from __future__ import print_function from __future__ import unicode_literals import os import re import torch from utils.attr_dict import AttrDict from runx.logx import logx __C = AttrDict() cfg = __C __C.GLOBAL_RANK = 0 __C.EPOCH = 0 # Absolute path to a location to keep some large files, not in this dir. __C.ASSETS_PATH = "/p/project/haf/users/coquelin1/nvidia-citys/weights" # Use class weighted loss per batch to increase loss for low pixel count classes per batch __C.BATCH_WEIGHTING = False # Border Relaxation Count __C.BORDER_WINDOW = 1 # Number of epoch to use before turn off border restriction __C.REDUCE_BORDER_EPOCH = -1 # Comma Seperated List of class id to relax __C.STRICTBORDERCLASS = None # Where output results get written __C.RESULT_DIR = None __C.OPTIONS = AttrDict() __C.OPTIONS.TEST_MODE = False
from __future__ import print_function from __future__ import unicode_literals import os import re import torch from utils.attr_dict import AttrDict from runx.logx import logx __C = AttrDict() cfg = __C __C.GLOBAL_RANK = 0 __C.EPOCH = 0 # Absolute path to a location to keep some large files, not in this dir. __C.ASSETS_PATH = '' # Use class weighted loss per batch to increase loss for low pixel count classes per batch __C.BATCH_WEIGHTING = True # Border Relaxation Count __C.BORDER_WINDOW = 1 # Number of epoch to use before turn off border restriction __C.REDUCE_BORDER_EPOCH = -1 # Comma Seperated List of class id to relax __C.STRICTBORDERCLASS = None # Where output results get written __C.RESULT_DIR = '' __C.OPTIONS = AttrDict() __C.OPTIONS.TEST_MODE = False
from __future__ import print_function from __future__ import unicode_literals import os import re import torch from utils.attr_dict import AttrDict from runx.logx import logx __C = AttrDict() cfg = __C __C.GLOBAL_RANK = 0 __C.EPOCH = 0 # Absolute path to a location to keep some large files, not in this dir. __C.ASSETS_PATH = '/var/tmp/fastseg-training/assets' # Use class weighted loss per batch to increase loss for low pixel count classes per batch __C.BATCH_WEIGHTING = False # Border Relaxation Count __C.BORDER_WINDOW = 1 # Number of epoch to use before turn off border restriction __C.REDUCE_BORDER_EPOCH = -1 # Comma Seperated List of class id to relax __C.STRICTBORDERCLASS = None # Where output results get written __C.RESULT_DIR = None __C.OPTIONS = AttrDict() __C.OPTIONS.TEST_MODE = False
from __future__ import unicode_literals import os import re import torch from utils.attr_dict import AttrDict from runx.logx import logx __C = AttrDict() cfg = __C __C.GLOBAL_RANK = 0 __C.EPOCH = 0 # Absolute path to a location to keep some large files, not in this dir. __C.ASSETS_PATH = './assets/' # Use class weighted loss per batch to increase loss for low pixel count classes per batch __C.BATCH_WEIGHTING = False # Border Relaxation Count __C.BORDER_WINDOW = 1 # Number of epoch to use before turn off border restriction __C.REDUCE_BORDER_EPOCH = -1 # Comma Seperated List of class id to relax __C.STRICTBORDERCLASS = None # Where output results get written __C.RESULT_DIR = None __C.OPTIONS = AttrDict() __C.OPTIONS.TEST_MODE = False
from __future__ import print_function from __future__ import unicode_literals import os import re import torch from utils.attr_dict import AttrDict from runx.logx import logx __C = AttrDict() cfg = __C __C.GLOBAL_RANK = 0 __C.EPOCH = 0 # Absolute path to a location to keep some large files, not in this dir. __C.ASSETS_PATH = '/scratch/local/ssd/csbotos/tmp/assets' # Use class weighted loss per batch to increase loss for low pixel count classes per batch __C.BATCH_WEIGHTING = False # Border Relaxation Count __C.BORDER_WINDOW = 1 # Number of epoch to use before turn off border restriction __C.REDUCE_BORDER_EPOCH = -1 # Comma Seperated List of class id to relax __C.STRICTBORDERCLASS = None # Where output results get written __C.RESULT_DIR = None __C.OPTIONS = AttrDict() __C.OPTIONS.TEST_MODE = False
from __future__ import print_function from __future__ import unicode_literals import os import re import torch from utils.attr_dict import AttrDict from runx.logx import logx __C = AttrDict() cfg = __C __C.GLOBAL_RANK = 0 __C.EPOCH = 0 # Absolute path to a location to keep some large files, not in this dir. __C.ASSETS_PATH = '/home/dcg-adlr-atao-data.cosmos277/assets' # Use class weighted loss per batch to increase loss for low pixel count classes per batch __C.BATCH_WEIGHTING = False # Border Relaxation Count __C.BORDER_WINDOW = 1 # Number of epoch to use before turn off border restriction __C.REDUCE_BORDER_EPOCH = -1 # Comma Seperated List of class id to relax __C.STRICTBORDERCLASS = None # Where output results get written __C.RESULT_DIR = None __C.OPTIONS = AttrDict() __C.OPTIONS.TEST_MODE = False
from __future__ import print_function from __future__ import unicode_literals import os import re import torch from utils.attr_dict import AttrDict from runx.logx import logx __C = AttrDict() cfg = __C __C.GLOBAL_RANK = 0 __C.EPOCH = 0 # Absolute path to a location to keep some large files, not in this dir. __C.ASSETS_PATH = '/home/cgiuser/renjith/segmentation/hrnet/assets/' # Use class weighted loss per batch to increase loss for low pixel count classes per batch __C.BATCH_WEIGHTING = False # Border Relaxation Count __C.BORDER_WINDOW = 1 # Number of epoch to use before turn off border restriction __C.REDUCE_BORDER_EPOCH = -1 # Comma Seperated List of class id to relax __C.STRICTBORDERCLASS = None # Where output results get written __C.RESULT_DIR = None __C.OPTIONS = AttrDict() __C.OPTIONS.TEST_MODE = False
from __future__ import unicode_literals import os import re import torch from utils.attr_dict import AttrDict from runx.logx import logx __C = AttrDict() cfg = __C __C.GLOBAL_RANK = 0 __C.EPOCH = 0 # Absolute path to a location to keep some large files, not in this dir. __C.ASSETS_PATH = '/content/drive/MyDrive/deep_learning_pro/semantic-segmentation/assets' # Use class weighted loss per batch to increase loss for low pixel count classes per batch __C.BATCH_WEIGHTING = False # Border Relaxation Count __C.BORDER_WINDOW = 1 # Number of epoch to use before turn off border restriction __C.REDUCE_BORDER_EPOCH = -1 # Comma Seperated List of class id to relax __C.STRICTBORDERCLASS = None # Where output results get written __C.RESULT_DIR = None __C.OPTIONS = AttrDict() __C.OPTIONS.TEST_MODE = False
