Delete models

models/full-models/SEnSeIv2-DeepLabv3-S2-unambiguous/config.yaml

@@ -1,37 +0,0 @@
-NAME: SEnSeIv2-DeepLabv3-S2-unambiguous
-
-#-------------
-# Model options
-#-------------
-PATCH_SIZE: 512
-SEnSeIv2: 'models/sensei-configs/senseiv2-medium.yaml'
-MODEL_TYPE: 'DeepLabv3+'
-DEEPLAB_CONFIG: 'resnet50'
-RECOVERY_MODULE: false
-CLASSES: 4
-MULTIMODAL: false
-NUM_CHANNELS: null # Set to null for sensor independent models
-
-#----------------
-#training options (not needed for inference)
-#----------------
-EPOCHS: 70
-BATCH_SIZE: 8
-PHASES: [0, 1, 2, 45, 60, 65]
-ACCUMULATE_STEPS: [1, 1, 1, 1, 4, 8]
-LR: [0.000005, 0.00002, 0.0001, 0.00001, 0.00001, 0.000002]
-EPSILON: 0.000001
-WEIGHT_DECAY: 0.0001
-L1_REG: 0
-RECOVERY_WARMUP_STEPS: 5000
-RECOVERY_LOSS_FACTOR: 1
-LOSS: 'ambiguous_crossentropy_loss'
-
-
-#Data options
-TRAIN_DIRS:
-  - '/home/ali/data/cloud-masking/processed/S2CS12/train'
-VALID_DIRS:
-  - '/home/ali/data/cloud-masking/processed/S2CS12/valid'
-MIN_BANDS: 3
-MAX_BANDS: 13

models/full-models/SEnSeIv2-DeepLabv3-S2-unambiguous/weights.pt

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:96c36be3b6dc2da504dc3f96cdc4006cd8ee29bff48a8a50c783730404388ecd
-size 109219821

models/full-models/SEnSeIv2-SegFormerB2-S2-ambiguous/config.yaml

@@ -1,39 +0,0 @@
-NAME: SEnSeIv2-SegFormerB2-S2-ambiguous
-
-#-------------
-#Model options
-#-------------
-PATCH_SIZE: 512
-SEnSeIv2: 'models/sensei-configs/senseiv2-medium.yaml'
-MODEL_TYPE: 'Segformer'
-SEGFORMER_CONFIG: 'nvidia/mit-b2'
-RECOVERY_MODULE: false
-CLASSES: 7
-MULTIMODAL: false
-NUM_CHANNELS: null # Set to null for sensor independent models
-
-#----------------
-#training options (not needed for inference)
-#----------------
-EPOCHS: 105
-BATCH_SIZE: 8
-PHASES: [0, 1, 2, 75, 95, 110]
-ACCUMULATE_STEPS: [1, 1, 1, 1, 1, 1]
-LR: [0.000005, 0.00002, 0.0001, 0.00002, 0.00001, 0.000002]
-EPSILON: 0.000001
-WEIGHT_DECAY: 0.0001
-L1_REG: 0
-RECOVERY_WARMUP_STEPS: 10000
-RECOVERY_LOSS_FACTOR: 1
-LOSS: 'ambiguous_crossentropy_loss'
-
-# Data options
-# Note: L7Irish and L8CCA are very large, so repeat other datasets to make up for it
-# Training epochs will max out at 4000 steps, so repeating datasets beyond that just
-# changes relative frequency of each dataset appearing. 
-TRAIN_DIRS:
-  - '/home/ali/data/cloud-masking/processed/S2CS12/train'
-VALID_DIRS:
-  - '/home/ali/data/cloud-masking/processed/S2CS12/valid'
-MIN_BANDS: 3
-MAX_BANDS: 13

models/full-models/SEnSeIv2-SegFormerB2-S2-ambiguous/weights.pt

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:215580a6f516714705cf26319eba3da824cab6a67a5972cc5ae5816aa5148ceb
-size 111716650

models/full-models/SEnSeIv2-SegFormerB2-alldata-ambiguous/config.yaml

@@ -1,66 +0,0 @@
-NAME: SEnSeIv2-SegFormerB2-alldata-ambiguous
-
-#-------------
-# Model options
-#-------------
-PATCH_SIZE: 512
-SEnSeIv2: 'models/sensei-configs/senseiv2-medium.yaml'
-MODEL_TYPE: 'Segformer'
-SEGFORMER_CONFIG: 'nvidia/mit-b2'
-RECOVERY_MODULE: false
-CLASSES: 7
-MULTIMODAL: false
-NUM_CHANNELS: null # Set to null for sensor independent models
-
-#----------------
-# Training options (not needed for inference)
-#----------------
-EPOCHS: 105
-BATCH_SIZE: 8
-PHASES: [0, 1, 2, 75, 95, 110]
-ACCUMULATE_STEPS: [1, 1, 1, 1, 1, 1]
-LR: [0.000005, 0.00002, 0.0001, 0.00002, 0.00001, 0.000002]
-EPSILON: 0.000001
-WEIGHT_DECAY: 0.0001
-L1_REG: 0
-RECOVERY_WARMUP_STEPS: 10000
-RECOVERY_LOSS_FACTOR: 1
-LOSS: 'ambiguous_crossentropy_loss'
-
-#-------------
-# Data options
-# Note: L7Irish and L8CCA are very large, so repeat other datasets to make up for it
-# Training epochs will max out at 4000 steps, so repeating datasets beyond that just
-# changes relative frequency of each dataset appearing. 
-#-------------
-TRAIN_DIRS:
-  - '/home/ali/data/cloud-masking/processed/S2CS12/train'
-  - '/home/ali/data/cloud-masking/processed/S2CS12/train' # Repeat to boost sampling frequency
-  - '/home/ali/data/cloud-masking/processed/S2CS12/train'
-  - '/home/ali/data/cloud-masking/processed/S2CS12/train'
-  - '/home/ali/data/cloud-masking/processed/S2CS12/train'
-  - '/home/ali/data/cloud-masking/processed/S2IRIS'
-  - '/home/ali/data/cloud-masking/processed/S2IRIS'
-  - '/home/ali/data/cloud-masking/processed/S2IRIS'
-  - '/home/ali/data/cloud-masking/processed/S2IRIS'
-  - '/home/ali/data/cloud-masking/processed/S2IRIS'
-  - '/home/ali/data/cloud-masking/processed/S2KZ/train'
-  - '/home/ali/data/cloud-masking/processed/L8SPARCS'
-  - '/home/ali/data/cloud-masking/processed/L8SPARCS'
-  - '/home/ali/data/cloud-masking/processed/L8SPARCS'
-  - '/home/ali/data/cloud-masking/processed/L8SPARCS'
-  - '/home/ali/data/cloud-masking/processed/L8SPARCS'
-  - '/home/ali/data/cloud-masking/processed/L8SPARCS'
-  - '/home/ali/data/cloud-masking/processed/L8SPARCS'
-  - '/home/ali/data/cloud-masking/processed/L8SPARCS-60m'
-  - '/home/ali/data/cloud-masking/processed/L8SPARCS-60m'
-  - '/home/ali/data/cloud-masking/processed/L8SPARCS-60m'
-  - '/home/ali/data/cloud-masking/processed/L8SPARCS-60m'
-  - '/home/ali/data/cloud-masking/processed/L8SPARCS-60m'
-  - '/home/ali/data/cloud-masking/processed/L8CCA'
-  - '/home/ali/data/cloud-masking/processed/L7Irish'
-  - '/home/ali/data/cloud-masking/processed/CP2'
-VALID_DIRS:
-  - '/home/ali/data/cloud-masking/processed/S2CS12/valid'
-MIN_BANDS: 3
-MAX_BANDS: 13

models/full-models/SEnSeIv2-SegFormerB2-alldata-ambiguous/weights.pt

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:f43a0c23eb4b22cf09c1c0d59fc3d2f050f164f7c1a43f18e4974458926c57d9
-size 111716650

models/full-models/SegFormerB2-S2-unambiguous/config.yaml

@@ -1,38 +0,0 @@
-NAME: SegformerB2
-
-#-------------
-# Model options
-#-------------
-PATCH_SIZE: 512
-SEnSeIv2: false
-MODEL_TYPE: 'Segformer'
-SEGFORMER_CONFIG: 'nvidia/mit-b2'
-RECOVERY_MODULE: null
-MULTIMODAL: false
-NUM_CHANNELS: 13 # Set to null for sensor independent models
-CLASSES: 4
-
-#----------------
-# Training options (not needed for inference)
-#----------------
-EPOCHS: 60
-BATCH_SIZE: 8
-PHASES: [0, 1, 2, 40, 50, 55]
-ACCUMULATE_STEPS: [1, 1, 1, 1, 4, 8]
-LR: [0.000005, 0.00002, 0.0001, 0.00001, 0.00001, 0.000002]
-EPSILON: 0.000001
-WEIGHT_DECAY: 0.0001
-L1_REG: 0
-RECOVERY_WARMUP_STEPS: 0
-RECOVERY_LOSS_FACTOR: 0
-LOSS: 'ambiguous_crossentropy_loss' # Not actually ambiguous, because labels are not ambiguous
-
-#------------
-#Data options
-#------------
-TRAIN_DIRS:
-  - '/home/ali/data/cloud-masking/processed/S2CS12/train'
-VALID_DIRS:
-  - '/home/ali/data/cloud-masking/processed/S2CS12/valid'
-MIN_BANDS: null
-MAX_BANDS: null

models/full-models/SegFormerB2-S2-unambiguous/weights.pt

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:a8378575b89c7dddf237edddb9981fa6c3cccc63490976884bf527eaaf9c191e
-size 109685259

models/sensei-configs/recovery-module.yaml

@@ -1,6 +0,0 @@
-preconcatenation_layer_sizes:
-  - 256
-  - 32
-postconcatenation_layer_sizes:
-  - 32
-sampling_rate: 10

models/sensei-configs/senseiv2-medium.yaml

@@ -1,36 +0,0 @@
----
-    descriptors:
-      style: SEnSeIv2
-      N_embeddings: 32
-      final_size: 74
-    blocks:
-      - 
-        type: GLOBAL_STATS
-        percentiles:
-          - 0.01
-          - 0.1
-          - 0.5
-          - 0.9
-          - 0.99
-      -
-        type: FCL
-        layer_sizes:
-          - 128
-          - 128
-          - 128
-        skips: add
-      -
-        type: ATTENTION
-        num_transformerencoders: 2
-        intermediate_size: 256
-        num_heads: 4
-        dims_per_head: 32
-        skips: true
-        dropout: 0.2   
-      -
-        type: BAND_EMBEDDING
-        embedding_dims: 32 # number of output channels
-        head_layer_sizes:
-          - 128
-        skips_heads: false
-        normalize: true