Download export_and_quantize.sh from Intel/appearance-based-search: direct link, hf CLI and curl.
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- Download file 3.07 kB
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https://huggingface.co/Intel/appearance-based-search/resolve/main/export_and_quantize.sh
- Command line
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hf download hf://Intel/appearance-based-search/export_and_quantize.sh
-
curl -L -o export_and_quantize.sh https://huggingface.co/Intel/appearance-based-search/resolve/main/export_and_quantize.sh
3.07 kB
| # SPDX-License-Identifier: MIT | |
| # Copyright (C) Intel Corporation | |
| # | |
| # Download the person detection and person attributes recognition models from | |
| # the Open Model Zoo for the appearance-based-search use case, and download the | |
| # sample retail-aisle video that the samples search for people matching a set | |
| # of appearance attributes (e.g. carrying a bag). | |
| # Usage: ./export_and_quantize.sh | |
| set -euo pipefail | |
| # Official Open Model Zoo public model storage (versioned, immutable). | |
| OMZ_BASE="https://storage.openvinotoolkit.org/repositories/open_model_zoo/2023.0/models_bin/1" | |
| echo "--- Installing dependencies ---" | |
| pip install -qU openvino opencv-python numpy | |
| # Download both the IR topology (.xml) and weights (.bin) for an OMZ model | |
| # from the official storage into intel/<model>/<precision>/. | |
| download_omz_model() { | |
| local model="$1" | |
| local precision="$2" | |
| local dest="intel/${model}/${precision}" | |
| mkdir -p "${dest}" | |
| local ext | |
| for ext in xml bin; do | |
| if [[ ! -f "${dest}/${model}.${ext}" ]]; then | |
| wget -q -O "${dest}/${model}.${ext}" \ | |
| "${OMZ_BASE}/${model}/${precision}/${model}.${ext}" | |
| fi | |
| done | |
| } | |
| # Ask for approval before downloading models and sample files | |
| echo "" | |
| echo "This script will download:" | |
| echo " - Model weights and/or sample files" | |
| echo "" | |
| read -p "Continue with downloads? (yes/no): " APPROVAL | |
| if [[ "${APPROVAL}" != "yes" ]]; then | |
| echo "Download cancelled by user." | |
| exit 0 | |
| fi | |
| # Ping the HuggingFace repo to register a tracked download of config.json. | |
| # This is best-effort: a failure (offline, or before the repo is published) | |
| # must not stop the export. | |
| echo "--- Registering HuggingFace download (tracking ping) ---" | |
| HF_REPO_ID="Intel/appearance-based-search" | |
| HF_CONFIG_URL="https://huggingface.co/${HF_REPO_ID}/resolve/main/config.json" | |
| if curl -fsSL -o /dev/null "${HF_CONFIG_URL}"; then | |
| echo "Registered HuggingFace download for ${HF_REPO_ID}" | |
| else | |
| echo "WARNING: HuggingFace tracking ping failed (offline?); continuing." >&2 | |
| fi | |
| echo "" | |
| echo "--- Downloading person-detection-retail-0013 (FP16) ---" | |
| download_omz_model person-detection-retail-0013 FP16 | |
| echo "Ready: person-detection-retail-0013" | |
| echo "--- Downloading person-attributes-recognition-crossroad-0230 (FP16) ---" | |
| download_omz_model person-attributes-recognition-crossroad-0230 FP16 | |
| echo "Ready: person-attributes-recognition-crossroad-0230" | |
| echo "--- Downloading sample retail-aisle video ---" | |
| if [[ ! -f test_video.mp4 ]]; then | |
| wget -q -O test_video.mp4 \ | |
| "https://github.com/intel-iot-devkit/sample-videos/raw/master/store-aisle-detection.mp4" | |
| echo "Downloaded: test_video.mp4" | |
| else | |
| echo "Already present: test_video.mp4" | |
| fi | |
| echo "--- Done ---" | |
| echo "Detector : intel/person-detection-retail-0013/FP16/person-detection-retail-0013.xml" | |
| echo "Attributes : intel/person-attributes-recognition-crossroad-0230/FP16/person-attributes-recognition-crossroad-0230.xml" | |
| echo "Scene : test_video.mp4 (retail-aisle clip with shoppers of varied appearance)" | |