Comments (1)
To provide depth prediction in the initialization of map
points in CNN-SVO, we adopt the Resnet50 variant of the
encoder-decoder architecture from [7] that has already been
trained on Cityscape dataset. Next, we fine-tune the network on stereo images in KITTI raw data excluding KITTI
Odometry Sequence 00-10 using original settings in [7]
for 50 epochs
We used https://github.com/mrharicot/monodepth code for training although since then the depth neural networks improved a lot and you can use any other arbitrary network.
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Related Issues (20)
- What's the translation and rotation error on KITTI Data Set? HOT 1
- Do I need a GPU for monodepth? HOT 1
- OFFLINE ERROR HOT 3
- Do you have KITTI odometry sequence trajectory results? HOT 2
- Errors in ROS melodic HOT 4
- ORB-SLAM for Comparsion HOT 1
- You did a really amazing work... I am very impressed. HOT 1
- formatting error: typestrings not matching HOT 1
- About the the scene with one dominant plane? HOT 1
- Robotcar Dataset HOT 1
- UAV HOT 1
- ros melodic compile error
- run roslaunch in online model HOT 23
- about evaluation code HOT 3
- KITTI splits - Odometry splits HOT 3
- offlinemode fail exit code -6 HOT 28
- 第4步中,报错could not open tracefile HOT 1
- Online mode error: "double free or corruption (out)", exit code -6 HOT 3
- Online mode error with exit code -11 HOT 2
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