A repo containing our work on our EE-final project on fusing 2D and 3D data using neural networks
labels: filter unwanted data. we would want to stay only with the points from the point cloud who projected into the the 2D photo and points from the following classes: high poles/antena(3 or 11), wires 10,bushes or tree (2 or 8), structures 7, noise 5
opcodes: source .venv/bin/activate -- run this every time before running the main python3 main.py -- run main
good flights: baqua_megido_flyby_mode_7_day_2_v1_files_5_8_IDS_fgOpt_Hybrid.1160.1.7z baqua_megido_flyby_mode_7_day_2_v1_files_1_4_IDS_fgOpt_Hybrid.1150.1.7z 3.7z 4.7z 5.7z 14.7z medium flights: 6.7z
bad flights: 15.7z
index flights: 17:17,18 18:19,20 19:21,22 20:23,24 21:25,26 22:27,28 23:29,30 24: 31,32 25: 33,34 26: 35,36 27:37,38 28: 39,40 29: 41,42 30: 43,44 31: 45,46 32: 47,48 33:49,50 34: 51,52 35: 53,54 36: 55,56 37: 57,58 38: 59,60 39: 61,62 40: 63,64 41:65,66 42:67,68 43: 69,70 44: 71,72,73 1: 74,75 2:76,77 3:78,79 4: 80, 81 5: 82, 83 6: 84,85 8: 86,87 9: 88,89 10: 90, 91 11: 92, 93 12: 94,95 13: 96,97 14: 98, 99 15: 100, 101 16:102,103 17:104,105 18: 106,107 19:108,109 20: 110,111 21: 112,113 22: 114,115 23:116,117