Estimate Cn2 from Speckle patterns
Project description
A Python package that uses machine learning to predict turbolence profiles from static patterns
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
speckcn2-0.0.13.tar.gz
(13.0 kB
view details)
Built Distribution
speckcn2-0.0.13-py3-none-any.whl
(14.5 kB
view details)
File details
Details for the file speckcn2-0.0.13.tar.gz.
File metadata
- Download URL: speckcn2-0.0.13.tar.gz
- Upload date:
- Size: 13.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.18
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 01f0da3bb6e8bdf2f757c1dbbf51d87e81d676a1755c026cfb23acc5fbf89792 |
|
| MD5 | b687f208b18b18cf87c5b55ee01e7330 |
|
| BLAKE2b-256 | de1307206826ab169521e9aed461587c9868784eca46f31043d67afaf3765aed |
File details
Details for the file speckcn2-0.0.13-py3-none-any.whl.
File metadata
- Download URL: speckcn2-0.0.13-py3-none-any.whl
- Upload date:
- Size: 14.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.18
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 053a35a871b80166d6350f75a90ae6891c8b82ddfd9d657aa36fc7f005fe44cf |
|
| MD5 | 2aefdf3ebc85159c5146390686612721 |
|
| BLAKE2b-256 | 4b32dceea93bf97c838abbcfca7cfead71741346fc08c606a126673fb60c194c |
