v0.58.1
馃敡 Fixed
Warning
Potential OOM errors in inference server as a result of bug introduced in v0.55.0
We've detected a bug that was in inference since 0.55.0 release - setting confidence to 0.0 was historically prevented globally in inference server. Since we wanted to remove that constraint, in 0.55.0 release, we make it possible to set such confidence threshold, but that turned out to lead to OOM issues with some models - namely instance segmentation ones, which in some cases may yield large amount of segmentation masks using wast amount of RAM. To provide quick-fix, we've added CONFIDENCE_LOWER_BOUND_OOM_PREVENTION env variable flag to control the minimal allowed confidence, set by default to 0.01.
Review the change here: #1611
馃彙 Maintenance
- Add disable model monitoring on legacy requests by @rvirani1 in #1607
- Make triggering anchor optional in line_counter block by @grzegorz-roboflow in #1608
Full Changelog: v0.58.0...v0.58.1
