Comments (4)
@giorat I'm afraid not as it is in commercial use (https://www.altizure.com/). But you are welcome to try it out by simply uploading your images to the cloud (free of charge as long as they are not too large).
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To get a quick start, I would suggest you following the instructions of ETH local feature benchmark. You may use the provided script to extract local feature from images, dump them into binary files (<DESC_1><DESC_2><...><DESC_N>) then run their MATLAB scripts to complete the reconstruction by COLMAP. This is what I did for experiments in Fig.3. I may also provide a script to run the above procedures in the future.
Experiments in Fig.5 were conducted with our own 3D reconstruction pipeline in order to get finer mesh reconstructions. The pipeline is a more efficient with TensorFlow C++ APIs, GPU-based matching and GPU-based keypoint detector.
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@lzx551402 Thanks for your patient and quick reply. I'll start from your suggestions.
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@lzx551402 are you planning on opensourcing your 3D reconstruction pipeline?
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Related Issues (12)
- License information HOT 1
- Hpatches graph ploting script
- Problems when calling the model trained by tfmatch
- running examples with tensorflow2
- Match ratio HOT 1
- Extracting Descriptors on HPatches HOT 5
- Training code HOT 2
- why is this sorted according to cv_kpts.size? HOT 2
- 关于特征点使用的问题
- How to creating training dataset? HOT 1
- Patch size HOT 3
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