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| author | Jules Laplace <julescarbon@gmail.com> | 2019-01-13 00:54:13 +0100 |
|---|---|---|
| committer | Jules Laplace <julescarbon@gmail.com> | 2019-01-13 00:54:13 +0100 |
| commit | 47b6ae0f8ad2f49692222bb0c800e7ba1eb4b94b (patch) | |
| tree | 0206451c15aec72128003d0e953a55b40b81b9a8 /megapixels/app/utils | |
| parent | bb7efd0af0db8183b5b3f96ac0de1bfd9cd249ae (diff) | |
face info page
Diffstat (limited to 'megapixels/app/utils')
| -rw-r--r-- | megapixels/app/utils/im_utils.py | 12 |
1 files changed, 12 insertions, 0 deletions
diff --git a/megapixels/app/utils/im_utils.py b/megapixels/app/utils/im_utils.py index e882c67f..d36c1c32 100644 --- a/megapixels/app/utils/im_utils.py +++ b/megapixels/app/utils/im_utils.py @@ -19,7 +19,19 @@ from torch.autograd import Variable from sklearn.metrics.pairwise import cosine_similarity import datetime +def ensure_pil(im): + """Ensure image is Pillow format""" + try: + im.verify() + return im + except: + return Image.fromarray(im.astype('uint8'), 'RGB') +def ensure_np(im): + """Ensure image is numpy array""" + if type(im) == np.ndarray: + return im + return np.asarray(im, np.uint8) def num_channels(im): '''Returns number of channels in numpy.ndarray image''' |
