Comments (5)
Hi @lfxx,
I think there can be two potential directions:
- Synthesize data: if your testing data is not too far from what you can synthesize, then I think the model trained on synthetic dataset should work reasonably well on real data.
- Scan and label real data: if 1 doesn't work, probably you have to go through this approach. Similar to how ScanNet was created.
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采用第二种方法的话,还是需要在scannet数据集上做预训练吧,然后再在自己的训练集上调优?
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Maybe, I cannot tell...
It depends on the object types you want to work with, as well as how much data you can scan/label.
from pointcnn.
1.The datasets made on my own is small,so is it a good idea to get the net pretrained on scannet datasets?
2.我自制的数据集肯定是比较小的那种,所以感觉还是需要预训练一下,这样效果可能会比较好?
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Try it ;-)
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Related Issues (20)
- About “Note that S is an unordered set” in the paper
- Own data segmentation
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- Regarding custom dataset HOT 7
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- done
- How to set the path? python3 s3dis_merge.py -d <path to *_pred.h5>
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