@ -94,7 +94,7 @@ sh run_standalone_train.sh [PRETRAINED_MODEL]
```
> Rank_table.json which is specified by RANK_TABLE_FILE is needed when you are running a distribute task. You can generate it by using the [hccl_tools](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/utils/hccl_tools).
> As for PRETRAINED_MODEL,if not set, the model will be trained from the very beginning.Ready-made pretrained_models are not available now. Stay tuned.
> As for PRETRAINED_MODEL,it should be a ResNet50 checkpoint that trained over ImageNet2012. Ready-made pretrained_models are not available now. Stay tuned.
#### Result
@ -125,7 +125,7 @@ sh run_eval.sh [VALIDATION_JSON_FILE] [CHECKPOINT_PATH]
#### Result
Inference result will be stored in the example path, whose folder name is "infer". Under this, you can find result like the followings in log.
Inference result will be stored in the example path, whose folder name is "eval". Under this, you can find result like the followings in log.
```
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.360