本文整理汇总了Python中utils.keypoints.flip_keypoints方法的典型用法代码示例。如果您正苦于以下问题：Python keypoints.flip_keypoints方法的具体用法？Python keypoints.flip_keypoints怎么用？Python keypoints.flip_keypoints使用的例子？那么恭喜您, 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utils.keypoints的用法示例。
在下文中一共展示了keypoints.flip_keypoints方法的4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: extend_with_flipped_entries
# 需要导入模块: from utils import keypoints [as 别名]
# 或者: from utils.keypoints import flip_keypoints [as 别名]
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
# 需要导入模块: from utils import keypoints [as 别名]
# 或者: from utils.keypoints import flip_keypoints [as 别名]
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
# 需要导入模块: from utils import keypoints [as 别名]
# 或者: from utils.keypoints import flip_keypoints [as 别名]
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
# 需要导入模块: from utils import keypoints [as 别名]
# 或者: from utils.keypoints import flip_keypoints [as 别名]
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)