stylegan3/Snapshot_images.ipynb

Overview of snapshots¶

In [1]:

%run ThisPlaceDoesExist.ipynb

In [3]:

import tabulate
tabulate.tabulate([{"idx": i, **run.get_summary()} for i, run in enumerate(runs)], tablefmt='html', headers="keys", colalign=("left","left"))

Out[3]:

idx	nr	dataset	conditional	resolution	gamma	duration	iterations	last_fid
0	00001	paris3	True	256	8.2	3 days, 10:34:26	2600	502.277
1	00002	paris3	True	256	2	5 days, 3:43:08	6560	190.346
2	00003	paris3	True	256	2	18 days, 13:01:50	25000	42.9661
3	00004	paris3	False	256	2	15 days, 16:13:20	22800	15.6691
4	00009	paris3-1024.zip	False	1024	32	0:00:00	0	549.99
5	00010	paris3-1024.zip	False	1024	32	50 days, 3:15:24	15200	33.2466
6	00011	paris3-1024.zip	False	1024	10	5 days, 18:48:04	1760	200.356
7	00014	paris3-cropped-256	False	256	8	2 days, 20:08:22	4160	20.1699
8	00016	paris3-cropped-256	False	256	8	12 days, 16:48:33	18560	18.1838
9	00022	VLoD-cropped2048-scaled1024	False	1024	32	0:00:00	0	539.38
10	00023	VLoD-cropped2048-scaled1024	False	1024	32	1 day, 13:17:19	480	201.189
11	00024	VLoD-cropped2048-scaled1024	False	1024	32	13 days, 1:04:11	4000	65.2584
12	00025	VLoD-cropped2048-scaled1024	False	1024	16	19 days, 8:47:32	5920	391.724

In [ ]:

print(len(runs[-1].snapshots))
display(
    runs[8].snapshots[-80].time.isoformat(),
    runs[8].snapshots[-80].get_preview_img(7,1),
    runs[8].snapshots[-30].time.isoformat(),
    runs[8].snapshots[-30].get_preview_img(7,1),
    
    runs[8].snapshots[-20].time.isoformat(),
    runs[8].snapshots[-20].get_preview_img(7,1),
    
    runs[8].snapshots[-5].time.isoformat(),
    runs[8].snapshots[-5].get_preview_img(7,1),
    
    runs[8].snapshots[-2].time.isoformat(),
    runs[8].snapshots[-2].get_preview_img(7,1),
    
    runs[8].snapshots[-1].time.isoformat(),
    runs[8].snapshots[-1].get_preview_img(7,3)
)

In [ ]:

runs[-1].snapshots[-5].get_preview_img(7,2)