fix fruit dataset (#3806)

* fix fruit dataset

* fix md5

PaddleCV/PaddleDetection/configs/yolov3_mobilenet_v1_fruit.yml

@@ -63,8 +63,8 @@ OptimizerBuilder:
 YoloTrainFeed:
   batch_size: 1
   dataset:
-    dataset_dir: dataset/fruit/fruit-detection
-    annotation: train.txt
+    dataset_dir: dataset/fruit
+    annotation: fruit-detection/train.txt
     use_default_label: false
   num_workers: 16
   bufsize: 128
@@ -109,8 +109,8 @@ YoloEvalFeed:
   batch_size: 1
   image_shape: [3, 608, 608]
   dataset:
-    dataset_dir: dataset/fruit/fruit-detection
-    annotation: val.txt
+    dataset_dir: dataset/fruit
+    annotation: fruit-detection/val.txt
     use_default_label: false
  
 
@@ -118,5 +118,5 @@ YoloTestFeed:
   batch_size: 1
   image_shape: [3, 608, 608]
   dataset:
-    dataset_dir: dataset/fruit/fruit-detection
+    dataset_dir: dataset/fruit
     use_default_label: false

PaddleCV/PaddleDetection/ppdet/utils/download.py

@@ -71,11 +71,9 @@ DATASETS = {
             'https://dataset.bj.bcebos.com/wider_face/wider_face_split.zip',
             'a4a898d6193db4b9ef3260a68bad0dc7', ),
     ], ["WIDER_train", "WIDER_val", "wider_face_split"]),
-    'fruit': ([
-        (
-            'https://dataset.bj.bcebos.com/PaddleDetection_demo/fruit-detection.tar',
-            '374554a7633b1b68d6a5fbb7c061b8ba', ),
-    ], ["fruit-detection"]),
+    'fruit': ([(
+        'https://dataset.bj.bcebos.com/PaddleDetection_demo/fruit-detection.tar',
+        'ee4a1bf2e321b75b0850cc6e063f79d7', ), ], ["fruit-detection"]),
 }
 
 DOWNLOAD_RETRY_LIMIT = 3
@@ -133,8 +131,8 @@ def get_dataset_path(path, annotation, image_dir):
     # not match any dataset in DATASETS
     raise ValueError("Dataset {} is not valid and cannot parse dataset type "
                      "'{}' for automaticly downloading, which only supports "
-                     "'voc' and 'coco' currently".format(path,
-                                                         osp.split(path)[-1]))
+                     "'voc', 'coco', 'wider_face' and 'fruit' currently".format(
+                         path, osp.split(path)[-1]))
 
 
 def create_voc_list(data_dir, devkit_subdir='VOCdevkit'):