refine pointnet doc (#4017)

PaddleCV/Paddle3D/PointNet++/README.md

@@ -56,7 +56,7 @@
     sh make.sh
     ```
 
-    成功编译后，`exr_op/src` 目录下将会生成 `pointnet2_lib.so` 
+    成功编译后，`ext_op/src` 目录下将会生成 `pointnet2_lib.so` 
 
     执行下列操作，确保自定义算子编译正确：
 
@@ -69,12 +69,12 @@
     export PYTHONPATH=$PYTHONPATH:`pwd`
 
     # 运行单测 
-    python test/test_farthest_point_sampling_op.py
-    python test/test_gather_point_op.py
-    python test/test_group_points_op.py
-    python test/test_query_ball_op.py
-    python test/test_three_interp_op.py
-    python test/test_three_nn_op.py
+    python tests/test_farthest_point_sampling_op.py
+    python tests/test_gather_point_op.py
+    python tests/test_group_points_op.py
+    python tests/test_query_ball_op.py
+    python tests/test_three_interp_op.py
+    python tests/test_three_nn_op.py
     ```
     单测运行成功会输出提示信息，如下所示：
 

PaddleCV/Paddle3D/PointNet++/eval_cls.py

@@ -25,7 +25,7 @@ import paddle.fluid as fluid
 from models import *
 from data.data_utils import *
 from data.modelnet40_reader import ModelNet40ClsReader 
-from utils import check_gpu, parse_outputs, Stat 
+from utils import *
 
 logging.root.handlers = []
 FORMAT = '%(asctime)s-%(levelname)s: %(message)s'
@@ -83,6 +83,7 @@ def parse_args():
 
 def eval():
     args = parse_args()
+    print_arguments(args)
     # check whether the installed paddle is compiled with GPU
     check_gpu(args.use_gpu)
 

PaddleCV/Paddle3D/PointNet++/eval_seg.py

@@ -24,7 +24,7 @@ import paddle.fluid as fluid
 
 from models import *
 from data.indoor3d_reader import Indoor3DReader
-from utils import check_gpu, parse_outputs, Stat 
+from utils import *
 
 logging.root.handlers = []
 FORMAT = '%(asctime)s-%(levelname)s: %(message)s'
@@ -82,6 +82,7 @@ def parse_args():
 
 def eval():
     args = parse_args()
+    print_arguments(args)
     # check whether the installed paddle is compiled with GPU
     check_gpu(args.use_gpu)
 

PaddleCV/Paddle3D/PointNet++/ext_op/README.md

@@ -20,7 +20,8 @@
   **说明：** 推荐使用docker编译
 
 - 安装Paddle develop[每日版本whl包](https://www.paddlepaddle.org.cn/install/doc/tables#多版本whl包列表-dev-11)
-  **说明：** Paddle develop每日版本目前采用**gcc 4.8.2**版本编译，若使用每日版本，请使用**gcc 4.8.2**版本编译自定义OP，否则可能出现兼容性问题。
+
+  **注意：** 编译自定义OP使用的gcc版本须与Paddle编译使用gcc版本一致，Paddle develop每日版本目前采用**gcc 4.8.2**版本编译，若使用每日版本，请使用**gcc 4.8.2**版本编译自定义OP，否则可能出现兼容性问题。
 
 ## 编译自定义OP
 

PaddleCV/Paddle3D/PointNet++/train_cls.py

@@ -25,7 +25,7 @@ import paddle.fluid as fluid
 from models import *
 from data.modelnet40_reader import ModelNet40ClsReader
 from data.data_utils import *
-from utils import check_gpu, parse_outputs, Stat 
+from utils import *
 
 logging.root.handlers = []
 FORMAT = '%(asctime)s-%(levelname)s: %(message)s'
@@ -117,6 +117,7 @@ def parse_args():
 
 def train():
     args = parse_args()
+    print_arguments(args)
     # check whether the installed paddle is compiled with GPU
     check_gpu(args.use_gpu)
 

PaddleCV/Paddle3D/PointNet++/train_seg.py

@@ -24,7 +24,7 @@ import paddle.fluid as fluid
 
 from models import *
 from data.indoor3d_reader import Indoor3DReader
-from utils import check_gpu, parse_outputs, Stat 
+from utils import *
 
 logging.root.handlers = []
 FORMAT = '%(asctime)s-%(levelname)s: %(message)s'
@@ -116,6 +116,7 @@ def parse_args():
 
 def train():
     args = parse_args()
+    print_arguments(args)
     # check whether the installed paddle is compiled with GPU
     check_gpu(args.use_gpu)
 

PaddleCV/Paddle3D/PointNet++/utils.py

@@ -20,11 +20,12 @@ from __future__ import division
 from __future__ import print_function
 
 import sys
+import six
 import logging
 import numpy as np
 import paddle.fluid as fluid
 
-__all__ = ["chech_gpu"]
+__all__ = ["check_gpu", "print_arguments", "parse_outputs", "Stat"]
 
 logger = logging.getLogger(__name__)
 
@@ -47,6 +48,27 @@ def check_gpu(use_gpu):
         pass
 
 
+def print_arguments(args):
+    """Print argparse's arguments.
+
+    Usage:
+
+    .. code-block:: python
+
+        parser = argparse.ArgumentParser()
+        parser.add_argument("name", default="Jonh", type=str, help="User name.")
+        args = parser.parse_args()
+        print_arguments(args)
+
+    :param args: Input argparse.Namespace for printing.
+    :type args: argparse.Namespace
+    """
+    logger.info("-----------  Configuration Arguments -----------")
+    for arg, value in sorted(six.iteritems(vars(args))):
+        logger.info("%s: %s" % (arg, value))
+    logger.info("------------------------------------------------")
+
+
 def parse_outputs(outputs):
     keys, values = [], []
     for k, v in outputs.items():