Comments (6)
Hi again. I no longer recommend training with synthetic data. We mainly did this for comparison with PDCNet.
I will push an indoor version which is trained on megadepth + scannet, which we found to work the best.
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Also, apologies for things not being consistent, the code is still in active development and the public version may change over time.
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@TWJianNuo The training is now updated for DKMv2, including scannet training. For scannet you need to download the scannet dataset and indices (see https://github.com/zju3dv/LoFTR/blob/master/docs/TRAINING.md). Note that we only used every 10 frames, since the full scannet dataset is extremely large.
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Ahh... I am confused. May I double-check the following facts:
For DKM:
- DKMv2 outdoor: Trained using MegaDepth Only.
- DKMv2 indoor: Trained using MegaDepth + Scannet.
While in the LoFTR paper, they:
- LoFTR outdoor: Trained using MegaDepth Only.
- LoFTR indoor: Trained using Scannet Only.
In the curret Arxiv paper:
Tab.1 is the results from DKM v1, trained on MegaDepth or MegaDepth + Synthetic?
Tab.4 is also the results from DKM v1 but only trained on MegaDepth Dataset
Thanks!
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@TWJianNuo yes, the pre print contains our previous approach with synthetic data and is not up to date. We are continously improving the approach and will soon (in around a month) release an updated preprint. Im dorry if this complicates any reproducing from your part.
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Not at all! I really appreciate your prompt reply and well-maintained codebase!
Thanks!
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Related Issues (20)
- DKM:sample HOT 2
- How many GPUs and consumed memory for your training? HOT 7
- Inference time HOT 2
- Can DKM run on CPU only? HOT 9
- 3d point projection, best way to fetch matches HOT 6
- `numpy.random.choice` to pytorch? HOT 6
- run on batch data HOT 5
- the structure and information of 'warp' HOT 5
- what does low_res_certainty do in dkm.py? HOT 3
- e_R reaches 180° HOT 15
- About the pretrained model HOT 3
- Questions about global matcher HOT 3
- About the pretrained model with resnet18 HOT 1
- When using multi-GPU training, there is additional memory occupancy on GPU 0 HOT 1
- About testing results HOT 2
- DKMv3 and DKMv2 HOT 4
- Pretrained weights licensing HOT 2
- Questions about the key points on Megadepth test images HOT 2
- About previous sota pdc-net+ HOT 5
- torch.linalg.inv HOT 6
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