
Raj Patel optimized the autocalibration service in the open-edge-platform/scenescape repository by redesigning its Docker container to support on-demand downloading of NetVLAD model weights. He implemented a shell script that fetches the required weights only at runtime, eliminating the need to include them during the build process. This approach reduced the Docker image size, improved startup times, and streamlined updates by removing unnecessary dependencies. Raj utilized Dockerfile, Python, and shell scripting to achieve these improvements, focusing on containerization and CI/CD best practices. The work addressed the ITEP-69207 objective and demonstrated a targeted, efficient solution to runtime resource management.
June 2025 monthly summary for open-edge-platform/scenescape. Delivered Docker optimization for autocalibration with on-demand NetVLAD weights download, resulting in smaller container images, faster startup, and streamlined updates.
June 2025 monthly summary for open-edge-platform/scenescape. Delivered Docker optimization for autocalibration with on-demand NetVLAD weights download, resulting in smaller container images, faster startup, and streamlined updates.

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