update README.md

dygraph/README.md

 # 动态图执行
 
-## 数据集设置
-```
-data_dir='data/path'
-train_list='train/list/path'
-val_list='val/list/path'
-test_list='test/list/path'
-num_classes=number/of/dataset/classes
-```
-
 ## 训练
 ```
 python3 train.py --model_name UNet \
---data_dir $data_dir \
---train_list $train_list \
---val_list $val_list \
---num_classes $num_classes \
+--dataset OpticDiscSeg \
 --input_size 192 192 \
---num_epochs 4 \
+--num_epochs 10 \
 --save_interval_epochs 1 \
+--do_eval \
 --save_dir output
 ```
 
 ## 评估
 ```
 python3 val.py --model_name UNet \
---data_dir $data_dir \
---val_list $val_list \
---num_classes $num_classes \
+--dataset OpticDiscSeg \
 --input_size 192 192 \
---model_dir output/epoch_1
+--model_dir output/best_model
 ```
 
 ## 预测
 ```
 python3 infer.py --model_name UNet \
---data_dir $data_dir \
---test_list $test_list \
---num_classes $num_classes \
---input_size 192 192 \
---model_dir output/epoch_1
+--dataset OpticDiscSeg \
+--model_dir output/best_model \
+--input_size 192 192
 ```