Comments (1)
Please have a look at demo4: There we calculate and visualize the ground truth overlap of the very first frame against all others. The central function which actually does the work is com_overlap_yaw(). If you want the ground truth overlap for all frames, you just have to call this function for all frames (which we do not do in the demo as it takes some time).
If you have the ground truth overlaps, you just define a threshold for the overlap value (we used 30% in the paper). All frame pairs with higher overlap are then loop closure candidates. Here you might leave out the last n frames (we use n=100 in the paper) in order not to get loop closures between recent frames.
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Related Issues (20)
- Questions about my test HOT 2
- Questions about overlapnet HOT 2
- Using overlapnet for a different dataset HOT 6
- Question about covariance ? HOT 2
- Question about computing overlap ground truth HOT 4
- Way to integrate with ROS ?? HOT 5
- Preprocessing time HOT 2
- Question about how to judge a loop closure True Positive or not HOT 4
- FileNotFoundError: [Errno 2] No such file or directory: 'config/demo.yml'
- some errors encountered during training HOT 7
- Some confusion about normalize_data.py HOT 3
- Requirements of pytorch HOT 3
- Some confusion about real overlap calculation HOT 10
- Pytorch version training. HOT 4
- Questions when Generating train_set HOT 6
- Pytorch version training HOT 8
- Problem in the first version HOT 2
- Datasets HOT 1
- How to generate train_set HOT 1
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