Kütüphane / Dosyalar ve Bulut Depolama
Dosyalar ve Bulut Depolama
[1/3 - anomaly detection] [1/2 - KNN classification] Batch upload dataset to Qdrant
When you run it, it manages files using Google Cloud Storage.
Ne yapar
Now it's time to embed & upload to Qdrant our image datasets; Both of them, crops (you should replace it with your image datasets) Datasets consist of image URLs; images are grouped by folders based on their class. For example, we have a system of subfolders like *"tomato"* and *"cucumber"* for the crops dataset with image URLs of the respective class.
Adımlar
- When clicking ‘Test workflow’
- Google Cloud Storage
- Get fields for Qdrant
- Qdrant cluster variables
- Embed crop image
- Create Qdrant Collection
- Check Qdrant Collection Existence
- Batches in the API's format
- Batch Upload to Qdrant
- Split in batches, generate uuids for Qdrant points
- If collection exists
- Payload index on crop_name
- Filtering out tomato to test anomalies
Benzer otomasyonlar
Dosyalar ve Bulut Depolama[1/3 - anomaly detection] [1/2 - KNN classification] Batch upload dataset to Qdrant13 adımRAG ve Bilgi BankalarıAnomali Tespiti için Mahsul Görsellerini Qdrant'a Yükle13 adımRAG ve Bilgi BankalarıAnomali tespiti için görüntü veri kümelerini Qdrant'a gömme60 adımRAG ve Bilgi BankalarıAnomali tespiti için görüntü veri kümelerini Qdrant'a gömme60 adım