App Engine 裁剪为特定宽度和高度

发布于 2024-08-15 05:15:46 字数 1904 浏览 6 评论 0原文

我需要调整图像大小并将图像裁剪为特定的宽度和高度。我能够构造一种方法来创建方形缩略图,但当所需的缩略图不是方形时,我不确定如何应用它。

def rescale(data, width, height):
"""Rescale the given image, optionally cropping it to make sure the result image has the specified width and height."""
from google.appengine.api import images

new_width = width
new_height = height

img = images.Image(data)

org_width, org_height = img.width, img.height

# We must determine if the image is portrait or landscape
# Landscape
if org_width > org_height:
    # With the Landscape image we want the crop to be centered. We must find the
    # height to width ratio of the image and Convert the denominater to a float
    # so that ratio will be a decemal point. The ratio is the percentage of the image
    # that will remain.
    ratio = org_height / float(org_width)
    # To find the percentage of the image that will be removed we subtract the ratio
    # from 1 By dividing this number by 2 we find the percentage that should be
    # removed from each side this is also our left_x coordinate
    left_x = (1- ratio) / 2
    # By subtract the left_x from 1 we find the right_x coordinate
    right_x = 1 - left_x
    # crop(image_data, left_x, top_y, right_x, bottom_y), output_encoding=images.PNG)
    img.crop(left_x, 0.0, right_x, 1.0)
    # resize(image_data, width=0, height=0, output_encoding=images.PNG)
    img.resize(height=height)
# Portrait
elif org_width < org_height:
    ratio = org_width / float(org_height)
    # crop(image_data, left_x, top_y, right_x, bottom_y), output_encoding=images.PNG)
    img.crop(0.0, 0.0, 1.0, ratio)
    # resize(image_data, width=0, height=0, output_encoding=images.PNG)
    img.resize(width=witdh)

thumbnail = img.execute_transforms()
return thumbnail

如果有更好的方法来做到这一点,请告诉我。任何帮助将不胜感激。

这是解释所需过程的图表。 crop_diagram

谢谢,

凯尔

I need to resize and crop an image to a specific width and height. I was able to construct a method that will create a square thumbnail, but I'm unsure on how to apply this, when the desired thumbnail is not square.

def rescale(data, width, height):
"""Rescale the given image, optionally cropping it to make sure the result image has the specified width and height."""
from google.appengine.api import images

new_width = width
new_height = height

img = images.Image(data)

org_width, org_height = img.width, img.height

# We must determine if the image is portrait or landscape
# Landscape
if org_width > org_height:
    # With the Landscape image we want the crop to be centered. We must find the
    # height to width ratio of the image and Convert the denominater to a float
    # so that ratio will be a decemal point. The ratio is the percentage of the image
    # that will remain.
    ratio = org_height / float(org_width)
    # To find the percentage of the image that will be removed we subtract the ratio
    # from 1 By dividing this number by 2 we find the percentage that should be
    # removed from each side this is also our left_x coordinate
    left_x = (1- ratio) / 2
    # By subtract the left_x from 1 we find the right_x coordinate
    right_x = 1 - left_x
    # crop(image_data, left_x, top_y, right_x, bottom_y), output_encoding=images.PNG)
    img.crop(left_x, 0.0, right_x, 1.0)
    # resize(image_data, width=0, height=0, output_encoding=images.PNG)
    img.resize(height=height)
# Portrait
elif org_width < org_height:
    ratio = org_width / float(org_height)
    # crop(image_data, left_x, top_y, right_x, bottom_y), output_encoding=images.PNG)
    img.crop(0.0, 0.0, 1.0, ratio)
    # resize(image_data, width=0, height=0, output_encoding=images.PNG)
    img.resize(width=witdh)

thumbnail = img.execute_transforms()
return thumbnail

If there is a better way to do this please let me know. Any help would be greatly appreciated.

Here's a diagram explaining the desired process.
crop_diagram

Thanks,

Kyle

如果你对这篇内容有疑问,欢迎到本站社区发帖提问 参与讨论,获取更多帮助,或者扫码二维码加入 Web 技术交流群。

扫码二维码加入Web技术交流群

发布评论

需要 登录 才能够评论, 你可以免费 注册 一个本站的账号。

评论(2

小草泠泠 2024-08-22 05:15:46

我遇到了类似的问题(你的屏幕截图非常有用)。这是我的解决方案:

def rescale(img_data, width, height, halign='middle', valign='middle'):
  """Resize then optionally crop a given image.

  Attributes:
    img_data: The image data
    width: The desired width
    height: The desired height
    halign: Acts like photoshop's 'Canvas Size' function, horizontally
            aligning the crop to left, middle or right
    valign: Verticallly aligns the crop to top, middle or bottom

  """
  image = images.Image(img_data)

  desired_wh_ratio = float(width) / float(height)
  wh_ratio = float(image.width) / float(image.height)

  if desired_wh_ratio > wh_ratio:
    # resize to width, then crop to height
    image.resize(width=width)
    image.execute_transforms()
    trim_y = (float(image.height - height) / 2) / image.height
    if valign == 'top':
      image.crop(0.0, 0.0, 1.0, 1 - (2 * trim_y))
    elif valign == 'bottom':
      image.crop(0.0, (2 * trim_y), 1.0, 1.0)
    else:
      image.crop(0.0, trim_y, 1.0, 1 - trim_y)
  else:
    # resize to height, then crop to width
    image.resize(height=height)
    image.execute_transforms()
    trim_x = (float(image.width - width) / 2) / image.width
    if halign == 'left':
      image.crop(0.0, 0.0, 1 - (2 * trim_x), 1.0)
    elif halign == 'right':
      image.crop((2 * trim_x), 0.0, 1.0, 1.0)
    else:
      image.crop(trim_x, 0.0, 1 - trim_x, 1.0)

  return image.execute_transforms()

I had a similar problem (your screenshot was very useful). This is my solution:

def rescale(img_data, width, height, halign='middle', valign='middle'):
  """Resize then optionally crop a given image.

  Attributes:
    img_data: The image data
    width: The desired width
    height: The desired height
    halign: Acts like photoshop's 'Canvas Size' function, horizontally
            aligning the crop to left, middle or right
    valign: Verticallly aligns the crop to top, middle or bottom

  """
  image = images.Image(img_data)

  desired_wh_ratio = float(width) / float(height)
  wh_ratio = float(image.width) / float(image.height)

  if desired_wh_ratio > wh_ratio:
    # resize to width, then crop to height
    image.resize(width=width)
    image.execute_transforms()
    trim_y = (float(image.height - height) / 2) / image.height
    if valign == 'top':
      image.crop(0.0, 0.0, 1.0, 1 - (2 * trim_y))
    elif valign == 'bottom':
      image.crop(0.0, (2 * trim_y), 1.0, 1.0)
    else:
      image.crop(0.0, trim_y, 1.0, 1 - trim_y)
  else:
    # resize to height, then crop to width
    image.resize(height=height)
    image.execute_transforms()
    trim_x = (float(image.width - width) / 2) / image.width
    if halign == 'left':
      image.crop(0.0, 0.0, 1 - (2 * trim_x), 1.0)
    elif halign == 'right':
      image.crop((2 * trim_x), 0.0, 1.0, 1.0)
    else:
      image.crop(trim_x, 0.0, 1 - trim_x, 1.0)

  return image.execute_transforms()
能怎样 2024-08-22 05:15:46

您可以指定 height width 参数来调整 resize ——它不会改变宽高比(您不能使用 GAE 的 images 模块来实现这一点),但它将确保两个维度中的每一个都 <= 您指定的对应值(事实上,一个将完全等于到您指定的值,另一个将为 <=)。

我不确定为什么你要先裁剪然后调整大小 - 似乎你应该以相反的方式做事......调整大小,以便尽可能多的原始图像“适合”可行,然后裁剪以确保精确的结果尺寸。 (因此,如果我正确理解您的要求,您不会使用原始提供的高度和宽度值来调整大小 - 您会将它们放大,这样生成的图像就不会“浪费”,也称为“空白”)。所以也许我不明白你到底需要什么——你能提供一个例子吗(处理前图像的URL、处理后图像的样子,以及你要传递的参数的详细信息) ?

You can specify both height and width parameters to resize -- it will not change the aspect ratio (you cannot do that with GAE's images module), but it will ensure that each of the two dimensions is <= the corresponding value you specify (in fact, one will be exactly equal to the value you specify, the other one will be <=).

I'm not sure why you're cropping first and resizing later -- it seems like you should do things the other way around... resize so that as much of the original image "fits" as is feasible, then crop to ensure exact resulting dimension. (So you wouldn't use the original provided values of height and width for the resize -- you'd scale them up so that none of the resulting image is "wasted" aka "blank", if I understand your requirements correctly). So maybe I'm not understanding exactly what you require -- could you provide an example (URLs to an image as it looks before the processing, to how it should look after the processing, and details of the parameters you'd be passing)?

~没有更多了~
我们使用 Cookies 和其他技术来定制您的体验包括您的登录状态等。通过阅读我们的 隐私政策 了解更多相关信息。 单击 接受 或继续使用网站,即表示您同意使用 Cookies 和您的相关数据。
原文