From a3008ee57f39938668c79d74b88f2122a2a7e1f9 Mon Sep 17 00:00:00 2001
From: Rick McEwen <mcewen@flgator.com>
Date: Wed, 31 Dec 2025 17:53:06 -0500
Subject: [PATCH] Remove extraneous file from repository, keep local only

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 .gitignore |  3 +++
 CLAUDE.md  | 53 -----------------------------------------------------
 2 files changed, 3 insertions(+), 53 deletions(-)
 delete mode 100644 CLAUDE.md

diff --git a/.gitignore b/.gitignore
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 # Results files
 results*.txt
 sample_results.txt
+
+# Claude Code instructions (local only)
+CLAUDE.md
diff --git a/CLAUDE.md b/CLAUDE.md
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-# CLAUDE.md
-
-This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
-
-## Project Overview
-
-Logo detection system using deep learning models:
-- **DETR** (DEtection TRansformer) for logo region detection
-- **CLIP** (Contrastive Language-Image Pre-training) for feature extraction and matching
-
-## Development Commands
-
-```bash
-# Install dependencies (uses uv package manager)
-uv sync
-
-# Run main script
-uv run python main.py
-
-# Run logo detection module directly
-uv run python logo_detection_detr.py
-```
-
-## Architecture
-
-### Core Module: `logo_detection_detr.py`
-
-The `DetectLogosDETR` class provides the main detection pipeline:
-
-1. **Detection Flow**: OpenCV image (BGR) → DETR detects bounding boxes → CLIP extracts embeddings for each region
-2. **Matching Flow**: Compare detected embeddings against reference logo embeddings using cosine similarity
-
-**Key Methods:**
-- `detect(image)` - Detect logos, returns boxes + CLIP embeddings
-- `get_embedding(image)` - Get CLIP embedding for a reference logo
-- `compare_embeddings(emb1, emb2)` - Cosine similarity between embeddings
-- `detect_and_match(image, references, threshold)` - Combined detection and matching
-
-### Model Configuration
-
-Models are resolved in this order:
-1. Absolute path if provided
-2. Local directory from environment variables (`LOGO_DETR_MODEL_DIR`, `LOGO_CLIP_MODEL_DIR`)
-3. Default local paths: `models/logo_detection/detr`, `models/logo_detection/clip`
-4. HuggingFace download as fallback
-
-Default models:
-- DETR: `Pravallika6/detr-finetuned-logo-detection_v2`
-- CLIP: `openai/clip-vit-large-patch14`
-
-### Reference Dataset
-
-`LogoDet-3K/` contains logo images organized by category: Clothes, Electronic, Food, Leisure, Medical, Necessities, Others, Sports, Transportation.
\ No newline at end of file