remove model_cfg.

fluid/PaddleCV/yolov3/eval.py

@@ -39,7 +39,7 @@ def eval():
         if not os.path.exists('output'):
             os.mkdir('output')
 
-    model = YOLOv3(cfg.model_cfg_path, is_train=False)
+    model = YOLOv3(is_train=False)
     model.build_model()
     outputs = model.get_pred()
     place = fluid.CUDAPlace(0) if cfg.use_gpu else fluid.CPUPlace()

fluid/PaddleCV/yolov3/infer.py

@@ -17,7 +17,7 @@ def infer():
     if not os.path.exists('output'):
         os.mkdir('output')
 
-    model = YOLOv3(cfg.model_cfg_path, is_train=False)
+    model = YOLOv3(is_train=False)
     model.build_model()
     outputs = model.get_pred()
     input_size = cfg.input_size

fluid/PaddleCV/yolov3/models/yolov3.py

@@ -56,11 +56,9 @@ def upsample(input, scale=2,name=None):
 
 class YOLOv3(object):
     def __init__(self, 
-                model_cfg_path,
                 is_train=True,
                 use_pyreader=True,
                 use_random=True):
-        self.model_cfg_path = model_cfg_path
         self.is_train = is_train
         self.use_pyreader = use_pyreader
         self.use_random = use_random

fluid/PaddleCV/yolov3/train.py

@@ -42,7 +42,7 @@ def train():
     if not os.path.exists(cfg.model_save_dir):
         os.makedirs(cfg.model_save_dir)
 
-    model = YOLOv3(cfg.model_cfg_path, use_pyreader=cfg.use_pyreader)
+    model = YOLOv3(use_pyreader=cfg.use_pyreader)
     model.build_model()
     input_size = cfg.input_size
     loss = model.loss()

fluid/PaddleCV/yolov3/utility.py

@@ -96,7 +96,6 @@ def parse_args():
     # ENV
     add_arg('parallel',         bool,   True,       "Whether use parallel.")
     add_arg('use_gpu',          bool,   True,      "Whether use GPU.")
-    add_arg('model_cfg_path',   str,    'config/yolov3.cfg', "YOLO model config file path.")
     add_arg('model_save_dir',   str,    'checkpoints',     "The path to save model.")
     add_arg('pretrain',         str,    'weights/darknet53', "The pretrain model path.")
     add_arg('weights',          str,    'weights/yolov3', "The weights path.")