Hi @LutaoChu and @dreamer121121
In the forward function of the SemanticConnectivityLoss implementation(https://github.com/PaddlePaddle/PaddleSeg/blob/release/2.4/paddleseg/models/losses/semantic_connectivity_loss.py), are the parameter logits the probabilities map or logit map without applying softmax?
BTW:

There is an issue with the above function implementation.
pred_conn has labels greater than pred_num_conn value.
That's because pred_num_conn is limited as smaller than 10.

This results in an issue in the below line.
pred_conn = F.one_hot(pred_conn.long(), pred_num_conn)

How can we fix this issue?