===============
This is a wrapper for the program xNormal that allows for easy scripting and automation.
It is licensed under BSD
For any issues feel free to contact me at:
contact@daniel-holden.com
Basic Usage
-----------
The below generates a normal map and ambient occlusion map for the piano meshes.
```python
import xNormal
xNormal.run("piano_high.obj", "piano_low.obj", "piano.png",
width=256, height=256, gen_normals = True, gen_ao = True)
```
Extended Usage 1
----------------
The belows shows some more features.
First the path is set. By default the wrapper assumes xNormal.exe is in the PATH variable.
Seconly it generates a normal map with a switch coordinate system and an ao map with fewer rays and jitter. Finally is generates a convexity map.
For a full list of options have a look in the source code where they are listed and easy to see.
Finally it stores the errorcode of xNormal in case of something being wrong.
```python
import xNormal
xNormal.path = "C:\\Program Files (x86)\\Santiago Orgaz\\xNormal 3.17.13\\x64\\xNormal.exe"
err = xNormal.run("piano_high.obj", "piano_low.obj", "piano.png", width = 256, height = 256,
gen_normals = True, normals_x = "+X", normals_y = "-Z", normals_z = "+Y",
gen_ao = True, ao_rays = 64, ao_jitter = True,
gen_convexity = True, convexity_scale = 0.75)
```
Extended Usage 2
----------------
Scripting xNormal goes via the form of supplying it with a configuration file. These can be generated and saved for later use.
To build a configuration file __xNormal.config__ it must be supplied with a list of high mesh options, a list of low mesh options and a list of generation options.
```python
import xNormal
high_config = xNormal.high_mesh_options("piano_high.obj", scale = 2.0)
low_config = xNormal.low_mesh_options("piano_low.obj", scale = 2.0)
generation_config = xNormal.generation_options("piano.png", gen_normals = True)
config = xNormal.config([high_config], [low_config], generation_config)
f = open("later.xml", 'w')
f.write(config)
f.close()
```
Metadata
Release files for xNormal 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 | Provenance | |
|---|---|---|---|---|
| xNormal-1.0.zip | 6.0 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| xNormal-1.0.win32.exe | Details |
Total release size: 208.2 kB
Release files / xNormal-1.0.zip
| Download URL | xNormal-1.0.zip |
|---|---|
| Size | 6.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
9dc70a46499435dbbc425351d47237e50f4f11fcb84324132d69e0d36a384a4f
|
|
BLAKE2b-256 checksum How to use checksums |
6ce9b23b7a443a5a2a2808b3674d500449fa70e13687a787e497624e1c7b369d
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Release files / xNormal-1.0.win32.exe
| Download URL | xNormal-1.0.win32.exe |
|---|---|
| Size | 202.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
732bc981563f57f5445dd4ba7b2cd2a76895c59a65df708e99652e0421f7be56
|
|
BLAKE2b-256 checksum How to use checksums |
fb53b10e67bbc1a68d7985d68e7f1662990209a417df0ed9e7134d7f1f93942b
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Security for xNormal 1.0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.