10:16:56 - INFO - Initializing logo detector with embedding model: models/logo_detection/clip_finetuned
10:16:56 - INFO - Initializing DetectLogosDETR on device: cuda:0
10:16:56 - INFO - DETR model: No local model found, will download from HuggingFace: Pravallika6/detr-finetuned-logo-detection_v2
10:16:56 - INFO - Loading DETR model: Pravallika6/detr-finetuned-logo-detection_v2
Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.
Device set to use cuda:0
10:16:58 - INFO - Embedding model: No local model found, will download from HuggingFace: models/logo_detection/clip_finetuned
10:16:58 - INFO - Loading fine-tuned CLIP model from: models/logo_detection/clip_finetuned
10:16:58 - INFO -   Base model: openai/clip-vit-large-patch14
Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.
10:17:00 - INFO - Fine-tuned CLIP model loaded successfully
10:17:00 - INFO - DetectLogosDETR initialization complete
10:17:00 - INFO - Loading ground truth from database...
10:17:01 - INFO - Loaded ground truth for 158654 test images
10:17:01 - INFO - Sampling 50 reference logos with 3 refs each...
10:17:01 - INFO - Selected 50 reference logos
10:17:01 - INFO - Computing reference logo embeddings...

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10:17:13 - INFO - Computed 150 embeddings for 50 logos
10:17:13 - INFO - Sampling test images: 5 positive, 20 negative per logo...
10:17:14 - INFO - Selected 1248 unique test images

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Testing:   1%|          | 10/1248 [00:05<09:23,  2.20it/s]You seem to be using the pipelines sequentially on GPU. In order to maximize efficiency please use a dataset

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============================================================
LOGO DETECTION TEST RESULTS
============================================================

Configuration:
  Reference logos sampled:   50
  Refs per logo:             3
  Total reference embeddings:150
  Positive samples per logo: 5
  Negative samples per logo: 20
  Test images processed:     1248
  CLIP similarity threshold: 0.7
  DETR confidence threshold: 0.5
  Matching method:           multi-ref
  Matching margin:           0.05
  Min matching refs:         1
  Similarity aggregation:    mean
  Random seed:               42

Metrics:
  True Positives (correct matches):  164
  False Positives (wrong matches):   414
  False Negatives (missed logos):    115
  Total expected matches:            249

Scores:
  Precision: 0.2837 (28.4%)
  Recall:    0.6586 (65.9%)
  F1 Score:  0.3966 (39.7%)

Example False Positives (first 5):
  - Image: Clothes/KooGa/89.jpg
    Matched: timbuk2-1 (similarity: 0.768)
  - Image: Clothes/corneliani/71.jpg
    Matched: KooGa (similarity: 0.775)
  - Image: Others/Baihe/5.jpg
    Matched: yutong-1 (similarity: 0.728)
  - Image: Leisure/webkinz/104.jpg
    Matched: timbuk2-1 (similarity: 0.766)
  - Image: Transportation/sentra/37.jpg
    Matched: xunxing (similarity: 0.787)

Reference logos used (50):
  - A. Marinelli
  - AKOO
  - AOKANG
  - Avlon
  - Braddington Young
  - Bubba Gump Shrimp Company
  - Caffe Pascucci
  - Caribou Coffee
  - Carlos Torano
  - Carola
  - Carolina Herrera
  - Colman's
  - E-CLOTH
  - EskinoL
  - Fruit Selection Yogurt
  - Georgia Boot
  - Gulf Oil
  - Hooters
  - Hovis
  - I Can't Believe It's Not Butter
  ... and 30 more
============================================================