darknet
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet ) (by AlexeyAB)
wgpu
Cross-platform, safe, pure-rust graphics api. (by gfx-rs)
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| darknet | wgpu | |
|---|---|---|
| 62 | 195 | |
| 21,434 | 10,910 | |
| - | 4.7% | |
| 7.0 | 9.9 | |
| about 1 month ago | 1 day ago | |
| C | Rust | |
| GNU General Public License v3.0 or later | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
darknet
Posts with mentions or reviews of darknet.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-03-21.
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Anybody building ML models in C++?
YoloV3/4 is C based if that counts: https://github.com/AlexeyAB/darknet
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[D] Fixing the angle of Skewed Paintings, see comments
This is all well-known information, see any (and all!) previous discussions when YOLOv5 comes up. For details: https://github.com/AlexeyAB/darknet/issues/5920
- Viseron 2.0.0 - Self-hosted, local only NVR and AI Computer Vision software.
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How do I train YOLO5 to detect small objects (arial imagery). something like 20-20 pixels or maybe little more? How do I increase resolution and apply augmentation and tiling? Or maybe the YOLO5 is not he best choice for that?
2) YOLOv5 is both slower and less precise than YOLOv4. Why use YOLOv5? Source: https://github.com/AlexeyAB/darknet/issues/5920
- Machine learning Library in C?
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I just realized yolov5 is GPL-3
So my recommendation is you stuck with Darknet/YOLO and use v4 of YOLO. The Darknet framework license is definitely suitable for commercial use: https://github.com/AlexeyAB/darknet/blob/master/LICENSE
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GPL vs MIT.
Still to long. Here's my favourite license: https://github.com/AlexeyAB/darknet/blob/master/LICENSE
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I was excited about YOLOv7, so I built a sharable object detection application with VDP and Streamlit.
When YOLOv7 was out, I built a web app to test it against the classic YOLOv4 and shared it with my team, then deployed it online to share with the community.
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Does reducing the number of classes on YOLOv5 make it faster at inference?
If you're worried about performance, you shouldn't be using YOLOv5 since it is slower (and less accurate!) than YOLOv4. Source: https://github.com/AlexeyAB/darknet/issues/5920
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[D] DarkNet YOLOv4 with CUDA 11.7 in Windows?
I looked around online but I only found this post discussing a related issue, leading me to think there seems to be some sort of compatibility issue going on here. And I think this is the most recent version of the file I am trying to compile located on the exact same folder where my copy is and when I opened it it shows CUDA 11.1 in line 307.
wgpu
Posts with mentions or reviews of wgpu.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-04-23.
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GPU Compute in the Browser at the Speed of Native: WebGPU Marching Cubes
Oh look it's subgroup support landing last week: https://github.com/gfx-rs/wgpu/pull/5301
- 3D and 2D: Testing out my cross-platform graphics engine
- Warp Terminal is now available for Linux
- Linux version of Warp terminal is here
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Building the DirectX shader compiler better than Microsoft?
And wgpu has been doing this for years. Things like descriptor indexing are not exposed to the web but used by Rust (mostly) engines on native.
https://wgpu.rs/
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New Renderers for GTK
If they used https://wgpu.rs/ they would get directx and metal for free (:
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Show HN: WebGPU Particles Simulation
IIRC it was delayed multiple times. I think the first intent to ship from chrome was before 100 but they kept pushing it off. Firefox still does not support it. There are projects like wgpu[0] that wrap provide a higher level API and I have used some projects using it with no issues. WFIW I didn't see any issue with OP's demo either.
[0] https://github.com/gfx-rs/wgpu
- Deno 1.39: The Return of WebGPU
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How do I become a graphics programmer? – A guide from AMD Game Engineering team
wgpu, the Rust WebGPU implementation is the bee's knees. https://wgpu.rs/ You can use it beyond the web.
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There is anything like wgpu.rs for Zig?
There is anything like wgpu.rs for Zig? wgpu.rs is an abstraction on top of Vulkan, Metal, DirectX, etc...
What are some alternatives?
When comparing darknet and wgpu you can also consider the following projects:
yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
vulkano - Safe and rich Rust wrapper around the Vulkan API
tensorflow-yolov4-tflite - YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite
tauri - Build smaller, faster, and more secure desktop applications with a web frontend.
tensorflow-yolo-v3 - Implementation of YOLO v3 object detector in Tensorflow (TF-Slim)
glow - GL on Whatever: a set of bindings to run GL anywhere and avoid target-specific code
efficientdet-pytorch - A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights
rust-gpu - 🐉 Making Rust a first-class language and ecosystem for GPU shaders 🚧
yolor - implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)
bevy - A refreshingly simple data-driven game engine built in Rust
darknet_ros - YOLO ROS: Real-Time Object Detection for ROS
bgfx - Cross-platform, graphics API agnostic, "Bring Your Own Engine/Framework" style rendering library.