File size: 4,011 Bytes
ee6192f | 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 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 | #!/usr/bin/env bash
# SPDX-License-Identifier: MIT
# Copyright (C) Intel Corporation
#
# Download face detection and re-identification models from Open Model Zoo
# for the face-matching use case.
# 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
echo ""
echo "--- Downloading face-detection-adas-0001 (FP16) ---"
download_omz_model face-detection-adas-0001 FP16
echo "Ready: face-detection-adas-0001"
echo "--- Downloading face-reidentification-retail-0095 (FP16) ---"
download_omz_model face-reidentification-retail-0095 FP16
echo "Ready: face-reidentification-retail-0095"
echo "--- Downloading sample test video ---"
if [[ ! -f test_video.mp4 ]]; then
wget -q -O test_video.mp4 \
"https://github.com/intel-iot-devkit/sample-videos/raw/master/face-demographics-walking-and-pause.mp4"
echo "Downloaded: test_video.mp4"
else
echo "Already present: test_video.mp4"
fi
echo "--- Capturing the reference face of the left subject from the video ---"
if [[ ! -f face_a.jpg ]]; then
python3 - <<'PY'
import cv2
import numpy as np
import openvino as ov
DET = "intel/face-detection-adas-0001/FP16/face-detection-adas-0001.xml"
core = ov.Core()
det = core.compile_model(core.read_model(DET), "CPU")
inp = det.input(0)
det_h, det_w = inp.shape[2], inp.shape[3]
def left_face_portrait(frame, thr=0.6):
"""Return a head-and-shoulders crop of the left-most detected face."""
h, w = frame.shape[:2]
blob = cv2.resize(frame, (det_w, det_h))
blob = blob.transpose(2, 0, 1)[np.newaxis, ...].astype(np.float32)
out = det([blob])[det.output(0)][0][0]
boxes = [(int(d[3] * w), int(d[4] * h), int(d[5] * w), int(d[6] * h))
for d in out if float(d[2]) >= thr]
if not boxes:
return None
x1, y1, x2, y2 = min(boxes, key=lambda b: (b[0] + b[2]) / 2) # left-most
bw, bh = x2 - x1, y2 - y1
cx1, cx2 = max(0, int(x1 - 0.6 * bw)), min(w, int(x2 + 0.6 * bw))
cy1, cy2 = max(0, int(y1 - 0.7 * bh)), min(h, int(y2 + 1.6 * bh))
return frame[cy1:cy2, cx1:cx2]
# During the 37-42s segment a woman pauses on the left of the frame; capture
# a head-and-shoulders portrait of her as the reference face to search for.
cap = cv2.VideoCapture("test_video.mp4")
cap.set(cv2.CAP_PROP_POS_FRAMES, 468)
ok, frame = cap.read()
crop = left_face_portrait(frame) if ok else None
if crop is None or crop.size == 0:
raise SystemExit("Could not capture a reference face at frame 468")
cv2.imwrite("face_a.jpg", crop)
print("Captured face_a.jpg from frame 468")
cap.release()
PY
else
echo "Already present: face_a.jpg"
fi
echo "--- Done ---"
echo "Detector : intel/face-detection-adas-0001/FP16/face-detection-adas-0001.xml"
echo "ReID : intel/face-reidentification-retail-0095/FP16/face-reidentification-retail-0095.xml"
echo "Reference : face_a.jpg (left subject captured from the sample video)"
echo "Scene : test_video.mp4 (contains the reference subject plus others)"
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