本文整理匯總了Python中utils.keypoints.flip_keypoints方法的典型用法代碼示例。如果您正苦於以下問題：Python keypoints.flip_keypoints方法的具體用法？Python keypoints.flip_keypoints怎麽用？Python keypoints.flip_keypoints使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類utils.keypoints的用法示例。
在下文中一共展示了keypoints.flip_keypoints方法的4個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: extend_with_flipped_entries
# 需要導入模塊: from utils import keypoints [as 別名]
# 或者: from utils.keypoints import flip_keypoints [as 別名]
def extend_with_flipped_entries(roidb, dataset):
flipped_roidb = []
for entry in roidb:
width = entry['width']
boxes = entry['boxes'].copy()
oldx1 = boxes[:, 0].copy()
oldx2 = boxes[:, 2].copy()
boxes[:, 0] = width - oldx2 - 1
boxes[:, 2] = width - oldx1 - 1
assert (boxes[:, 2] >= boxes[:, 0]).all()
flipped_entry = {}
dont_copy = ('boxes', 'segms', 'gt_keypoints', 'flipped')
for k, v in entry.items():
if k not in dont_copy:
flipped_entry[k] = v
flipped_entry['boxes'] = boxes
flipped_entry['segms'] = segm_utils.flip_segms(
entry['segms'], entry['width'])
if dataset.keypoints is not None:
flipped_entry['gt_keypoints'] = keypoint_utils.flip_keypoints(
dataset.keypoints, dataset.keypoint_flip_map,
entry['gt_keypoints'], entry['width'])
flipped_entry['flipped'] = True
flipped_roidb.append(flipped_entry)
roidb.extend(flipped_roidb) 示例2: extend_with_flipped_entries
# 需要導入模塊: from utils import keypoints [as 別名]
# 或者: from utils.keypoints import flip_keypoints [as 別名]
def extend_with_flipped_entries(roidb, dataset):
"""Flip each entry in the given roidb and return a new roidb that is the
concatenation of the original roidb and the flipped entries.
"Flipping" an entry means that that image and associated metadata (e.g.,
ground truth boxes and object proposals) are horizontally flipped.
"""
flipped_roidb = []
for entry in roidb:
width = entry['width']
boxes = entry['boxes'].copy()
oldx1 = boxes[:, 0].copy()
oldx2 = boxes[:, 2].copy()
boxes[:, 0] = width - oldx2 - 1
boxes[:, 2] = width - oldx1 - 1
assert (boxes[:, 2] >= boxes[:, 0]).all()
flipped_entry = {}
dont_copy = ('boxes', 'segms', 'gt_keypoints', 'flipped')
for k, v in entry.items():
if k not in dont_copy:
flipped_entry[k] = v
flipped_entry['boxes'] = boxes
flipped_entry['segms'] = segm_utils.flip_segms(
entry['segms'], entry['height'], entry['width']
)
if dataset.keypoints is not None:
flipped_entry['gt_keypoints'] = keypoint_utils.flip_keypoints(
dataset.keypoints, dataset.keypoint_flip_map,
entry['gt_keypoints'], entry['width']
)
flipped_entry['flipped'] = True
flipped_roidb.append(flipped_entry)
roidb.extend(flipped_roidb) 示例3: extend_with_flipped_entries
# 需要導入模塊: from utils import keypoints [as 別名]
# 或者: from utils.keypoints import flip_keypoints [as 別名]
def extend_with_flipped_entries(roidb, dataset):
"""Flip each entry in the given roidb and return a new roidb that is the
concatenation of the original roidb and the flipped entries.
"Flipping" an entry means that that image and associated metadata (e.g.,
ground truth boxes and object proposals) are horizontally flipped.
"""
flipped_roidb = []
for entry in roidb:
width = entry['width']
boxes = entry['boxes'].copy()
oldx1 = boxes[:, 0].copy()
oldx2 = boxes[:, 2].copy()
boxes[:, 0] = width - oldx2 - 1
boxes[:, 2] = width - oldx1 - 1
assert (boxes[:, 2] >= boxes[:, 0]).all()
polygons = entry['polygons'].copy()
polygons = flip_polygons(polygons, entry['width'])
charboxes = entry['charboxes'].copy()
charboxes = flip_polygons(charboxes, entry['width'])
words = [flip_word(x) for x in entry['words']]
flipped_entry = {}
dont_copy = ('boxes', 'segms', 'gt_keypoints', 'flipped', 'polygons', 'charboxes', 'words')
for k, v in entry.items():
if k not in dont_copy:
flipped_entry[k] = v
flipped_entry['boxes'] = boxes
flipped_entry['segms'] = segm_utils.flip_segms(
entry['segms'], entry['height'], entry['width']
)
flipped_entry['polygons'] = polygons
flipped_entry['charboxes'] = charboxes
flipped_entry['words'] = words
if dataset.keypoints is not None:
flipped_entry['gt_keypoints'] = keypoint_utils.flip_keypoints(
dataset.keypoints, dataset.keypoint_flip_map,
entry['gt_keypoints'], entry['width']
)
flipped_entry['flipped'] = True
flipped_roidb.append(flipped_entry)
roidb.extend(flipped_roidb) 示例4: extend_with_flipped_entries
# 需要導入模塊: from utils import keypoints [as 別名]
# 或者: from utils.keypoints import flip_keypoints [as 別名]
def extend_with_flipped_entries(roidb, dataset):
"""Flip each entry in the given roidb and return a new roidb that is the
concatenation of the original roidb and the flipped entries.
"Flipping" an entry means that that image and associated metadata (e.g.,
ground truth boxes and object proposals) are horizontally flipped.
"""
# import ipdb; ipdb.set_trace()
flipped_roidb = []
for entry in roidb:
entry['flipped'] = False
width = entry['width']
boxes = entry['boxes'].copy()
precomp_boxes = entry['precomp_boxes'].copy()
oldx1 = boxes[:, 0].copy()
oldx2 = boxes[:, 2].copy()
precomp_boxes_x1 = precomp_boxes[:, 0].copy()
precomp_boxes_x2 = precomp_boxes[:, 2].copy()
boxes[:, 0] = width - oldx2 - 1
boxes[:, 2] = width - oldx1 - 1
precomp_boxes[:, 0] = width - precomp_boxes_x2 - 1
precomp_boxes[:, 2] = width - precomp_boxes_x1 - 1
assert (boxes[:, 2] >= boxes[:, 0]).all()
flipped_entry = {}
dont_copy = ('boxes', 'segms', 'gt_keypoints', 'flipped', 'precomp_boxes')
for k, v in entry.items():
if k not in dont_copy:
flipped_entry[k] = v
flipped_entry['boxes'] = boxes
flipped_entry['precomp_boxes'] = precomp_boxes
flipped_entry['segms'] = segm_utils.flip_segms(
entry['segms'], entry['height'], entry['width']
)
if dataset.keypoints is not None:
flipped_entry['gt_keypoints'] = keypoint_utils.flip_keypoints(
dataset.keypoints, dataset.keypoint_flip_map,
entry['gt_keypoints'], entry['width']
)
flipped_entry['precomp_keypoints'] = keypoint_utils.flip_keypoints(
dataset.keypoints, dataset.keypoint_flip_map,
entry['precomp_keypoints'], entry['width']
)
flipped_entry['flipped'] = True
flipped_roidb.append(flipped_entry)
roidb.extend(flipped_roidb)