Hi all,
Sports photographer here, working exclusively in JPEG due to very tight turnaround times. A typical event easily generates 10k+ images, so the entire pipeline has to be highly optimized and as close to zero-touch as possible.
I’m currently evaluating Retrobatch for batch processing, specifically in a fully automated workflow context.
One key bottleneck for me is straightening. In fast-paced environments, a percentage of frames inevitably come out slightly tilted, and manual correction at this scale is not viable.
From a technical standpoint: does Retrobatch offer any form of reliable auto-straighten based on horizon detection or dominant line analysis that can be applied consistently in batch, without per-image intervention?
Ideally, I’m looking for something deterministic enough to trust across large datasets, not just occasional heuristic corrections.
If anyone is running Retrobatch in high-volume production (sports/events) and has tested this, I’d appreciate insights on accuracy, edge cases, and whether it’s robust enough for unattended workflows.
Thanks,
Filipe