Webcv is a simple wrapper that implements displaying images, text, and tables via web browsers.
This project is based on quart that requires python 3.7+. For older version of Python, please use webcv-gevent instead.
pip install webcv
import sys
import numpy as np
from webcv import webcv
webcv.head_show("h1", "Test image show")
image = np.random.randint(0, 256, (256, 256, 3), dtype=np.uint8)
webcv.imshow("image", image)
webcv.imshow("resize using webcv", webcv.resize(image, (512, 512)))
# response in 30 seconds
webcv.waitKey(30000)
webcv.head_show("h1", "Test table show")
webcv.table_show("versions", [
["python", "opencv", "webcv"],
[f"version {'.'.join(str(v) for v in sys.version_info)}", cv.__version__, webcv.__version__],
])
webcv.waitKey()By running the code above, your terminal will display something like:
#####################################################################
# #
# The server is running at: http://my-server-ip:4732 #
# #
#####################################################################
* Serving Quart app 'webcv'
* Environment: production
* Please use an ASGI server (e.g. Hypercorn) directly in production
* Debug mode: False
* Running on http://0.0.0.0:4732 (CTRL + C to quit)
Copy paste the address into your browser to view (you may need ssh forward if you are using a remote server):
The project was inspired by a Megvii tool.
MIT License