Delete clipseg/experiments/coco.yaml

clipseg/experiments/coco.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.coco_wrapper.COCOWrapper
-  # split_mode: pascal_test
-  split: train
-  mask: text_and_blur3_highlight01
-  image_size: 352
-  normalize: True
-  pre_crop_image_size: [sample, 1, 1.5]
-  aug: 1new
-
-  # general
-  mix: True
-  prompt: shuffle+
-  norm_cond: True
-  mix_text_min: 0.0
-  
-  # model
-  out: 1
-  extract_layers: [3, 7, 9]
-  reduce_dim: 64
-  depth: 3
-  fix_shift: False
-
-  loss: torch.nn.functional.binary_cross_entropy_with_logits
-  amp: True
-
-test_configuration_common:
-  normalize: True
-  image_size: 352
-  # max_iterations: 10
-  batch_size: 8
-  sigmoid: True
-  test_dataset: coco
-  metric: metrics.FixedIntervalMetrics
-
-test_configuration: 
-
-  -
-    name: coco_t
-    mask: text
-    
-  -
-    name: coco_h
-    mask: blur3_highlight01
-
-  -
-    name: coco_h2
-    mask: crop_blur_highlight352
-
-
-columns: [i, name,
-coco_t_fgiou_best, coco_t_miou_best,  coco_t_fgiou_0.5, 
-coco_h_fgiou_best, coco_h_miou_best,  coco_h_fgiou_0.5,
-coco_h2_fgiou_best, coco_h2_miou_best,  coco_h2_fgiou_0.5, coco_h2_fgiou_best_t,
-train_loss, duration, date
-]
-
-individual_configurations:
-
-
-- {name: rd64-7K-vit16-cbh-coco-0, version: 'ViT-B/16', fold: 0, reduce_dim: 64, mask: text_and_crop_blur_highlight352, T_max: 7000, max_iterations: 7000}
-- {name: rd64-7K-vit16-cbh-coco-1, version: 'ViT-B/16', fold: 1, reduce_dim: 64, mask: text_and_crop_blur_highlight352, T_max: 7000, max_iterations: 7000}
-- {name: rd64-7K-vit16-cbh-coco-2, version: 'ViT-B/16', fold: 2, reduce_dim: 64, mask: text_and_crop_blur_highlight352, T_max: 7000, max_iterations: 7000}
-- {name: rd64-7K-vit16-cbh-coco-3, version: 'ViT-B/16', fold: 3, reduce_dim: 64, mask: text_and_crop_blur_highlight352, T_max: 7000, max_iterations: 7000}
-
-
-- {name: rd64-7K-vit16-cbh-neg0.2-coco-0, version: 'ViT-B/16', negative_prob: 0.2, fold: 0, reduce_dim: 64, mask: text_and_crop_blur_highlight352, T_max: 7000, max_iterations: 7000}
-- {name: rd64-7K-vit16-cbh-neg0.2-coco-1, version: 'ViT-B/16', negative_prob: 0.2, fold: 1, reduce_dim: 64, mask: text_and_crop_blur_highlight352, T_max: 7000, max_iterations: 7000}
-- {name: rd64-7K-vit16-cbh-neg0.2-coco-2, version: 'ViT-B/16', negative_prob: 0.2, fold: 2, reduce_dim: 64, mask: text_and_crop_blur_highlight352, T_max: 7000, max_iterations: 7000}
-- {name: rd64-7K-vit16-cbh-neg0.2-coco-3, version: 'ViT-B/16', negative_prob: 0.2, fold: 3, reduce_dim: 64, mask: text_and_crop_blur_highlight352, T_max: 7000, max_iterations: 7000}
-
-
-# ViT
-- {name: vit64-7K-vit16-cbh-coco-0, version: 'ViT-B/16', model: models.vitseg.VITDensePredT, fold: 0, reduce_dim: 64, mask: text_and_crop_blur_highlight352, T_max: 7000, max_iterations: 7000, lr: 0.0001}
-- {name: vit64-7K-vit16-cbh-coco-1, version: 'ViT-B/16', model: models.vitseg.VITDensePredT, fold: 1, reduce_dim: 64, mask: text_and_crop_blur_highlight352, T_max: 7000, max_iterations: 7000, lr: 0.0001}
-- {name: vit64-7K-vit16-cbh-coco-2, version: 'ViT-B/16', model: models.vitseg.VITDensePredT, fold: 2, reduce_dim: 64, mask: text_and_crop_blur_highlight352, T_max: 7000, max_iterations: 7000, lr: 0.0001}
-- {name: vit64-7K-vit16-cbh-coco-3, version: 'ViT-B/16', model: models.vitseg.VITDensePredT, fold: 3, reduce_dim: 64, mask: text_and_crop_blur_highlight352, T_max: 7000, max_iterations: 7000, lr: 0.0001}
-
-
-# BASELINE
-- {name: bl64-7K-vit16-cbh-neg0.2-coco-0, model: models.clipseg.CLIPDenseBaseline, reduce2_dim: 64, version: 'ViT-B/16', negative_prob: 0.2, fold: 0, reduce_dim: 64, mask: text_and_crop_blur_highlight352, T_max: 7000, max_iterations: 7000}
-- {name: bl64-7K-vit16-cbh-neg0.2-coco-1, model: models.clipseg.CLIPDenseBaseline, reduce2_dim: 64, version: 'ViT-B/16', negative_prob: 0.2, fold: 1, reduce_dim: 64, mask: text_and_crop_blur_highlight352, T_max: 7000, max_iterations: 7000}
-- {name: bl64-7K-vit16-cbh-neg0.2-coco-2, model: models.clipseg.CLIPDenseBaseline, reduce2_dim: 64, version: 'ViT-B/16', negative_prob: 0.2, fold: 2, reduce_dim: 64, mask: text_and_crop_blur_highlight352, T_max: 7000, max_iterations: 7000}
-- {name: bl64-7K-vit16-cbh-neg0.2-coco-3, model: models.clipseg.CLIPDenseBaseline, reduce2_dim: 64, version: 'ViT-B/16', negative_prob: 0.2, fold: 3, reduce_dim: 64, mask: text_and_crop_blur_highlight352, T_max: 7000, max_iterations: 7000}