Witryna22 lip 2015 · Hosting FastDL files. The first step is to upload your custom server files to the main server directory. The next step is hosting these files so that clients can get these files at relatively fast speeds. Open up your default FTP program, ex. FileZilla. Login to the FTP server, example is on the left. Connect to the FTP server and continue. Witryna9 lis 2024 · import fastdeploy as fd import cv2 model = fd.vision.detection.YOLOv7("model.onnx") im = cv2.imread("test.jpg") result = model.predict(im) FastDeploy切换后端和硬件 # PP-YOLOE的部署 import fastdeploy as fd import cv2 option = fd.RuntimeOption() option.use_cpu() …
FastDeploy: ⚡️An Easy-to-use and Fast Deep Learning Model …
WitrynaFastDeploy三大特点: 作为全场景高性能部署工具,FastDeploy致力于打造三个特点,与上述提及的三个痛点相对应,分别是全场景、简单易用和极致高效。 01 全场景. 全场景是指FastDeploy的多端多引擎加速部署、多框架模型支持和多硬件部署能力。 多端部署 birch and agate
【AI+农业】苹果医生-叶面病虫害分类-从数据集到Fastdeploy快 …
Witryna9 lis 2024 · fastDeploy. Deploy DL/ ML inference pipelines with minimal extra code. Installation: pip install --upgrade fastdeploy Usage: # Invoke fastdeploy fastdeploy --help # or python -m fastdeploy --help # Start prediction "loop" for recipe "echo_json" fastdeploy --recipe ./echo_json --mode loop # Start rest apis for recipe "echo_json" … Witryna12 paź 2024 · import cv2 import numpy as np import fastdeploy as fd from PIL import Image from collections import Counter def FastdeployOption(device=0): option = fd.RuntimeOption() if device == 0: option.use_gpu() else: # 使用OpenVino推理 option.use_openvino_backend() option.use_cpu() return option ... Witryna13 kwi 2024 · 我们也可以使用 FastDeploy 进行部署。 FastDeploy 是一款全场景、易用灵活、极致高效的AI推理部署工具。 其提供开箱即用的云边端部署体验,支持超过160个文本、视觉、语音和跨模态模型,并可实现端到端的推理性能优化。 birch analysis