minerva
Source Documentation 📙:
datasets
logger
tasks
modelio
optimisers
pytorchtools
samplers
scheduler
trainer
transforms
models
utils
Guides and Information 📗:
User Guides
Glossary
minerva
Index
Index
A
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B
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C
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D
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E
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F
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G
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H
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I
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K
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L
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M
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N
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O
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P
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R
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S
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T
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U
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V
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W
A
autoencoder_io() (in module modelio)
AutoNorm (class in transforms)
avgpool (ResNet attribute)
B
backbone (FCN attribute)
(MinervaBackbone attribute)
(MinervaSiamese attribute)
(SimCLR attribute)
(SimConv attribute)
(SimSiam attribute)
(UNetR attribute)
backbone_name (FCN attribute)
(SimCLR attribute)
(SimConv attribute)
(SimSiam attribute)
(UNetR attribute)
balance (built-in variable)
BAND_IDS (in module utils.utils)
base_width (ResNet attribute)
batch_flatten() (in module utils.utils)
batch_size (built-in variable)
(MinervaStepLogger attribute)
(MinervaTaskLogger attribute)
(SSLTaskLogger attribute)
(SupervisedTaskLogger attribute)
best_score (EarlyStopping attribute)
bilinear (UNet attribute)
bilinear_init() (in module models.core)
block_type (ResNet101 attribute)
(ResNet152 attribute)
(ResNet50 attribute)
(ResNetX attribute)
,
[1]
bn1 (DCN attribute)
(ResNet attribute)
C
cache_dir (built-in variable)
CACHE_DIR (in module utils.utils)
calc_metrics() (MinervaTaskLogger method)
calc_miou (SupervisedStepLogger attribute)
calc_norm (built-in variable)
calc_norm_euc_dist() (in module utils.utils)
change_detection_io() (in module modelio)
ChangeDetector (class in models.change_detector)
channels (SelectChannels attribute)
(ToRGB attribute)
check_dict_key() (in module utils.utils)
check_len() (in module utils.utils)
check_optional_import_exist() (in module utils.utils)
check_substrings_in_string() (in module utils.utils)
check_test_empty() (in module utils.utils)
check_within_bounds() (in module utils.utils)
class_dist_transform() (in module utils.utils)
class_frac() (in module utils.utils)
class_transform() (in module utils.utils)
class_weighting() (in module utils.utils)
CLASSES (in module utils.utils)
ClassTransform (class in transforms)
CM (built-in variable)
CMAP_DICT (in module utils.utils)
collapse level
collapse_level (SSLStepLogger attribute)
collator (built-in variable)
compile_dataset_paths() (in module utils.utils)
compute_roc_curves() (in module utils.utils)
conv (OutConv attribute)
(Up attribute)
conv1 (ResNet attribute)
Conv1x1 (DCN attribute)
Conv1x1_x2 (DCN attribute)
Conv1x1_x3 (DCN attribute)
CosineLR (class in scheduler)
counter (EarlyStopping attribute)
criterion (MinervaModel attribute)
D
DATA_CONFIG (in module utils.utils)
DATA_CONFIG_PATH (in module utils.utils)
DATA_DIR (in module utils.utils)
data_root (built-in variable)
data_size (SSLTaskLogger attribute)
(SupervisedTaskLogger attribute)
dataset (AutoNorm attribute)
datasets.dfc
module
datetime_reformat() (in module utils.utils)
dbn16 (DCN attribute)
dbn2 (DCN attribute)
dbn32 (DCN attribute)
dbn4 (DCN attribute)
dbn8 (DCN attribute)
DC16 (DCN attribute)
DC2 (DCN attribute)
DC32 (DCN attribute)
DC4 (DCN attribute)
DC8 (DCN attribute)
DCN (class in models.fcn)
de_interlace() (in module utils.visutils)
dec2deg() (in module utils.utils)
dec_extent_to_deg() (in module utils.visutils)
decoder (FCN attribute)
decoder_variant (FCN attribute)
DEFAULT_CONF_DIR_PATH (in module utils.config_load)
DEFAULT_CONFIG_NAME (in module utils.config_load)
deg_to_dms() (in module utils.utils)
delta (EarlyStopping attribute)
DetachedColorJitter (class in transforms)
determine_output_dim() (MinervaModel method)
DFC2020 (class in datasets.dfc)
dilation (ResNet attribute)
discrete_heatmap() (in module utils.visutils)
double_conv (DoubleConv attribute)
DoubleConv (class in models.unet)
Down (class in models.unet)
down1 (UNet attribute)
down2 (UNet attribute)
down3 (UNet attribute)
down4 (UNet attribute)
dublicator() (in module utils.utils)
E
early_stop (EarlyStopping attribute)
EarlyStopping (class in pytorchtools)
elim (built-in variable)
eliminate_classes() (in module utils.utils)
encoder_on (ResNet attribute)
euclidean (SSLStepLogger attribute)
euclidean distance
exist_delete_check() (in module utils.utils)
extract_class_type() (in module utils.utils)
extract_wrapped_model() (in module models.core)
F
fallback_params() (in module utils.utils)
fc (ResNet attribute)
FCN (class in models.fcn)
FCN16ResNet18 (class in models.fcn)
FCN16ResNet34 (class in models.fcn)
FCN16ResNet50 (class in models.fcn)
FCN32ResNet18 (class in models.fcn)
FCN32ResNet34 (class in models.fcn)
FCN32ResNet50 (class in models.fcn)
FCN8ResNet101 (class in models.fcn)
FCN8ResNet152 (class in models.fcn)
FCN8ResNet18 (class in models.fcn)
FCN8ResNet34 (class in models.fcn)
FCN8ResNet50 (class in models.fcn)
FilterOutputs (class in models.core)
find_best_of() (in module utils.utils)
find_empty_classes() (in module utils.utils)
find_geo_similar() (in module utils.utils)
find_modes() (in module utils.utils)
find_tensor_mode() (in module utils.utils)
fine_tune (built-in variable)
FlexiSceneClassifier (class in models.classifiers)
format_plot_names() (in module utils.visutils)
forward() (ChangeDetector method)
(ClassTransform method)
(DCN method)
(DetachedColorJitter method)
(DoubleConv method)
(Down method)
(FCN method)
(FilterOutputs method)
(FlexiSceneClassifier method)
(MinervaDataParallel method)
(MinervaOnnxModel method)
(MinervaSiamese method)
(MinervaWrapper method)
(Normalise method)
(OutConv method)
(PairCreate static method)
(ResNet method)
(ResNetX method)
(SelectChannels method)
(SingleLabel method)
(SwapKeys method)
(ToRGB method)
(UNet method)
(UNetR method)
(Up method)
forward_pair() (MinervaSiamese method)
forward_single() (MinervaSiamese method)
(SimCLR method)
(SimConv method)
(SimSiam method)
freeze_backbone() (MinervaBackbone method)
from_key (SwapKeys attribute)
func_by_str() (in module utils.utils)
G
get_backbone() (MinervaBackbone method)
get_centre_loc() (in module utils.utils)
get_cuda_device() (in module utils.utils)
get_logs (MinervaStepLogger property)
(MinervaTaskLogger property)
get_lr() (CosineLR method)
get_metrics (MinervaTaskLogger property)
get_mlp_cmap() (in module utils.visutils)
get_model() (in module models.core)
get_output_shape() (in module models.core)
get_results (MinervaStepLogger property)
(MinervaTaskLogger property)
get_sub_metrics() (MinervaTaskLogger method)
get_torch_weights() (in module models.core)
get_transform() (in module transforms)
groups (ResNet attribute)
H
History (built-in variable)
I
IAMGE_SIZE (in module utils.utils)
IMAGERY_CONFIG (in module utils.utils)
IMAGERY_CONFIG_PATH (in module utils.utils)
inc (UNet attribute)
indexes (FilterOutputs attribute)
init_auto_norm() (in module transforms)
inplanes (ResNet attribute)
input_shape (MinervaModel attribute)
input_size (built-in variable)
is_minerva_model() (in module models.core)
is_minerva_subtype() (in module models.core)
is_notebook() (in module utils.utils)
K
KNNStepLogger (class in logger.steplog)
L
labelled_rgb_image() (in module utils.visutils)
labels_to_ohe() (in module utils.utils)
LARS (class in optimisers)
lat_lon_to_loc() (in module utils.utils)
layer1 (ResNet attribute)
layer2 (ResNet attribute)
layer3 (ResNet attribute)
layer4 (ResNet attribute)
layer_struct (ResNetX attribute)
log() (KNNStepLogger method)
(MinervaStepLogger method)
(SSLStepLogger method)
(SupervisedStepLogger method)
log_epoch_number() (MinervaTaskLogger method)
log_null() (MinervaTaskLogger method)
logger.steplog
module
logger.tasklog
module
logs (KNNStepLogger attribute)
(MinervaStepLogger attribute)
(SSLStepLogger attribute)
(SupervisedStepLogger attribute)
loss_func (built-in variable)
lr (built-in variable)
M
macro (built-in variable)
make_classification_report() (in module utils.utils)
make_confusion_matrix() (in module utils.visutils)
make_gif() (in module utils.visutils)
make_rgb_image() (in module utils.visutils)
make_roc_curves() (in module utils.visutils)
make_transformations() (in module transforms)
Mask (built-in variable)
mask_to_ohe() (in module utils.utils)
mask_transform() (in module utils.utils)
max_epochs (built-in variable)
maxpool (ResNet attribute)
maxpool_conv (Down attribute)
metrics (MinervaTaskLogger attribute)
(SSLTaskLogger attribute)
(SupervisedTaskLogger attribute)
micro (built-in variable)
MinervaBackbone (class in models.core)
MinervaCompose (class in transforms)
MinervaDataParallel (class in models.core)
MinervaModel (class in models.core)
MinervaOnnxModel (class in models.core)
MinervaSiamese (class in models.siamese)
MinervaStepLogger (class in logger.steplog)
MinervaTaskLogger (class in logger.tasklog)
MinervaWrapper (class in models.core)
MIoU
mkexpdir() (in module utils.utils)
mode (SingleLabel attribute)
model (MinervaDataParallel attribute)
(MinervaOnnxModel attribute)
(MinervaWrapper attribute)
model_io (built-in variable)
model_name (built-in variable)
model_type (built-in variable)
(MinervaTaskLogger attribute)
(SSLTaskLogger attribute)
(SupervisedTaskLogger attribute)
modelio
module
models.change_detector
module
models.classifiers
module
models.core
module
models.fcn
module
models.resnet
module
models.siamese
module
models.unet
module
modes_from_manifest() (in module utils.utils)
module
datasets.dfc
logger.steplog
logger.tasklog
modelio
models.change_detector
models.classifiers
models.core
models.fcn
models.resnet
models.siamese
models.unet
optimisers
pytorchtools
scheduler
transforms
utils.config_load
utils.utils
utils.visutils
N
n_batches (MinervaStepLogger attribute)
(MinervaTaskLogger attribute)
(SSLTaskLogger attribute)
(SupervisedTaskLogger attribute)
n_classes (built-in variable)
(DCN attribute)
(MinervaModel attribute)
n_samples (MinervaStepLogger attribute)
network (ResNetX attribute)
norm_value (Normalise attribute)
Normalise (class in transforms)
O
OHE
optim_func (built-in variable)
optimiser (MinervaModel attribute)
optimisers
module
outc (UNet attribute)
(UNetR attribute)
OutConv (class in models.unet)
output_shape (MinervaModel attribute)
output_size (MinervaTaskLogger attribute)
P
p_dist (built-in variable)
pair_collate() (in module utils.utils)
pair_return() (in module utils.utils)
PairCreate (class in transforms)
paralleliser (MinervaDataParallel attribute)
patch
patch_size (built-in variable)
patches
path (EarlyStopping attribute)
patience (built-in variable)
(EarlyStopping attribute)
plot() (DFC2020 method)
plot_embedding() (in module utils.visutils)
plot_history() (in module utils.visutils)
plot_last_epoch (built-in variable)
plot_results() (in module utils.visutils)
plot_subpopulations() (in module utils.visutils)
pre_train (built-in variable)
Pred (built-in variable)
prediction_plot() (in module utils.visutils)
print_class_dist() (in module utils.utils)
print_config() (in module utils.utils)
print_epoch_results() (MinervaTaskLogger method)
(SSLTaskLogger method)
(SupervisedTaskLogger method)
proj_head (MinervaSiamese attribute)
(SimCLR attribute)
(SimConv attribute)
(SimSiam attribute)
pytorchtools
module
R
record_float (built-in variable)
(MinervaStepLogger attribute)
record_int (built-in variable)
(MinervaStepLogger attribute)
relu (DCN attribute)
(ResNet attribute)
ResNet (class in models.resnet)
ResNet101 (class in models.resnet)
ResNet152 (class in models.resnet)
ResNet18 (class in models.resnet)
ResNet34 (class in models.resnet)
ResNet50 (class in models.resnet)
ResNetX (class in models.resnet)
results (KNNStepLogger attribute)
(MinervaStepLogger attribute)
(SupervisedStepLogger attribute)
results_dir (built-in variable)
RESULTS_DIR (in module utils.utils)
return_updated_kwargs() (in module utils.utils)
ROC (built-in variable)
run_tensorboard (built-in variable)
run_tensorboard() (in module utils.utils)
S
sampler (AutoNorm attribute)
save (built-in variable)
save_checkpoint() (EarlyStopping method)
save_model (built-in variable)
scheduler
module
SeasonTransform (class in transforms)
seg_plot() (in module utils.visutils)
SelectChannels (class in transforms)
SEN12MS (class in datasets.dfc)
set_criterion() (MinervaModel method)
set_optimiser() (MinervaModel method)
set_seeds() (in module utils.utils)
show (built-in variable)
SimCLR (class in models.siamese)
SimCLR18 (class in models.siamese)
SimCLR34 (class in models.siamese)
SimCLR50 (class in models.siamese)
SimConv (class in models.siamese)
SimConv101 (class in models.siamese)
SimConv18 (class in models.siamese)
SimConv34 (class in models.siamese)
SimConv50 (class in models.siamese)
SimSiam (class in models.siamese)
SimSiam18 (class in models.siamese)
SimSiam34 (class in models.siamese)
SimSiam50 (class in models.siamese)
SingleLabel (class in transforms)
ssl_pair_torchgeo_io() (in module modelio)
SSLStepLogger (class in logger.steplog)
SSLTaskLogger (class in logger.tasklog)
stack_rgb() (in module utils.visutils)
step() (LARS method)
(MinervaModel method)
(MinervaTaskLogger method)
(SimCLR method)
(SimConv method)
(SimSiam method)
stopping (built-in variable)
supervised_torchgeo_io() (in module modelio)
SupervisedStepLogger (class in logger.steplog)
SupervisedTaskLogger (class in logger.tasklog)
SwapKeys (class in transforms)
T
tg_to_torch() (in module utils.utils)
threshold_scene_select() (in module utils.utils)
tile
timestamp_now() (in module utils.utils)
to_key (SwapKeys attribute)
ToDefaultConfDir (class in utils.config_load)
ToRGB (class in transforms)
trace_func (EarlyStopping attribute)
transform (ClassTransform attribute)
transform_coordinates() (in module utils.utils)
transforms
module
transforms (MinervaCompose attribute)
tsne_cluster() (in module utils.utils)
U
UNet (class in models.unet)
UNetR (class in models.unet)
UNetR101 (class in models.unet)
UNetR152 (class in models.unet)
UNetR18 (class in models.unet)
UNetR34 (class in models.unet)
UNetR50 (class in models.unet)
universal_path() (in module utils.config_load)
Up (class in models.unet)
up (Up attribute)
up1 (UNet attribute)
(UNetR attribute)
up2 (UNet attribute)
(UNetR attribute)
up3 (UNet attribute)
(UNetR attribute)
up4 (UNet attribute)
upsample1 (UNetR attribute)
upsample2 (UNetR attribute)
utils.config_load
module
utils.utils
module
utils.visutils
module
V
val_loss_min (EarlyStopping attribute)
variant (DCN attribute)
verbose (built-in variable)
(EarlyStopping attribute)
W
weights_name (ResNetX attribute)
WGS84 (in module utils.utils)
(in module utils.visutils)
write_metric() (MinervaStepLogger method)