43 lines
2.1 KiB
Plaintext
43 lines
2.1 KiB
Plaintext
digraph detection_pipeline {
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rankdir=TB
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bgcolor="#0a0e17"
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fontname="Helvetica"
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node [fontname="Helvetica" fontsize=11 style=filled color="#1e2a4a" fontcolor="#e8eaf0" shape=box]
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edge [fontname="Helvetica" fontsize=9 fontcolor="#8892a8" color="#4a5568"]
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label="Detection Pipeline (core/detect/graph/nodes.py)"
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labelloc=t
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fontsize=16
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fontcolor="#0066ff"
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extract_frames [label="extract_frames\n(ffmpeg, fps from profile)" fillcolor="#121829"]
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filter_scenes [label="filter_scenes\n(scene-change filter)" fillcolor="#121829"]
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field_seg [label="field_segmentation\n(HSV mask · GPU/WASM)" fillcolor="#0d1a33" fontcolor="#0066ff"]
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detect_edges [label="detect_edges\n(Canny + Hough · GPU/WASM)" fillcolor="#0d1a33" fontcolor="#0066ff"]
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detect_objects [label="detect_objects\n(YOLO · GPU)" fillcolor="#1a3a1a" fontcolor="#00c853"]
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preprocess [label="preprocess\n(crop · contrast · deskew)" fillcolor="#121829"]
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run_ocr [label="run_ocr\n(OCR · GPU)" fillcolor="#1a3a1a" fontcolor="#00c853"]
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match_brands [label="match_brands\n(rapidfuzz vs session)" fillcolor="#121829"]
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escalate_vlm [label="escalate_vlm\n(local VLM · GPU)" fillcolor="#1a3a1a" fontcolor="#00c853"]
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escalate_cloud [label="escalate_cloud\n(Anthropic · Gemini\nOpenAI · Groq)" fillcolor="#243056" shape=octagon]
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compile_report [label="compile_report\n(timeline + brand stats)" fillcolor="#0d1a33" fontcolor="#0066ff"]
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extract_frames -> filter_scenes
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filter_scenes -> field_seg
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filter_scenes -> detect_objects
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field_seg -> detect_edges [label="masks"]
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detect_edges -> detect_objects [style=dashed label="region hints"]
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detect_objects -> preprocess [label="boxes"]
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preprocess -> run_ocr
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run_ocr -> match_brands [label="text candidates"]
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match_brands -> escalate_vlm [label="unresolved"]
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escalate_vlm -> escalate_cloud [label="still unresolved"]
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match_brands -> compile_report
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escalate_vlm -> compile_report
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escalate_cloud -> compile_report
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}
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