The IDS peak ICV library provides computer vision capabilities for industrial applications.
It is a modern image processing library designed to work with images captured by IDS cameras, enabling the development of solutions for vision tasks.
Resources
- Website: www.ids-imaging.com
- Documentation: https://en.ids-imaging.com/manuals/ids-peak/ids-peak-icv-documentation/en/index.html
- Bug reports: https://en.ids-imaging.com/support.html or email to support@ids-imaging.com
- Customer support: https://en.ids-imaging.com/support.html
Feedback
Feedback is very important for us, as it helps identify customer benefits, collect feature requests, and ensure continuous improvement of our product. Send your feedback via mail to peak-feedback@ids-imaging.com
Features
- Configurable, modular image processing pipeline that converts raw sensor data into high-quality, ready-to-use images.
1 maintainer
Metadata
1 maintainer
Release files for ids-peak-icv 1.6.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distributions (wheels)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ids_peak_icv-1.6.0-py3-none-win_amd64.whl | Python 3 | none | Windows x86-64 | Details |
| ids_peak_icv-1.6.0-py3-none-manylinux_2_27_x86_64.whl | Python 3 | none | Linux glibc 2.27+ x86-64 | Details |
| ids_peak_icv-1.6.0-py3-none-manylinux_2_27_aarch64.whl | Python 3 | none | Linux glibc 2.27+ ARM64 | Details |
Total release size: 33.3 MB
Release files / ids_peak_icv-1.6.0-py3-none-win_amd64.whl
| Download URL | ids_peak_icv-1.6.0-py3-none-win_amd64.whl |
|---|---|
| Size | 11.6 MB |
| Tags | Python 3 Windows x86-64 |
|
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.10.14
|
Release files / ids_peak_icv-1.6.0-py3-none-manylinux_2_27_x86_64.whl
| Download URL | ids_peak_icv-1.6.0-py3-none-manylinux_2_27_x86_64.whl |
|---|---|
| Size | 11.6 MB |
| Tags | Linux glibc 2.27+ x86-64 Python 3 |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.10.14
|
Release files / ids_peak_icv-1.6.0-py3-none-manylinux_2_27_aarch64.whl
| Download URL | ids_peak_icv-1.6.0-py3-none-manylinux_2_27_aarch64.whl |
|---|---|
| Size | 10.2 MB |
| Tags | Linux glibc 2.27+ ARM64 Python 3 |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.10.14
|
