image-center
Project description
image-center
图像识别定位某个元素在当前屏幕中的坐标;
在自动化测试中获取到元素坐标之后,可以传入到键鼠工具,从而实现对目标元素的操作。
Documentation: https://linuxdeepin.github.io/image-center
Source Code: https://github.com/linuxdeepin/image-center
安装
pip install image-center
如果想在本机直接使用图像识别,还需要在本机安装OpenCV
sudo apt install python3-opencv
使用说明
截取目标元素图片,将图片保存到某个路径,
图片格式:默认使用PNG格式,支持JPG和JPEG格式;
from image_center import ImageCenter
# Linux and MacOS
ImageCenter.find_image("~/Desktop/test.png")
# Windows
ImageCenter.find_image("D:\\test.png")
返回 test.png
在当前屏幕中的位置。
RPC服务
如果不想在本机安装OpenCV,或者你的机器无法安装OpenCV,可以在服务端安装OpenCV(安装方法和上面一样);
服务端启动方法:
from image_center.server import server
from image_center.conf import setting
setting.PORT = 8889 # 默认端口是8889,可以修改为其他端口;
server()
执行这个代码就可以启动服务了;
客户端使用方法和前面一样,唯一需要配置的是服务端的IP和端口。
from image_center import ImageCenter
from image_center.conf import setting
setting.SERCER_IP = "192.168.2.1" # 服务端IP
setting.PORT = 8889 # 和服务端端口保持一致
# Linux and MacOS
ImageCenter.find_image("~/Desktop/test.png") # test.png是你自己截的图,路径也修改成你自己的路径
# Windows
ImageCenter.find_image("D:\\test.png")
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
image_center-2024.6.5.tar.gz
(13.8 kB
view details)
Built Distribution
File details
Details for the file image_center-2024.6.5.tar.gz
.
File metadata
- Download URL: image_center-2024.6.5.tar.gz
- Upload date:
- Size: 13.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.7.3
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | c6282e41e884f79e16f89259b24b090f9c068098da2f8ce95209251117ea270b |
|
MD5 | abded7c1a37d8c85fdef098c5d3733fd |
|
BLAKE2b-256 | 7f321c57e1e8dbd9e89595f42cfe4ed5616a77becd0c2762247bb310172c04bf |
File details
Details for the file image_center-2024.6.5-py3-none-any.whl
.
File metadata
- Download URL: image_center-2024.6.5-py3-none-any.whl
- Upload date:
- Size: 14.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.7.3
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 191606000bfedfea4b567d67440932039d2a0e9deaaeb8173f468f3c277934e6 |
|
MD5 | 4ae0efe63d9bfa2cf2b825017c54b567 |
|
BLAKE2b-256 | 6b6dc3ef10faf8e538f8fb2920aebff7c9fbaf9a5a82851ea8b433e253deda07 |