fakerhbj
fakerhbj
# flat_q, flat_k, flat_v # (batch_size, Nh, height * width, dvh or dkh) flat_q = torch.reshape(q, (N, Nh, dk // Nh, H * W)) flat_k = torch.reshape(k, (N, Nh, dk...
事实上,我通过对原始onnx结果推理和量化后的浮点onnx推理,结果相差巨大,是否表示量化并没有做好?
obb的性能疑惑
### Search before asking - [X] I have searched the YOLOv8 [issues](https://github.com/ultralytics/ultralytics/issues) and [discussions](https://github.com/ultralytics/ultralytics/discussions) and found no similar questions. ### Question obb的性能是采用了多尺度训练和多尺度测试出来的性能结果吗? ### Additional _No response_