diff options
| author | Jules Laplace <julescarbon@gmail.com> | 2018-05-19 11:01:55 +0200 |
|---|---|---|
| committer | Jules Laplace <julescarbon@gmail.com> | 2018-05-19 11:01:55 +0200 |
| commit | 9288bffcfe9b6fef5ef76e0e11041444551b3b1f (patch) | |
| tree | 57871dae0369adfae250d4e70be67f86f0fe1689 | |
| parent | 1becd9c95e714e61234adef30c2efa2519869ae4 (diff) | |
fix paths
| -rw-r--r-- | test-mogrify-recursive.sh | 4 | ||||
| -rw-r--r-- | test-mogrify.py | 7 |
2 files changed, 6 insertions, 5 deletions
diff --git a/test-mogrify-recursive.sh b/test-mogrify-recursive.sh index c4f4651..232894a 100644 --- a/test-mogrify-recursive.sh +++ b/test-mogrify-recursive.sh @@ -53,7 +53,7 @@ how_many=2000 --recursive --recursive-frac 0.1 \ --sequence --sequence-frac 0.3 \ --process-frac 0.5 \ - --transition-min 0.001 \ + --transition-min 0.05 \ --how_many 10000 --transition-period 1000 \ --loadSize 256 --fineSize 256 \ --model test --which_model_netG unet_256 \ @@ -85,7 +85,7 @@ how_many=2000 --recursive --recursive-frac 0.1 \ --sequence --sequence-frac 0.3 \ --process-frac 0.5 \ - --transition-min 0.05 \ + --transition-min 0.1 \ --how_many 10000 --transition-period 1000 \ --loadSize 256 --fineSize 256 \ --model test --which_model_netG unet_256 \ diff --git a/test-mogrify.py b/test-mogrify.py index 68f279d..d01f530 100644 --- a/test-mogrify.py +++ b/test-mogrify.py @@ -205,10 +205,11 @@ if __name__ == '__main__': if data_opt.sequence and A_dir is not None: A_img = Image.open(sequence_path).convert('RGB') A_im = np.asarray(A_img) - t = lerp(math.sin(i / data_opt.transition_period * math.pi * 2 ) / 2 + 1, data_opt.transition_min, 1.0) - frac_a = data_opt.recursive_frac * (1 - t) - frac_b = data_opt.sequence_frac * (1 - t) + t = lerp(math.sin(i / data_opt.transition_period * math.pi * 2.0 ) / 2.0 + 1.0, data_opt.transition_min, 1.0) + frac_a = data_opt.recursive_frac * (1.0 - t) + frac_b = data_opt.sequence_frac * (1.0 - t) frac_c = 1.0 - frac_a - frac_b + print("{}: {}".format(i, t)) array_a = np.multiply(last_im.astype('float64'), frac_a) array_b = np.multiply(A_im.astype('float64'), frac_b) array_c = np.multiply(im.astype('float64'), frac_c) |