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
1 maintainer
Release files for graph-tensor 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| graph-tensor-0.1.0.tar.gz | 8.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| graph_tensor-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 23.8 kB
Release files / graph-tensor-0.1.0.tar.gz
| Download URL | graph-tensor-0.1.0.tar.gz |
|---|---|
| Size | 8.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / graph_tensor-0.1.0-py3-none-any.whl
| Download URL | graph_tensor-0.1.0-py3-none-any.whl |
|---|---|
| Size | 15.4 kB |
| Tags | Python 3 |
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twine/3.1.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.7.4
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