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I am trying to run the code and train on a custom dataset. But come across this error. changed the files to be read from list and also installed the dataset .
It will be great if you could help me w…
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@xavysp hi, I finished training, the results are good, but the evaluation results are far from the paper. here are the results: Boundary
ODS: F( 0.79, 0.66 ) = 0.72 [th = 0.70]
OIS: F( 0.81, 0.6…
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It's a nice work of DIFA.
Recently, I need to evaluate my own DA model on NYUD cropped datasets. And I follow the description of Tzeng[1] and tried to crop object in RGB and HHA images. However, the…
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Im trying to write your code according to your paper, but **I have some problem understanding the difference between train_hallucination and train_hallucination_p2**. In your paper it is written: The …
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In this paper, "Clockwork Convnets for Video Semantic Segmentation", The NYUDv2 dataset [6] collects short RGB-D clips and includes a segmentation benchmark with high-quality but temporally sparse pix…
s5248 updated
4 years ago
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Hello, I ran the model_segnet_single.py using the provided cityscape dataset (batch size is set to 8). The relative error is around 24 which is much better than that reported in your paper (which is a…
ghost updated
4 years ago
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I always get that -
--Do not forget to rename the variables in the orginal resnet checkpoint if you are training for the first time
---Run rename_ckpt.sh
Loading pretrained rgb/resnet50...
[]
Tra…
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Following the issue #5 (now the problem is with the loading of the pretrained weights)
I'm able to assign a tensor...and load the value contain in the checkpoints, but... **But it's seem I still …
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So the loading of the rgb/resnet50 is a success but when Loading pretrained depth/resnet50 I got the following error: **The passed save_path is not a valid checkpoint: model/depth.**
_I'm running …