# Score threshold for visualization __C.VIS_TH = 0.9 # Expected results should take the form of a list of expectations, each # specified by four elements (dataset, task, metric, expected value). For # example: [['coco_2014_minival', 'box_proposal', 'AR@1000', 0.387]] __C.EXPECTED_RESULTS = [] # Absolute and relative tolerance to use when comparing to EXPECTED_RESULTS __C.EXPECTED_RESULTS_RTOL = 0.1 __C.EXPECTED_RESULTS_ATOL = 0.005 # Set to send email in case of an EXPECTED_RESULTS failure __C.EXPECTED_RESULTS_EMAIL = b'' # Models and proposals referred to by URL are downloaded to a local cache # specified by DOWNLOAD_CACHE __C.DOWNLOAD_CACHE = b'/tmp/detectron-download-cache' # ---------------------------------------------------------------------------- # # Cluster options # ---------------------------------------------------------------------------- # __C.CLUSTER = AttrDict() # Flag to indicate if the code is running in a cluster environment __C.CLUSTER.ON_CLUSTER = False # ---------------------------------------------------------------------------- # # Deprecated options # If an option is removed from the code and you don't want to break existing # yaml configs, you can add the full config key as a string to the set below.
# Score threshold for visualization __C.VIS_TH = 0.9 # Expected results should take the form of a list of expectations, each # specified by four elements (dataset, task, metric, expected value). For # example: [['coco_2014_minival', 'box_proposal', 'AR@1000', 0.387]] __C.EXPECTED_RESULTS = [] # Absolute and relative tolerance to use when comparing to EXPECTED_RESULTS __C.EXPECTED_RESULTS_RTOL = 0.1 __C.EXPECTED_RESULTS_ATOL = 0.005 # Set to send email in case of an EXPECTED_RESULTS failure __C.EXPECTED_RESULTS_EMAIL = b'' # Models and proposals referred to by URL are downloaded to a local cache # specified by DOWNLOAD_CACHE __C.DOWNLOAD_CACHE = b'/tmp/detectron-download-cache' # ---------------------------------------------------------------------------- # # Cluster options # ---------------------------------------------------------------------------- # __C.CLUSTER = AttrDict() # Flag to indicate if the code is running in a cluster environment __C.CLUSTER.ON_CLUSTER = False # ---------------------------------------------------------------------------- # # Deprecated options # If an option is removed from the code and you don't want to break existing # yaml configs, you can add the full config key as a string to the set below.
# Score threshold for visualization __C.VIS_TH = 0.9 # Expected results should take the form of a list of expectations, each # specified by four elements (dataset, task, metric, expected value). For # example: [['coco_2014_minival', 'box_proposal', 'AR@1000', 0.387]] __C.EXPECTED_RESULTS = [] # Absolute and relative tolerance to use when comparing to EXPECTED_RESULTS __C.EXPECTED_RESULTS_RTOL = 0.1 __C.EXPECTED_RESULTS_ATOL = 0.005 # Set to send email in case of an EXPECTED_RESULTS failure __C.EXPECTED_RESULTS_EMAIL = b'' # Models and proposals referred to by URL are downloaded to a local cache # specified by DOWNLOAD_CACHE __C.DOWNLOAD_CACHE = b'output/download-cache' # ---------------------------------------------------------------------------- # # Cluster options # ---------------------------------------------------------------------------- # __C.CLUSTER = AttrDict() # Flag to indicate if the code is running in a cluster environment __C.CLUSTER.ON_CLUSTER = False # ---------------------------------------------------------------------------- # # Deprecated options # If an option is removed from the code and you don't want to break existing # yaml configs, you can add the full config key as a string to the set below. # ---------------------------------------------------------------------------- # _DEPCRECATED_KEYS = set((
# Score threshold for visualization
__C.VIS_TH = 0.9
# Expected results should take the form of a list of expectations, each
# specified by four elements (dataset, task, metric, expected value). For
# example: [['coco_2014_minival', 'box_proposal', 'AR@1000', 0.387]]
__C.EXPECTED_RESULTS = []
# Absolute and relative tolerance to use when comparing to EXPECTED_RESULTS
__C.EXPECTED_RESULTS_RTOL = 0.1
__C.EXPECTED_RESULTS_ATOL = 0.005
# Set to send email in case of an EXPECTED_RESULTS failure
__C.EXPECTED_RESULTS_EMAIL = b''
# Models and proposals referred to by URL are downloaded to a local cache
# specified by DOWNLOAD_CACHE
__C.DOWNLOAD_CACHE = b'/home/victor/facebook/detectron-download-cache'
# ---------------------------------------------------------------------------- #
# Cluster options
# ---------------------------------------------------------------------------- #
__C.CLUSTER = AttrDict()
# Flag to indicate if the code is running in a cluster environment
__C.CLUSTER.ON_CLUSTER = False
# ---------------------------------------------------------------------------- #
# Deprecated options
# If an option is removed from the code and you don't want to break existing
# yaml configs, you can add the full config key as a string to the set below.
# ---------------------------------------------------------------------------- #
_DEPCRECATED_KEYS = set({
# Score threshold for visualization __C.VIS_TH = 0.9 # Expected results should take the form of a list of expectations, each # specified by four elements (dataset, task, metric, expected value). For # example: [['coco_2014_minival', 'box_proposal', 'AR@1000', 0.387]] __C.EXPECTED_RESULTS = [] # Absolute and relative tolerance to use when comparing to EXPECTED_RESULTS __C.EXPECTED_RESULTS_RTOL = 0.1 __C.EXPECTED_RESULTS_ATOL = 0.005 # Set to send email in case of an EXPECTED_RESULTS failure __C.EXPECTED_RESULTS_EMAIL = '' # Models and proposals referred to by URL are downloaded to a local cache # specified by DOWNLOAD_CACHE __C.DOWNLOAD_CACHE = b'data/cache/detectron-download-cache' # ------------------------------ # Data directory __C.DATA_DIR = osp.abspath(osp.join(__C.ROOT_DIR, 'data')) # [Deprecate] __C.POOLING_MODE = 'crop' # [Deprecate] Size of the pooled region after RoI pooling __C.POOLING_SIZE = 7 __C.CROP_RESIZE_WITH_MAX_POOL = True # [Infered value] __C.CUDA = False
# Score threshold for visualization __C.VIS_TH = 0.9 # Expected results should take the form of a list of expectations, each # specified by four elements (dataset, task, metric, expected value). For # example: [['coco_2014_minival', 'box_proposal', 'AR@1000', 0.387]] __C.EXPECTED_RESULTS = [] # Absolute and relative tolerance to use when comparing to EXPECTED_RESULTS __C.EXPECTED_RESULTS_RTOL = 0.1 __C.EXPECTED_RESULTS_ATOL = 0.005 # Set to send email in case of an EXPECTED_RESULTS failure __C.EXPECTED_RESULTS_EMAIL = b'' # Models and proposals referred to by URL are downloaded to a local cache # specified by DOWNLOAD_CACHE __C.DOWNLOAD_CACHE = b'outputs/detectron-download-cache' __C.TF_PERIOD = 180 # ---------------------------------------------------------------------------- # # Cluster options # ---------------------------------------------------------------------------- # __C.CLUSTER = AttrDict() # Flag to indicate if the code is running in a cluster environment __C.CLUSTER.ON_CLUSTER = False # ---------------------------------------------------------------------------- # # Deprecated options
