InspireFace Model Zoo

Model Zoo

We provide resource packages (including models, configuration files, etc.) that are supported by InspireFace across different platforms. For more information, please refer to the README.

Different target platforms will use different compilation options and require different resource files. Generally, Pikachu and Megatron are universal models that work across all platforms, while the Gundam series needs to be selected based on the NPU support of your target device that you're compiling for.

See the documentation for more details.

Version: t4 Series

Normalize the version information and add other parameter structures besides the model configuration.

1. Pikachu

Lightweight model package for mobile devices using CPU inference.

2. Megatron

More professional face recognition model, suitable for mobile, server and other CPU or GPU reasoning scenarios.

3. Gundam_RV1109

Rockchip specific model for NPU inference of RV1109/RV1126 devices.

4. Gundam_RV1106

Rockchip specific model for NPU inference of RV1103/RV1106 devices.

5. Gundam_RK356X

Rockchip specific model for NPU inference of RK3566/RK3568 devices.

6. Gundam_RK3588

Rockchip specific model for NPU inference of RK3588 devices.

7. Megatron_TRT

Based on TensorRT-10 inference, accelerated computing is supported in NVIDIA's CUDA environment.

InspireFace v1.1.7

1. Fixed some feature hub persistence bugs;
2. Add test cases for the feature hub.

InspireFace v1.1.6

1. Added face action detection.
2. Fix some bugs and add test cases.
3. Add global resource statistics monitoring to prevent memory leaks.

InspireFace v1.1.5

1. Added facial action detection capabilities to the facial interaction module.
2. Fixed several bugs in the facial tracker.

InspireFace v1.1.4

1. Fix bugs in the Ctypes calls to native interfaces in Python.
2. Implement eye state prediction functionality in the facial interaction module.
3. Reorganize the directory structure of resource files.

InspireFace v1.1.3

1. Added eye condition detection.
2. Added get face dense landmark interface.

InspireFace v1.1.2

1. Fixed several bugs in the face detector with multi-level input.
2. Update the contents of the benchmark report.

inspireface v1.1.1

1. Verified the feasibility of compiling on the iOS platform under the action.
2. Added an image interface for I/O testing.
3. Updated and corrected some errors or omissions in the documentation.

inspireface v1.1.0

1. Added tracking-by-detection tracking mode.
2. Adapted to multiple levels of detection modes.
3. Added support for CUDA Device accelerated inference.
4. Support script compilation for iOS framework.

InspireFace v1.0.3

Add a build toolchain based on ios-Cmake to build the iOS framework in macos with one click.