FastDeploy
tensorRT_Pro
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FastDeploy | tensorRT_Pro | |
---|---|---|
5 | 1 | |
2,705 | 2,381 | |
4.3% | - | |
7.5 | 3.1 | |
12 days ago | 11 months ago | |
C++ | C++ | |
Apache License 2.0 | MIT License |
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.
FastDeploy
- Testing YOLO on Orange Pi 5
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Github-Paddle.js: Run AI models on browsers for computer version.
Refer to this link(https://github.com/PaddlePaddle/FastDeploy/blob/develop/examples/application/js/WebDemo_en.md) for examples and tutorials.
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[P] FastDeploy: Make DL deployment easier and faster!
🔥 2022.10.31:Release FastDeploy release v0.5.0
Repo: https://github.com/PaddlePaddle/FastDeploy
tensorRT_Pro
What are some alternatives?
mmdeploy - OpenMMLab Model Deployment Framework
sahi - Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
TNN - TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework.
TensorRT-For-YOLO-Series - tensorrt for yolo series (YOLOv8, YOLOv7, YOLOv6, YOLOv5), nms plugin support
deepdetect - Deep Learning API and Server in C++14 support for Caffe, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE
YOLOX - YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
jetson-inference - Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
DREAMPlace - Deep learning toolkit-enabled VLSI placement
maps-core - The lightweight and modern Map SDK for Android and iOS
useful-transformers - Efficient Inference of Transformer models
TensorRT - NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.