1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
|
from os.path import join
from app.utils.file_utils import write_json
def save_params_latent(fp_out_dir, tag):
data = {
"tag": tag,
"decay_n": 2,
"features": True,
"clip": 1.0,
"stochastic_clipping": False,
"clipping": False,
"dataset": "inverses/{}/dataset.hdf5".format(tag),
"inv_layer": "latent",
"decay_lr": True,
"inv_it": 15000,
"generator_path": "https://tfhub.dev/deepmind/biggan-512/2",
"attention_map_layer": "Generator_2/attention/Softmax:0",
"pre_trained_latent": False,
"lambda_dist": 0.0,
"likeli_loss": True,
"init_hi": 0.001,
"lr": 0.1,
"norm_loss": False,
"generator_fixed_inputs": {
"truncation": 1.0
},
"log_z_norm": True,
"feature_extractor_path": "https://tfhub.dev/google/imagenet/inception_v3/feature_vector/1",
"mse": True,
"custom_grad_relu": False,
"random_label": False,
"lambda_feat": 1.0,
"init_gen_dist": False,
"log_activation_layer": "Generator_2/GBlock/Relu:0",
"batch_size": 4,
"fixed_z": False,
"feature_extractor_output": "InceptionV3/Mixed_7a",
"init_lo": -0.001,
"lambda_mse": 1.0,
"lambda_reg": 0.1,
"dist_loss": False,
"sample_size": 4,
"dataset": "inverses/{}/dataset.encodings.hdf5".format(tag),
"save_progress": True,
}
fp_out_fn = join(fp_out_dir, "params_latent.json")
write_json(data, fp_out_fn)
def save_params_dense(fp_out_dir, tag):
data = {
"tag": tag,
"decay_n": 2,
"features": True,
"clip": 1.0,
"stochastic_clipping": False,
"clipping": False,
"dataset": "inverses/{}/dataset.encodings.hdf5".format(tag),
"inv_layer": "Generator_2/G_Z/Reshape:0",
"decay_lr": True,
"inv_it": 15000,
"generator_path": "https://tfhub.dev/deepmind/biggan-512/2",
"attention_map_layer": "Generator_2/attention/Softmax:0",
"pre_trained_latent": True,
"lambda_dist": 10.0,
"likeli_loss": False,
"init_hi": 0.001,
"lr": 0.01,
"norm_loss": False,
"generator_fixed_inputs": {
"truncation": 1.0
},
"log_z_norm": False,
"feature_extractor_path": "https://tfhub.dev/google/imagenet/inception_v3/feature_vector/1",
"mse": True,
"custom_grad_relu": False,
"random_label": False,
"lambda_feat": 1.0,
"init_gen_dist": False,
"log_activation_layer": "Generator_2/GBlock/Relu:0",
"batch_size": 4,
"fixed_z": True,
"feature_extractor_output": "InceptionV3/Mixed_7a",
"init_lo": -0.001,
"lambda_mse": 1.0,
"lambda_reg": 0.1,
"dist_loss": True,
"sample_size": 4,
"dataset": "inverses/{}/dataset.encodings.dense.hdf5".format(tag),
"save_progress": True,
}
fp_out_fn = join(fp_out_dir, "params_dense.json")
write_json(data, fp_out_fn)
|
