This is an LWIR stereo-hyperspectral database to develop HADAR algorithms for thermal navigation. Based on this database, one can develop algorithms for TeX decomposition to generate TeX vision. One can also develop algorithms about object detection, semantic or scene segmentation, optical or scene flow, stereo depth etc. based on TeX vision instead of traditional RGB or thermal vision.
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Training and Testing Set Partitioning in TeXNet, and Loading Custom Datasets for Testing #24
Firstly, thank you very much for providing us with such outstanding code and for your willingness to share it. After carefully reviewing the code you shared, I have two inquiries that I hope you can address.
Firstly, I noticed that the training images appear to be included in the testing phase as well. I would greatly appreciate it if you could clarify how the training and testing sets are partitioned in TeXNet.
Secondly, I am interested in learning how to load my own dataset for testing purposes. Could you please provide guidance on the appropriate method for doing so?
If you could provide answers to these questions，I would greatly appreciate your insights.
Hello Dr. Bao,
Firstly, thank you very much for providing us with such outstanding code and for your willingness to share it. After carefully reviewing the code you shared, I have two inquiries that I hope you can address.
Firstly, I noticed that the training images appear to be included in the testing phase as well. I would greatly appreciate it if you could clarify how the training and testing sets are partitioned in TeXNet.
Secondly, I am interested in learning how to load my own dataset for testing purposes. Could you please provide guidance on the appropriate method for doing so?
If you could provide answers to these questions，I would greatly appreciate your insights.