update the directory of YoloV3-DarkNet53 and deepfm

model_zoo/deepfm/src/__init__.py

@@ -1,14 +0,0 @@
-# Copyright 2020 Huawei Technologies Co., Ltd
-#
-# Licensed under the Apache License, Version 2.0 (the License);
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# httpwww.apache.orglicensesLICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an AS IS BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-# ============================================================================

model_zoo/official/cv/yolov3_darknet53/README.md

@@ -31,6 +31,7 @@ This is an example of training YOLOV3-DarkNet53 with COCO2014 dataset in MindSpo
     ├─run_distribute_train.sh         # launch distributed training(8p)
     └─run_eval.sh                     # launch evaluating
   ├─src
+    ├─__init__.py                     # python init file
     ├─config.py                       # parameter configuration
     ├─darknet.py                      # backbone of network
     ├─distributed_sampler.py          # iterator of dataset

model_zoo/official/recommend/deepfm/README.md

@@ -23,13 +23,15 @@ The overall network architecture of DeepFM is show below:
 
 ## Script and sample code
 
-```python
+```shell
 ├── deepfm       
   ├── README.md                      
   ├── scripts 
-  │   ├──run_train.sh                  
+  │   ├──run_distribute_train.sh                
+  │   ├──run_standalone_train.sh                    
   │   ├──run_eval.sh                   
   ├── src
+  │   ├──__init__.py                     
   │   ├──config.py                     
   │   ├──dataset.py
   │   ├──callback.py