EdgeCrafter-S pose (ONNX)
EdgeCrafter ECPose-S one-stage multi-person pose model (17 COCO keypoints) as ONNX, for OpenCV dnn and the react-native-opencv demo.
- Source: EdgeCrafter (https://github.com/Intellindust-AI-Lab/EdgeCrafter), via the LibreYOLO checkpoint
LibreYOLO/LibreECs-pose, exported to ONNX with named outputs. - License: Apache-2.0. The weights are © The EdgeCrafter Authors (Intellindust AI Lab); this mirror redistributes them with attribution (see
LICENSEandNOTICE). This is not the non-commercial-obj2cocovariant. - Input:
1×3×640×640, float32 RGB. - Outputs:
pred_logits(Q,2)(sigmoid of the last column = person score) andpred_keypoints(Q,34)(x,y normalised to [0,1]). No per-keypoint confidence and no box head; the box is the keypoint extent. - Verified in OpenCV 5 DNN against the PyTorch reference: keypoint error ≤ 0.0013 px on 4 test images. Decoder:
cv::supavision::decodeKeyPointsEcPose. - File:
LibreECs-pose.onnx, 41,137,581 bytes, sha25645a31e81f8c3ca435789cee193b5b9a43e28f78af65573434ac74d60b1b4e732.
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