Add embedding model selection and comparison test scripts
- Update DetectLogosDETR to support both CLIP and DINOv2 models - Rename clip_model parameter to embedding_model - Add model type detection for different embedding extraction - DINOv2 uses CLS token, CLIP uses get_image_features() - Add -e/--embedding-model argument to test_logo_detection.py - Include model name in file output header - Add run_threshold_tests.sh for testing various threshold/margin values - Add run_model_comparison.sh for comparing CLIP vs DINOv2 models
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run_threshold_tests.sh
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run_threshold_tests.sh
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#!/bin/bash
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#
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# Run logo detection tests with various threshold and margin settings.
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# Uses multi-ref (max) matching method for all tests.
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#
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SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
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OUTPUT_FILE="${SCRIPT_DIR}/threshold_test_results.txt"
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# Common parameters
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NUM_LOGOS=20
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REFS_PER_LOGO=10
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POSITIVE_SAMPLES=20
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NEGATIVE_SAMPLES=100
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MIN_MATCHING_REFS=3
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SEED=42
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# Clear output file and write header
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echo "Threshold Optimization Tests" > "$OUTPUT_FILE"
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echo "=============================" >> "$OUTPUT_FILE"
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echo "Date: $(date)" >> "$OUTPUT_FILE"
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echo "" >> "$OUTPUT_FILE"
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echo "Common Parameters:" >> "$OUTPUT_FILE"
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echo " Matching method: multi-ref (max)" >> "$OUTPUT_FILE"
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echo " Reference logos: $NUM_LOGOS" >> "$OUTPUT_FILE"
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echo " Refs per logo: $REFS_PER_LOGO" >> "$OUTPUT_FILE"
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echo " Positive samples: $POSITIVE_SAMPLES" >> "$OUTPUT_FILE"
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echo " Negative samples: $NEGATIVE_SAMPLES" >> "$OUTPUT_FILE"
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echo " Min matching refs: $MIN_MATCHING_REFS" >> "$OUTPUT_FILE"
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echo " Seed: $SEED" >> "$OUTPUT_FILE"
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echo "" >> "$OUTPUT_FILE"
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echo "Running threshold optimization tests..."
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echo " Matching method: multi-ref (max)"
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echo " Reference logos: $NUM_LOGOS"
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echo " Refs per logo: $REFS_PER_LOGO"
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echo " Seed: $SEED"
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echo ""
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# Test 1: Default parameters (baseline)
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echo "=== Test 1: Default parameters (threshold=0.70, margin=0.05) ==="
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uv run python "$SCRIPT_DIR/test_logo_detection.py" \
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--num-logos $NUM_LOGOS \
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--refs-per-logo $REFS_PER_LOGO \
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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 0.70 \
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--margin 0.05 \
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--seed $SEED \
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--output-file "$OUTPUT_FILE"
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echo ""
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# Test 2: Higher threshold
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echo "=== Test 2: Higher threshold (threshold=0.80, margin=0.05) ==="
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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_PER_LOGO \
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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 0.80 \
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--margin 0.05 \
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--seed $SEED \
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--output-file "$OUTPUT_FILE"
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echo ""
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# Test 3: Higher threshold + larger margin
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echo "=== Test 3: Higher threshold + larger margin (threshold=0.80, margin=0.10) ==="
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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_PER_LOGO \
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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 0.80 \
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--margin 0.10 \
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--seed $SEED \
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--output-file "$OUTPUT_FILE"
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echo ""
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# Test 4: Very high threshold
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echo "=== Test 4: Very high threshold (threshold=0.85, margin=0.10) ==="
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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_PER_LOGO \
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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 0.85 \
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--margin 0.10 \
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--seed $SEED \
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--output-file "$OUTPUT_FILE"
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echo ""
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# Test 5: Very high threshold + large margin
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echo "=== Test 5: Strict parameters (threshold=0.85, margin=0.15) ==="
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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_PER_LOGO \
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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 0.85 \
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--margin 0.15 \
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--seed $SEED \
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--output-file "$OUTPUT_FILE"
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echo ""
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# Test 6: Maximum strictness
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echo "=== Test 6: Maximum strictness (threshold=0.90, margin=0.15) ==="
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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_PER_LOGO \
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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 0.90 \
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--margin 0.15 \
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--seed $SEED \
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--output-file "$OUTPUT_FILE"
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echo ""
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echo "Results saved to: $OUTPUT_FILE"
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