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Python generate_anchors.generate_anchors方法代碼示例

本文整理匯總了Python中layer_utils.generate_anchors.generate_anchors方法的典型用法代碼示例。如果您正苦於以下問題:Python generate_anchors.generate_anchors方法的具體用法?Python generate_anchors.generate_anchors怎麽用?Python generate_anchors.generate_anchors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layer_utils.generate_anchors的用法示例。


在下文中一共展示了generate_anchors.generate_anchors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: generate_anchors_pre

# 需要導入模塊: from layer_utils import generate_anchors [as 別名]
# 或者: from layer_utils.generate_anchors import generate_anchors [as 別名]
def generate_anchors_pre(height, width, feat_stride, anchor_scales=(8,16,32), anchor_ratios=(0.5,1,2)):
  """ A wrapper function to generate anchors given different scales
    Also return the number of anchors in variable 'length'
  """
  anchors = generate_anchors(ratios=np.array(anchor_ratios), scales=np.array(anchor_scales))
  A = anchors.shape[0]
  shift_x = np.arange(0, width) * feat_stride
  shift_y = np.arange(0, height) * feat_stride
  shift_x, shift_y = np.meshgrid(shift_x, shift_y)
  shifts = np.vstack((shift_x.ravel(), shift_y.ravel(), shift_x.ravel(), shift_y.ravel())).transpose()
  K = shifts.shape[0]
  # width changes faster, so here it is H, W, C
  anchors = anchors.reshape((1, A, 4)) + shifts.reshape((1, K, 4)).transpose((1, 0, 2))
  anchors = anchors.reshape((K * A, 4)).astype(np.float32, copy=False)
  length = np.int32(anchors.shape[0])

  return anchors, length 
開發者ID:Sunarker,項目名稱:Collaborative-Learning-for-Weakly-Supervised-Object-Detection,代碼行數:19,代碼來源:snippets.py

示例2: generate_anchors_pre

# 需要導入模塊: from layer_utils import generate_anchors [as 別名]
# 或者: from layer_utils.generate_anchors import generate_anchors [as 別名]
def generate_anchors_pre(rpn_cls_score, feat_stride, anchor_scales=(8, 16, 32), anchor_ratios=(0.5, 1, 2)):
    """ A wrapper function to generate anchors given different scales
      Also return the number of anchors in variable 'length'
    """
    height, width = rpn_cls_score.shape[1:3]
    anchors = generate_anchors(ratios=np.array(anchor_ratios), scales=np.array(anchor_scales))
    A = anchors.shape[0]
    shift_x = np.arange(0, width) * feat_stride
    shift_y = np.arange(0, height) * feat_stride
    shift_x, shift_y = np.meshgrid(shift_x, shift_y)
    shifts = np.vstack((shift_x.ravel(), shift_y.ravel(), shift_x.ravel(), shift_y.ravel())).transpose()
    K = shifts.shape[0]
    # width changes faster, so here it is H, W, C
    anchors = anchors.reshape((1, A, 4)) + shifts.reshape((1, K, 4)).transpose((1, 0, 2))
    anchors = anchors.reshape((K * A, 4)).astype(np.float32, copy=False)
    length = np.int32(anchors.shape[0])

    return anchors, length 
開發者ID:wanjinchang,項目名稱:SSH-TensorFlow,代碼行數:20,代碼來源:snippets.py

示例3: generate_anchors_pre_tf

# 需要導入模塊: from layer_utils import generate_anchors [as 別名]
# 或者: from layer_utils.generate_anchors import generate_anchors [as 別名]
def generate_anchors_pre_tf(rpn_cls_score, feat_stride=16, anchor_scales=(8, 16, 32), anchor_ratios=(0.5, 1, 2)):
    height = tf.shape(rpn_cls_score)[1]
    width = tf.shape(rpn_cls_score)[2]
    shift_x = tf.range(width) * feat_stride  # width
    shift_y = tf.range(height) * feat_stride  # height
    shift_x, shift_y = tf.meshgrid(shift_x, shift_y)
    sx = tf.reshape(shift_x, shape=(-1,))
    sy = tf.reshape(shift_y, shape=(-1,))
    shifts = tf.transpose(tf.stack([sx, sy, sx, sy]))
    K = tf.multiply(width, height)
    shifts = tf.transpose(tf.reshape(shifts, shape=[1, K, 4]), perm=(1, 0, 2))

    anchors = generate_anchors(ratios=np.array(anchor_ratios), scales=np.array(anchor_scales))
    A = anchors.shape[0]
    anchor_constant = tf.constant(anchors.reshape((1, A, 4)), dtype=tf.int32)

    length = K * A
    anchors_tf = tf.reshape(tf.add(anchor_constant, shifts), shape=(length, 4))

    return tf.cast(anchors_tf, dtype=tf.float32), length 
開發者ID:wanjinchang,項目名稱:SSH-TensorFlow,代碼行數:22,代碼來源:snippets.py

示例4: generate_anchors_pre_tf

# 需要導入模塊: from layer_utils import generate_anchors [as 別名]
# 或者: from layer_utils.generate_anchors import generate_anchors [as 別名]
def generate_anchors_pre_tf(height, width, feat_stride=16, anchor_scales=(8, 16, 32), anchor_ratios=(0.5, 1, 2)):
  shift_x = tf.range(width) * feat_stride # width
  shift_y = tf.range(height) * feat_stride # height
  shift_x, shift_y = tf.meshgrid(shift_x, shift_y)
  sx = tf.reshape(shift_x, shape=(-1,))
  sy = tf.reshape(shift_y, shape=(-1,))
  shifts = tf.transpose(tf.stack([sx, sy, sx, sy]))
  K = tf.multiply(width, height)
  shifts = tf.transpose(tf.reshape(shifts, shape=[1, K, 4]), perm=(1, 0, 2))

  anchors = generate_anchors(ratios=np.array(anchor_ratios), scales=np.array(anchor_scales))
  A = anchors.shape[0]
  anchor_constant = tf.constant(anchors.reshape((1, A, 4)), dtype=tf.int32)

  length = K * A
  anchors_tf = tf.reshape(tf.add(anchor_constant, shifts), shape=(length, 4))
  
  return tf.cast(anchors_tf, dtype=tf.float32), length 
開發者ID:endernewton,項目名稱:tf-faster-rcnn,代碼行數:20,代碼來源:snippets.py


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