__C.EXPECTED_RESULTS_EMAIL = ''
# ------------------------------
# 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
__C.DEBUG = False
# [Infered value]
__C.PYTORCH_VERSION_LESS_THAN_040 = False
# ---------------------------------------------------------------------------- #
# mask heads or keypoint heads that share res5 stage weights and
# training forward computation with box head.
# ---------------------------------------------------------------------------- #
_SHARE_RES5_HEADS = set(
[
'mask_rcnn_heads.mask_rcnn_fcn_head_v0upshare',
]
)
__C.EXPECTED_RESULTS_EMAIL = ''
# ------------------------------
# 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
__C.DEBUG = False
# [Infered value]
__C.PYTORCH_VERSION_LESS_THAN_040 = False
# ---------------------------------------------------------------------------- #
# mask heads or keypoint heads that share res5 stage weights and
# training forward computation with box head.
# ---------------------------------------------------------------------------- #
_SHARE_RES5_HEADS = set([
'mask_rcnn_heads.mask_rcnn_fcn_head_v0upshare',
])
# ------------------------------
# Data directory
__C.DATA_DIR = osp.abspath(
osp.join(__C.ROOT_DIR, 'preprocess/dataset/iSAID_patches'))
# [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 = True
__C.DEBUG = False
# [Infered value]
__C.PYTORCH_VERSION_LESS_THAN_040 = False
# ---------------------------------------------------------------------------- #
# mask heads or keypoint heads that share res5 stage weights and
# training forward computation with box head.
# ---------------------------------------------------------------------------- #
_SHARE_RES5_HEADS = set([
'mask_rcnn_heads.mask_rcnn_fcn_head_v0upshare',
])
