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| author | Jules Laplace <julescarbon@gmail.com> | 2018-04-22 14:46:49 +0200 |
|---|---|---|
| committer | Jules Laplace <julescarbon@gmail.com> | 2018-04-22 14:46:49 +0200 |
| commit | 28aeac762722e464826cd9947a4e430953031f0d (patch) | |
| tree | 65e28e519e094df71f351cb2e543a43664bb3752 | |
| parent | fcf5d2cfc6774e73101f179347c066846da964b2 (diff) | |
push
| -rwxr-xr-x | run.sh | 2 | ||||
| -rw-r--r-- | test.py | 6 |
2 files changed, 4 insertions, 4 deletions
@@ -24,7 +24,7 @@ python test.py \ --dataroot "/home/lens/Desktop/thumbs/$dataset/A/train/" \ --name "$dataset" \ --start_img "/home/lens/Desktop/thumbs/$dataset/A/train/frame_1008.png" \ - --how_many 100 \ + --how_many 30 \ --model test \ --aspect_ratio 1.777777 \ --which_model_netG unet_256 \ @@ -63,15 +63,15 @@ if __name__ == '__main__': if last_im is not None: frac = 4. tmp_im = im.copy() - array_a = np.divide(im, frac) - array_b = np.divide(last_im, frac/(frac-1)) + array_a = np.multiply(im, 1/frac) + array_b = np.multiply(last_im, (frac-1)/frac) print(im.shape, array_a.shape, array_b.shape) im = np.add(array_a, array_b).clip(0, 255) last_im = tmp_im else: last_im = im.copy() print(im.shape) - image_pil = Image.fromarray(im, mode='RGB') + image_pil = Image.fromarray(im) image_pil.save(save_path) os.rename(save_path, final_path) webpage.save() |
