NetDissect
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Network Dissection http://netdissect.csail.mit.edu for quantifying interpretability of deep CNNs.
since python 2 has stopped support, so will there be plans to update the code to python3?
Hello everyone, I would like to understand why the selected threshold value (0.04) in the paper is low? For such a low value, sometimes even random excitation can achieve that...
Hi, I try to run net-dissect-lite on **win10. pytorch 1.9.0, torchvision0.10.0**, I run it through python main.py, but I encountered an error **"OverflowError: timeout value is too large"** when extracting...
I'm trying to run resnet152 trained on ImageNet using the python wrapper provided in the repository with the standard settings but the results are not the same as in the...
How can I identify a concept in an image? I want to debug the dataset to understand the concepts labelled for each image, but I couldn't find a simple way....
LAYERS is set to "features" in the default rundissect_pytorch.sh, and after run rundissect_pytorch.sh, I will see the visualized results about the all 256 units from probes/pytorch_alexnet_imagenet/features.html. My question is if...
Traceback (most recent call last): File "src/netprobe_pytorch.py", line 291, in split=args.split, cl_args=args, verbose=True) File "src/netprobe_pytorch.py", line 52, in create_probe data = loadseg.SegmentationData(args.dataset) File "/home/czy/NetDissect/src/loadseg.py", line 63, in __init__ self.image =...
Hi, I tried your toolbox using my trained model and your broden dataset. I ran rundissect.sh, and I finally got this: Traceback (most recent call last): File "src/report.py", line 425,...
This framework works perfectly! I was wondering if this framework can possibly examine the VGG16 trained on the cifar10 dataset?