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Meshroom VS assertpy

Compare Meshroom VS assertpy and see what are their differences

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Meshroom logo Meshroom

Meshroom is a free, open-source 3D Reconstruction Software based on the AliceVision framework.

assertpy logo assertpy

A straightforward assertion library for Python.
  • Meshroom Landing page
    Landing page //
    2023-07-27
  • assertpy Landing page
    Landing page //
    2022-11-06

Meshroom features and specs

  • Free and Open Source
    Meshroom is available for free and the source code is open, allowing users to modify and distribute the software under the terms of the license.
  • User-Friendly Interface
    The software features an intuitive graphical user interface that makes it accessible to beginners while still offering advanced options for experienced users.
  • Integration with AliceVision
    Meshroom integrates seamlessly with AliceVision, a photogrammetric computer vision framework, ensuring high-quality and accurate 3D reconstructions.
  • Cross-Platform Support
    The software is available for multiple operating systems, including Windows and Linux, making it versatile for different user environments.
  • Customizable Workflow
    Meshroom allows users to customize the photogrammetry workflow by modifying the node-based system, providing flexibility in how reconstructions are processed.

Possible disadvantages of Meshroom

  • High System Requirements
    The software requires a powerful computer with a high-end GPU and significant RAM to efficiently process large datasets, which might be a limitation for some users.
  • Steep Learning Curve for Advanced Features
    While the basic functionalities are user-friendly, mastering advanced features and custom workflows can be challenging and may require a steep learning curve.
  • Limited Documentation
    The available documentation and tutorials are not as comprehensive as some other commercial software, which might make it harder for users to troubleshoot and fully utilize all features.
  • Long Processing Times
    Processing large datasets can take a considerable amount of time, as the software requires extensive computational resources to generate high-quality reconstructions.
  • Lack of Support for Non-Standard Cameras
    Meshroom performs best with traditional DSLR or mirrorless cameras and may not support non-standard cameras as effectively, limiting its usability in some scenarios.

assertpy features and specs

  • Fluent API
    Assertpy offers a fluent API that makes assertions more readable and expressive, enabling developers to write assertions in a natural language style that is easy to understand.
  • Chainable Assertions
    It allows for chainable assertions, enabling multiple checks to be performed in a single line of code, thereby reducing verbosity and enhancing clarity.
  • Comprehensive Assertion Methods
    The library provides a wide range of built-in assertion methods, catering to various types of data validations, such as checking for size, type, value, and more.
  • Extensibility
    Assertpy supports extending its functionality by defining custom assertions, allowing developers to tailor it to their specific needs.
  • Pythonic
    Designed with Pythonic principles in mind, Assertpy fits seamlessly into Python projects, enabling idiomatic and consistent code style.

Possible disadvantages of assertpy

  • Learning Curve
    Developers new to the library may encounter a learning curve due to the distinct approach of using fluent and chainable assertions as opposed to traditional methods.
  • Limited by Python Version
    The library may have limitations in terms of compatibility with older versions of Python, requiring users to ensure their environment is up-to-date.
  • Performance Overhead
    The additional abstraction layer introduced by a fluent interface might introduce some performance overhead, especially in performance-critical or resource-constrained environments.
  • Less Community Support
    Compared to more established testing libraries, Assertpy might have less community support and fewer resources available for resolving issues or getting help.
  • Dependency Management
    Using a third-party library introduces additional dependencies to manage, which could complicate project maintenance and compatibility.

Analysis of Meshroom

Overall verdict

  • Meshroom is generally considered to be a good choice for those looking into photogrammetry, especially for users who appreciate open-source tools and require a cost-effective solution for creating detailed 3D models.

Why this product is good

  • Meshroom is a popular open-source 3D reconstruction software developed by AliceVision. It is favored for its ease of use, powerful photogrammetry capabilities, and ability to generate high-quality 3D models from photographs. Its seamless integration with other software and detailed documentation also contribute to its positive reception among users.

Recommended for

    Meshroom is recommended for hobbyists, researchers, and professionals in fields such as archaeology, architecture, and visual effects who seek an accessible and robust photogrammetry tool. It is also suitable for those with a technical background who are comfortable with open-source software.

Analysis of assertpy

Overall verdict

  • assertpy is a well-regarded, lightweight assertion library for Python that provides a fluent, chainable API for writing readable and expressive test assertions, making it a solid choice for improving test clarity.

Why this product is good

  • Offers a fluent, chainable assertion syntax that makes tests more readable and self-documenting
  • Comprehensive built-in assertions for strings, numbers, lists, dicts, files, dates, and more
  • Produces clear, descriptive failure messages that speed up debugging
  • Lightweight with minimal dependencies and easy to integrate into existing test suites
  • Framework-agnostic, working seamlessly with pytest, unittest, and other test runners
  • Actively maintained open-source project with good documentation and community support

Recommended for

  • Python developers who want more readable and expressive test assertions
  • Teams using pytest or unittest looking to enhance assertion clarity
  • Projects that value descriptive failure messages for faster debugging
  • Developers coming from fluent assertion libraries in other languages (like AssertJ or Chai)
  • QA engineers and testers writing maintainable, self-documenting test code

Meshroom videos

Meshroom -- 3D Models from Photos using this Free Open Source Photogrammetry Software

More videos:

  • Review - MeshRoom Vs Reality Capture with blender
  • Tutorial - FREE MESHROOM A beginner tutorial, introduction to photogrammetry

assertpy videos

No assertpy videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to Meshroom and assertpy)
3D
100 100%
0% 0
Testing
0 0%
100% 100
Architecture
100 100%
0% 0
Python
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Meshroom seems to be more popular. It has been mentiond 17 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Meshroom mentions (17)

  • Gaussian Point Splatting
    > Could I use GS to render my living room as a digital playground to train my vision models in? Yes, its what the autonomous car people are doing. However you might want to do photogrammetry first (https://github.com/alicevision/meshroom opensource) as that produces a mesh which you can use to detect collisions easier. The downside is that transparent objects render really badly. But it is a lot faster to render. - Source: Hacker News / 3 months ago
  • Where is Meshroom SFM source code?
    I know there is this github repo Https://github.com/alicevision/meshroom. Source: over 4 years ago
  • I am new to photogrammetry and have a really stupid question I can't find an answer to on Google.
    You can input your photos into Meshroom using a capable computer or Colab. Even if you're only interested in some of the depthmaps, you'll have to input a full set of images around the object. It will take 2-4 times longer than default but for your usecase you may want to change the 'Downscale' attribute to 1. Source: over 4 years ago
  • Who knows an app for that?
    I know this is r/fossdroid, but I don't think there is any Foss Android application capable of that. However, meshroom came into my mind. It is free and open source with linux support. The downside of it is that you can't create the model right in your phone, but you first need to take many photos to then upload to your computer and process. Source: over 4 years ago
  • 3D modelling just by walking around the object
    This has been used in Video games for the Better part of decade, already. And you can do this yourself without an iphone with lidar, by taking a lot of pictures of an object from various angles, and then use something like meshroom to make a detailed 3d model of it. Source: over 4 years ago
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assertpy mentions (0)

We have not tracked any mentions of assertpy yet. Tracking of assertpy recommendations started around Mar 2021.

What are some alternatives?

When comparing Meshroom and assertpy, you can also consider the following products

Regard3D - Regard3D is a free, multiplatform, open-source structure-from-motion application.

grappa - grappa is an declarative, verbose, and expressive assertion library for Python.

RealityCapture - RealityCapture is a software solution which automatically produces high resolution 3D models from photographs or laser-scans.

Pix4Dmapper - Photogrammetry software for professional drone-based mapping, purely from images.

3DF Zephyr - Next up in my series of Photogrammetry Software Reviews โ€” after ReMake, PhotoScan & RealityCapture โ€” is 3DF Zephyr (including the Free version).

ContextCapture - Acute3D develops breakthrough photogrammetry software solutions to automatically turn photos into photorealistic high resolution 3D models