Comments (3)
rayguan97
commented on June 24, 2024
Hi,
Welcome to submit a PR to incorporate GOOSE dataset into the config and preparation steps in readme!
Since I have not worked on this dataset, I do not have any experience or general tips on this dataset. You are also welcome to send me an email so we can discuss it further, once I have more details about this dataset.
Best,
Tianrui
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rapzag
commented on June 24, 2024
There you go, I added some basic configuration. If you have time to try the training configuration, I would greatly appreciate some feedback on good parameters / mappings.
Best,
Raphael
from ganav-offroad.
rayguan97
commented on June 24, 2024
Thank you for the pull request. It has been integrated into the repo. :)
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Related Issues (20)
- CUDA out of memory issue when training the model with single GPU HOT 7
- Check point file HOT 10
- about the training loss become nan HOT 6
- Pre-processing images HOT 2
- AssertionError HOT 8
- Enquiry regarding Performance of Training HOT 14
- Error in ONNX conversion HOT 10
- how to get segmentation cost map from segmentation results? HOT 1
- Conversion of RUGD and Rellis Datasets To Rugd6 Group & Training HOT 4
- Is the onnx file generated by pytorch2onnx.py quantized? HOT 1
- Welcome update to OpenMMLab 2.0 HOT 1
- Use pretrained ResNet50 model (backbone) on ImageNet.
- L1? L2? L3? HOT 2
- checkpoint error HOT 4
- Output image of the model HOT 5
- ModuleNotFoundError: No module named 'mmcv._ext' HOT 4
- Change of backbone HOT 2
- rellis folder structure
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