diff options
| author | Jules Laplace <julescarbon@gmail.com> | 2018-06-26 17:08:56 +0200 |
|---|---|---|
| committer | Jules Laplace <julescarbon@gmail.com> | 2018-06-26 17:08:56 +0200 |
| commit | 9a41306f1e27f40bd13d941e56559ca2240fcda2 (patch) | |
| tree | ec3cec51a146ad5bb5f722ae4adbf9248e05d62d | |
| parent | 1cf17526b0654e1ecbf4f362c5361a7b52cbbb19 (diff) | |
dataset
| -rw-r--r-- | run.py | 4 |
1 files changed, 2 insertions, 2 deletions
@@ -268,8 +268,8 @@ elif arguments_steps == 0: PIL.Image.fromarray((numpy.rollaxis(tensorOutput.clamp(0.0, 1.0).numpy(), 0, 3)[:,:,::-1] * 255.0).astype(numpy.uint8)).save(arguments_strOut) elif arguments_mixImages: print("{} => {}".format(arguments_strFirst, arguments_strSecond)) - inputFirst = load_image(os.path.join(arguments_strFirst, "frame_{:0>5}.png".format(int(a_offset)))) - inputSecond = load_image(os.path.join(arguments_strSecond, "frame_{:0>5}.png".format(int(b_offset)))) + inputFirst = load_image(os.path.join(arguments_strFirst, "frame_{:0>5}.png".format(int(arguments_aOffset)))) + inputSecond = load_image(os.path.join(arguments_strSecond, "frame_{:0>5}.png".format(int(arguments_bOffset)))) outputPath = './renders/' + arguments_strVideoOut frames = process_tree(moduleNetwork, inputFirst, inputSecond, tensorOutput, arguments_steps * arguments_dilate, arguments_dilate) frames = smooth_frames(moduleNetwork, tensorOutput, frames, arguments_smooth) |