FSCT
FSCT copied to clipboard
SKrisanski
TypeError: 'numpy.float64' object cannot be interpreted as an integer
I ran in Windows 10 Anaconda. try to ues las data from Test data TypeError: 'numpy.float64' object cannot be interpreted as an integer Do you have any suggestion ?
FSCT-main) C:\FSCT\scripts>python run.py Current point cloud being processed: C:/FSCT/data/test/example.las Using default number of CPU cores (all of them). Processing using 16 / 16 CPU cores. Loading file... C:/FSCT/data/test/example.las Saving file: C:\FSCT\data\test/example_FSCT_output/working_point_cloud.las Saved. Pre-processing point cloud... Preprocessing took 4.8439555168151855 s Preprocessing done
Is CUDA available? True
Performing inference on device: cuda
0/108
2/108
4/108
6/108
8/108
10/108
12/108
14/108
16/108
18/108
20/108
22/108
24/108
26/108
28/108
30/108
32/108
34/108
36/108
38/108
40/108
42/108
44/108
46/108
48/108
50/108
52/108
54/108
56/108
58/108
60/108
62/108
64/108
66/108
68/108
70/108
72/108
74/108
76/108
78/108
80/108
82/108
84/108
86/108
88/108
90/108
92/108
94/108
96/108
98/108
100/108
102/108
104/108
106/108
108/108
Loading file... C:/FSCT/data/test/example_FSCT_output/working_point_cloud.las
Choosing most confident labels...
Saving file: C:/FSCT/data/test/example_FSCT_output/segmented.las
Saved.
Semantic segmentation took 37.000956535339355 s
Semantic segmentation done
Loading segmented point cloud...
Loading file... C:/FSCT/data/test/example_FSCT_output/segmented.las
Making DTM...
DTM Done
Saving file: C:/FSCT/data/test/example_FSCT_output/DTM.las
Saved.
Plot area is approximately 0.003600000000003154 ha
Getting heights above DTM...
Saving file: C:/FSCT/data/test/example_FSCT_output/terrain_points.las
Saved.
Saving file: C:/FSCT/data/test/example_FSCT_output/stem_points.las
Saved.
Saving file: C:/FSCT/data/test/example_FSCT_output/vegetation_points.las
Saved.
Saving file: C:/FSCT/data/test/example_FSCT_output/cwd_points.las
Saved.
Saving file: C:/FSCT/data/test/example_FSCT_output/segmented_cleaned.las
Saved.
Post-processing took 1.8837203979492188 seconds
Post processing done.
Loading file... C:/FSCT/data/test/example_FSCT_output/stem_points.las
stempoints ['x', 'y', 'z', 'red', 'green', 'blue', 'label', 'height_above_DTM']
Loading file... C:/FSCT/data/test/example_FSCT_output/DTM.las
Loading file... C:/FSCT/data/test/example_FSCT_output/terrain_points.las
Loading file... C:/FSCT/data/test/example_FSCT_output/vegetation_points.las
Saving file: C:/FSCT/data/test/example_FSCT_output/ground_veg.las
Saved.
Loading file... C:/FSCT/data/test/example_FSCT_output/cwd_points.las
Canopy Cover Fraction: 0.7836691410392365
Understory Veg Fraction: 0.8886532343584306
Coarse Woody Debris Fraction: 0.40402969247083775
Making and clustering slices...
0 / 485Traceback (most recent call last):
File "C:\FSCT\scripts\run.py", line 54, in
(FSCT-main) C:\FSCT\scripts>
