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Hi
Thanks for the great work and sharing.
Right now i'm VLP16 own dataset.
can i use it in LU-net or do i need to change the code accordingly?.
because Squeezeseg mentioned as its accepts …
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Hello.
I'm trying to train the **SqueezeSeg** model from **random inital weights**. However, the **iou** seems too low after 16h training (about 16.2%).
GPU: a NVIDIA TITAN X.
Training set: sequ…
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- 목표: 모델 학습을 위한 데이터셋 준비 및 테스트 데이터셋으로 점수 측정
- 결과물 (구체적): 현재 30 GB 단위 데이터 -> KITTI dataset 500MB ~ 1GB 데이터 추리기
- due date: 3월 5일 (목요일)
- 리뷰어: preprossor 담당(덕호님, 유라님)
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Hi, thank you for the work of open source。
When I run in docker, encountered two problems, train output are as follows.
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INTERFACE:
dataset /bonnet/KITTI/
arch_cfg config/arch/squee…
Xl-wj updated
4 years ago
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Hi, I am interestd at your fantastic dataset and can't wait to test my method on it. My method is based on SqueezeSeg. But I haven't project to point cloud myself. Can you release your code projecti…
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Hi, in SqueezeSeg paper it is pointed that for an input tensor of HxWxC, the squeeze layer of the fire module has C/4 filters, and the expand layers have both C/2 filters, but in the code you are sett…
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I was wondering on the importance of the remission (or reflectivity) data? I have simulated Lidar data from Unreal Engine which I am planning to use to train a network from scratch, however that only …
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Thanks for your excellent work.
I am writing to ask the Figure 4 in the paper is based on the result of the validation set or testing set? Can you share the distance IoU results of all baselines?
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Hi, you mentioned that pointnet doesn't work well in outdoor. I wonder PointSeg's performance indoor and would like to try it out. Can PointSeg possibly support other indoor dataset?
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Thanks for sharing your work!
I have a problem about your lidar_2d data, which only has 10848 .npy files. But there are 12915 files raw data with tracklets in KITTI dataset.
Do you throw away some f…
kxhit updated
5 years ago