facebook360_dep
Facebook360 Depth Estimation Pipeline - https://facebook.github.io/facebook360_dep
by facebookHTML
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Active · 4 in progress · Last activity 1mo ago
See all on GitHub →Title Feature/coarsest level batching Description Summary Adds an option to process the first N coarsest pyramid levels in a single worker job to reduce S3 download/upload overhead during AWS renders. This trades off skipping temporal filtering for those batched levels, which is often acceptable and can significantly speed up renders. New flag: (default 0) Pipeline batches for the coarsest N levels, then continues remaining levels as usual (with optional temporal filtering) Worker updated to handle multi-level runs and upload outputs for all levels in the batch Adds a test to validate runs successfully over a multi-level range Changelog [Render] [Feature] - Batch coarsest N pyramid levels per worker to reduce I/O; skip temporal filtering for batched levels Test Plan Unit tests: Added in to run with and ensure multi-level execution works. Manual validation (example): Run with batching enabled (e.g., batch 6 coarsest levels): Verify outputs exist for all batched levels in and that temporal filtering is only applied to subsequent finer levels (if ). Files modified: (new flag) (batching logic + skip temporal filtering for batched levels) (multi-level input/output handling) (new multi-level test)
Recent fixes
Hi, first of all thanks for providing this software. The software license (BSD) is clear to me, but I it is not clearly stated if the example data has the same license. Could this be clarified? There is an active standardization project within MPEG called MPEG Immersive Video (MIV) [ https://gitlab.com/mpeg-i-visual/tmiv ], and I was wondering if the example data that you have provided could be used at least for "academic and standardization purposes".
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Repository: facebook/facebook360_dep. Description: Facebook360 Depth Estimation Pipeline - https://facebook.github.io/facebook360_dep Stars: 257, Forks: 52. Primary language: HTML. Languages: HTML (88.4%), C++ (5.8%), Python (3.8%), JavaScript (1.2%), CSS (0.5%). Open PRs: 4, open issues: 18. Last activity: 1mo ago. Community health: 87%. Top contributors: aparrapo, h-friederich, bkcabral, tschrager, amyreese, yfeldblum, zertosh, bowiechen, 8Keep, nlutsenko and others.