| # Copyright 2019 Google LLC |
| # |
| # Licensed under the Apache License, Version 2.0 (the "License"); |
| # you may not use this file except in compliance with the License. |
| # You may obtain a copy of the License at |
| # |
| # https://www.apache.org/licenses/LICENSE-2.0 |
| # |
| # Unless required by applicable law or agreed to in writing, software |
| # distributed under the License is distributed on an "AS IS" BASIS, |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| # See the License for the specific language governing permissions and |
| # limitations under the License. |
| |
| """Utils for image pre-processing before inference.""" |
| |
| from PIL import ImageOps |
| |
| |
| def ResamplingWithOriginalRatio(img, required_size, sample): |
| """Resamples the image with original ratio. |
| |
| Args: |
| img: PIL image object. |
| required_size: (width, height), required image size. |
| sample: Resampling filter on image resizing. |
| |
| Returns: |
| (image, ratio). image is a PIL image object with required_size. ratio is |
| tuple of floats means the ratio between new image's size and required |
| size. |
| """ |
| old_size = img.size |
| # Resizing image with original ratio. |
| resampling_ratio = min( |
| required_size[0] / old_size[0], |
| required_size[1] / old_size[1] |
| ) |
| new_size = ( |
| int(old_size[0] * resampling_ratio), |
| int(old_size[1] * resampling_ratio) |
| ) |
| new_img = img.resize(new_size, sample) |
| # Expand it to required size. |
| delta_w = required_size[0] - new_size[0] |
| delta_h = required_size[1] - new_size[1] |
| padding = (0, 0, delta_w, delta_h) |
| ratio = (new_size[0] / required_size[0], new_size[1] / required_size[1]) |
| return (ImageOps.expand(new_img, padding), ratio) |