FastDeploy VS tensorRT_Pro

Compare FastDeploy vs tensorRT_Pro and see what are their differences.

FastDeploy

⚡️An Easy-to-use and Fast Deep Learning Model Deployment Toolkit for ☁️Cloud 📱Mobile and 📹Edge. Including Image, Video, Text and Audio 20+ main stream scenarios and 150+ SOTA models with end-to-end optimization, multi-platform and multi-framework support. (by PaddlePaddle)
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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
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FastDeploy

Posts with mentions or reviews of FastDeploy. We have used some of these posts to build our list of alternatives and similar projects.

tensorRT_Pro

Posts with mentions or reviews of tensorRT_Pro. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing FastDeploy and tensorRT_Pro you can also consider the following projects:

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.