Delete clipseg/experiments/pascal_1shot.yaml

clipseg/experiments/pascal_1shot.yaml

@@ -1,101 +0,0 @@
-configuration:
-  batch_size: 64
-  optimizer: torch.optim.AdamW
-
-  lr: 0.001
-
-  trainer: experiment_setup.train_loop
-  scorer: experiment_setup.score
-  model: models.clipseg.CLIPDensePredT
-
-  lr_scheduler: cosine
-  T_max: 20000
-  eta_min: 0.0001
-
-  max_iterations: 20000    #  <-##########################################
-  val_interval: null
-
-  # dataset
-  dataset: datasets.phrasecut.PhraseCut
-  split_mode: pascal_test
-  mode: train
-  mask: text_and_crop_blur_highlight352
-  image_size: 352
-  normalize: True
-  pre_crop_image_size: [sample, 1, 1.5]
-  aug: 1new
-  with_visual: True
-  split: train
-
-  # general
-  mix: True
-  prompt: shuffle+
-  norm_cond: True
-  mix_text_min: 0.0
-  
-  # model
-  out: 1
-  version: 'ViT-B/16'
-  extract_layers: [3, 7, 9]
-  reduce_dim: 64
-  depth: 3
-
-  loss: torch.nn.functional.binary_cross_entropy_with_logits
-  amp: True
-
-test_configuration_common:
-  normalize: True
-  image_size: 352
-  metric: metrics.FixedIntervalMetrics
-  batch_size: 1
-  test_dataset: pascal
-  sigmoid: True
-  # max_iterations: 250
-
-test_configuration: 
-
-  -
-    name: pas_t
-    mask: text
-
-  -
-    name: pas_h
-    mask: blur3_highlight01
-
-  -
-    name: pas_h2
-    mask: crop_blur_highlight352
-
-
-columns: [name,
-pas_t_fgiou_best, pas_t_miou_best,  pas_t_fgiou_ct,
-pas_h_fgiou_best, pas_h_miou_best,  pas_h_fgiou_ct,
-pas_h2_fgiou_best, pas_h2_miou_best,  pas_h2_fgiou_ct, pas_h2_fgiou_best_t,
-train_loss, duration, date
-]
-
-individual_configurations:
-
-- {name: rd64-uni-phrasepas5i-0, remove_classes: [pas5i, 0], negative_prob: 0.2, mix_text_max: 0.5, test_configuration: {splits: [0], custom_threshold: 0.24}}
-- {name: rd64-uni-phrasepas5i-1, remove_classes: [pas5i, 1], negative_prob: 0.2, mix_text_max: 0.5, test_configuration: {splits: [1], custom_threshold: 0.24}}
-- {name: rd64-uni-phrasepas5i-2, remove_classes: [pas5i, 2], negative_prob: 0.2, mix_text_max: 0.5, test_configuration: {splits: [2], custom_threshold: 0.24}}
-- {name: rd64-uni-phrasepas5i-3, remove_classes: [pas5i, 3], negative_prob: 0.2, mix_text_max: 0.5, test_configuration: {splits: [3], custom_threshold: 0.24}}
-
-
-- {name: rd64-phrasepas5i-0, remove_classes: [pas5i, 0], negative_prob: 0.0, test_configuration: {splits: [0], custom_threshold: 0.28}}
-- {name: rd64-phrasepas5i-1, remove_classes: [pas5i, 1], negative_prob: 0.0, test_configuration: {splits: [1], custom_threshold: 0.28}}
-- {name: rd64-phrasepas5i-2, remove_classes: [pas5i, 2], negative_prob: 0.0, test_configuration: {splits: [2], custom_threshold: 0.28}}
-- {name: rd64-phrasepas5i-3, remove_classes: [pas5i, 3], negative_prob: 0.0, test_configuration: {splits: [3], custom_threshold: 0.28}}
-
-
-# baseline
-- {name: bl64-phrasepas5i-0, model: models.clipseg.CLIPDenseBaseline, remove_classes: [pas5i, 0], reduce2_dim: 64, negative_prob: 0.0, test_configuration: {splits: [0], custom_threshold: 0.24}}
-- {name: bl64-phrasepas5i-1, model: models.clipseg.CLIPDenseBaseline, remove_classes: [pas5i, 1], reduce2_dim: 64, negative_prob: 0.0, test_configuration: {splits: [1], custom_threshold: 0.24}}
-- {name: bl64-phrasepas5i-2, model: models.clipseg.CLIPDenseBaseline, remove_classes: [pas5i, 2], reduce2_dim: 64, negative_prob: 0.0, test_configuration: {splits: [2], custom_threshold: 0.24}}
-- {name: bl64-phrasepas5i-3, model: models.clipseg.CLIPDenseBaseline, remove_classes: [pas5i, 3], reduce2_dim: 64, negative_prob: 0.0, test_configuration: {splits: [3], custom_threshold: 0.24}}
-
-# ViT
-- {name: vit64-uni-phrasepas5i-0, remove_classes: [pas5i, 0], model: models.vitseg.VITDensePredT, negative_prob: 0.2, mix_text_max: 0.5, lr: 0.0001, test_configuration: {splits: [0], custom_threshold: 0.02}}
-- {name: vit64-uni-phrasepas5i-1, remove_classes: [pas5i, 1], model: models.vitseg.VITDensePredT, negative_prob: 0.2, mix_text_max: 0.5, lr: 0.0001, test_configuration: {splits: [1], custom_threshold: 0.02}}
-- {name: vit64-uni-phrasepas5i-2, remove_classes: [pas5i, 2], model: models.vitseg.VITDensePredT, negative_prob: 0.2, mix_text_max: 0.5, lr: 0.0001, test_configuration: {splits: [2], custom_threshold: 0.02}}
-- {name: vit64-uni-phrasepas5i-3, remove_classes: [pas5i, 3], model: models.vitseg.VITDensePredT, negative_prob: 0.2, mix_text_max: 0.5, lr: 0.0001, test_configuration: {splits: [3], custom_threshold: 0.02}}