
Worked on the open-edge-platform/scenescape repository to optimize the autocalibration service’s Docker container by introducing on-demand downloading of NetVLAD model weights. This approach removed build-time dependencies and reduced the overall image size, resulting in faster container startup and a smaller runtime footprint. The solution involved developing a shell script to fetch model weights only when needed, streamlining updates and improving efficiency. Leveraging skills in Dockerfile, Python, and shell scripting, the work aligned with CI/CD and containerization best practices. The changes addressed the ITEP-69207 objective, focusing on Docker optimization for autocalibration with dynamic NetVLAD model weight 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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