Ecosyste.ms: Issues
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GitHub / facebookresearch/DepthContrast issues and pull requests
#36 - environment install error
Issue -
State: open - Opened by YanhaoWu almost 2 years ago
- 1 comment
#35 - OSError: CUDA_HOME environment variable is not set. Please set it to your CUDA install root.
Issue -
State: open - Opened by iswarup about 2 years ago
- 1 comment
#34 - Downstream Task: object detection on S3DIS
Issue -
State: open - Opened by sunmaosheng755 almost 3 years ago
- 1 comment
#33 - Questions about KITTI fine-tuning experiments
Issue -
State: open - Opened by YurongYou almost 3 years ago
- 4 comments
#32 - Prepare Dataset (scannet)
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State: open - Opened by r03943158 about 3 years ago
- 4 comments
#31 - Voxelization in transformer
Issue -
State: open - Opened by r03943158 about 3 years ago
- 1 comment
#30 - some question about lidar data augmentation
Issue -
State: closed - Opened by AndyYuan96 about 3 years ago
- 2 comments
#29 - pre-trained Waymo model
Issue -
State: open - Opened by vobecant over 3 years ago
- 1 comment
#28 - environmental install
Issue -
State: open - Opened by katadam over 3 years ago
- 2 comments
#27 - Pre-train with Adam optimizer
Issue -
State: closed - Opened by yichen928 over 3 years ago
- 1 comment
#26 - Per point feature vector?
Issue -
State: closed - Opened by katadam over 3 years ago
- 1 comment
#25 - Why apply slighter data augementation to LiDAR data?
Issue -
State: closed - Opened by yichen928 over 3 years ago
- 1 comment
#24 - Install requirements for pip
Issue -
State: closed - Opened by BjoernMichele over 3 years ago
- 1 comment
#23 - environment install
Issue -
State: closed - Opened by msra-jqxu over 3 years ago
- 5 comments
#22 - Memory leak at the beginning of pretraining
Issue -
State: closed - Opened by chanyn over 3 years ago
- 1 comment
#21 - CUDA error when run pretrain
Issue -
State: closed - Opened by chanyn over 3 years ago
- 11 comments
#20 - KITTI data splits
Issue -
State: closed - Opened by baraujo98 over 3 years ago
- 5 comments
#19 - Evaluating contrastive learning
Issue -
State: closed - Opened by baraujo98 over 3 years ago
- 5 comments
#18 - shuffle bn for voxel input
Issue -
State: closed - Opened by AndyYuan96 over 3 years ago
- 7 comments
#17 - Trainining curve for ScanNet
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State: closed - Opened by BestSonny over 3 years ago
- 2 comments
#16 - Comparing PointRCNN performance to baseline
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State: closed - Opened by baraujo98 over 3 years ago
- 6 comments
#15 - Only one scene loaded by reader.py for preparing Scannet dataset
Issue -
State: closed - Opened by rishabhgks over 3 years ago
- 2 comments
#14 - The current implementation containing bugs on dataloader.
Issue -
State: closed - Opened by BestSonny almost 4 years ago
- 9 comments
#13 - Loading backbone to OpenPCDet
Issue -
State: closed - Opened by baraujo98 almost 4 years ago
- 12 comments
#12 - Preparation of ScanNet
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State: closed - Opened by Ze-Yang almost 4 years ago
- 2 comments
#11 - Resume pretraining from checkpoint
Issue -
State: closed - Opened by baraujo98 almost 4 years ago
- 1 comment
#10 - Pretrained models of PointNet++ cannot be extracted
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State: closed - Opened by 990706TJGU almost 4 years ago
- 3 comments
#9 - Pretraining on KITTI
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State: closed - Opened by baraujo98 almost 4 years ago
- 58 comments
#8 - can't understand table 4?
Issue -
State: closed - Opened by AndyYuan96 almost 4 years ago
#7 - Conda environment file
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State: closed - Opened by baraujo98 almost 4 years ago
- 3 comments
#6 - Downloading ScanNet dataset
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State: closed - Opened by minkyujeon almost 4 years ago
- 1 comment
#5 - Training with smaller GPU memory?
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State: closed - Opened by dringlourious almost 4 years ago
- 1 comment
#4 - Downstream Task: Semantic Segmentation on S3DIS
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State: closed - Opened by katadam almost 4 years ago
- 1 comment
#3 - Running VoteNet on Matterport3D
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State: closed - Opened by memoiry almost 4 years ago
- 11 comments
#2 - training crash
Issue -
State: closed - Opened by dringlourious about 4 years ago
- 9 comments
#1 - Training time
Issue -
State: closed - Opened by chengcchn about 4 years ago
- 1 comment