janisgp / Sampling-free-Epistemic-Uncertainty

Code for the ICCV 2019 paper "Sampling-free Epistemic Uncertainty Estimation Using Approximated Variance Propagation"
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SegNet model build fail #4

Closed fatrybl closed 4 years ago

fatrybl commented 4 years ago

Dear author, Thank you very much for your research. Ive read it with great interest! I tried to implement classification with Bayessian SegNet model, but faced this problem while launching SegNet-CamVid11-Bayesian.ipynb file. The packages are pretty fresh and the only difference from your requirements is Pillow package. My Pillow version is 7.0 But it seems like it isnt gonna influence on that Screenshot from 2020-03-21 17-43-56

I also tried to change parameter name to dropout_location = dropout_location. It didnt help.

janisgp commented 4 years ago

Hi @fatrybl

Thanks for pointing this problem out. The parameter dropout_loc was a development artifact. I removed it in the latest commit. I further added a yaml file with the newer conda environment in which I just ran the notebook. Feel free to create a conda environment from it.

Best, Jansi

janisgp commented 4 years ago

Hi @fatrybl

does this solve your problem?

Best, Janis

fatrybl commented 4 years ago

Thanks for fast solution and reply! yeah, that problem has been solved, but another occurred. image

image

janisgp commented 4 years ago

Hey,

is the a folder called "y3595640ea0b061d5422951ed3e1a7bf0" (or equivalently y"some other hash") in the folder ".../Sampling-free-Epistemic-Uncertainty/Bayesian_SegNet/src/datasets/camvid" ? And if so, does it contain a file metadata.csv?

Best, Janis

janisgp commented 4 years ago

Hey @fatrybl

did you resolve the problem?

Best, Janis

janisgp commented 4 years ago

@fatrybl

can the issue be closed?

Best, Janis

fatrybl commented 4 years ago

Frankly speaking, I did not chech yet, so you might close it, if you are sure that evrrything wotkd well 11.04.2020, 11:22, "janisgp" notifications@github.com: @fatrybl can the issue be closed? Best, Janis

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