit

Explore the Intel® Distribution of OpenVINO™ toolkit.: https://software.intel.com/content/www/us/en/develop/tools/openvino-toolkit.html

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DL (Deep Learning) Workbench - The Full Flow | OpenVINO™ toolkit | Ep. 43 | Intel Softwarehttps://www.youtube.com/intelsoftware



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