A Deep Learning Study on Point-to-Point Distance Measurement from Single Images DataSet
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# How to Use the Dataset ## Analytical_*.npy Dataset The `Analytical_*.npy` files contain data with 8 columns. These files are generated by analytical reconstruction and calculation methods. The columns are described as follows: - **Column 1**: Distance calculated by the analytical method. - **Columns 2-7**: Coordinates of two points in 3D space calculated by the analytical method. These are represented as *PX*1,*P**Y*1,*PZ*1 for the first point and *PX*2,*P**Y*2,*PZ*2 for the second point. - **Column 8**: The true distance value. Example data entry: ``` [29.34705227, -2.29862888, 29.49907066, 471, -30.12781805, 33.51719758, 463, 74.4] ``` ## data_*.npy Dataset The `data_*.npy` files contain distance data collected using the chessboard corner method. These files have 9 columns, described as follows: - **Columns 1-2**: Pixel coordinates of the first point, *P**x*1 and *P**y*1. - **Columns 3-4**: Additional data *D*11 and *D*12 related to the first point. - **Columns 5-6**: Pixel coordinates of the second point, *P**x*2 and *P**y*2. - **Columns 7-8**: Additional data *D*21 and *D*22 related to the second point. - **Column 9**: The true distance value. Example data entry: ``` [451, 754, 336, 192, 602, 729, 357, 204, 112.8] ``` ------ ## Contact Us If you have any questions or need further assistance regarding the dataset, please feel free to contact us at: **Email**: [1316796953@qq.com](mailto:1316796953@qq.com)
