Frappe Image Search

Item Search perform using item image

Install Frappe Image Search

bench get-app https://github.com/manavmandli/frappe_image_search

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About Frappe Image Search

# Frappe Image Search Visual similarity search for ERPNext Items — upload a product image and instantly find matching items ranked by similarity score. --- --- ## Installation ```bash bench get-app https://github.com/your-org/frappe_image_search bench install-app frappe_image_search bench --site migrate ``` ## Quick Start 1. Open any **Item** in ERPNext and set an image in the `Image` field. 2. Build the search index (run once, or after bulk item updates): ```bash bench --site execute frappe_image_search.search.rebuild_index ``` 3. Go to **`/app/image-search`** in the Frappe Desk. 4. Drag-and-drop or upload a product image → click **Search**. 5. Matching items appear with a **Match %** similarity score. > Saving an Item with an image automatically updates its index entry. ## How Similarity Works Each item image is converted to a 1286-dimensional vector combining: - **Spatial colour histograms** — where colours appear in the image - **HOG** (Histogram of Oriented Gradients) — shape and edge structure - **LBP** (Local Binary Patterns) — surface texture (e.g. chain links vs smooth metal) - **Grayscale thumbnail** — coarse intensity layout Search computes cosine similarity between the uploaded image and all indexed items. ## License MIT

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