Patches and Minor refactor
🚀 new features
- new progress indicator based on alive_progress
| argument | hint | default |
|---|---|---|
-h or --help |
show help message and exit | |
-V or --version |
show program's version number and exit | |
-v or --verbose |
increase output verbosity | |
-i or --cbid |
force color by id (if color components are parsed) | |
-c or --cfg [PATH] |
path to the config file | auto detect in tree |
-f or --frac [F] * |
fraction of points for downsampling | |
-r or --voxel-size [S] * |
voxel size for downsampling | |
-d or --downsample |
feed back downsample to the saved point cloud | render only |
-s or --save [PATH] |
path to .npy file | do not save scene |
-p or --make-parent |
create parent directories if needed (for --save) |
|
--no-exe |
do not execute the app (if --save) |
|
--only [(<=?N)|(N(-N)?)(,\s*N(-N)?)*] |
only parse some entries of the config file | parse all entries |
python pcv.py --cfg <custom_load>.json5 -vips out/point_cloud.npy -dr10 --only "<=2,4,9-11"loads the json5 config file (but only with entries n°1,2,4,9,10,11), verbose mode, use id to color points, downsample to have 1 point each 10 units and save result into .npy file and create parent directory if needed
json5 model is as follow (note that only x, y and z are mandatory in "pattern", "pattern" and "skip_first_line" can be overwritten in "configs", and that only "file_path" is not set by default):
{
"default": {
"pattern": "{?},{x},{y},{z},{r},{g},{b},{id}",
"skip_first_line": true
},
"configs": [
{
"file_path": "<path to file n°1>.csv",
"source_xyz": [<x1>, <y1>, <z1>]
},
{
"file_path": "<path to file n°2>.csv",
"source_xyz": [<x2>, <y2>, <z2>]
},
...
]
}⚙️ Builds
curl https://github.com/ThomasByr/point-cloud-visualizer/archive/refs/tags/v0.3.7.zip
unzip point-cloud-visualizer-0.3.7.zip -d point-cloud-visualizer
cd point-cloud-visualizerconda env create -f environment.yml
conda activate o3d
# or pip install -r requirements.txt