Version: [5186] Aerial LiDAR Classifier 1.0.2 Experimental

1.0.2
- Fix: Linux install failed at the venv pre-flight check with
"error while loading shared libraries: libpython3.12.so.1.0:
cannot open shared object file" on every distro that uses
python-build-standalone (i.e. all of them). The
`python -m venv --copies` flag copies the standalone python3
binary into venv/bin/ but does NOT copy the libpython next
to it (venv has no notion that python-build-standalone
ships libpython as a separate file). After the copy, the
binary's RPATH=$ORIGIN/../lib resolves to an empty
venv/lib/ and every invocation dies. `--copies` was added
to dodge Windows AV quarantine of the redirector launcher.
It is now applied only on Windows; Linux and macOS use
symlinks (the default), which point back at the standalone
tree so the RPATH lookup still finds libpython.
- Fix: "Use GPU" checkbox stayed unchecked across QGIS sessions
after a fresh install. The dock's closeEvent persisted the
checkbox state even when the GPU probe had forced it off
(torch not yet importable, or CUDA wheel/driver mismatch
during the cu128 -> cu118 cascade). The False stuck and left
users silently on CPU on the next launch. The plugin now
only persists the GPU preference when the user could
actually choose it (i.e. the checkbox is enabled), and a
one-time settings migration resets the stale False on first
launch so existing v1.0.1 users get GPU back automatically.
- Fix: streaming I/O no longer silently drops the trailing
partial chunk on very large LAS files. v1.0.1 skipped the
last few thousand points whenever laspy hit
"buffer size must be a multiple of element size" at EOF.
The chunk loop now uses read_points(n) directly and falls
back to a raw-byte recovery path that decodes every
whole-point-record left on disk, so the streaming output
has the same point count as the input.
- Polish: trimmed the long About text in the QGIS Plugin
Manager so the rating widget is visible without scrolling.
1.0.1
- Fix: corporate SSL inspection blocking the install. uv now
uses the OS native TLS (--native-tls) so Windows-installed
corporate CAs are trusted, and download.pytorch.org is in
the allow-insecure-host list alongside pypi.org and
files.pythonhosted.org. Same flag added to the pip code path
via --trusted-host.
- Fix: Linux first-install failed at ensurepip step because
python-build-standalone Linux tarballs do not ship the
bundled pip wheel. The venv is now created with --without-pip
(we use uv for all package installs anyway).
- Fix: CUDA wheel selection now cascades through cu128 -> cu126
-> cu124 -> cu121 -> cu118 instead of giving up at the first
driver-version miss. Recovers GPU acceleration for NVIDIA
drivers older than 550.
- Fix: cap torch version per cuda index (cu118/cu121 -> torch
<2.6, cu124 -> torch <2.8) so uv no longer picks the latest
+cpu wheel from the cuda index instead of the latest +cuXXX.
- Add: install marker recording the plugin version that built
the venv. On version mismatch the Setup dock reopens with a
one-click Reinstall that wipes the stale venv automatically.
- Add: classification-coloured 3D renderer auto-attached to
loaded layers so the 3D Map View renders points in 3D out of
the box.
1.0.0
- Initial public release on the QGIS plugin repository
- 3D SegFormer (UrbanFiltering, TreeAIBox / NRCan) integration
- QGIS Processing algorithm + provider (Toolbox, Modeler, qgis_process
CLI)
- Isolated per-user venv dependency installer (PyTorch CPU /
CUDA 12.1 / 12.4 / 12.6 / 12.8), compute-capability- and
driver-version-aware wheel selection
- Background QgsTask with progress and cancellation
- LAS / LAZ / COPC input; LAS or LAZ output (matches input)
- Spatial tiling and streaming I/O for files larger than RAM
- Optional automatic loading of results as point-cloud layers
- SHA-256 verification of downloaded model weights
- Network calls go through QgsBlockingNetworkRequest (proxy /
auth / certificates honoured per QGIS plugin guidelines)

yes

Kharroubi

2026-05-19T14:33:33.089179+00:00

3.34.0

3.99.0

None

yes

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