File size: 3,071 Bytes
8ab7118 ade60cb 8ab7118 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 | #!/usr/bin/env bash
# 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)"
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