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Parskatt
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DKM
[CVPR 2023] DKM: Dense Kernelized Feature Matching for Geometry Estimation
https://parskatt.github.io/DKM/
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accept either a path to an image or a PIL Image
#16
scott-vsi
closed
1 year ago
1
It is fair to compare DKM directly with LoFTR when DKM uses more training data sampled from MegaDepth ?
#15
noone-code
closed
1 year ago
15
Did you test your DKM in the Aachen Benchmark ?
#14
noone-code
closed
1 year ago
3
when demo dkmV3 release ?
#13
QuanNguyen94
closed
1 year ago
2
DKMv2 and DKMv3 paper
#12
chicleee
closed
1 year ago
0
purpose of conf_thresh parameter in sample function is confusing
#11
Tobimaru
closed
1 year ago
3
Does the DKM requires the fixed size (384*512) images as input ?
#10
noone-code
closed
1 year ago
2
running demo_match.py without GPUs
#9
cxmscb
closed
1 year ago
1
Match Score
#8
atharvjairath
closed
1 year ago
4
With Synthetic Dataset Training Codes
#7
TWJianNuo
closed
1 year ago
6
fix deprecated upsampling method
#6
Parskatt
closed
1 year ago
0
Logics in function "upsample_preds" hard to understand
#5
TWJianNuo
closed
1 year ago
2
np.random.choice for good_samples
#4
ufukefe
closed
2 years ago
10
replace self.matcher by self.decoder in line 740 of dkm.py
#3
felipecadar
closed
2 years ago
0
Error when using option `do_pred_in_og_res=True`
#2
felipecadar
closed
2 years ago
1
Traning Code
#1
felipecadar
closed
1 year ago
9
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