Comments (4)
Thanks for your interest! You could refer to this question.
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Hi, recently, I had trained net as you teach me, but I met other questions, I want to run the test model, I don't know the data type of test, only point cloud. PNG images or test data still include RGB images .Thanks in advance!
from penet_icra2021.
Hi, recently, I had trained net as you teach me, but I met other questions, I want to run the test model, I don't know the data type of test, only point cloud. PNG images or test data still include RGB images .Thanks in advance!
The data type is the same as those for training: RGB + sparse depth (in png format). And the test data is included in test_anonymous folder in KITTI depth dataset.
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Related Issues (20)
- Projection result confirmation HOT 3
- Questions about KITTI-odometry HOT 2
- Runtime measurement HOT 4
- How to use the sparse depth?
- How to use the sparse depth? HOT 4
- Modify the backbone network HOT 3
- lightweight deployment of PENet network
- How to infer PENet for KITTI object task? HOT 3
- broken PNG file HOT 1
- the difference intrinsic parameters between train and test HOT 4
- Modify DA-CSPN++ for single branch input HOT 1
- some questions about the implement of CSPN HOT 4
- Model mismatch at inference time HOT 1
- Tensor Dimension Mismatch HOT 1
- How many parameters dose PENet have? HOT 2
- About training HOT 1
- How to implement the model with ROS?
- can't download the pretrained PENet Model
- Pretrained on NYU dataset?
- RuntimeError: CUDA out of memory.
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