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Sorry that Matterport is a pain -- we would have released the images but weren't allowed to If the check is failing it means the images being generated on the fly are not the ones we used, so the numbers you get when you comment out the line are not comparable (and this is what I would expect -- hence having the check).
You have two choices:
You could just use the new set of images (but then please run an evaluation on KITTI or the RealEstate dataset to ensure that your version of pytorch is running the models correctly)
Try to diagnose why you're getting different generated images. My hunch is that it's because you're not loading in the dataset splits correctly. These splits are https://github.com/facebookresearch/synsin/tree/master/data/scene_episodes and they decide the environment to load in. These splits are generated if they are not found here, so the code would still run but the splits would be wrong. I would check that the right splits are being found in that part of the code. I hope that helps!
Hi,
I have been trying to replicate your result on the MP3D dataset and I receive this error :
So i guess the problem is in this line
synsin/evaluation/eval.py
Line 74 in 82ff948
The only change is that I have to edit the opts.config since you hardcoded it
synsin/evaluation/eval.py
Line 119 in 82ff948
opts.config = '/home/phong/data/Work/Paper3/Libraries/habitat-api/configs/tasks/pointnav_rgbd.yaml'
When I tried to comment out the checking function
synsin/evaluation/eval.py
Line 202 in 82ff948
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