feat: implement backend image classification with TensorFlow.js model
- Extend shared types for image classification, including PredictionProbability, UploaderMetadata, and ImageClassificationRecord. - Create image_classifications table in the database with necessary fields and foreign key constraints. - Implement disease mappers to convert database rows to shared disease records. - Develop uploader client to handle image uploads to external service. - Create image model service to load and classify images using TensorFlow.js. - Add API routes for image classification, including GET for history and POST for new classifications. - Implement frontend components for image classification form and display results. - Update dashboard to integrate image classification functionality and display results. - Document implementation plan for backend image classification.
This commit is contained in:
Asep Haryana Saputra
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}
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@@ -8,6 +8,13 @@
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"when": 1779458573080,
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"tag": "0000_harsh_arachne",
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}
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