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Image vector to product details

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sriram
2026-09-19 15:39:53 +05:30
parent bc786b1c49
commit f933ea10a1
20 changed files with 2391 additions and 27 deletions
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13
.env.example
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@@ -326,6 +326,19 @@ ENABLE_IMAGE_VECTORS=true
#IMAGE_EMBED_MODEL_PATH=/app/app/services/models/mobilenet/mobilenet_v3_small_embedder.tflite
#IMAGE_EMBED_NUM_THREADS=2
# Identify a product from a phone photo (POST /api/search/identify). A phone
# photo scores ~0.63 on img_vector against the catalog's render of the same
# pack, so below IMAGE_IDENTIFY_MIN_IMAGE_SCORE the label text decides: the
# client's OCR `text` if it sent one, else what the server reads off the photo
# with rapidocr (models ship in the wheel; see requirements-ocr.txt). Set
# ENABLE_SERVER_OCR=false to rely on client text only.
ENABLE_SERVER_OCR=true
#OCR_MIN_CONFIDENCE=0.5
#OCR_MAX_SIDE_PX=1280
#OCR_NUM_THREADS=2
#IMAGE_IDENTIFY_MIN_IMAGE_SCORE=0.70
#IMAGE_IDENTIFY_MIN_TEXT_SCORE=0.60
# Product SKU: try a live web search for a real marketplace product ID
# (Amazon ASIN, Flipkart PID, etc.) before falling back to an internal SKU.
# Set to false to always generate internal SKUs only (faster, offline-safe).