fix the convert dataset tolls

paddlex/tools/x2seg.py

@@ -159,7 +159,7 @@ class JingLing2Seg(X2Seg):
             img_name_part = osp.splitext(img_name)[0]
             json_file = osp.join(json_dir, img_name_part + ".json")
             if not osp.exists(json_file):
-                os.remove(os.remove(osp.join(image_dir, img_name)))
+                os.remove(osp.join(image_dir, img_name))
                 continue
             with open(json_file, mode="r", \
                               encoding=get_encoding(json_file)) as j:
@@ -212,7 +212,7 @@ class LabelMe2Seg(X2Seg):
             img_name_part = osp.splitext(img_name)[0]
             json_file = osp.join(json_dir, img_name_part + ".json")
             if not osp.exists(json_file):
-                os.remove(os.remove(osp.join(image_dir, img_name)))
+                os.remove(osp.join(image_dir, img_name))
                 continue
             with open(json_file, mode="r", \
                               encoding=get_encoding(json_file)) as j:
@@ -298,7 +298,7 @@ class EasyData2Seg(X2Seg):
             img_name_part = osp.splitext(img_name)[0]
             json_file = osp.join(json_dir, img_name_part + ".json")
             if not osp.exists(json_file):
-                os.remove(os.remove(osp.join(image_dir, img_name)))
+                os.remove(osp.join(image_dir, img_name))
                 continue
             img_file = osp.join(image_dir, img_name)
             img = np.asarray(PIL.Image.open(img_file))

paddlex/tools/x2voc.py

@@ -139,7 +139,7 @@ class EasyData2VOC(X2VOC):
             img_name_part = osp.splitext(img_name)[0]
             json_file = osp.join(json_dir, img_name_part + ".json")
             if not osp.exists(json_file):
-                os.remove(os.remove(osp.join(image_dir, img_name)))
+                os.remove(osp.join(image_dir, img_name))
                 continue
             xml_doc = minidom.Document() 
             root = xml_doc.createElement("annotation")