Python Bindings Reference - Stable¶
Version 1.4.23700
Getting Started¶
Start by downloading the correct version of the python bindings library.
Alternatively, you can add the path to the directory containing the python bindings library to your PYTHONPATH environment variable.
You may also need to add this directory to your LD_LIBRARY_PATH environment variable.
The SDK must first be configured to your desired settings. Consult the general section for the various configuration options.
Python Bindings (Stable) - Contents:
- General
- License Validation
- Input Image
- Face Detection
- 1 to 1 Face Recognition
- 1 to N Identification
- Object Detection
- Spoof Detection
- Body Pose Estimation
- Blink Detection
- Mask Detection
- Eye glasses Detection
- Environment Variables
- Frequently Asked Questions
- How many threads does the SDK use for inference?
- How can I reduce the number of threads used by the SDK?
- How can I run inference with multiple instances of the SDK on a single CPU?
- How can I increase throughput?
- Is the SDK threadsafe?
- What architecture should I use when I have multiple camera streams producing lots of data?
- What is the difference between the static library and the dynamic library?
- What hardware does the GPU library support?
- What is the TensorRT engine file and what is it used for?
- Why is my license key not working with the GPU library?
- Why does the first call to an inference function take much longer than the subsequent calls?
- Why was setImage replaced by preprocessImage?
- How do I use the python bindings for the SDK?
- How do I choose a similarity threshold for face recognition?
- What are the differences between the face recognition models?
- Are Faceprints compatible between models?
- How can I upgrade my collection if is filled with Faceprints from a deprecated model?
- What is the difference between similarity score and match probability?
- How do createDatabaseConnection and createLoadCollection work?
- Why are no faces being detected in my large images?
- How can I speed up face detection?
- What does the frVectorCompression flag do? When should I use it?
- What does a typical 1 to N face recognition pipeline involve?
- Changelog
- v1.4: December 29, 2022
- v1.3: October 13, 2022
- v1.2: July 22, 2022
- v1.1: June 10, 2022
- v1.0: May 10, 2022
- v0.33: November 15, 2021
- v0.32: October 15, 2021
- v0.31: October 15, 2021
- v0.30: September 24, 2021
- v0.29: September 13, 2021
- v0.28: August 18, 2021
- v0.27: August 2, 2021
- v0.26: July 6, 2021
- v0.25: June 22, 2021
- v0.24: June 8, 2021
- v0.23: May 27, 2021
- v0.22: May 12, 2021
- v0.21: May 4, 2021
- v0.20: April 26, 2021
- v0.19: April 14, 2021
- v0.18: March 29, 2021
- v0.17: March 11, 2021
- v0.16: February 25, 2021
- v0.15: February 16, 2021
- v0.14: January 25, 2021
- v0.13: January 15, 2021
- v0.12: January 4, 2021
- v0.11: December 23, 2020
- v0.10: December 11, 2020
- v0.9: November 20, 2020
- v0.8: November 9, 2020
- v0.7: August 14, 2020
- v0.6: July 7, 2020
- Previous Stable Releases
- 1.3.21916
- 1.2.20713
- 1.1.19673
- 1.0.19187
- 1.0.18283
- 0.33.14634
- 0.33.13850
- 0.32.13387
- 0.32.13359
- 0.32.13313
- 0.30.12706
- 0.29.12214
- 0.29.12111
- 0.28.11386
- 0.27.10876
- 0.26.10390
- 0.25.10099
- 0.24.9786
- 0.24.9740
- 0.23.9508
- 0.23.9476
- 0.22.9292
- 0.22.9196
- 0.21.8922
- 0.20.8553
- 0.19.8416
- 0.18.7976
- 0.17.7745
- 0.17.7722
- 0.16.7561
- 0.16.7542
- 0.15.7233
- 0.15.7198
- 0.15.7184
- 0.14.6743
- 0.14.6732
- 0.14.6709
- 0.14.6699
- 0.13.6676
- 0.13.6670
- 0.13.6500
- 0.12.6330
- 0.12.6300
- 0.11.6229
- 0.10.5855
- 0.10.5732
- 0.9.5131
- 0.8.4786
- 0.7.3005