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LibreYOLO/
LibreRTMDets-seg

Name: LibreRTMDets-seg
Availability: InStock

libreyolo

object-detection

instance-segmentation

rtmdet

mmdetection

apache-2.0

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LibreRTMDets-seg

RTMDet-Ins-s 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_s_8xb32-300e_coco/rtmdet-ins_s_8xb32-300e_coco_20221121_212604-fdc5d7ec.pth

(SHA-256 fdc5d7ec327cf46dba079d664be98a853e80936098c1778edf5ffb726b084908).

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	0.3872	38.7
COCO val2017 box mAP50-95	0.4413	44.0
SHA256	`29ffa1d3719d335034259c6e1b2accd68c50460f86a44c9d08f497041ee4153f`

Usage

python

from libreyolo import LibreYOLO

model = LibreYOLO("LibreRTMDets-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/LibreRTMDets-seg