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| author | Jules Laplace <julescarbon@gmail.com> | 2018-11-25 22:19:57 +0100 |
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| committer | Jules Laplace <julescarbon@gmail.com> | 2018-11-25 22:19:57 +0100 |
| commit | e1fa31bfd6a938341c3a8a63f238d0952cf4b429 (patch) | |
| tree | c61394d69022c026321a28cc0cf12c99208605c1 /notes/frameworks/progress_gan.md | |
| parent | ee3d0d98e19f1d8177d85af1866fd0ee431fe9ea (diff) | |
| parent | 0529d4cd1618016319e995c37aa118bf8c2d501b (diff) | |
merge
Diffstat (limited to 'notes/frameworks/progress_gan.md')
| -rw-r--r-- | notes/frameworks/progress_gan.md | 15 |
1 files changed, 15 insertions, 0 deletions
diff --git a/notes/frameworks/progress_gan.md b/notes/frameworks/progress_gan.md new file mode 100644 index 00000000..580052a3 --- /dev/null +++ b/notes/frameworks/progress_gan.md @@ -0,0 +1,15 @@ +# Progressive GAN + +Progressive Growing of GANs for Improved Quality, Stability, and Variation<br><i>– Official TensorFlow implementation of the ICLR 2018 paper</i> + +### Start new training + +- edit `config.py` dataset path +- `desc += '-my_name'; dataset = EasyDict(tfrecord_dir='tf_dir_name'); train.mirror_augment = True;` +`python train.py` +- + +### Resume Training + +- `desc += '-my_name'; dataset = EasyDict(tfrecord_dir='512x512'); train.mirror_augment = True; train.resume_kimg = 5587.8; train.resume_run_id = 11;` +- to get `kimg`, `cat 011_yourproject/log.txt` and find latest kimg number |