| --- |
| license: unknown |
| --- |
| |
| > Mirror of [tunmxy/InspireFace](https://www.modelscope.cn/models/tunmxy/InspireFace) from ModelScope. All credit to the original authors. Not an official release from them. No license was declared at the source; all rights remain with the original authors. |
|
|
| # InspireFace |
|
|
| [](https://pypi.org/project/inspireface/) |
| [](https://github.com/HyperInspire/InspireFace/releases/latest) |
|
|
| InspireFace is a cross-platform face recognition SDK developed in C/C++, supporting multiple operating systems and various backend types for inference, such as CPU, GPU, and NPU. |
|
|
| - Repository address: |
| - [Stable](https://github.com/deepinsight/insightface/tree/master/cpp-package/inspireface) |
| - [Develop](https://github.com/HyperInspire/InspireFace) |
|
|
| ## Key Features |
|
|
| - **Face Detection & Tracking** - High-precision face detection and real-time tracking |
| - **Face Recognition** - Face feature extraction and comparison |
| - **Landmark Detection** - Accurate facial landmark localization |
| - **Face Attributes** - Age, gender, and emotion recognition |
| - **Liveness Detection** - Silent and cooperative liveness detection |
| - **Mask Detection** - Face mask detection capability |
| - **Quality Assessment** - Face quality evaluation |
| - **Pose Estimation** - Face pose angle estimation |
|
|
| <img src="https://inspireface-1259028827.cos.ap-singapore.myqcloud.com/blogs_box/o-10.gif" width="200" height="200"> |
|
|
| ## Project Origin |
|
|
| InspireFace is derived from the InsightFace project, specifically from the C++ package implementation. |
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|
| **Original Repository**: [https://github.com/deepinsight/insightface/tree/master/cpp-package/inspireface](https://github.com/deepinsight/insightface/tree/master/cpp-package/inspireface) |
|
|
| ## Supported Platforms and Architectures |
|
|
| | No. | Platform | Architecture | Device | **Supported** | Passed Tests | |
| | ------- | -------------------- | --------------------- | -------------------------- | :-----------: | :----------------: | |
| | 1 | **Linux**(CPU) | ARMv7 | - | [](#) | [](#) | |
| | 2 | | ARMv8 | - | [](#) | [](#) | |
| | 3 | | x86/x86_64 | - | [](#) | [](#) | |
| | 4 | **Linux**(Rockchip) | ARMv7 | RV1109/RV1126 | [](#) | [](#) | |
| | 5 | | ARMv7 | RV1103/RV1106 | [](#) | [](#) | |
| | 6 | | ARMv8 | RK3566/RK3568 | [](#) | [](#) | |
| | 7 | | ARMv8 | RK3588 | [](#) | - | |
| | 8 | **Linux**(MNN_CUDA) | x86/x86_64 | NVIDIA-GPU | [](#) | [](#) | |
| | 9 | **Linux**(CUDA) | x86/x86_64 | NVIDIA-GPU | [](#) | [](#) | |
| | 10 | **MacOS** | Intel | CPU/Metal/**ANE** | [](#) | [](#) | |
| | 11 | | Apple Silicon | - | [](#) | [](#) | |
| | 12 | **iOS** | ARM | CPU/Metal/**ANE** | [](#) | [](#) | |
| | 13 | **Android** | ARMv7 | - | [](#) | [](#) | |
| | 14 | | ARMv8 | - | [](#) | [](#) | |
| | 15 | | x86_64 | - | [](#) | [](#) | |
| | 16 | **Android**(Rockchip) | ARMv8 | RK3566/RK3568 | [](#) | [](#) | |
| | 17 | | ARMv8 | RK3588 | [](#) | [](#) | |
| |
| ## Features Support Matrix |
| |
| | Feature | CPU | RKNPU(RV1109/1126) | RKNPU(RV1103/1106) | RKNPU(RK3566/3568/3588) | ANE(MacOS/iOS) | GPU(TensorRT) | |
| | :---: | :---: | :---: | :---: | :---: | :---: | :---: | |
| | Face Detection | [](#) | [](#) | [](#) | [](#) | [](#) | [](#) | |
| | Landmark | [](#) | [](#) | [](#) | [](#) | [](#) | [](#) | |
| | Face Embeddings | [](#) | [](#) | [](#) | [](#) | - | [](#) | |
| | Face Comparison | [](#) | - | - | - | - | - | |
| | Face Recognition | [](#) | [](#) | [](#) | [](#) | - | [](#) | |
| | Alignment | [](#) | - | - | - | - | - | |
| | Tracking | [](#) | [](#) | [](#) | [](#) | [](#) | [](#) | |
| | Mask Detection | [](#) | - | [](#) | [](#) | - | - | |
| | Silent Liveness | [](#) | - | [](#) | [](#) | - | - | |
| | Face Quality | [](#) | [](#) | [](#) | [](#) | [](#) | [](#) | |
| | Pose Estimation | [](#) | [](#) | [](#) | [](#) | [](#) | [](#) | |
| | Face Attribute | [](#) | - | [](#) | [](#) | - | [](#) | |
| | Cooperative Liveness | [](#) | [](#) | [](#) | [](#) | [](#) | [](#) | |
| | Face Emotion | [](#) | [](#) | [](#) | [](#) | - | [](#) | |
| | Embedding Management | [](#) | - | - | - | - | - | |
| |
| Note: Some models and features that do not support NPU or GPU will automatically use CPU for computation. |
| |
| ## Model Packages |
| |
| For different scenarios, we provide several model packages, each containing multiple models and configurations: |
| |
| | Name | Supported Devices | Note | Last Update | |
| | --- | --- | --- | --- | |
| | Pikachu | CPU | Lightweight edge-side models | Jun 22, 2025 | |
| | Megatron | CPU, GPU | Mobile and server models | Jun 15, 2025 | |
| | Megatron_TRT | GPU | CUDA-based server models | Jun 15, 2025 | |
| | Gundam-RV1109 | RKNPU | Supports RK1109 and RK1126 | Jun 15, 2025 | |
| | Gundam-RV1106 | RKNPU | Supports RV1103 and RV1106 | Jul 6, 2025 | |
| | Gundam-RK356X | RKNPU | Supports RK3566 and RK3568 | Jun 15, 2025 | |
| | Gundam-RK3588 | RKNPU | Supports RK3588 | Jun 15, 2025 | |
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