A Python Package for Deep Learning on 3D Point Clouds Using PyTorch.
Package Documentation
The documentation of our package is available here.
Project Setup
The setup of our package is described in the documentation.
1 maintainer
Metadata
1 maintainer
Release files for pointtorch 1.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| pointtorch-1.1.0.tar.gz | 44.3 kB | Without provenance | Details for pointtorch-1.1.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| pointtorch-1.1.0-py3-none-any.whl | Python 3 | none | any | Details for pointtorch-1.1.0-py3-none-any.whl |
Total release size: 112.1 kB
Release files / pointtorch-1.1.0.tar.gz
| Download URL | pointtorch-1.1.0.tar.gz |
|---|---|
| Size | 44.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
|
Release files / pointtorch-1.1.0-py3-none-any.whl
| Download URL | pointtorch-1.1.0-py3-none-any.whl |
|---|---|
| Size | 67.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
|
Security for pointtorch 1.1.0
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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