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Jia Guo
2021-09-21 10:46:33 +08:00
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python-package/README.md
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@@ -45,13 +45,35 @@ Starting from insightface>=0.2, we use onnxruntime as inference backend.
In the latest version of insightface library, we provide following model packs:
Name in **bold** is the default model pack.
| Name | Detection Model | Recognition Model | Alignment | Attributes | Model-Size |
| -------------- | --------------- | ------------------- | ------------ | ---------- | ---------- |
| antelopev2 | SCRFD-10GF | ResNet100@Glint360K | 2d106 & 3d68 | Gender&Age | 407MB |
| **buffalo_l** | SCRFD-10GF | ResNet50@WebFace600K | 2d106 & 3d68 | Gender&Age | 326MB |
| buffalo_m | SCRFD-2.5GF | ResNet50@WebFace600K | 2d106 & 3d68 | Gender&Age | 313MB |
| buffalo_s | SCRFD-500MF | MBF@WebFace600K | 2d106 & 3d68 | Gender&Age | 159MB |
| buffalo_sc | SCRFD-500MF | MBF@WebFace600K | - | - | 16MB |
Recognition Accuracy:
| Name | MR-ALL | African | Caucasian | South Asian | East Asian | LFW | CFP-FP | AgeDB-30 | IJB-C(E4) |
| :-------- | ------ | ------- | --------- | ----------- | ---------- | ----- | ------ | -------- | --------- |
| buffalo_l | 91.25 | 90.29 | 94.70 | 93.16 | 74.96 | 99.83 | 99.33 | 98.23 | 97.25 |
| buffalo_s | 71.87 | 69.45 | 80.45 | 73.39 | 51.03 | 99.70 | 98.00 | 96.58 | 95.02 |
*buffalo_m has the same accuracy with buffalo_l.*
*buffalo_sc has the same accuracy with buffalo_s.*
| Name | Detection Model | Recognition Model | Alignment | Attributes |
| ----------------------- | ----------------- | ----- | ----- | ----- |
| **antelopev2** | SCRFD-10GF | ResNet100@Glint360K | 2d106 & 3d68 | Gender&Age |
**Note that these models are available for non-commercial research purposes only.**
For insightface>=0.3.3, models will be downloaded automatically once we init ``app = FaceAnalysis()`` instance.
For insightface==0.3.2, you must first download the model package by command: