提交 455f5246 编写于 作者: C chenguowei01

update README.md

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......@@ -19,15 +19,22 @@ HumanSeg开放了在大规模人像数据上训练的三个预训练模型,满
| 模型类型 | Checkpoint | Inference Model | Quant Inference Model | 备注 |
| --- | --- | --- | ---| --- |
| HumanSeg-server | [humanseg_server_ckpt](https://paddleseg.bj.bcebos.com/humanseg/models/humanseg_server_ckpt.zip) | [humanseg_server_inference](https://paddleseg.bj.bcebos.com/humanseg/models/humanseg_server_inference.zip) | -- | 高精度模型,适用于服务端GPU且背景复杂的人像场景, 模型结构为Deeplabv3+/Xcetion65 |
| HumanSeg-mobile | [humanseg_mobile_ckpt](https://paddleseg.bj.bcebos.com/humanseg/models/humanseg_mobile_ckpt.zip) | [humanseg_mobile_inference](https://paddleseg.bj.bcebos.com/humanseg/models/humanseg_mobile_inference.zip) | [humanseg_mobile_quant](https://paddleseg.bj.bcebos.com/humanseg/models/humanseg_mobile_quant.zip) | 轻量级模型, 适用于移动端或服务端CPU的前置摄像头场景,模型结构为HRNet_w18_samll_v1 |
| HumanSeg-lite | [humanseg_lite_ckpt](https://paddleseg.bj.bcebos.com/humanseg/models/humanseg_lite_ckpt.zip) | [humanseg_lite_inference](https://paddleseg.bj.bcebos.com/humanseg/models/humanseg_lite_inference.zip) | [humanseg_lite_quant](https://paddleseg.bj.bcebos.com/humanseg/models/humanseg_lite_quant.zip) | 超轻量级模型, 适用于手机自拍人像,且有移动端实时分割场景, 模型结构为优化的ShuffleNetV2 |
| HumanSeg-server | [humanseg_server_ckpt](https://paddleseg.bj.bcebos.com/humanseg/models/humanseg_server_ckpt.zip) | [humanseg_server_inference](https://paddleseg.bj.bcebos.com/humanseg/models/humanseg_server_inference.zip) | -- | 高精度模型,适用于服务端GPU且背景复杂的人像场景, 模型结构为Deeplabv3+/Xcetion65, 输入大小(512, 512) |
| HumanSeg-mobile | [humanseg_mobile_ckpt](https://paddleseg.bj.bcebos.com/humanseg/models/humanseg_mobile_ckpt.zip) | [humanseg_mobile_inference](https://paddleseg.bj.bcebos.com/humanseg/models/humanseg_mobile_inference.zip) | [humanseg_mobile_quant](https://paddleseg.bj.bcebos.com/humanseg/models/humanseg_mobile_quant.zip) | 轻量级模型, 适用于移动端或服务端CPU的前置摄像头场景,模型结构为HRNet_w18_samll_v1,输入大小(192, 192) |
| HumanSeg-lite | [humanseg_lite_ckpt](https://paddleseg.bj.bcebos.com/humanseg/models/humanseg_lite_ckpt.zip) | [humanseg_lite_inference](https://paddleseg.bj.bcebos.com/humanseg/models/humanseg_lite_inference.zip) | [humanseg_lite_quant](https://paddleseg.bj.bcebos.com/humanseg/models/humanseg_lite_quant.zip) | 超轻量级模型, 适用于手机自拍人像,且有移动端实时分割场景, 模型结构为优化的ShuffleNetV2,输入大小(192, 192) |
模型计算耗时(小米,cpu:骁龙855, 内存:6GB, 图片大小:192*192)
| 模型 | humanseg_mobile_inference | humanseg_mobile_quant | humanseg_lite_inference | humanseg_lite_quant |
| --- | --- | --- | --- | --- |
| 耗时(ms) | 42.25 | 24.93 | 17.26 | 11.89 |
模型性能
| 模型 | 模型大小 | 计算耗时 |
| --- | --- | --- |
|humanseg_server_inference| 158M | - |
|humanseg_mobile_inference | 5.8 M | 42.35ms |
|humanseg_mobile_quant | 1.6M | 24.93ms |
|humanseg_lite_inference | 541K | 17.26ms |
|humanseg_lite_quant | 187k | 11.89ms |
计算耗时运行环境: 小米,cpu:骁龙855, 内存:6GB, 图片大小:192*192)
**NOTE:**
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