T 7

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tf.image.flip_up_down

• 用法

flip_up_down(
    image
)

• 示例

flipped = tf.image.flip_up_down(img_data)

• tf.image.flip_left_right
• tf.image.transpose_image
• tf.image.random_flip_up_down
• tf.image.random_flip_left_right

---

tf.image.adjust_brightness

• 用法

adjust_brightness(
    image,
    delta
)

delta： 亮度增加的值；

• 示例

adjusted = tf.image.adjust_brightness(img_data, -0.5)

• tf.image.random_brightness
• tf.image.adjust_contrast
• tf.image.random_contrast
• tf.image.adjust_hue
• tf.image.random_hue
• tf.image.adjust_saturation
• tf.image.random_saturation
• tf.image.per_image_standardization

---

tf.expend_dims

• 用法

expend_dims(
    input,
    axis=None,
    name=None,
    dim=None
)

• 示例

tf.shape(tf.expand_dims(t, 0))  # [1, 2]
tf.shape(tf.expand_dims(t, 1))  # [2, 1]
tf.shape(tf.expand_dims(t, -1))  # [2, 1]

# 't2' is a tensor of shape [2, 3, 5]
tf.shape(tf.expand_dims(t2, 0))  # [1, 2, 3, 5]
tf.shape(tf.expand_dims(t2, 2))  # [2, 3, 1, 5]
tf.shape(tf.expand_dims(t2, 3))  # [2, 3, 5, 1]

---

tf.image.draw_bounding_boxes

• 用法

tf.image.draw_bounding_boxes
    images,
    boxes,
    name=None
)

images： 必须是实数类型，4-D [batch, height, width, depth]；
boxes： 3-D[batch, num_bounding_boxes, 4]；

• 示例

boxes = tf.constant([[[0.05, 0.05, 0.9, 0.7], [0.35, 0.47, 0.5, 0.56]]])
batched = tf.expand_dims(
    tf.image.convert_image_dtype(img_data, tf.float32), 0)
result = tf.image.draw_bounding_boxes(batched, boxes)

• tf.image.sample_distorted_bounding_box

sample_distorted_bounding_box(
    image_size,
    bounding_boxes,
    seed=None,
    seed2=None,
    min_object_covered=0.1,
    aspect_ratio_range=None,
    area_range=None,
    max_attempts=None,
    use_image_if_no_bounding_boxes=None,
    name=None
)

image_size： 1-D，[height, width, channels]；
bounding_boxes： 3-D，[batch, N, 4]；
min_object_covered: 截取比例；

• 示例

begin, size, bboxes = tf.image.sample_distorted_bounding_box(
    tf.shape(img_data), bounding_boxes=boxes,
    min_object_covered=0.4)

begin： 1-D，[offset_height, offset_width, 0]；
size： 1-D，[target_height, target_width, -1]；
bboxes： 3-D，[1, 1, 4]边界框；

---

tf.clip_by_value

• 用法

clip_by_value(
    t,
    clip_value_min,
    clip_value_max,
    name=None
)

• 示例

adjusted = tf.clip_by_value(image, 0.0, 1.0)

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