tensorrtx
bevy_retro
tensorrtx | bevy_retro | |
---|---|---|
3 | 5 | |
6,584 | 294 | |
- | 0.3% | |
8.4 | 4.0 | |
6 days ago | 7 months ago | |
C++ | Rust | |
MIT License | GNU General Public License v3.0 or later |
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tensorrtx
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A Three-pronged Approach to Bringing ML Models Into Production
In terms of the latter, this is quite common when employing non-standard SOTA models. You may discover a variety of TensorRT implementations on the web if you want to use popular models—for example, in the project where we needed to train an object-detection algorithm on Rutorch and deploy it on Triton, we used many cases of PyTorch -> TensorRT -> Triton. The implementation of the model on TensoRT was taken from here. You may also be interested in this repository, as it contains many current implementations supported by developers.
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Dall-E 2
I'll try them out. I have an RTX 2070, which apparently supports fp16. But it only has 8GB RAM.
I used the instructions here to check: https://github.com/wang-xinyu/tensorrtx/blob/master/tutorial...
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Increasing usb cam FPS with Yolov5 on a Jetson Xavier NX?
Optimize your model using TensorRT. There is a good implementation here: https://github.com/wang-xinyu/tensorrtx/tree/master/yolov5
bevy_retro
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Many reasons to always read the LICENSE
https://github.com/katharostech/bevy_retrograde/blob/master/LICENSE.md section 6.2
- Katharostech/Bevy_retrograde Licensing Issue
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Dall-E 2
There are programming projects[1] out there that use licenses to prevent people from using projects in ways the authors don't agree with. You could also argue that GPL does the same thing (prevents people from using/distributing the software in the way they would like).
Whether you consider it moral doesn't seem relevant, only to respect the wishes of the author of such programs.
[1] https://github.com/katharostech/bevy_retrograde/blob/master/...
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yo guys, if you are an indie developer and you buy some 3d models what do you have to do with the licenses? do I have to include them in the game or something?
A "copyleft" licence such as GPL requires any software that uses it to also be licensed under GPL or equivalent. Then there's more esoteric licences such as Katharos.
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5 stages of cargo
speaking of, check the lisence on this bad boy: https://github.com/katharostech/bevy_retro
What are some alternatives?
TensorRT - NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.
rend3 - Easy to use, customizable, efficient 3D renderer library built on wgpu.
tensorflow-yolov4-tflite - YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite
bevy_tilemap - Tilemap with chunks for the Bevy game engine.
v-diffusion-pytorch - v objective diffusion inference code for PyTorch.
bevy - A refreshingly simple data-driven game engine built in Rust
dalle-mini - DALL·E Mini - Generate images from a text prompt
dalle-2-preview
gpt-3 - GPT-3: Language Models are Few-Shot Learners
SegmentationCpp - A c++ trainable semantic segmentation library based on libtorch (pytorch c++). Backbone: VGG, ResNet, ResNext. Architecture: FPN, U-Net, PAN, LinkNet, PSPNet, DeepLab-V3, DeepLab-V3+ by now.
community-events - Place where folks can contribute to 🤗 community events