本文整理汇总了Python中datasets.imdb.imdb.merge_roidbs方法的典型用法代码示例。如果您正苦于以下问题：Python imdb.merge_roidbs方法的具体用法？Python imdb.merge_roidbs怎么用？Python imdb.merge_roidbs使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类datasets.imdb.imdb的用法示例。
在下文中一共展示了imdb.merge_roidbs方法的7个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: rpn_roidb
# 需要导入模块: from datasets.imdb import imdb [as 别名]
# 或者: from datasets.imdb.imdb import merge_roidbs [as 别名]
def rpn_roidb(self):
if int(self._year) == 2007 or self._image_set != 'test':
gt_roidb = self.gt_roidb()
rpn_roidb = self._load_rpn_roidb(gt_roidb)
roidb = imdb.merge_roidbs(gt_roidb, rpn_roidb)
else:
roidb = self._load_rpn_roidb(None)
return roidb 开发者ID:Sunarker，项目名称:Collaborative-Learning-for-Weakly-Supervised-Object-Detection，代码行数:11，代码来源:pascal_voc.py
示例2: selective_search_roidb
# 需要导入模块: from datasets.imdb import imdb [as 别名]
# 或者: from datasets.imdb.imdb import merge_roidbs [as 别名]
def selective_search_roidb(self):
"""
Return the database of selective search regions of interest.
Ground-truth ROIs are also included.
This function loads/saves from/to a cache file to speed up future calls.
"""
cache_file = os.path.join(self.cache_path,
self.name + '_selective_search_roidb.pkl')
if os.path.exists(cache_file):
with open(cache_file, 'rb') as fid:
roidb = pickle.load(fid)
print('{} ss roidb loaded from {}'.format(self.name, cache_file))
return roidb
if int(self._year) == 2007 or self._image_set != 'test':
gt_roidb = self.gt_roidb()
# ss_roidb = self._load_selective_search_roidb(gt_roidb)
# roidb = datasets.imdb.merge_roidbs(gt_roidb, ss_roidb)
roidb = self._load_selective_search_roidb(gt_roidb)
else:
roidb = self._load_selective_search_roidb(None)
with open(cache_file, 'wb') as fid:
pickle.dump(roidb, fid, pickle.HIGHEST_PROTOCOL)
print('wrote ss roidb to {}'.format(cache_file))
return roidb 开发者ID:Sunarker，项目名称:Collaborative-Learning-for-Weakly-Supervised-Object-Detection，代码行数:30，代码来源:pascal_voc.py
示例3: rpn_roidb
# 需要导入模块: from datasets.imdb import imdb [as 别名]
# 或者: from datasets.imdb.imdb import merge_roidbs [as 别名]
def rpn_roidb(self):
if int(self._year) == 2007 or self._image_set != 'test':
gt_roidb = self.gt_roidb()
rpn_roidb = self._load_rpn_roidb(gt_roidb)
roidb = imdb.merge_roidbs(gt_roidb, rpn_roidb)
else:
roidb = self._load_rpn_roidb(None)
return roidb 示例4: rpn_roidb
# 需要导入模块: from datasets.imdb import imdb [as 别名]
# 或者: from datasets.imdb.imdb import merge_roidbs [as 别名]
def rpn_roidb(self):
if self._image_set != 'test':
gt_roidb = self.gt_roidb()
rpn_roidb = self._load_rpn_roidb(gt_roidb)
roidb = imdb.merge_roidbs(gt_roidb, rpn_roidb)
else:
roidb = self._load_rpn_roidb(None)
return roidb 示例5: rpn_roidb
# 需要导入模块: from datasets.imdb import imdb [as 别名]
# 或者: from datasets.imdb.imdb import merge_roidbs [as 别名]
def rpn_roidb(self):
if self._image_set != 'testing':
gt_roidb = self.gt_roidb()
rpn_roidb = self._load_rpn_roidb(gt_roidb)
roidb = imdb.merge_roidbs(gt_roidb, rpn_roidb)
else:
roidb = self._load_rpn_roidb(None)
return roidb 示例6: selective_search_roidb
# 需要导入模块: from datasets.imdb import imdb [as 别名]
# 或者: from datasets.imdb.imdb import merge_roidbs [as 别名]
def selective_search_roidb(self):
"""
Return the database of selective search regions of interest.
Ground-truth ROIs are also included.
This function loads/saves from/to a cache file to speed up future calls.
"""
cache_file = os.path.join(self.cache_path,
self.name + '_selective_search_roidb.pkl')
if os.path.exists(cache_file):
with open(cache_file, 'rb') as fid:
roidb = cPickle.load(fid)
print '{} ss roidb loaded from {}'.format(self.name, cache_file)
return roidb
if int(self._year) == 2007 or self._image_set != 'test':
gt_roidb = self.gt_roidb()
ss_roidb = self._load_selective_search_roidb(gt_roidb)
roidb = imdb.merge_roidbs(gt_roidb, ss_roidb)
else:
roidb = self._load_selective_search_roidb(None)
with open(cache_file, 'wb') as fid:
cPickle.dump(roidb, fid, cPickle.HIGHEST_PROTOCOL)
print 'wrote ss roidb to {}'.format(cache_file)
return roidb 示例7: _roidb_from_proposals
# 需要导入模块: from datasets.imdb import imdb [as 别名]
# 或者: from datasets.imdb.imdb import merge_roidbs [as 别名]
def _roidb_from_proposals(self, method):
"""
Creates a roidb from pre-computed proposals of a particular methods.
"""
top_k = self.config['top_k']
cache_file = osp.join(self.cache_path, self.name +
'_{:s}_top{:d}'.format(method, top_k) +
'_roidb.pkl')
if osp.exists(cache_file):
with open(cache_file, 'rb') as fid:
roidb = cPickle.load(fid)
print '{:s} {:s} roidb loaded from {:s}'.format(self.name, method,
cache_file)
return roidb
if self._image_set in self._gt_splits:
gt_roidb = self.gt_roidb()
method_roidb = self._load_proposals(method, gt_roidb)
roidb = imdb.merge_roidbs(gt_roidb, method_roidb)
# Make sure we don't use proposals that are contained in crowds
roidb = _filter_crowd_proposals(roidb, self.config['crowd_thresh'])
else:
roidb = self._load_proposals(method, None)
with open(cache_file, 'wb') as fid:
cPickle.dump(roidb, fid, cPickle.HIGHEST_PROTOCOL)
print 'wrote {:s} roidb to {:s}'.format(method, cache_file)
return roidb