CNN-SVO
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the training of depth predictor
How is your depth predictor trained? What is the code for training? What training set did you use?
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.