DIGITS: Error Code -11 Training DetectNet on KITTI
I get this error repeatedly while trying to train DetectNet on the KITTI dataset.
Iteration 632 (0.410104 iter/s, 192.634s/79 iter), loss = 20.8109
Train net output #0: loss_bbox = 7.84001 (* 2 = 15.68 loss)
Train net output #1: loss_coverage = 16.201 (* 1 = 16.201 loss)
Iteration 632, lr = 0.0001
Snapshotting to binary proto file snapshot_iter_638.caffemodel
Snapshotting solver state to binary proto file snapshot_iter_638.solverstate
Iteration 638, Testing net (#0)
Ignoring source layer train_data
Ignoring source layer train_label
Ignoring source layer train_transform
I am following this example and everything else in DIGITS seems to work just fine so I believe that it is related to opencv but am unsure of how to proceed:
https://github.com/NVIDIA/DIGITS/tree/master/examples/object-detection
About this issue
- Original URL
- State: closed
- Created 8 years ago
- Comments: 15 (5 by maintainers)
The training fails at the same point but now the error changes to Error Code 1 instead of -11. This are the last few lines of the log. I’m not sure what this /home/travis directory is, I don’t have one.
Reinstalling everything and removing Anaconda allowed the training to make it past epoch 1 and the validation test. Hopefully DetectNet will properly train now.