Comments (2)
Thanks for your attentions.
m/l/x will come soon.
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Thanks for your attentions. m/l/x will come soon.
请问出来了吗?
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Related Issues (20)
- There are some differences QAT model about result of layer.
- RuntimeError: shape HOT 1
- Training from scratch failed by setting issolo=True in yolov6n_seg.py HOT 1
- Where can we see validation losses? HOT 1
- How to export ONNX model trained with Specific shape? HOT 1
- Which branch to use for fine-tuning? HOT 2
- is it possible to run validation with a costum dataset using coco's pretrained model? where the class order is different and random. HOT 1
- YOLOv6-Segmentation 分割模型导出onnx异常 HOT 3
- yolov6 segment 模型转换为onnx模型后,使用deploy/ONNX/OpenCV/yolo.py 运行异常
- C++部署代码不能运行分割模型导出的onnx模型
- Issue with detecting high aspect ratio and small objects. HOT 6
- Could yolov6-seg do validation by pycocotools now? HOT 1
- Error of tools/eval.py, --task val HOT 5
- Rectangular training for v3 HOT 5
- custom_dataset error HOT 1
- How to properly inference YOLOv6-L6 onnx? HOT 4
- Commercial use HOT 3
- Some questions about inference using various engines HOT 3
- model.names in evaler.py HOT 3
- Yolov6_Face models incompatible HOT 2
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