Add script to test optimal refs per logo for baseline CLIP
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132
run_refs_per_logo_test.sh
Executable file
132
run_refs_per_logo_test.sh
Executable file
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#!/bin/bash
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#
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# Test different numbers of reference logos per brand to find optimal setting.
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# Uses baseline CLIP with multi-ref (max) matching method.
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#
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# Usage:
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# ./run_refs_per_logo_test.sh
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#
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SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
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OUTPUT_FILE="${SCRIPT_DIR}/test_results/refs_per_logo_analysis.txt"
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# Model - baseline CLIP (best for unknown logos)
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MODEL="openai/clip-vit-large-patch14"
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# Fixed parameters
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NUM_LOGOS=20
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POSITIVE_SAMPLES=20
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NEGATIVE_SAMPLES=100
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MIN_MATCHING_REFS=1
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THRESHOLD=0.70
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MARGIN=0.05
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SEED=42
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# Refs per logo values to test
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REFS_TO_TEST="1 2 3 5 7 10 15 20"
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# Create output directory if needed
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mkdir -p "${SCRIPT_DIR}/test_results"
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# Clear output file and write header
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cat > "$OUTPUT_FILE" << EOF
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Reference Logos Per Brand Optimization
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======================================
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Date: $(date)
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Model: ${MODEL}
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Method: multi-ref (max)
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Fixed Parameters:
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Number of logo brands: ${NUM_LOGOS}
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Similarity threshold: ${THRESHOLD}
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Margin: ${MARGIN}
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Min matching refs: ${MIN_MATCHING_REFS}
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Positive samples/logo: ${POSITIVE_SAMPLES}
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Negative samples/logo: ${NEGATIVE_SAMPLES}
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Seed: ${SEED}
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Testing refs per logo: ${REFS_TO_TEST}
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EOF
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echo "Reference Logos Per Brand Optimization"
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echo "======================================="
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echo "Model: ${MODEL}"
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echo "Testing refs per logo: ${REFS_TO_TEST}"
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echo ""
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# Results table header
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echo "Results Summary:" >> "$OUTPUT_FILE"
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echo "----------------" >> "$OUTPUT_FILE"
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printf "%-12s %8s %8s %8s %8s %8s %8s\n" "Refs/Logo" "TP" "FP" "FN" "Prec" "Recall" "F1" >> "$OUTPUT_FILE"
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echo "------------------------------------------------------------------------" >> "$OUTPUT_FILE"
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# Track best result
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BEST_F1=0
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BEST_REFS=0
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for REFS in ${REFS_TO_TEST}; do
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echo "=== Testing refs_per_logo=${REFS} ==="
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# Run test and capture output
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OUTPUT=$(uv run python "$SCRIPT_DIR/test_logo_detection.py" \
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--num-logos $NUM_LOGOS \
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--refs-per-logo $REFS \
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--positive-samples $POSITIVE_SAMPLES \
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--negative-samples $NEGATIVE_SAMPLES \
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--matching-method multi-ref \
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--min-matching-refs $MIN_MATCHING_REFS \
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--use-max-similarity \
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--threshold $THRESHOLD \
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--margin $MARGIN \
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--seed $SEED \
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--embedding-model "$MODEL" \
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2>&1)
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# Extract metrics
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TP=$(echo "${OUTPUT}" | grep "True Positives" | grep -oE "[0-9]+" | head -1)
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FP=$(echo "${OUTPUT}" | grep "False Positives" | grep -oE "[0-9]+" | head -1)
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FN=$(echo "${OUTPUT}" | grep "False Negatives" | grep -oE "[0-9]+" | head -1)
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PREC=$(echo "${OUTPUT}" | grep "Precision:" | grep -oE "[0-9]+\.[0-9]+%" | head -1)
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RECALL=$(echo "${OUTPUT}" | grep "Recall:" | grep -oE "[0-9]+\.[0-9]+%" | head -1)
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F1=$(echo "${OUTPUT}" | grep "F1 Score:" | grep -oE "[0-9]+\.[0-9]+%" | head -1)
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# Print to console
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echo " TP: ${TP}, FP: ${FP}, FN: ${FN}"
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echo " Precision: ${PREC}, Recall: ${RECALL}, F1: ${F1}"
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echo ""
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# Add to results table
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printf "%-12s %8s %8s %8s %8s %8s %8s\n" "${REFS}" "${TP}" "${FP}" "${FN}" "${PREC}" "${RECALL}" "${F1}" >> "$OUTPUT_FILE"
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# Track best F1
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F1_NUM=$(echo "${F1}" | tr -d '%')
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if [ -n "$F1_NUM" ]; then
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BETTER=$(echo "${F1_NUM} > ${BEST_F1}" | bc -l 2>/dev/null || echo "0")
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if [ "$BETTER" = "1" ]; then
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BEST_F1="${F1_NUM}"
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BEST_REFS="${REFS}"
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fi
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fi
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# Also append full output for this test
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echo "" >> "$OUTPUT_FILE"
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echo "======================================================================" >> "$OUTPUT_FILE"
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echo "DETAILED RESULTS: refs_per_logo=${REFS}" >> "$OUTPUT_FILE"
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echo "======================================================================" >> "$OUTPUT_FILE"
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echo "${OUTPUT}" | grep -A 50 "Configuration:" | head -30 >> "$OUTPUT_FILE"
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echo "" >> "$OUTPUT_FILE"
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done
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# Summary
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echo "------------------------------------------------------------------------" >> "$OUTPUT_FILE"
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echo "" >> "$OUTPUT_FILE"
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echo "OPTIMAL SETTING: refs_per_logo=${BEST_REFS} (F1 = ${BEST_F1}%)" >> "$OUTPUT_FILE"
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echo "" >> "$OUTPUT_FILE"
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echo "======================================="
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echo "OPTIMAL: refs_per_logo=${BEST_REFS} (F1 = ${BEST_F1}%)"
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echo "======================================="
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echo ""
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echo "Results saved to: $OUTPUT_FILE"
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