Closed Levishery closed 1 year ago
Thank you for your feedback!
We modify Funke lab's ERL computation with an extra argument merge_thres
which is set to 50 to alleviate the effect of skeletonization outliers. https://github.com/PytorchConnectomics/funlib.evaluate/blob/master/funlib/evaluate/run_length.py#L212
Sorry for the delay. We are testing out the docker and it'll be ready in a day or two. will keep you posted
Hello,
According to the paper, the original ERL is extended with a “tolerance” threshold. Is it implemented through the parameter merging threshold? If it's true, I found the explanation of this parameter confusing in https://github.com/PytorchConnectomics/AxonEM-challenge/blob/main/challenge_eval/eval_erl.py.
BTW, when will the challenge timeline come out?
Thanks!