diff --git a/examples/vision/detection/yolov5lite/README.md b/examples/vision/detection/yolov5lite/README.md index ae86cd4c35..9c6d0ece89 100644 --- a/examples/vision/detection/yolov5lite/README.md +++ b/examples/vision/detection/yolov5lite/README.md @@ -56,7 +56,7 @@ |:---------------------------------------------------------------- |:----- |:----- | | [YOLOv5Lite-e](https://bj.bcebos.com/paddlehub/fastdeploy/v5Lite-e-sim-320.onnx) | 3.1MB | 35.1% | | [YOLOv5Lite-s](https://bj.bcebos.com/paddlehub/fastdeploy/v5Lite-s-sim-416.onnx) | 6.3MB | 42.0% | -| [YOLOv5Lite-c](https://bj.bcebos.com/paddlehub/fastdeploy/v5Lite-c-sim-512.onnxx) | 18MB | 50.9% | +| [YOLOv5Lite-c](https://bj.bcebos.com/paddlehub/fastdeploy/v5Lite-c-sim-512.onnx) | 18MB | 50.9% | | [YOLOv5Lite-g](https://bj.bcebos.com/paddlehub/fastdeploy/v5Lite-g-sim-640.onnx) | 21MB | 57.6% | diff --git a/examples/vision/detection/yolox/README.md b/examples/vision/detection/yolox/README.md index badbe4c7fd..eea8763627 100644 --- a/examples/vision/detection/yolox/README.md +++ b/examples/vision/detection/yolox/README.md @@ -15,7 +15,7 @@ |:---------------------------------------------------------------- |:----- |:----- | | [YOLOX-s](https://bj.bcebos.com/paddlehub/fastdeploy/yolox_s.onnx) | 35MB | 39.6% | | [YOLOX-m](https://bj.bcebos.com/paddlehub/fastdeploy/yolox_m.onnx) | 97MB | 46.4.5% | -| [YOLOX-l](https://bj.bcebos.com/paddlehub/fastdeploy/yolox_tiny.onnx) | 207MB | 50.0% | +| [YOLOX-l](https://bj.bcebos.com/paddlehub/fastdeploy/yolox_l.onnx) | 207MB | 50.0% | | [YOLOX-x](https://bj.bcebos.com/paddlehub/fastdeploy/yolox_x.onnx) | 378MB | 51.2% | diff --git a/examples/vision/facedet/scrfd/README.md b/examples/vision/facedet/scrfd/README.md index f7935fcb16..93ff8b998f 100644 --- a/examples/vision/facedet/scrfd/README.md +++ b/examples/vision/facedet/scrfd/README.md @@ -50,14 +50,12 @@ | [SCRFD-2.5G-320](https://bj.bcebos.com/paddlehub/fastdeploy/scrfd_2.5g_shape320x320.onnx) | 2.6MB | - | | [SCRFD-2.5G-kps-640](https://bj.bcebos.com/paddlehub/fastdeploy/scrfd_2.5g_bnkps_shape640x640.onnx) | 3.2MB | 93.8% | | [SCRFD-2.5G-640](https://bj.bcebos.com/paddlehub/fastdeploy/scrfd_2.5g_shape640x640.onnx) | 2.6MB | 93.78% | -| [SCRFD-10G-kps-160](https://bj.bcebos.com/paddlehub/fastdeploy/scrfd_10g_bnkps_shape160x160.onnx) | 17MB | - | -| [SCRFD-10G-160](https://bj.bcebos.com/paddlehub/fastdeploy/scrfd_10g_shape160x160.onnx) | 15MB | - | | [SCRFD-10G-kps-320](https://bj.bcebos.com/paddlehub/fastdeploy/scrfd_10g_bnkps_shape320x320.onnx) | 17MB | - | | [SCRFD-10G-320](https://bj.bcebos.com/paddlehub/fastdeploy/scrfd_10g_shape320x320.onnx) | 15MB | - | | [SCRFD-10G-kps-640](https://bj.bcebos.com/paddlehub/fastdeploy/scrfd_10g_bnkps_shape640x640.onnx) | 17MB | 95.4% | | [SCRFD-10G-640](https://bj.bcebos.com/paddlehub/fastdeploy/scrfd_10g_shape640x640.onnx) | 15MB | 95.16% | - - +| [SCRFD-10G-kps-1280](https://bj.bcebos.com/paddlehub/fastdeploy/scrfd_10g_bnkps_shape1280x1280.onnx) | 17MB | - | +| [SCRFD-10G-1280](https://bj.bcebos.com/paddlehub/fastdeploy/scrfd_10g_shape1280x1280.onnx) | 15MB | - | ## 详细部署文档 diff --git a/examples/vision/matting/modnet/README.md b/examples/vision/matting/modnet/README.md index b630d60fa7..2edf99b7e5 100644 --- a/examples/vision/matting/modnet/README.md +++ b/examples/vision/matting/modnet/README.md @@ -21,7 +21,7 @@ 为了方便开发者的测试,下面提供了MODNet导出的各系列模型,开发者可直接下载使用。(下表中模型的精度来源于源官方库) | 模型 | 大小 | 精度 | |:---------------------------------------------------------------- |:----- |:----- | -| [modnet_photographic](https://bj.bcebos.com/paddlehub/fastdeploy/modnet_photographic__portrait_matting.onnx) | 25MB | - | +| [modnet_photographic](https://bj.bcebos.com/paddlehub/fastdeploy/modnet_photographic_portrait_matting.onnx) | 25MB | - | | [modnet_webcam](https://bj.bcebos.com/paddlehub/fastdeploy/modnet_webcam_portrait_matting.onnx) | 25MB | -| | [modnet_photographic_256](https://bj.bcebos.com/paddlehub/fastdeploy/modnet_photographic_portrait_matting-256x256.onnx) | 25MB | - | | [modnet_webcam_256](https://bj.bcebos.com/paddlehub/fastdeploy/modnet_webcam_portrait_matting-256x256.onnx) | 25MB | - |