Skip to main content

Visual Ground

Project description

视觉-文本实体链接使用说明

1. 环境依赖

CUDA版本: 11.7 其他依赖库的安装命令如下:

conda install pytorch torchvision torchaudio pytorch-cuda=11.7 -c pytorch -c nvidia

2. 下载安装

可使用如下命令下载安装算法包:

pip install -U mmkg-mm-entity-linking

3. 使用示例及运行参数说明

from PIL import Image
from mmkg_mm_entity_linking import MMEntityLinking

image = Image.open("path/to/image")
probs = MMEntityLinking().inference(image, ["a dog", "a cat"])

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

ThreeDVG-0.1.9-py3-none-any.whl (142.4 kB view details)

Uploaded Python 3

File details

Details for the file ThreeDVG-0.1.9-py3-none-any.whl.

File metadata

  • Download URL: ThreeDVG-0.1.9-py3-none-any.whl
  • Upload date:
  • Size: 142.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.7

File hashes

Hashes for ThreeDVG-0.1.9-py3-none-any.whl
Algorithm Hash digest
SHA256 854fb6074a6896aef6329a2038303d391319fd725ec2948e38921abd039a79d1
MD5 0da7edc695d21a4e8d0e165ec8c755d4
BLAKE2b-256 4122337596f508c491d47e721cfded136bf38169067c0cb8c8c22e534622340b

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page