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I want to test the validation dataset on various object detection frameworks. So far, I've only managed to do it with CenterPoint because it's the only one I could find with pre-trained detection models in JSON format. The other frameworks seem to have models stored as .pth files. How did you run the validation dataset with LargeKernel3D-L or other detection frameworks?
The text was updated successfully, but these errors were encountered:
How do I regenerated LargeKernel result as you mentioned here, does it require me to retrain it? If that is the case I do not have enough GPU. #1 (comment)
Unfortunately, we don't have the bandwidth here to reproduce it, you'll need to generate detections via weight files. You can also ask the official repo to get the .json file.
Hi again!
I want to test the validation dataset on various object detection frameworks. So far, I've only managed to do it with CenterPoint because it's the only one I could find with pre-trained detection models in JSON format. The other frameworks seem to have models stored as .pth files. How did you run the validation dataset with LargeKernel3D-L or other detection frameworks?
The text was updated successfully, but these errors were encountered: