Spaces:
Runtime error
Runtime error
Fabrice-TIERCELIN
commited on
Commit
•
e350a56
1
Parent(s):
3893242
Delete clipseg/experiments/phrasecut.yaml
Browse files
clipseg/experiments/phrasecut.yaml
DELETED
@@ -1,80 +0,0 @@
|
|
1 |
-
configuration:
|
2 |
-
batch_size: 64
|
3 |
-
optimizer: torch.optim.AdamW
|
4 |
-
|
5 |
-
lr: 0.001
|
6 |
-
|
7 |
-
trainer: experiment_setup.train_loop
|
8 |
-
scorer: experiment_setup.score
|
9 |
-
model: models.clipseg.CLIPDensePredT
|
10 |
-
|
11 |
-
lr_scheduler: cosine
|
12 |
-
T_max: 20000
|
13 |
-
eta_min: 0.0001
|
14 |
-
|
15 |
-
max_iterations: 20000
|
16 |
-
val_interval: null
|
17 |
-
|
18 |
-
# dataset
|
19 |
-
dataset: datasets.phrasecut.PhraseCut # <-----------------
|
20 |
-
split_mode: pascal_test
|
21 |
-
split: train
|
22 |
-
mask: text_and_crop_blur_highlight352
|
23 |
-
image_size: 352
|
24 |
-
normalize: True
|
25 |
-
pre_crop_image_size: [sample, 1, 1.5]
|
26 |
-
aug: 1new
|
27 |
-
|
28 |
-
# general
|
29 |
-
mix: False # <-----------------
|
30 |
-
prompt: shuffle+
|
31 |
-
norm_cond: True
|
32 |
-
mix_text_min: 0.0
|
33 |
-
|
34 |
-
# model
|
35 |
-
out: 1
|
36 |
-
extract_layers: [3, 7, 9]
|
37 |
-
reduce_dim: 64
|
38 |
-
depth: 3
|
39 |
-
fix_shift: False
|
40 |
-
|
41 |
-
loss: torch.nn.functional.binary_cross_entropy_with_logits
|
42 |
-
amp: True
|
43 |
-
|
44 |
-
test_configuration_common:
|
45 |
-
normalize: True
|
46 |
-
image_size: 352
|
47 |
-
batch_size: 32
|
48 |
-
# max_iterations: 5
|
49 |
-
# max_iterations: 150
|
50 |
-
|
51 |
-
test_configuration:
|
52 |
-
|
53 |
-
-
|
54 |
-
name: pc # old: phrasecut
|
55 |
-
metric: metrics.FixedIntervalMetrics
|
56 |
-
test_dataset: phrasecut
|
57 |
-
split: test
|
58 |
-
mask: text
|
59 |
-
label_support: True
|
60 |
-
sigmoid: True
|
61 |
-
|
62 |
-
|
63 |
-
columns: [i, name, pc_miou_0.3, pc_fgiou_0.3, pc_fgiou_0.5, pc_ap, duration, date]
|
64 |
-
|
65 |
-
|
66 |
-
individual_configurations:
|
67 |
-
|
68 |
-
# important ones
|
69 |
-
|
70 |
-
|
71 |
-
- {name: rd64-uni, version: 'ViT-B/16', reduce_dim: 64, with_visual: True, negative_prob: 0.2, mix: True, mix_text_max: 0.5}
|
72 |
-
|
73 |
-
# this was accedentally trained using old mask
|
74 |
-
- {name: rd128-vit16-phrasecut, version: 'ViT-B/16', reduce_dim: 128, mask: text_and_blur3_highlight01}
|
75 |
-
- {name: rd64-uni-novis, version: 'ViT-B/16', reduce_dim: 64, with_visual: False, negative_prob: 0.2, mix: False}
|
76 |
-
# this was accedentally trained using old mask
|
77 |
-
- {name: baseline3-vit16-phrasecut, model: models.clipseg.CLIPDenseBaseline, version: 'ViT-B/16', reduce_dim: 64, reduce2_dim: 64, mask: text_and_blur3_highlight01}
|
78 |
-
|
79 |
-
- {name: vit64-uni, version: 'ViT-B/16', model: models.vitseg.VITDensePredT, reduce_dim: 64, with_visual: True, only_visual: True, negative_prob: 0.2, mask: crop_blur_highlight352, lr: 0.0003}
|
80 |
-
- {name: vit64-uni-novis, version: 'ViT-B/16', model: models.vitseg.VITDensePredT, with_visual: False, reduce_dim: 64, lr: 0.0001}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|