Towhee
branch0.7
User Guide:
User Guide
User API:
towhee
towhee.DataCollection
Built-in Operators
Developer API:
towhee.operator
trainer package
trainer.optimization package
trainer.utils package
Towhee
»
Index
Edit on GitHub
Index
_
|
A
|
B
|
C
|
D
|
F
|
G
|
H
|
I
|
L
|
M
|
N
|
O
|
P
|
R
|
S
|
T
|
U
_
__call__() (towhee.operator.Operator method)
(towhee.operator.StatefulOperator method)
__init__() (towhee.operator.NNOperator method)
(towhee.operator.Operator method)
(towhee.operator.PyOperator method)
(towhee.operator.StatefulOperator method)
__weakref__ (towhee.operator.Operator attribute)
A
Adafactor (class in trainer.optimization.adafactor)
AdamW (class in trainer.optimization.adamw)
B
by_idx() (trainer.utils.layer_freezer.LayerFreezer method)
by_names() (trainer.utils.layer_freezer.LayerFreezer method)
C
cate_one_hot_encoder (class in towhee.hub.builtin.operators.feature_engineer)
check_scheduler() (in module trainer.scheduler)
ComputerVisionMixin (class in towhee.functional.mixins)
configure_constant_scheduler() (in module trainer.scheduler)
configure_constant_scheduler_with_warmup() (in module trainer.scheduler)
configure_cosine_scheduler_with_warmup() (in module trainer.scheduler)
configure_cosine_with_hard_restarts_scheduler_with_warmup() (in module trainer.scheduler)
configure_linear_scheduler_with_warmup() (in module trainer.scheduler)
configure_polynomial_decay_scheduler_with_warmup() (in module trainer.scheduler)
CONSTANT (trainer.utils.trainer_utils.SchedulerType attribute)
CONSTANT_WITH_WARMUP (trainer.utils.trainer_utils.SchedulerType attribute)
COSINE (trainer.utils.trainer_utils.SchedulerType attribute)
COSINE_WITH_RESTARTS (trainer.utils.trainer_utils.SchedulerType attribute)
D
DatasetMixin (class in towhee.functional.mixins)
decision_tree (class in towhee.hub.builtin.operators.sklearn)
DispatcherMixin (class in towhee.functional.mixins)
dump_default_yaml() (in module trainer.training_config)
F
from_camera() (towhee.functional.mixins.DatasetMixin class method)
from_glob() (towhee.functional.mixins.DatasetMixin class method)
from_zip() (towhee.functional.mixins.DatasetMixin class method)
G
get_config_help() (in module trainer.training_config)
get_last_checkpoint() (in module trainer.utils.trainer_utils)
get_rank() (in module trainer.utils.trainer_utils)
get_state() (towhee.functional.mixins.StateMixin method)
get_world_size() (in module trainer.utils.trainer_utils)
global_step (trainer.utils.trainer_utils.TrainOutput attribute)
H
honor_type() (in module trainer.utils.trainer_utils)
I
image_blur (class in towhee.hub.builtin.operators.computer_vision)
image_convert_color (class in towhee.hub.builtin.operators.computer_vision)
image_dump (class in towhee.hub.builtin.operators.computer_vision)
image_filter (class in towhee.hub.builtin.operators.computer_vision)
image_load (class in towhee.hub.builtin.operators.computer_vision)
image_resize (class in towhee.hub.builtin.operators.computer_vision)
is_dist_avail_and_initialized() (in module trainer.utils.trainer_utils)
is_main_process() (in module trainer.utils.trainer_utils)
is_torch_tensor() (in module trainer.utils.trainer_utils)
L
LayerFreezer (class in trainer.utils.layer_freezer)
LINEAR (trainer.utils.trainer_utils.SchedulerType attribute)
load() (towhee.operator.NNOperator method)
load_from_yaml() (trainer.training_config.TrainingConfig method)
logistic_regression (class in towhee.hub.builtin.operators.sklearn)
M
MetricMixin (class in towhee.functional.mixins)
milvus_search (class in towhee.hub.builtin.operators.milvus_search)
MilvusMixin (class in towhee.functional.mixins)
mmap() (towhee.functional.mixins.ParallelMixin method)
module
towhee.functional.mixins
towhee.hub.builtin.operators.computer_vision
towhee.hub.builtin.operators.feature_engineer
towhee.hub.builtin.operators.milvus_search
towhee.hub.builtin.operators.runas_op
towhee.hub.builtin.operators.sklearn
towhee.hub.builtin.operators.tensor_like
towhee.operator
trainer
trainer.optimization
trainer.optimization.adafactor
trainer.optimization.adamw
trainer.scheduler
trainer.training_config
trainer.utils
trainer.utils.layer_freezer
trainer.utils.trainer_utils
N
NNOperator (class in towhee.operator)
num_discretizer (class in towhee.hub.builtin.operators.feature_engineer)
O
Operator (class in towhee.operator)
P
ParallelMixin (class in towhee.functional.mixins)
pmap() (towhee.functional.mixins.ParallelMixin method)
POLYNOMIAL (trainer.utils.trainer_utils.SchedulerType attribute)
PyOperator (class in towhee.operator)
R
random_forest (class in towhee.hub.builtin.operators.sklearn)
read_video() (towhee.functional.mixins.ComputerVisionMixin class method)
recursively_apply() (in module trainer.utils.trainer_utils)
reduce_value() (in module trainer.utils.trainer_utils)
report() (towhee.functional.mixins.MetricMixin method)
runas_op (class in towhee.hub.builtin.operators.runas_op)
S
save() (towhee.operator.NNOperator method)
save_model() (towhee.operator.NNOperator method)
save_to_yaml() (trainer.training_config.TrainingConfig method)
SchedulerType (class in trainer.utils.trainer_utils)
send_to_device() (in module trainer.utils.trainer_utils)
set_all() (trainer.utils.layer_freezer.LayerFreezer method)
set_evaluating() (towhee.functional.mixins.StateMixin method)
set_parallel() (towhee.functional.mixins.ParallelMixin method)
set_seed() (in module trainer.utils.trainer_utils)
set_slice() (trainer.utils.layer_freezer.LayerFreezer method)
set_state() (towhee.functional.mixins.StateMixin method)
set_training() (towhee.functional.mixins.StateMixin method)
setup_trainer() (towhee.operator.NNOperator method)
show_frozen_layers() (trainer.utils.layer_freezer.LayerFreezer method)
split() (towhee.functional.mixins.ParallelMixin method)
split_train_test() (towhee.functional.mixins.DatasetMixin method)
standard_scaler (class in towhee.hub.builtin.operators.feature_engineer)
StatefulOperator (class in towhee.operator)
StateMixin (class in towhee.functional.mixins)
status() (trainer.utils.layer_freezer.LayerFreezer method)
step() (trainer.optimization.adafactor.Adafactor method)
(trainer.optimization.adamw.AdamW method)
supported_model_names() (towhee.operator.NNOperator method)
svc (class in towhee.hub.builtin.operators.sklearn)
T
tensor_concat (class in towhee.hub.builtin.operators.tensor_like)
tensor_normalize (class in towhee.hub.builtin.operators.tensor_like)
tensor_random (class in towhee.hub.builtin.operators.tensor_like)
tensor_reshape (class in towhee.hub.builtin.operators.tensor_like)
tensor_split (class in towhee.hub.builtin.operators.tensor_like)
tensor_stack (class in towhee.hub.builtin.operators.tensor_like)
tensor_unstack (class in towhee.hub.builtin.operators.tensor_like)
to_video() (towhee.functional.mixins.ComputerVisionMixin method)
towhee.functional.mixins
module
towhee.hub.builtin.operators.computer_vision
module
towhee.hub.builtin.operators.feature_engineer
module
towhee.hub.builtin.operators.milvus_search
module
towhee.hub.builtin.operators.runas_op
module
towhee.hub.builtin.operators.sklearn
module
towhee.hub.builtin.operators.tensor_like
module
towhee.operator
module
train() (towhee.operator.NNOperator method)
trainer
module
trainer.optimization
module
trainer.optimization.adafactor
module
trainer.optimization.adamw
module
trainer.scheduler
module
trainer.training_config
module
trainer.utils
module
trainer.utils.layer_freezer
module
trainer.utils.trainer_utils
module
training_loss (trainer.utils.trainer_utils.TrainOutput attribute)
TrainingConfig (class in trainer.training_config)
TrainOutput (class in trainer.utils.trainer_utils)
U
unset_parallel() (towhee.functional.mixins.ParallelMixin method)
unwrap_model() (in module trainer.utils.trainer_utils)
Read the Docs
v: branch0.7
Versions
latest
main
branch0.7
branch0.6
Downloads
On Read the Docs
Project Home
Builds