Deteksi objek YOLO yang diekspos sebagai HTTP service, dipanggil oleh Backend Express.js. - AI Service (app.py): FastAPI, load model YOLO sekali saat startup, endpoint POST /predict yang menerima banyak gambar sekaligus (batch). - BE (examples/express-client.js): contoh Express yang menerima upload dari client dan meneruskannya ke AI service. Folder.venv tidak dibagikan lewat git (isinya binary khusus mesin & terlalu besar). Setelah clone repo, buat ulang virtual environment sendiri dari requirements.lock.txt (berisi versi PERSIS yang sudah teruji). - Pakai Python 3.11 (versi lama seperti 3.7 tidak didukung model YOLO baru). - requirements.lock.txt = versi terkunci (paling aman, sama…
Independent publisher
Wilson
wravelio9
Models in Library1
Datasets in Library0
Models on Hugging Face1
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