arcturusnetworks/acusight-preload repository overview

⁠AcuSight Preload Data Container

⁠Quick Start

docker pull arcturusnetworks/acusight-preload && docker run --rm --network host arcturusnetworks/acusight-preload

⁠What It Does

Creates two demo projects with datasets and models that appear as if trained within AcuSight:

⁠Bottles Project

• Uploads pill-bottles dataset (6,555 train / 549 validation images)
• Creates dataset snapshot with 3 classes
• Registers model with mock MLFlow training history (100 epochs)

⁠Glands Project

• v1 Model: White Gland Detection (uploaded with phantom dataset version)
• v2 Model: Blue-White Gland Detection (1,680 images, 70/20/10 split, mock training)

Idempotent: Safe to run multiple times - skips existing projects and models.

⁠Configuration

⁠Environment Variables

⁠Custom Configuration

docker run --rm --network host \
  -e ACUSIGHT_API="http://192.168.1.100:8080/api" \
  -e MLFLOW_TRACKING_URI="http://192.168.1.100:5000" \
  arcturusnetworks/acusight-preload

⁠Requirements

• AcuSight stack running (API, MLFlow, MinIO, PostgreSQL)
• Network connectivity to all services (use --network host)

⁠Data Included