本文整理匯總了Python中utils.keypoints.flip_heatmaps方法的典型用法代碼示例。如果您正苦於以下問題：Python keypoints.flip_heatmaps方法的具體用法？Python keypoints.flip_heatmaps怎麽用？Python keypoints.flip_heatmaps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_heatmaps方法的3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: im_detect_keypoints_hflip
# 需要導入模塊: from utils import keypoints [as 別名]
# 或者: from utils.keypoints import flip_heatmaps [as 別名]
def im_detect_keypoints_hflip(model, im, target_scale, target_max_size, boxes):
"""Computes keypoint predictions on the horizontally flipped image.
Function signature is the same as for im_detect_keypoints_aug.
"""
# Compute keypoints for the flipped image
im_hf = im[:, ::-1, :]
boxes_hf = box_utils.flip_boxes(boxes, im.shape[1])
blob_conv, im_scale = im_conv_body_only(model, im_hf, target_scale, target_max_size)
heatmaps_hf = im_detect_keypoints(model, im_scale, boxes_hf, blob_conv)
# Invert the predicted keypoints
heatmaps_inv = keypoint_utils.flip_heatmaps(heatmaps_hf)
return heatmaps_inv 示例2: im_detect_keypoints_hflip
# 需要導入模塊: from utils import keypoints [as 別名]
# 或者: from utils.keypoints import flip_heatmaps [as 別名]
def im_detect_keypoints_hflip(model, im, target_scale, target_max_size, boxes):
"""Computes keypoint predictions on the horizontally flipped image.
Function signature is the same as for im_detect_keypoints_aug.
"""
# Compute keypoints for the flipped image
im_hf = im[:, ::-1, :]
boxes_hf = box_utils.flip_boxes(boxes, im.shape[1])
im_scale = im_conv_body_only(model, im_hf, target_scale, target_max_size)
heatmaps_hf = im_detect_keypoints(model, im_scale, boxes_hf)
# Invert the predicted keypoints
heatmaps_inv = keypoint_utils.flip_heatmaps(heatmaps_hf)
return heatmaps_inv 示例3: im_detect_keypoints_hflip
# 需要導入模塊: from utils import keypoints [as 別名]
# 或者: from utils.keypoints import flip_heatmaps [as 別名]
def im_detect_keypoints_hflip(model, im, boxes):
"""Computes keypoint predictions on the horizontally flipped image.
Function signature is the same as for im_detect_keypoints_aug.
"""
# Compute keypoints for the flipped image
im_hf = im[:, ::-1, :]
boxes_hf = box_utils.flip_boxes(boxes, im.shape[1])
im_scales = im_conv_body_only(model, im_hf)
heatmaps_hf = im_detect_keypoints(model, im_scales, boxes_hf)
# Invert the predicted keypoints
heatmaps_inv = keypoint_utils.flip_heatmaps(heatmaps_hf)
return heatmaps_inv