dlibUpper2
dlibUpper2 is a cross-platform software toolkit, representing an enhanced version of the original dlib library. The package is optimized for solving complex tasks in system analysis, machine learning, and high-precision signal processing.
Key Enhancements (v2.0)
- High-Performance Core: C++ level algorithm optimization for accelerated biometric vector processing.
- Extended Signal Processing: An additional abstraction layer designed for real-time streaming data processing.
- Enhanced Stability: Improved multi-threading model that prevents UI freezing during intensive computational tasks.
Installation
The library is distributed as pre-compiled wheel packages and source code.
pip install dlibUpper2
System Requirements
Python 3.6+
C++ Compiler (for building from source)
CMake 3.10+
Technical Overview
dlibUpper2 utilizes modern typing standards and is designed for integration into high-load monitoring systems. The library is fully backward compatible with existing code using standard dlib structures while providing an extended API for specific analytical tasks.
Metadata
Release files for dlibUpper2 2.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| dlibupper2-2.0.2.tar.gz | 12.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dlibupper2-2.0.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 27.2 kB
Release files / dlibupper2-2.0.2.tar.gz
| Download URL | dlibupper2-2.0.2.tar.gz |
|---|---|
| Size | 12.3 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.9.13
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Release files / dlibupper2-2.0.2-py3-none-any.whl
| Download URL | dlibupper2-2.0.2-py3-none-any.whl |
|---|---|
| Size | 14.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.9.13
|