fix label_smooth setting (#2884)

PaddleCV/yolov3/README.md

@@ -94,7 +94,7 @@ dataset/coco/
        --class_num=${category_num}
 
 - 通过设置`export CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7`指定8卡GPU训练。
-- 若在Windows环境下训练模型，建议设置`--use_multiprocess=False`。
+- 若在Windows环境下训练模型，建议设置`--use_multiprocess_reader=False`。
 - 可选参数见：
 
     python train.py --help

PaddleCV/yolov3/README_en.md

@@ -95,7 +95,7 @@ Please make sure that pre-trained model is downloaded and loaded correctly, othe
        --class_num=${category_num}
 
 - Set `export CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7` to specifiy 8 GPUs to train. 
-- It is recommended to set `--use_multiprocess=False` when training on Windows.
+- It is recommended to set `--use_multiprocess_reader=False` when training on Windows.
 - For more help on arguments:
 
     python train.py --help

PaddleCV/yolov3/models/yolov3.py

@@ -176,7 +176,7 @@ class YOLOv3(object):
                     class_num=cfg.class_num,
                     ignore_thresh=cfg.ignore_thresh,
                     downsample_ratio=self.downsample,
-                    use_label_smooth=cfg.label_smooth,
+                    use_label_smooth=bool(cfg.label_smooth),
                     name="yolo_loss" + str(i))
                 self.losses.append(fluid.layers.reduce_mean(loss))
             else:

PaddleCV/yolov3/reader.py

@@ -303,8 +303,8 @@ def train(size=416,
         return generator
     else:
         print("multiprocess is not fully compatible with Windows, "
-                "you can set --use_multiprocess=False if there are "
-                "errors incured by multiprocess")
+                "you can set --use_multiprocess_reader=False if there "
+                "are errors incured by multiprocess")
         print("multiprocess reader starting up, it takes a while...")
 
     def infinite_reader():