其中主要的是detection函数,接收的图像为numpy array格式,通道为BGR;输出为检测的文本框,shape为(#boxes, 8),8代表四个点的横纵坐标,从左上角开始顺时针排序。 PAGE是一个简单的网页,创建表单。可在浏览器中进行验证,也可以通过脚本验证,后面详述。 创建镜像 需要先编写Dockerfile文件: gaolijun/pyto
本文记录下如何使用docker部署pytorch文本检测模型到服务器,便于终端调用API。 镜像文件也上传到docker hub了,可以一步步运行起来,不过需要先安装好docker。 docker的安装可参考官方文档。 搭建服务端API 为了便于测试,可以先使用Flask搭建一个简易版本文本检测服务器,服务端创建接口部分代码如下: PAGE = '''<!doctype ...
(3) docker 镜像(Image): 类似与操作系统的ISO 镜像文件,docker hub上有很多大家都封装好的镜像,例如可以直接pull 深度学习镜像。 (4)docker 容器(Container)中无法直接使用主机的GPU,因为主机的GPU使用需要专有的NVIDIA驱动,所以容器要使用GPU硬件必须有个能用驱动的桥梁就是docker-nvidia。镜像(Image)和容器(Conta...
最后只能尝试选择利用docker中配置的ubuntu环境来render github repository中更新的内容，然后再像以前一样，...
Docker Image Using pre-built images You can also pull a pre-built docker image from Docker Hub and run with docker v19.03+ docker run --gpus all --rm -ti --ipc=host pytorch/pytorch:latest Please note that PyTorch uses shared memory to share data between processes, so if torch multiproce...
To keep pace with PyTorch, as of release 2.6, we switched docker images from manylinux to manylinux2_28. In Torch/Torch-TensorRT 2.6, PRE_CXX11_ABI is used for CUDA 11.8 and 12.4, while CXX11_ABI is used for CUDA 12.6. For Torch/Torch-TensorRT 2.7, CXX11_ABI will be used for al...
docker run --gpus all -it ghcr.io/pytorch/pytorch-nightly:latest /bin/bash 开始 简单示例 先来看一个简单示例,注意,GPU 越新速度提升越明显。 import torch def fn(x, y): a = torch.sin(x).cuda() b = torch.sin(y).cuda() return a + b ...
ci-test-huggingface-hub-v0.32.0.rc0-release vas-bert-attn-refactors v4.52-release gemm3-mask vas-fix-opt new_blt vas-bert-attn-refactor fix-modular fixing_gptq_tests change_build_input_tests dep_create_token_type_id v4.52.3 v4.52.2 ...
Explore theHubtoday to find a model and use Transformers to help you get started right away. Installation Transformers works with Python 3.9+PyTorch2.1+,TensorFlow2.6+, andFlax0.4.1+. Create and activate a virtual environment withvenvoruv, a fast Rust-based Python package and project manager. ...
Getting started guides, examples, tutorials, API reference, and other useful information can be found on ourdocumentation page. 🎓 For Students and Educators Deep Lake users can access and visualize a variety of popular datasets through a free integration with Deep Lake's App. Universities can ...