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tudelft
Hello, may I ask whether the code for quantitatively evaluating the effect of the model is considered public? We found that the data in the test set does not contain...
Since there is no code to evaluate the effect of reconstruction in this project, we refer to the implementation of the evaluation function of [WarranWeng/ET-Net](https://github.com/WarranWeng/ET-Net). However, we find that the...
I was trying to evaluate the provided EV-FlowNet and FireFlowNet models for estimating optical flow on the MVSEC dataset and had some issues replicating the AEE results. The provided models...
Hi @fedepare, and thanks for this great work. I have a question about the post-processing steps performed after the image reconstruction network. In the paper, it is stated that the...
Hi, thanks for the amazing work. But I have a question about the dataset. The events loaded uses data augmentations such as horizon flip, and random crop to 128x128 when...
/home/conda/feedstock_root/build_artifacts/pytorch-recipe_1664415167092/work/aten/src/ATen/native/cuda/ScatterGatherKernel.cu:144: operator(): block: [35,0,0], thread: [0,0,0] Assertion `idx_dim >= 0 && idx_dim < index_size && "index out of bounds"` failed. /home/conda/feedstock_root/build_artifacts/pytorch-recipe_1664415167092/work/aten/src/ATen/native/cuda/ScatterGatherKernel.cu:144: operator(): block: [35,0,0], thread: [1,0,0] Assertion `idx_dim >= 0...
