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[IBVS][DOCS] Document changes for model download windows. (#1788)
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metro-ai-suite/image-based-video-search/docs/user-guide/get-started.md

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@@ -71,7 +71,7 @@ By following this guide, you will learn how to:
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export MODELS_PATH=/output
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chmod +x /home/dlstreamer/dlstreamer/samples/download_public_models.sh
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if [ ! -e "src/dlstreamer-pipeline-server/models/public/yolo11s/INT8/yolo11s.xml" ]; then
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if [ ! -e "src/dlstreamer-pipeline-server/models/public/yolo11s/FP16/yolo11s.xml" ]; then
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for attempt in {1..3}; do
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echo "Attempt $attempt: Running model download and quantization..."
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if /home/dlstreamer/dlstreamer/samples/download_public_models.sh yolo11s coco128; then
@@ -99,23 +99,48 @@ By following this guide, you will learn how to:
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docker pull openvino/ubuntu22_dev:2024.6.0
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$MODELS_PATH="$PWD\models"
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# Download and convert the ResNet-50 model
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docker run --rm `
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-e http_proxy -e https_proxy -e no_proxy \
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-v ${MODELS_PATH}:/output `
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openvino/ubuntu22_dev:2024.6.0 bash -c `
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"omz_downloader --name resnet-50-pytorch --output_dir models && `
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omz_converter --name resnet-50-pytorch --download_dir models --output_dir models && `
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cp -r ./models/public/resnet-50-pytorch /output"
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-e http_proxy `
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-e https_proxy `
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-e no_proxy `
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-v "${MODELS_PATH}:/output" `
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openvino/ubuntu22_dev:2024.6.0 bash -c "
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omz_downloader --name resnet-50-pytorch --output_dir models &&
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omz_converter --name resnet-50-pytorch --download_dir models --output_dir models &&
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cp -r ./models/public/resnet-50-pytorch /output
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"
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# Download and quantize the yolov11s model
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docker pull docker.io/intel/dlstreamer:2025.1.2-ubuntu24
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docker run --rm --user=root `
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-e http_proxy `
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-e https_proxy `
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-e no_proxy `
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-v "${MODELS_PATH}:/output" `
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intel/dlstreamer:2025.1.2-ubuntu24 bash -c @'
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set -e
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mkdir -p src/dlstreamer-pipeline-server/models/public
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export MODELS_PATH=/output
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chmod +x /home/dlstreamer/dlstreamer/samples/download_public_models.sh
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if [ ! -e "src/dlstreamer-pipeline-server/models/public/yolo11s/FP16/yolo11s.xml" ]; then
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for attempt in 1 2 3; do
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if /home/dlstreamer/dlstreamer/samples/download_public_models.sh yolo11s coco128; then
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break
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else
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sleep 2
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fi
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done
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fi
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'@
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docker run --rm `
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-e http_proxy -e https_proxy -e no_proxy \
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-v ${MODELS_PATH}:/output `
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openvino/ubuntu22_dev:2024.6.0 bash -c `
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"omz_downloader --name person-vehicle-bike-detection-2004 --output_dir models && `
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omz_converter --name person-vehicle-bike-detection-2004 --download_dir models --output_dir models && `
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cp -r ./models/intel/person-vehicle-bike-detection-2004 /output"
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```
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```
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</details>
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