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LibreYOLO/
LibreRTMDett-seg

Name: LibreRTMDett-seg
Availability: InStock

libreyolo

object-detection

instance-segmentation

rtmdet

mmdetection

apache-2.0

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LibreRTMDett-seg

RTMDet-Ins-tiny COCO instance segmenter, repackaged for the LibreYOLO framework.

Source

Derived from https://github.com/open-mmlab/mmdetection at commit cfd5d3a985b0249de009b67d04f37263e11cdf3d and upstream checkpoint:

https://download.openmmlab.com/mmdetection/v3.0/rtmdet/rtmdet-ins_tiny_8xb32-300e_coco/rtmdet-ins_tiny_8xb32-300e_coco_20221130_151727-ec670f7e.pth

(SHA-256 ec670f7ee9e20bd7931e15f15b7016f7fe531baaab81f2e6153382d046111885).

Modifications

EMA weights were selected from the upstream checkpoint. data_preprocessor.* and batch-tracking buffers were omitted, bbox_head. keys were renamed to head., and the loaded state dict was saved with LibreYOLO checkpoint metadata schema v1.0 (task=segment). Learned model parameters are otherwise preserved.

Validation

Evaluated with LibreYOLO on full COCO val2017 (5000 images) at imgsz=640, conf=0.001, next to the official mmdetection references:

Metric	LibreYOLO	Official
COCO val2017 mask mAP50-95	0.3538	35.4
COCO val2017 box mAP50-95	0.4049	40.5
SHA256	`55c387ce50424e9bf1816b59f6eff7ec1ea9455db35049be46f946670c18d775`

Usage

python

from libreyolo import LibreYOLO

model = LibreYOLO("LibreRTMDett-seg.pt")
res = model.predict("image.jpg")
res.masks      # instance masks
res.boxes      # boxes, scores, classes

License

Apache License 2.0. See the LICENSE and NOTICE files in this repository.

LibreYOLO/LibreRTMDett-seg