SunJ1025

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stack expects each tensor to be equal size, but got [256,835] at entry 0 and [256,829] at entry 1

I found the descriptors are not the same size, do you konw which step is wrong, leading to a different descriptor sizes?

stack expects each tensor to be equal size, but got [256,835] at entry 0 and [256,829] at entry 1

Thank you for your quick response！I'll have a try.

stack expects each tensor to be equal size, but got [256,835] at entry 0 and [256,829] at entry 1

Sorry to bother you again, but I still have the same problem after modifying max_keypoints=2048, it seems that it's because too few descriptors are fetched, for example [256,835] [256,829], so...

stack expects each tensor to be equal size, but got [256,835] at entry 0 and [256,829] at entry 1

Hello, I have tried to set 'keypoint_threshold': 0.0 in the configs of Hloc, I think the set of configs are right. Maybe it's that 2048 keypoints cannot be extracted from...

Discrepancy in the validation IOU values for Driveable Area segmentation

@flymin hi flymin, I want to ask which **.yaml** did you use to get "**73.69** for road." I only got about 47/48 when I test with the commond `python3 scripts/train.py...

issues about CPU memory use

After my testing, it is caused by `sample=next(train_dataloader)` in train_nuscenes.py mian(), do you know the cause of increased CPU memory consumption here?