未验证 提交 89f78b0a 编写于 作者: Q qingqing01 提交者: GitHub

Fix some doc in models (#1951)

Fix doc for human pose estimation and DeepLab v3+.
上级 cd671e99
......@@ -90,7 +90,7 @@ python ./train.py \
执行以下命令在`Cityscape`测试数据集上进行测试:
```
python ./eval.py \
--init_weights=deeplabv3plus_gn \
--init_weights_path=deeplabv3plus_gn \
--norm_type=gn \
--dataset_path=$DATASET_PATH
```
......
......@@ -23,7 +23,6 @@ add_arg = lambda *args: utility.add_arguments(*args, argparser=parser)
add_arg('total_step', int, -1, "Number of the step to be evaluated, -1 for full evaluation.")
add_arg('init_weights_path', str, None, "Path of the weights to evaluate.")
add_arg('dataset_path', str, None, "Cityscape dataset path.")
add_arg('verbose', bool, False, "Print mIoU for each step if verbose.")
add_arg('use_gpu', bool, True, "Whether use GPU or CPU.")
add_arg('num_classes', int, 19, "Number of classes.")
add_arg('use_py_reader', bool, True, "Use py_reader.")
......
......@@ -31,7 +31,7 @@ The code is developed and tested under 4 Tesla K40/P40 GPUS cards on CentOS with
| 256x192\_pose\_resnet\_50 in PyTorch | 0.704 | 0.886 | 0.783 | 0.671 | 0.772 | 0.763 | 0.929 | 0.834 | 0.721 | 0.824 | - |
| 256x192\_pose\_resnet\_50 in Fluid | 0.712 | 0.897 | 0.786 | 0.683 | 0.756 | 0.741 | 0.906 | 0.806 | 0.709 | 0.790 | [`link`](https://paddlemodels.bj.bcebos.com/pose/pose-resnet50-coco-256x192.tar.gz) |
| 384x288\_pose\_resnet\_50 in PyTorch | 0.722 | 0.893 | 0.789 | 0.681 | 0.797 | 0.776 | 0.932 | 0.838 | 0.728 | 0.846 | - |
| 384x288\_pose\_resnet\_50 in Fluid | 0.727 | 0.897 | 0.796 | 0.690 | 0.783 | 0.754 | 0.907 | 0.813 | 0.714 | 0.814 | [`link`](https://paddlemodels.bj.bcebos.com/pose/pose-resnet50-coco-384x288.tar.gz |
| 384x288\_pose\_resnet\_50 in Fluid | 0.727 | 0.897 | 0.796 | 0.690 | 0.783 | 0.754 | 0.907 | 0.813 | 0.714 | 0.814 | [`link`](https://paddlemodels.bj.bcebos.com/pose/pose-resnet50-coco-384x288.tar.gz) |
### Notes:
......
......@@ -29,7 +29,7 @@
| 256x192\_pose\_resnet\_50 in PyTorch | 0.704 | 0.886 | 0.783 | 0.671 | 0.772 | 0.763 | 0.929 | 0.834 | 0.721 | 0.824 | - |
| 256x192\_pose\_resnet\_50 in Fluid | 0.712 | 0.897 | 0.786 | 0.683 | 0.756 | 0.741 | 0.906 | 0.806 | 0.709 | 0.790 | [`link`](https://paddlemodels.bj.bcebos.com/pose/pose-resnet50-coco-256x192.tar.gz) |
| 384x288\_pose\_resnet\_50 in PyTorch | 0.722 | 0.893 | 0.789 | 0.681 | 0.797 | 0.776 | 0.932 | 0.838 | 0.728 | 0.846 | - |
| 384x288\_pose\_resnet\_50 in Fluid | 0.727 | 0.897 | 0.796 | 0.690 | 0.783 | 0.754 | 0.907 | 0.813 | 0.714 | 0.814 | [`link`](https://paddlemodels.bj.bcebos.com/pose/pose-resnet50-coco-384x288.tar.gz |
| 384x288\_pose\_resnet\_50 in Fluid | 0.727 | 0.897 | 0.796 | 0.690 | 0.783 | 0.754 | 0.907 | 0.813 | 0.714 | 0.814 | [`link`](https://paddlemodels.bj.bcebos.com/pose/pose-resnet50-coco-384x288.tar.gz) |
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