Comments (4)
- No incremental mapping is used. Only the functionality readily provided by colmap image_registrator, which adds images to a model without adding point observations or bundle adjustment of the structure. We modified the parameters such that poses with fewer inliers than the standard parameters are accepted.
- Yes, we only use the dataset rear images for query. Only these images are used by the evaluation server. Using the left and right images could further improve performance though (see the original paper).
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Thank you @tsattler. Is there a chance that this part of the experiment will be released soon?
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@shamangary All the code needed to replicate this experiment (D2-Net, code for matching D2-Net features and importing them to colmap, colmap) is already available. We are currently not planning to release more code.
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Thanks
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Related Issues (20)
- Issue with preprocessing undistorted images; overlap matrix can not be calculated HOT 2
- d2-net Feature extraction
- unable to download d2_tf.pth HOT 3
- Unable to download weight files! HOT 2
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- please provide source code to export onnx file HOT 2
- unable to resolve host address ‘dsmn.ml’ HOT 3
- The link to "d2-net/hpatches-sequences-cache" seems broken. HOT 2
- how to transfer keypoints get from d2-net to keypoint in opencv?I want to homography and perspectiveTransform operations
- Details about how to find correspondences in megadepth dataset
- -
- Failed to download models HOT 6
- MegaDepth saved npz poses as 1x4 array but should be 4x4 HOT 4
- undistorted reconstructions dataset link Error 404 HOT 2
- Question about the image undistortion HOT 1
- Undistorted and preprocessed images for our dataset HOT 1
- Uploading weights to Hugging Face
- Extracting features encountered RuntimeError: indices should be either on cpu or on the same device as the indexed tensor (cpu) HOT 1
- Error in model retraining parameters
- Inquiry about D2Net for Brain Tumor Segmentation on BraTS2018 Dataset HOT 1
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