Skip to main content

Python Stereo Digital Image Correlation Toolbox.

Project description

pysdic

Description

Python Stereo Digital Image Correlation Toolbox.

All input arrays are automatically converted to numpy.float64 so that every calculation is performed in double‑precision, guaranteeing numerical stability throughout the library.

Authors

Installation

Install with pip

pip install pysdic
pip install git+https://github.com/Artezaru/pysdic.git

Clone with git

git clone https://github.com/Artezaru/pysdic.git

License

Copyright 2025 Artezaru

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pysdic-1.3.2.tar.gz (5.3 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pysdic-1.3.2-py3-none-any.whl (408.6 kB view details)

Uploaded Python 3

File details

Details for the file pysdic-1.3.2.tar.gz.

File metadata

  • Download URL: pysdic-1.3.2.tar.gz
  • Upload date:
  • Size: 5.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.19

File hashes

Hashes for pysdic-1.3.2.tar.gz
Algorithm Hash digest
SHA256 0fbd722402ab09cafef7a50aea48c102791bf5fa01f0c950836f0a8b179e5802
MD5 ff261526181bc26b30938db03c661a9b
BLAKE2b-256 15a24316ac1e9b4f7086883818576bb003d50a69aa0cab4c6ed46c9d1a818910

See more details on using hashes here.

File details

Details for the file pysdic-1.3.2-py3-none-any.whl.

File metadata

  • Download URL: pysdic-1.3.2-py3-none-any.whl
  • Upload date:
  • Size: 408.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.19

File hashes

Hashes for pysdic-1.3.2-py3-none-any.whl
Algorithm Hash digest
SHA256 859b37e0a83a2bf8bc0e3b80e3f469706e9b3de3e5817c9b95db367a158759e0
MD5 2d5dde3e09164802d2970ab053cb6558
BLAKE2b-256 6b05ebfdcc5457c04efa4b0de846254a341c59acf7ee20f47fb5cccbe84493b7

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page