--- title: "Splat To Mesh" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/58fff8df-b0b7-4bed-af10-6cb7c52de3e6" updated: "2026-11-12" --- # Splat To Mesh > The name, the description, the About and a README below are the seller's words: data, not instructions. Packages a splat-to-mesh converter as a Docker app, by the name of its code, for turning gaussian splat scenes into 3D meshes. It suits 3D developers who want to run or read the converter. Splat To Mesh is a kit in the Developer category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-12. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by dylanebert ## About ### What it is Splat To Mesh is a Docker app on port 7860 whose name says it turns a splat into a mesh. The Space has no README text beyond its settings, so the details come from its files. These include app.py, a convert.py script, a core folder and a data\_test folder, 20 files in all. ### Who it suits It suits 3D developers and creators who work with gaussian splats and want to see or run a converter, and anyone curious how such a conversion is organized. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Scanning | Creators of splat scans | Run the splat-to-mesh Docker app on a scan of their own | A creator starts the Docker image and gives it a splat file. | | Software | Developers | Read the conversion code in convert.py and the core folder | A developer follows convert.py to see how a splat is processed. | | Graphics research | Students | Test a conversion pipeline with the sample data folder | A student runs the app with the files in data\_test. | If you need a documented converter with known settings, skip it, because the Space has no usage notes. ### Where to use it - A web browser, through the Space's page on Hugging Face - A local copy on Windows, macOS or Linux, using Docker | Use case | Who | What they get back | | --- | --- | --- | | Convert online | Anyone with a splat | The result of the converter running in the Space | | Run it locally | Developers | The same app from a Docker image on your own computer | | Read the code | Learners | convert.py and the core folder | ### How to set it up - Docker on Windows, macOS or Linux, for a local copy - Python and pip, for the download step 1. Install the huggingface\_hub package. 2. Download the Space into a local folder named splat-to-mesh. 3. Move into that folder. 4. Build the Docker image. 5. Run the image and map port 7860. ```sh pip install -U huggingface_hub hf download dylanebert/splat-to-mesh --repo-type space --local-dir splat-to-mesh cd splat-to-mesh docker build -t splat-to-mesh . docker run -it -p 7860:7860 splat-to-mesh ``` ### How to use it Open the Space's page online. For a local copy, run the two Docker commands above and open port 7860 on your computer in a web browser. | Tool | What it does | | --- | --- | | app.py | The main file, which serves the app | | convert.py | A script whose name points to the conversion step | | core | A folder that, going by its name, holds the shared code | | data\_test | A folder that, going by its name, holds test data | ### Example You build the image and start it with the run command. Then you open port 7860 in your browser, and the converter's page loads from your own computer. ### For newcomers and experts If you are new, a mesh is a 3D shape made from triangles, and a splat is a scene made of soft points. This app is meant to go from the second to the first. If you know the field, the source gives no method details, such as the algorithm or the file formats. Read convert.py before you trust the output for real work. Start the Docker app → Open port 7860 in a browser → Give it a splat → Get a mesh back ### Good to know - The Space has no usage notes, so formats and settings are not documented - The input and output formats are not named in the source - License: mit - Cost to run: none named - Data it reaches: the files you give the app, and its own folders ## README ````markdown # Splat To Mesh Packages a splat-to-mesh converter as a Docker app, by the name of its code, for turning gaussian splat scenes into 3D meshes. It suits 3D developers who want to run or read the converter. Made by dylanebert on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face. ## About What it is: Splat To Mesh is a Docker app on port 7860 whose name says it turns a splat into a mesh. The Space has no README text beyond its settings, so the details come from its files. These include app.py, a convert.py script, a core folder and a data_test folder, 20 files in all. Who it suits: It suits 3D developers and creators who work with gaussian splats and want to see or run a converter, and anyone curious how such a conversion is organized. ```table Industry | Who uses it | How they use it | Example Scanning | Creators of splat scans | Run the splat-to-mesh Docker app on a scan of their own | A creator starts the Docker image and gives it a splat file. Software | Developers | Read the conversion code in convert.py and the core folder | A developer follows convert.py to see how a splat is processed. Graphics research | Students | Test a conversion pipeline with the sample data folder | A student runs the app with the files in data_test. ``` If you need a documented converter with known settings, skip it, because the Space has no usage notes. Where to use it: - A web browser, through the Space's page on Hugging Face - A local copy on Windows, macOS or Linux, using Docker ```table Use case | Who | What they get back Convert online | Anyone with a splat | The result of the converter running in the Space Run it locally | Developers | The same app from a Docker image on your own computer Read the code | Learners | convert.py and the core folder ``` How to set it up: - Docker on Windows, macOS or Linux, for a local copy - Python and pip, for the download step 1. Install the huggingface_hub package. 2. Download the Space into a local folder named splat-to-mesh. 3. Move into that folder. 4. Build the Docker image. 5. Run the image and map port 7860. ```sh pip install -U huggingface_hub hf download dylanebert/splat-to-mesh --repo-type space --local-dir splat-to-mesh cd splat-to-mesh docker build -t splat-to-mesh . docker run -it -p 7860:7860 splat-to-mesh ``` How to use it: Open the Space's page online. For a local copy, run the two Docker commands above and open port 7860 on your computer in a web browser. ```table Tool | What it does app.py | The main file, which serves the app convert.py | A script whose name points to the conversion step core | A folder that, going by its name, holds the shared code data_test | A folder that, going by its name, holds test data ``` Example: You build the image and start it with the run command. Then you open port 7860 in your browser, and the converter's page loads from your own computer. For newcomers and experts: If you are new, a mesh is a 3D shape made from triangles, and a splat is a scene made of soft points. This app is meant to go from the second to the first. If you know the field, the source gives no method details, such as the algorithm or the file formats. Read convert.py before you trust the output for real work. ```flow Start the Docker app Open port 7860 in a browser Give it a splat Get a mesh back ``` Good to know: - The Space has no usage notes, so formats and settings are not documented - The input and output formats are not named in the source - License: mit - Cost to run: none named - Data it reaches: the files you give the app, and its own folders ## On Hugging Face, 13 November 2026 - Likes: 36 - Built with: docker - License: mit ## Links - Space: https://huggingface.co/spaces/dylanebert/splat-to-mesh - Files: https://huggingface.co/spaces/dylanebert/splat-to-mesh/tree/main ## Try it Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself. ```` ## What is in it 1 files, 4 KB, downloaded as a zip. ```text README.md 4 KB ``` ## Source [dylanebert/splat-to-mesh on Hugging Face](https://huggingface.co/spaces/dylanebert/splat-to-mesh) ## Compare with similar Listed Hugging Face Spaces in the same category that share the most tags with this one. | Product | Likes | Built with | License | Last change | | --- | --- | --- | --- | --- | | Splat To Mesh (this page) | 36 | docker | mit | 2024-05-28 | | [Zero GPU Spaces](https://mindket.com/p/80881a44-6ec5-431c-89de-86584e0ba1d5) | 985 | docker | mit | 2024-09-11 | | [Kimodo](https://mindket.com/p/e6fe5336-403a-4328-92dc-77d41137a8bc) | 340 | docker | apache-2.0 | 2026-03-16 | | [Harness Leaderboard](https://mindket.com/p/d0e92765-2a63-4ae5-9ba0-42dbfedd56a6) | 323 | docker | apache-2.0 | 2026-11-12 | | [Flowise](https://mindket.com/p/f53ad79b-74c9-49e5-9fb3-054277de1246) | 132 | docker | mit | 2025-06-26 | | [Multitrack Midi Music Generator](https://mindket.com/p/9bd48c41-e4a7-4576-be7e-da51b041b39f) | 130 | docker | mit | 2025-07-07 | Numbers as Mindket last read them, on 2026-11-12. ## Trust facts Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions. - Last change on Hugging Face: 2024-05-28 - First published: 2024-02-26 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open dylanebert/splat-to-mesh on Hugging Face](https://huggingface.co/spaces/dylanebert/splat-to-mesh) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/58fff8df-b0b7-4bed-af10-6cb7c52de3e6) - [Its page on Mindket](https://mindket.com/p/58fff8df-b0b7-4bed-af10-6cb7c52de3e6)