MiDaS
Graphite
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MiDaS | Graphite | |
---|---|---|
27 | 46 | |
4,089 | 6,831 | |
4.1% | 22.1% | |
2.4 | 9.6 | |
3 months ago | 6 days ago | |
Python | Rust | |
MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
MiDaS
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How to Estimate Depth from a Single Image
The checkpoint below uses MiDaS, which returns the inverse depth map, so we have to invert it back to get a comparable depth map.
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Distance estimation from monocular vision using deep learning
Hi, I have made use of the KITTI dataset for this, and yes it depends on objects of know sizes. Here I have defined the following classes: Car, Van, Truck, Pedestrian, Person_sitting, Cyclist, Tram, Misc, or DontCare and the predictions are pretty accurate for those classes. Even if it's not the same class, it still recognizes the object since I have made use of the coco names dataset here and that is used along with YOLO for object detection. And there are several already implemented projects that make use of deep learning models trained on 2D datasets to predict 3D distance. This was one of my inspirations for this project: https://blogs.nvidia.com/blog/2019/06/19/drive-labs-distance-to-object-detection/ Furthermore, there are well-documented and researched papers like DistYOLO or MiDaS that makes use of deep learning for depth estimation
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OMPR V0.6.10 update
-Added AI image depth generator Create your own depth map image at a click of a button. Using the awesome MIDAS3.1 https://github.com/isl-org/MiDaS as the backend and the model "dpt_beit_large_512" for the highest quality depth map. Video and GIF depth map generators coming out next together with the Depth movie player feature.
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AI that converts a regular 2d image to stereoscopic
It uses MiDaS. That extension may be the most accessible way to use it at home. IDK.
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Idea: training on magiceye images
Here's the project homepage https://github.com/isl-org/MiDaS
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MiDaS v3_1 and DiscoDiffusion
The problem came up after MiDaS updated to version V3_1 on Dec 24th. Although the fix works fine, with the new version there are many changes, which for me produces slightly different results. I would like to able to produce results like before. I still clone the MiDaS repo, but then set it back to the last commit before the changes in december, which is 66882994a432727317267145dc3c2e47ec78c38a.
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File not found error
try: from midas.dpt_depth import DPTDepthModel except: if not os.path.exists('MiDaS'): gitclone("https://github.com/isl-org/MiDaS.git") gitclone("https://github.com/bytedance/Next-ViT.git", f'{PROJECT_DIR}/externals/Next_ViT') if not os.path.exists('MiDaS/midas_utils.py'): shutil.move('MiDaS/utils.py', 'MiDaS/midas_utils.py') if not os.path.exists(f'{model_path}/dpt_large-midas-2f21e586.pt'): wget("https://github.com/intel-isl/DPT/releases/download/1_0/dpt_large-midas-2f21e586.pt", model_path) sys.path.append(f'{PROJECT_DIR}/MiDaS')
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A quick demo to show how structurally coherent depth2img is compared to img2img using Automatic1111.
Cool. The repo for MiDaS is here. https://github.com/isl-org/MiDaS You can see that they partially trained the model on 3D movies Here's a list of the movies that were used to train it. I wonder if they'll be training a MiDaS v 4.0 as things have moved on quite a bit since it was released in Apr 2021?
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Boosting Monocular Depth repo
We present a stand-alone implementation of our Merging Operator. This new repo allows using any pair of monocular depth estimations in our double estimation. This includes using separate networks for base and high-res estimations, using networks not supported by this repo (such as Midas-v3), or using manually edited depth maps for artistic use. This will also be useful for scientists developing CNN-based MDE as a way to quickly apply double estimation to their own network. For more details please take a look here.
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DepthViewer is now live on Steam :)
I'll make the feature to export only the depthmap .png file. If you need the depthmap .png right now you can use the MiDaS python script.
Graphite
- 3D and 2D: Testing out my cross-platform graphics engine
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Canva acquires Affinity, its biggest acquisition, to compete with Adobe
There is also Graphite (https://graphite.rs/) which, unlike Gimp, has a modern architecture and very ambitious goals (Blender for 2D basically).
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Any good beginner open source projects for a guy with a math background?
If you're interested in either computational geometry, layout/packing/constraints, or functional programming language concepts, those are all the math-related concepts that we're currently interacting with for Graphite, a 2D vector graphics editor that's aiming to become the next Blender (but for 2D instead of 3D). If that sounds interesting, I'd love to help get you started if you want to join our Discord and I can explain the math-related work that we need to get done. Cheers!
- Graphite: 2D Raster and Vector Editor
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Things I wish I knew before moving 50K lines of code to React Server Components
Not sure which web-based spreadsheet app you're talking about, because there are many that do use these frameworks. Here's a PS/AI clone built with a Svelte frontend: https://graphite.rs
- Redefining state-of-the-art graphics editing
- Graphite: Open-source raster and vector 2D graphics editor
- Graphite: In-development raster and vector 2D graphics editor that is FOSS
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What’s everyone working on this week (25/2023)?
Wanted to contribute to a good Rust-based project last week, started searching and found a good Reddit thread featuring several great projects. Looked at and found Graphite. I liked the concept though I know almost nothing about graphic design.
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New release for the Rust diffusers crate (Stable Diffusion in Rust + Torch), now with basic ControlNet support!
I'm currently trying to decide on the SD server to deploy with Graphite, both for running locally (with Tauri desktop builds) and for us to host on a server for users.
What are some alternatives?
stable-diffusion-webui-depthmap-script - High Resolution Depth Maps for Stable Diffusion WebUI
egui - egui: an easy-to-use immediate mode GUI in Rust that runs on both web and native
DenseDepth - High Quality Monocular Depth Estimation via Transfer Learning
Method-Draw - Method Draw, the SVG Editor for Method of Action
stablediffusion - High-Resolution Image Synthesis with Latent Diffusion Models
GimelStudio - Non-destructive, node based 2D image editor with an API for custom nodes
deeplearning4j-examples - Deeplearning4j Examples (DL4J, DL4J Spark, DataVec) [Moved to: https://github.com/deeplearning4j/deeplearning4j-examples]
Gimel-Studio - Old repo of the node-based image editor. See https://github.com/GimelStudio/GimelStudio for the next generation of Gimel Studio :rocket:
DiverseDepth - The code and data of DiverseDepth
bevy - A refreshingly simple data-driven game engine built in Rust
Insta-DM - Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency (AAAI 2021)
burn - Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals. [Moved to: https://github.com/Tracel-AI/burn]