Hi,everyone!
I have been confused by a problem recently. How to implement the SoftNMS algorithm instead of the original tf.image.non_maximum_suppression(). Here is the SoftNMS repo: https://github.com/DocF/Soft-NMS . (这里是SoftNMS的代码仓库)
I test it successfully when the boxes and scores are np.ndarray. But I get back this big error message errors when instead of the original tf.image.non_maximum_suppression().
You can find Tensorflow C++ source code,tf.image.non_maximum_suppression() is softnms actually。
Hi,everyone!
I have been confused by a problem recently. How to implement the SoftNMS algorithm instead of the original tf.image.non_maximum_suppression(). Here is the SoftNMS repo: https://github.com/DocF/Soft-NMS . (这里是SoftNMS的代码仓库)
I test it successfully when the boxes and scores are np.ndarray. But I get back this big error message errors when instead of the original tf.image.non_maximum_suppression().
You can reference my code https://github.com/Stinky-Tofu/Stronger-yolo
tf.image.non_maximum_suppression
@S601327412 non_maximum_suppression() refers to different NMS versions(V2, V3, V4),
I read the code of these versions, they all finally use DoNonMaxSuppressionOp(),
however, I don't think it uses soft-NMS.
mark and waiting for solutions.
你好,同学,请问这个soft-nms问题得到解决了吗?我这几天一直在弄。