fix typo

turtorial/finetune_fast_scnn.md → tutorial/finetune_fast_scnn.md

@@ -115,5 +115,3 @@ python pdseg/eval.py --use_gpu --cfg ./configs/fast_scnn_pet.yaml
 | Fast-SCNN/bn | (1024, 2048) |6.28ms| 0.6964 |
 
 上述测试环境为v100. 测试使用paddle的推理接口[zero_copy](https://www.paddlepaddle.org.cn/documentation/docs/zh/develop/advanced_guide/inference_deployment/inference/python_infer_cn.html#id8)的方式，模型输出是类别，即argmax后的值。
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turtorial/finetune_hrnet.md → tutorial/finetune_hrnet.md

@@ -145,4 +145,3 @@ python pdseg/vis.py --use_gpu --cfg ./configs/hrnet_optic.yaml
 | hrnet_w44_bn_imagenet |HRNet| ImageNet | MODEL.MODEL_NAME: hrnet <br> MODEL.HRNET.STAGE2.NUM_CHANNELS: [44, 88] <br> MODEL.HRNET.STAGE3.NUM_CHANNELS: [44, 88, 176] <br> MODEL.HRNET.STAGE4.NUM_CHANNELS: [44, 88, 176, 352] <br> MODEL.DEFAULT_NORM_TYPE: bn |
 | hrnet_w48_bn_imagenet |HRNet| ImageNet | MODEL.MODEL_NAME: hrnet <br> MODEL.HRNET.STAGE2.NUM_CHANNELS: [48, 96] <br> MODEL.HRNET.STAGE3.NUM_CHANNELS: [48, 96, 192] <br> MODEL.HRNET.STAGE4.NUM_CHANNELS: [48, 96, 192, 384] <br> MODEL.DEFAULT_NORM_TYPE: bn |
 | hrnet_w64_bn_imagenet |HRNet| ImageNet | MODEL.MODEL_NAME: hrnet <br> MODEL.HRNET.STAGE2.NUM_CHANNELS: [64, 128] <br> MODEL.HRNET.STAGE3.NUM_CHANNELS: [64, 128, 256] <br> MODEL.HRNET.STAGE4.NUM_CHANNELS: [64, 128, 256, 512] <br> MODEL.DEFAULT_NORM_TYPE: bn |
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