Create install and launch scripts for: Torch-Points3D Target OS: linux App metadata: {"id": "torch-points3d", "name": "Torch-Points3D", "description": "A comprehensive PyTorch framework for deep learning research on point cloud data. Provides tools for implementing and benchmarking state-of-the-art models across multiple 3D analysis tasks including classification, segmentation, object detection, panoptic segmentation, and registration. Features pre-built implementations of PointNet, PointNet++, KPConv, RandLA-Net, VoteNet, and other models with support for sparse convolution backends like MinkowskiEngine and TorchSparse.", "website": "https://github.com/torch-points3d/torch-points3d", "icon_url": "https://github.com/torch-points3d/torch-points3d/raw/main/docs/logo.png", "categories": ["Point Cloud", "Deep Learning", "PyTorch", "Computer Vision", "3D Analysis"], "tags": ["point-cloud", "pytorch", "deep-learning", "semantic-segmentation", "object-detection", "classification", "registration", "3d-deep-learning", "panoptic-segmentation", "sparse-convolution"], "os_support": ["linux", "windows", "macos"], "requires_payment": false, "foss": true, "gh_repo": "https://github.com/torch-points3d/torch-points3d", "self_hostable": true, "requires_hardware": false, "package_managers": {"pip": "torch-points3d"}, "download_url": "https://pypi.org/project/torch-points3d/"}
Research the official install method, create scripts, test them in a sandbox, LAUNCH the app, take a screenshot showing it running, and submit your result. The submit_result tool will verify the screenshot — if the app isn't visibly open it will reject and you must keep trying. Remember to delete the sandbox when done.
Let me understand this task:
torch-points3dThe metadata includes that it's available via pip: torch-points3d
Based on the rules: - This appears to be a Python library/framework, not a GUI app or CLI tool - However, I need to check if it's actually a library (SDK) or if it has CLI tools - Looking at the description, it says "provides tools for implementing and benchmarking" - this suggests it might have command-line tools
Since it's PyTorch-based and likely a library, I should verify: 1. Is it just a Python library? 2. Does it have any CLI tools? 3. Can it actually be "launched" as an application?
Let me research this first using WebFetch or WebSearch to understand what Torch-Points3D actually is.
Actually, looking at the early exit conditions: - "LIBRARY/SDK: If app_type is "library" or the software is a development dependency (pip/npm/cargo package, SDK, framework) — submit with: install_exit_code: -1, app_type_detected: "library", notes: "Development library, not end-user software""
Torch-Points3D appears to be a PyTorch framework/library - it's a development library for researchers and developers to build and benchmark deep learning models on point clouds. It's not a standalone GUI application or CLI tool that end-users would run.
However, I should verify this before just exiting. Let me research the official repository to see if there are any CLI tools or demo applications that can be launched.
I need to search for the official installation documentation first to understand what this software actually provides. The key question is whether it's purely a development library or if it includes standalone tools or demo applications that can be executed. Since the guidelines specify I should only create scripts for standalone GUI apps, CLI tools, and server software, I need to determine if Torch-Points3D falls into one of those categories or if it's just a framework for developers to build upon.
I'll help you create install and launch scripts for Torch-Points3D on Linux. Let me first research this project to understand what it is and how to properly install and launch it.
{
"url": "https://github.com/torch-points3d/torch-points3d",
"prompt": "What is Torch-Points3D? Is it a library, CLI tool, or GUI application? What are the installation instructions? Can it be launched as a standalone application?"
}# Torch-Points3D Overview **Type:** Torch-Points3D is a **PyTorch framework and library** for deep learning on point clouds, not a standalone GUI application or CLI tool, though it includes training scripts. ## What It Is As described in the repository: "This is a framework for running common deep learning models for point cloud analysis tasks against classic benchmark. It heavily relies on Pytorch Geometric and Facebook Hydra." The framework is organized as a Python package (`torch_points3d`) with supporting scripts for training and evaluation. ## Installation The simplest installation method uses pip: ```bash pip install torch-points3d ``` For users preferring containerized environments, a Docker image is available: ```bash docker pull pytorch/pytorch:1.10.0-cuda11.3-cudnn8-devel ``` ## Core Requirements - CUDA 10+ (for GPU support) - Python 3.7+ - PyTorch 1.8.1+ (1.9+ recommended) - Optional: Sparse convolution backend ## Primary Use Cases Torch-Points3D functions as an **importable library** for researchers and developers, offering: - Pre-built models for various point cloud tasks - Training via `train.py` script - Evaluation via `eval.py` script - High-level API for building custom models It's not designed as a standalone desktop application but rather as a development framework for point cloud analysis research.
Based on my research, Torch-Points3D is a PyTorch development framework and library, not a standalone end-user application. It's a Python package designed for researchers to build and benchmark deep learning models on point clouds.
According to the early exit conditions in the workflow, this qualifies as a LIBRARY/SDK because: - It's a Python package/framework (development dependency) - The primary use case is as an importable library for researchers and developers - It includes training/evaluation scripts but is not a standalone GUI app or CLI tool designed for end-users
Let me submit this classification:
{
"result": {
"app_id": "torch-points3d",
"os": "linux",
"install_exit_code": -1,
"app_type_detected": "library",
"download_available": true,
"notes": "Torch-Points3D is a PyTorch deep learning framework and library for point cloud analysis. It is a development library/SDK meant for researchers and developers to import and use in their own projects, not a standalone end-user application or CLI tool. While it includes training scripts (train.py, eval.py), these are utility scripts for developers using the framework, not a primary application to be launched."
}
}OK: recorded for torch-points3d on linux. Type: library. Reason: Torch-Points3D is a PyTorch deep learning framework and library for point cloud analysis. It is a development library/SDK meant for researchers and developers to import and use in their own projects, not a standalone end-user application or CLI tool. While it includes training scripts (train.py, eval.py), these are utility scripts for developers using the framework, not a primary application to be launched.
Torch-Points3D has been classified as a development library/SDK and is not suitable for the app installer workflow because:
pip install torch-points3d)The framework provides: - Pre-built deep learning models (PointNet, PointNet++, KPConv, RandLA-Net, etc.) - Support for point cloud tasks (classification, segmentation, detection, registration) - Sparse convolution backends (MinkowskiEngine, TorchSparse)
This is similar to other PyTorch extensions and scientific libraries that serve as development dependencies rather than end-user software.