Comments (3)
Hello, thanks for your interest. Firstly, please use the trained model mentioned in the readme. Secondly, I think you may need to use the detectron2 included in this project, as different versions of detectron2 may not be compatible with each other.
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Thanks for your reply.
By trained model, do you mean the one which is mentioned in the default configuration file?
WEIGHTS: "https://dl.fbaipublicfiles.com/detectron2/ImageNetPretrained/MSRA/R-50.pkl"
Because I think this file doesn't have weights for all layers of MonoRCNN i.e. FPN and ROI Heads.
Secondly, I copied the detectron2 files from this repository in the original directory of detectron2 repository before building. I guess that should work? What is the correct way of installing detectron2 for this project?
from monodet.
So the output directory MonoDET/projects/MonoRCNN/output
did not exist before.
I retrained the model and after some epochs, I got expected results.
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Related Issues (16)
- TypeError: stat: path should be string, bytes, os.PathLike or integer, not NoneType
- different datasets have different images sizes
- what's the difference between box.hegiht and predicted height ?
- scale = 700 HOT 1
- RuntimeError: CUDA error: device-side assert triggered HOT 2
- Using model for video stream HOT 3
- How to get the average precision (AP) from custom dataset
- ImportError: cannot import name '_C' HOT 1
- evaluate problem
- when I train,why does loss gradually become negative,Thank you! HOT 2
- How to train on Waymo dataset ?
- Training on the Waymo dataset HOT 2
- MonoRCNN++: Where do I find the code? HOT 1
- How you are getting the BEV only using monocular cameras?
- Waymo dataset experiment reproducing
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