iasjkk commited on
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f5cb202
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1 Parent(s): 45cd6a0

Update config.py

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  1. config.py +4 -25
config.py CHANGED
@@ -1,26 +1,6 @@
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- """
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- Mask R-CNN
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- Base Configurations class.
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-
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- Copyright (c) 2017 Matterport, Inc.
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- Licensed under the MIT License (see LICENSE for details)
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- Written by Waleed Abdulla
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- """
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-
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  import numpy as np
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-
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- # Base Configuration Class
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- # Don't use this class directly. Instead, sub-class it and override
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- # the configurations you need to change.
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-
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  class Config(object):
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- """Base configuration class. For custom configurations, create a
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- sub-class that inherits from this one and override properties
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- that need to be changed.
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- """
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- # Name the configurations. For example, 'COCO', 'Experiment 3', ...etc.
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- # Useful if your code needs to do things differently depending on which
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  # experiment is running.
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  NAME = None # Override in sub-classes
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@@ -133,7 +113,6 @@ class Config(object):
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  IMAGE_MIN_SCALE = 0
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  # Number of color channels per image. RGB = 3, grayscale = 1, RGB-D = 4
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  # Changing this requires other changes in the code. See the WIKI for more
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- # details: https://github.com/matterport/Mask_RCNN/wiki
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  IMAGE_CHANNEL_COUNT = 3
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  # Image mean (RGB)
@@ -189,9 +168,9 @@ class Config(object):
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  LOSS_WEIGHTS = {
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  "rpn_class_loss": 1.,
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  "rpn_bbox_loss": 1.,
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- "mrcnn_class_loss": 1.,
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- "mrcnn_bbox_loss": 1.,
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- "mrcnn_mask_loss": 1.
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  }
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  # Use RPN ROIs or externally generated ROIs for training
@@ -233,4 +212,4 @@ class Config(object):
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  for a in dir(self):
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  if not a.startswith("__") and not callable(getattr(self, a)):
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  print("{:30} {}".format(a, getattr(self, a)))
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- print("\n")
 
 
 
 
 
 
 
 
 
 
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  import numpy as np
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  class Config(object):
 
 
 
 
 
 
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  # experiment is running.
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  NAME = None # Override in sub-classes
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  IMAGE_MIN_SCALE = 0
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  # Number of color channels per image. RGB = 3, grayscale = 1, RGB-D = 4
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  # Changing this requires other changes in the code. See the WIKI for more
 
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  IMAGE_CHANNEL_COUNT = 3
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  # Image mean (RGB)
 
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  LOSS_WEIGHTS = {
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  "rpn_class_loss": 1.,
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  "rpn_bbox_loss": 1.,
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+ "bboxcnn_class_loss": 1.,
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+ "bboxcnn_bbox_loss": 1.,
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+ "bboxcnn_mask_loss": 1.
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  }
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  # Use RPN ROIs or externally generated ROIs for training
 
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  for a in dir(self):
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  if not a.startswith("__") and not callable(getattr(self, a)):
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  print("{:30} {}".format(a, getattr(self, a)))
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+ print("\n")