bugfix on argpasr for bool

model_zoo/official/cv/maskrcnn/README.md

@@ -50,7 +50,7 @@ MaskRcnn is a two-stage target detection network,This network uses a region prop
  
 ```shell
 .
-└─MaskRcnn      
+└─maskrcnn
   ├─README.md
   ├─scripts
     ├─run_download_process_data.sh       
@@ -58,7 +58,7 @@ MaskRcnn is a two-stage target detection network,This network uses a region prop
     ├─run_train.sh
     └─run_eval.sh
   ├─src
-    ├─MaskRcnn
+    ├─maskrcnn
       ├─__init__.py
       ├─anchor_generator.py
       ├─bbox_assign_sample.py

model_zoo/official/cv/maskrcnn/eval.py

@@ -24,7 +24,7 @@ from mindspore import context, Tensor
 from mindspore.train.serialization import load_checkpoint, load_param_into_net
 import mindspore.dataset.engine as de
 
-from src.MaskRcnn.mask_rcnn_r50 import Mask_Rcnn_Resnet50
+from src.maskrcnn.mask_rcnn_r50 import Mask_Rcnn_Resnet50
 from src.config import config
 from src.dataset import data_to_mindrecord_byte_image, create_maskrcnn_dataset
 from src.util import coco_eval, bbox2result_1image, results2json, get_seg_masks

model_zoo/official/cv/maskrcnn/src/config.py

@@ -141,8 +141,8 @@ config = ed({
     "keep_checkpoint_max": 12,
     "save_checkpoint_path": "./checkpoint",
 
-    "mindrecord_dir": "/home/mxw/mask_rcnn/scripts/MindRecord_COCO2017_Train",
-    "coco_root": "/home/mxw/coco2017/",
+    "mindrecord_dir": "/home/mask_rcnn/MindRecord_COCO2017_Train",
+    "coco_root": "/home/mask_rcnn/coco2017/",
     "train_data_type": "train2017",
     "val_data_type": "val2017",
     "instance_set": "annotations/instances_{}.json",

model_zoo/official/cv/maskrcnn/train.py

@@ -18,6 +18,7 @@
 import os
 import argparse
 import random
+import ast
 import numpy as np
 
 import mindspore.common.dtype as mstype
@@ -30,7 +31,7 @@ from mindspore.train.serialization import load_checkpoint, load_param_into_net
 from mindspore.nn import SGD
 import mindspore.dataset.engine as de
 
-from src.MaskRcnn.mask_rcnn_r50 import Mask_Rcnn_Resnet50
+from src.maskrcnn.mask_rcnn_r50 import Mask_Rcnn_Resnet50
 from src.network_define import LossCallBack, WithLossCell, TrainOneStepCell, LossNet
 from src.config import config
 from src.dataset import data_to_mindrecord_byte_image, create_maskrcnn_dataset
@@ -41,11 +42,11 @@ np.random.seed(1)
 de.config.set_seed(1)
 
 parser = argparse.ArgumentParser(description="MaskRcnn training")
-parser.add_argument("--only_create_dataset", type=bool, default=False, help="If set it true, only create "
-                                                                            "Mindrecord, default is false.")
-parser.add_argument("--run_distribute", type=bool, default=False, help="Run distribute, default is false.")
-parser.add_argument("--do_train", type=bool, default=True, help="Do train or not, default is true.")
-parser.add_argument("--do_eval", type=bool, default=False, help="Do eval or not, default is false.")
+parser.add_argument("--only_create_dataset", type=ast.literal_eval, default=False, help="If set it true, only create "
+                    "Mindrecord, default is false.")
+parser.add_argument("--run_distribute", type=ast.literal_eval, default=False, help="Run distribute, default is false.")
+parser.add_argument("--do_train", type=ast.literal_eval, default=True, help="Do train or not, default is true.")
+parser.add_argument("--do_eval", type=ast.literal_eval, default=False, help="Do eval or not, default is false.")
 parser.add_argument("--dataset", type=str, default="coco", help="Dataset, default is coco.")
 parser.add_argument("--pre_trained", type=str, default="", help="Pretrain file path.")
 parser.add_argument("--device_id", type=int, default=0, help="Device id, default is 0.")