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Efficient neural feature detector and descriptor

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I want to use the Superpoint pre-trained model to train on my own data, do I have to perform steps 1 to 6 in the training step?

Hi I want to thank you for your work. It was amazing. I was trying to run `visualize_hpatches_adaptation.ipynb` file in notebook I noticed that there are 3 name in exp:...

I want to ask if my trianing steps are right? Could you tell me? step1 -> step2 -> step3 ->step2 ->step3(maybe repeat 2->3 some times) ->step6 -> step7 I don't...

Hi, Thank you for this great work! I ran into a problem running the step6. The results are as follows.It said ' Image COCO_train2014_000000242900 has no corresponding label /home/lt/Downloads/dierci/superpoint/EXPER_DIR/outputs/mp_synth-v11_export_ha2/COCO_train2014_000000242900.npz', and...

I'd like to avoid bordering artifacts (`allow_artifacts=False`) while enabling perspective transformation in homography, but I don't know how to do it, so I want you to help me. When `perspective_amplitude_x...

Hi, I have been trying to load the pre-trained model provided in the pretrained_models folder, but each time when I try to load the saved_model.pb file, I encountered the "Check...

Hi @rpautrat, I am trying to use the pre-trained model for detection (sp-v6). `!CUDA_VISIBLE_DEVICES=0 python export_detections.py configs/magic-point_coco_export.yaml sp_v6 --pred_only --batch_size=1 --export_name=sp_coco_calib` And I got the following error message. /usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/dtypes.py:516: FutureWarning:...

Hi,friends! good morning, I am coming again! I have finished trained of magic-point and superpoint. Thanks to your help! Now, I am trying visualization, some problems occurred! ![2022-05-11 11-09-09 的屏幕截图](https://user-images.githubusercontent.com/101319406/167761842-841d9e82-9ac5-42ce-bb1b-c17935c67b9a.png)...

Hi, Thank you for this great work! I am testing the detector repeatability and descriptor performance on pre-trained model `sp_v6` following the instructions from #18, and not changing anything else....