fix import in ipynb, clear init, minor upadte by comments

README.md

@@ -167,14 +167,6 @@ All required packages are listed in standard file:
 pip3 install -r requirements.txt
 ```
 
-## Installation
-
-The installation as possible using following command:
-```bash
-python3 setup.py build_ext --inplace
-python3 setup.py install
-``` 
-
 ### MS COCO Requirements:
 To train or test on MS COCO, you'll also need:
 * pycocotools (installation instructions below)
@@ -188,7 +180,10 @@ If you use Docker, the code has been verified to work on
 
 
 ## Installation
-1. Clone this repository
+1. Clone this repository. The installation as possible using following command:
+    ```bash
+    python3 setup.py install
+    ``` 
 2. Download pre-trained COCO weights (mask_rcnn_coco.h5) from the [releases page](https://github.com/matterport/Mask_RCNN/releases).
 3. (Optional) To train or test on MS COCO install `pycocotools` from one of these repos. They are forks of the original pycocotools with fixes for Python3 and Windows (the official repo doesn't seem to be active anymore).
 

mrcnn/__init__.py

@@ -1,18 +1 @@
-import os
-import logging
 
-import matplotlib
-import numpy as np
-
-# in case you are running on machine without display, e.g. server
-if os.environ.get('DISPLAY', '') == '' \
-        and matplotlib.rcParams['backend'] != 'agg':
-    logging.warning('No display found. Using non-interactive Agg backend')
-    # https://matplotlib.org/faq/usage_faq.html
-    matplotlib.use('Agg')
-
-# parse the numpy versions
-np_version = [int(i) for i in np.version.full_version.split('.')]
-# comparing strings does not work for version lower 1.10
-if np_version >= [1, 14]:
-    np.set_printoptions(legacy='1.13')

mrcnn/model.py

@@ -2033,7 +2033,7 @@ def find_last(self):
         dir_name = os.path.join(self.model_dir, dir_names[-1])
         # Find the last checkpoint
         checkpoints = next(os.walk(dir_name))[2]
-        checkpoints = filter(lambda f: f.startswith("mrcnn"), checkpoints)
+        checkpoints = filter(lambda f: f.startswith("mask_rcnn"), checkpoints)
         checkpoints = sorted(checkpoints)
         if not checkpoints:
             return dir_name, None

mrcnn/visualize.py

@@ -7,14 +7,24 @@
 Written by Waleed Abdulla
 """
 
+import os
+import logging
 import random
 import itertools
 import colorsys
+
+import matplotlib
+# in case you are running on machine without display, e.g. server
+if os.environ.get('DISPLAY', '') == '' \
+        and matplotlib.rcParams['backend'] != 'agg':
+    logging.warning('No display found. Using non-interactive Agg backend')
+    # https://matplotlib.org/faq/usage_faq.html
+    matplotlib.use('Agg')
+
 import numpy as np
 from skimage.measure import find_contours
 import matplotlib.pyplot as plt
-import matplotlib.patches as patches
-import matplotlib.lines as lines
+from matplotlib import patches,  lines
 from matplotlib.patches import Polygon
 import IPython.display
 

samples/balloon/README.md

@@ -30,17 +30,17 @@ Open the `inspect_balloon_data.ipynb` or `inspect_balloon_model.ipynb` Jupter no
 ## Train the Balloon model
 
 Train a new model starting from pre-trained COCO weights
-```bash
+```
 python3 balloon.py train --dataset=/path/to/balloon/dataset --weights=coco
 ```
 
 Resume training a model that you had trained earlier
-```bash
+```
 python3 balloon.py train --dataset=/path/to/balloon/dataset --weights=last
 ```
 
 Train a new model starting from ImageNet weights
-```bash
+```
 python3 balloon.py train --dataset=/path/to/balloon/dataset --weights=imagenet
 ```
 

samples/balloon/inspect_balloon_data.ipynb

@@ -49,8 +49,8 @@
     "\n",
     "# Import Mask RCNN\n",
     "sys.path.append(ROOT_DIR)\n",
-    "import mrcnn.utils\n",
-    "import mrcnn.visualize\n",
+    "from mrcnn import utils\n",
+    "from mrcnn import visualize\n",
     "from mrcnn.visualize import display_images\n",
     "import mrcnn.model as modellib\n",
     "from mrcnn.model import log\n",

samples/balloon/inspect_balloon_model.ipynb

@@ -45,8 +45,8 @@
     "\n",
     "# Import Mask RCNN\n",
     "sys.path.append(ROOT_DIR)\n",
-    "import mrcnn.utils\n",
-    "import mrcnn.visualize\n",
+    "from mrcnn import utils\n",
+    "from mrcnn import visualize\n",
     "from mrcnn.visualize import display_images\n",
     "import mrcnn.model as modellib\n",
     "from mrcnn.model import log\n",

samples/inspect_data.ipynb

@@ -39,8 +39,8 @@
     "import matplotlib.lines as lines\n",
     "from matplotlib.patches import Polygon\n",
     "\n",
-    "import mrcnn.utils\n",
-    "import mrcnn.visualize\n",
+    "from mrcnn import utils\n",
+    "from mrcnn import visualize\n",
     "from mrcnn.visualize import display_images\n",
     "import mrcnn.model as modellib\n",
     "from mrcnn.model import log\n",

samples/inspect_model.ipynb

@@ -35,8 +35,8 @@
     "import matplotlib.pyplot as plt\n",
     "import matplotlib.patches as patches\n",
     "\n",
-    "import mrcnn.utils\n",
-    "import mrcnn.visualize\n",
+    "from mrcnn import utils\n",
+    "from mrcnn import visualize\n",
     "from mrcnn.visualize import display_images\n",
     "import mrcnn.model as modellib\n",
     "from mrcnn.model import log\n",

samples/inspect_weights.ipynb

@@ -31,9 +31,9 @@
     "import matplotlib.pyplot as plt\n",
     "import keras\n",
     "\n",
-    "import mrcnn.utils\n",
+    "from mrcnn import utils\n",
     "import mrcnn.model as modellib\n",
-    "import mrcnn.visualize\n",
+    "from mrcnn import visualize\n",
     "from mrcnn.model import log\n",
     "\n",
     "%matplotlib inline \n",

samples/train_shapes.ipynb

@@ -38,9 +38,9 @@
     "import matplotlib.pyplot as plt\n",
     "\n",
     "from mrcnn.config import Config\n",
-    "import mrcnn.utils\n",
+    "from mrcnn import utils\n",
     "import mrcnn.model as modellib\n",
-    "import mrcnn.visualize\n",
+    "from mrcnn import visualize\n",
     "from mrcnn.model import log\n",
     "\n",
     "%matplotlib inline \n",

setup.py

@@ -2,7 +2,6 @@
 The build/compilations setup
 
 >> pip install -r requirements.txt
->> python setup.py build_ext --inplace
 >> python setup.py install
 
 For uploading to PyPi follow instructions