A universal graphics library
Project description
Graph
The goal is to build a Tensor-based computer graphics library that focuses on the field of computer vision.
The graphic elements of this project refer to the Canvas of tkinter (Python 3.7 or later). The code implementation principle and the instruction manual can refer to tutorial in this project.
Graph_tensor user manual reference manual.
PyPI support available
You can install the latest version using the following command:
$ pip install graph-tensor
The following command is used when called:
import graph_tensor
Contribution
You are welcome to contribute new code. A detailed description of the package can be found in DeveloperGuide_en or DeveloperGuide_zh.
Reference
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Filename, size | File type | Python version | Upload date | Hashes |
---|---|---|---|---|
Filename, size graph_tensor-0.1.0-py3-none-any.whl (15.4 kB) | File type Wheel | Python version py3 | Upload date | Hashes View |
Filename, size graph-tensor-0.1.0.tar.gz (8.4 kB) | File type Source | Python version None | Upload date | Hashes View |
Close
Hashes for graph_tensor-0.1.0-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | d231ff5057f15c0f309bac50eee7f24a2696bb679ea4dbaf961e3e26fea7d324 |
|
MD5 | 9296a522fb59ec161249ea73391b5f30 |
|
BLAKE2-256 | 39b5627a043f25c1476b0caf2e7918be005de1f980482921a02ddc9d38d7c06c |