instruction stringclasses 100
values | code stringlengths 78 193k | response stringlengths 259 170k | file stringlengths 59 203 |
|---|---|---|---|
Add docstrings to existing functions | # Copyright (c) Facebook, Inc. and its affiliates.
import logging
import math
from typing import List, Tuple, Union
import torch
from annotator.oneformer.detectron2.layers import batched_nms, cat, move_device_like
from annotator.oneformer.detectron2.structures import Boxes, Instances
logger = logging.getLogger(__name... | --- +++ @@ -1,154 +1,205 @@-# Copyright (c) Facebook, Inc. and its affiliates.
-import logging
-import math
-from typing import List, Tuple, Union
-import torch
-
-from annotator.oneformer.detectron2.layers import batched_nms, cat, move_device_like
-from annotator.oneformer.detectron2.structures import Boxes, Instances... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/oneformer/detectron2/modeling/proposal_generator/proposal_utils.py |
Write docstrings for utility functions | import torch.nn as nn
import torch.nn.functional as F
from .activations import get_act_fn, get_act_layer, HardSwish
from .config import layer_config_kwargs
from .conv2d_layers import select_conv2d
from .helpers import load_pretrained
from .efficientnet_builder import *
__all__ = ['mobilenetv3_rw', 'mobilenetv3_large_... | --- +++ @@ -1,308 +1,364 @@-import torch.nn as nn
-import torch.nn.functional as F
-
-from .activations import get_act_fn, get_act_layer, HardSwish
-from .config import layer_config_kwargs
-from .conv2d_layers import select_conv2d
-from .helpers import load_pretrained
-from .efficientnet_builder import *
-
-__all__ = [... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/normalbae/models/submodules/efficientnet_repo/geffnet/mobilenetv3.py |
Generate docstrings for each module | # Copyright (c) Facebook, Inc. and its affiliates.
from typing import List
import torch
from torch import nn
from torch.nn import functional as F
from annotator.oneformer.detectron2.config import configurable
from annotator.oneformer.detectron2.layers import Conv2d, ConvTranspose2d, cat, interpolate
from annotator.one... | --- +++ @@ -1,193 +1,272 @@-# Copyright (c) Facebook, Inc. and its affiliates.
-from typing import List
-import torch
-from torch import nn
-from torch.nn import functional as F
-
-from annotator.oneformer.detectron2.config import configurable
-from annotator.oneformer.detectron2.layers import Conv2d, ConvTranspose2d, ... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/oneformer/detectron2/modeling/roi_heads/keypoint_head.py |
Add detailed docstrings explaining each function | # Copyright (c) Facebook, Inc. and its affiliates.
import numpy as np
from typing import List
import fvcore.nn.weight_init as weight_init
import torch
from torch import nn
from annotator.oneformer.detectron2.config import configurable
from annotator.oneformer.detectron2.layers import Conv2d, ShapeSpec, get_norm
from a... | --- +++ @@ -1,97 +1,118 @@-# Copyright (c) Facebook, Inc. and its affiliates.
-import numpy as np
-from typing import List
-import fvcore.nn.weight_init as weight_init
-import torch
-from torch import nn
-
-from annotator.oneformer.detectron2.config import configurable
-from annotator.oneformer.detectron2.layers import... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/oneformer/detectron2/modeling/roi_heads/box_head.py |
Add docstrings to improve code quality | # Copyright (c) Facebook, Inc. and its affiliates.
from typing import List
import fvcore.nn.weight_init as weight_init
import torch
from torch import nn
from torch.nn import functional as F
from annotator.oneformer.detectron2.config import configurable
from annotator.oneformer.detectron2.layers import Conv2d, ConvTran... | --- +++ @@ -1,215 +1,298 @@-# Copyright (c) Facebook, Inc. and its affiliates.
-from typing import List
-import fvcore.nn.weight_init as weight_init
-import torch
-from torch import nn
-from torch.nn import functional as F
-
-from annotator.oneformer.detectron2.config import configurable
-from annotator.oneformer.detec... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/oneformer/detectron2/modeling/roi_heads/mask_head.py |
Generate docstrings with parameter types | # Copyright (c) Facebook, Inc. and its affiliates.
import logging
from typing import Callable, Dict, List, Optional, Tuple, Union
import torch
from torch import nn
from torch.nn import functional as F
from annotator.oneformer.detectron2.config import configurable
from annotator.oneformer.detectron2.data.detection_util... | --- +++ @@ -1,398 +1,569 @@-# Copyright (c) Facebook, Inc. and its affiliates.
-import logging
-from typing import Callable, Dict, List, Optional, Tuple, Union
-import torch
-from torch import nn
-from torch.nn import functional as F
-
-from annotator.oneformer.detectron2.config import configurable
-from annotator.onef... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/oneformer/detectron2/modeling/roi_heads/fast_rcnn.py |
Replace inline comments with docstrings | import torch.nn as nn
import torch.nn.functional as F
from .config import layer_config_kwargs, is_scriptable
from .conv2d_layers import select_conv2d
from .helpers import load_pretrained
from .efficientnet_builder import *
__all__ = ['GenEfficientNet', 'mnasnet_050', 'mnasnet_075', 'mnasnet_100', 'mnasnet_b1', 'mnasn... | --- +++ @@ -1,1187 +1,1450 @@-import torch.nn as nn
-import torch.nn.functional as F
-
-from .config import layer_config_kwargs, is_scriptable
-from .conv2d_layers import select_conv2d
-from .helpers import load_pretrained
-from .efficientnet_builder import *
-
-__all__ = ['GenEfficientNet', 'mnasnet_050', 'mnasnet_075... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/normalbae/models/submodules/efficientnet_repo/geffnet/gen_efficientnet.py |
Add docstrings following best practices | # Copyright (c) Facebook, Inc. and its affiliates.
import logging
import numpy as np
import torch
from annotator.oneformer.detectron2.config import configurable
from annotator.oneformer.detectron2.layers import ShapeSpec, batched_nms_rotated
from annotator.oneformer.detectron2.structures import Instances, RotatedBoxes... | --- +++ @@ -1,201 +1,271 @@-# Copyright (c) Facebook, Inc. and its affiliates.
-import logging
-import numpy as np
-import torch
-
-from annotator.oneformer.detectron2.config import configurable
-from annotator.oneformer.detectron2.layers import ShapeSpec, batched_nms_rotated
-from annotator.oneformer.detectron2.struct... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/oneformer/detectron2/modeling/roi_heads/rotated_fast_rcnn.py |
Create docstrings for reusable components | # Copyright (c) Facebook, Inc. and its affiliates.
import inspect
import logging
import numpy as np
from typing import Dict, List, Optional, Tuple
import torch
from torch import nn
from annotator.oneformer.detectron2.config import configurable
from annotator.oneformer.detectron2.layers import ShapeSpec, nonzero_tuple
... | --- +++ @@ -1,622 +1,877 @@-# Copyright (c) Facebook, Inc. and its affiliates.
-import inspect
-import logging
-import numpy as np
-from typing import Dict, List, Optional, Tuple
-import torch
-from torch import nn
-
-from annotator.oneformer.detectron2.config import configurable
-from annotator.oneformer.detectron2.la... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/oneformer/detectron2/modeling/roi_heads/roi_heads.py |
Document this script properly | # Copyright (c) Facebook, Inc. and its affiliates.
from typing import List
import torch
from torch import nn
from torch.autograd.function import Function
from annotator.oneformer.detectron2.config import configurable
from annotator.oneformer.detectron2.layers import ShapeSpec
from annotator.oneformer.detectron2.struct... | --- +++ @@ -1,245 +1,299 @@-# Copyright (c) Facebook, Inc. and its affiliates.
-from typing import List
-import torch
-from torch import nn
-from torch.autograd.function import Function
-
-from annotator.oneformer.detectron2.config import configurable
-from annotator.oneformer.detectron2.layers import ShapeSpec
-from a... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/oneformer/detectron2/modeling/roi_heads/cascade_rcnn.py |
Add minimal docstrings for each function | # Copyright (c) Facebook, Inc. and its affiliates.
import contextlib
import datetime
import io
import json
import logging
import numpy as np
import os
import shutil
import annotator.oneformer.pycocotools.mask as mask_util
from fvcore.common.timer import Timer
from iopath.common.file_io import file_lock
from PIL import ... | --- +++ @@ -1,437 +1,539 @@-# Copyright (c) Facebook, Inc. and its affiliates.
-import contextlib
-import datetime
-import io
-import json
-import logging
-import numpy as np
-import os
-import shutil
-import annotator.oneformer.pycocotools.mask as mask_util
-from fvcore.common.timer import Timer
-from iopath.common.fi... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/oneformer/detectron2/data/datasets/coco.py |
Add docstrings including usage examples | # Copyright (c) Facebook, Inc. and its affiliates.
import logging
import math
from bisect import bisect_right
from typing import List
import torch
from fvcore.common.param_scheduler import (
CompositeParamScheduler,
ConstantParamScheduler,
LinearParamScheduler,
ParamScheduler,
)
try:
from torch.opt... | --- +++ @@ -1,187 +1,246 @@-# Copyright (c) Facebook, Inc. and its affiliates.
-import logging
-import math
-from bisect import bisect_right
-from typing import List
-import torch
-from fvcore.common.param_scheduler import (
- CompositeParamScheduler,
- ConstantParamScheduler,
- LinearParamScheduler,
- Para... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/oneformer/detectron2/solver/lr_scheduler.py |
Add clean documentation to messy code | # Copyright (c) Facebook, Inc. and its affiliates.
import copy
import json
import os
from annotator.oneformer.detectron2.data import DatasetCatalog, MetadataCatalog
from annotator.oneformer.detectron2.utils.file_io import PathManager
from .coco import load_coco_json, load_sem_seg
__all__ = ["register_coco_panoptic",... | --- +++ @@ -1,156 +1,228 @@-# Copyright (c) Facebook, Inc. and its affiliates.
-import copy
-import json
-import os
-
-from annotator.oneformer.detectron2.data import DatasetCatalog, MetadataCatalog
-from annotator.oneformer.detectron2.utils.file_io import PathManager
-
-from .coco import load_coco_json, load_sem_seg
-... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/oneformer/detectron2/data/datasets/coco_panoptic.py |
Annotate my code with docstrings | #!/usr/bin/env python3
# Copyright 2004-present Facebook. All Rights Reserved.
import copy
import numpy as np
from typing import List
import torch
from annotator.oneformer.detectron2.config import configurable
from annotator.oneformer.detectron2.structures import Boxes, Instances
from annotator.oneformer.detectron2.st... | --- +++ @@ -1,205 +1,276 @@-#!/usr/bin/env python3
-# Copyright 2004-present Facebook. All Rights Reserved.
-import copy
-import numpy as np
-from typing import List
-import torch
-
-from annotator.oneformer.detectron2.config import configurable
-from annotator.oneformer.detectron2.structures import Boxes, Instances
-f... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/oneformer/detectron2/tracking/bbox_iou_tracker.py |
Add clean documentation to messy code | # Copyright (c) Facebook, Inc. and its affiliates.
from __future__ import division
from typing import Any, Dict, List, Optional, Tuple
import torch
from torch import device
from torch.nn import functional as F
from annotator.oneformer.detectron2.layers.wrappers import move_device_like, shapes_to_tensor
class ImageLi... | --- +++ @@ -1,88 +1,129 @@-# Copyright (c) Facebook, Inc. and its affiliates.
-from __future__ import division
-from typing import Any, Dict, List, Optional, Tuple
-import torch
-from torch import device
-from torch.nn import functional as F
-
-from annotator.oneformer.detectron2.layers.wrappers import move_device_like... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/oneformer/detectron2/structures/image_list.py |
Add docstrings to incomplete code | # Copyright (c) Facebook, Inc. and its affiliates.
import itertools
import warnings
from typing import Any, Dict, List, Tuple, Union
import torch
class Instances:
def __init__(self, image_size: Tuple[int, int], **kwargs: Any):
self._image_size = image_size
self._fields: Dict[str, Any] = {}
... | --- +++ @@ -1,116 +1,194 @@-# Copyright (c) Facebook, Inc. and its affiliates.
-import itertools
-import warnings
-from typing import Any, Dict, List, Tuple, Union
-import torch
-
-
-class Instances:
-
- def __init__(self, image_size: Tuple[int, int], **kwargs: Any):
- self._image_size = image_size
- s... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/oneformer/detectron2/structures/instances.py |
Create docstrings for all classes and functions | # Copyright (c) Facebook, Inc. and its affiliates.
import copy
import itertools
import logging
from collections import defaultdict
from enum import Enum
from typing import Any, Callable, Dict, Iterable, List, Optional, Set, Type, Union
import torch
from fvcore.common.param_scheduler import (
CosineParamScheduler,
... | --- +++ @@ -1,254 +1,310 @@-# Copyright (c) Facebook, Inc. and its affiliates.
-import copy
-import itertools
-import logging
-from collections import defaultdict
-from enum import Enum
-from typing import Any, Callable, Dict, Iterable, List, Optional, Set, Type, Union
-import torch
-from fvcore.common.param_scheduler ... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/oneformer/detectron2/solver/build.py |
Add docstrings that explain logic | #!/usr/bin/env python3
# Copyright 2004-present Facebook. All Rights Reserved.
from annotator.oneformer.detectron2.config import configurable
from annotator.oneformer.detectron2.utils.registry import Registry
from ..config.config import CfgNode as CfgNode_
from ..structures import Instances
TRACKER_HEADS_REGISTRY = R... | --- +++ @@ -1,36 +1,64 @@-#!/usr/bin/env python3
-# Copyright 2004-present Facebook. All Rights Reserved.
-from annotator.oneformer.detectron2.config import configurable
-from annotator.oneformer.detectron2.utils.registry import Registry
-
-from ..config.config import CfgNode as CfgNode_
-from ..structures import Insta... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/oneformer/detectron2/tracking/base_tracker.py |
Add docstrings for better understanding | # Copyright (c) Facebook, Inc. and its affiliates.
import warnings
from typing import List, Optional
import torch
from torch.nn import functional as F
from annotator.oneformer.detectron2.utils.env import TORCH_VERSION
def shapes_to_tensor(x: List[int], device: Optional[torch.device] = None) -> torch.Tensor:
if ... | --- +++ @@ -1,121 +1,162 @@-# Copyright (c) Facebook, Inc. and its affiliates.
-
-import warnings
-from typing import List, Optional
-import torch
-from torch.nn import functional as F
-
-from annotator.oneformer.detectron2.utils.env import TORCH_VERSION
-
-
-def shapes_to_tensor(x: List[int], device: Optional[torch.de... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/oneformer/detectron2/layers/wrappers.py |
Generate consistent docstrings | #!/usr/bin/env python3
# Copyright 2004-present Facebook. All Rights Reserved.
import numpy as np
from typing import List
from annotator.oneformer.detectron2.config import CfgNode as CfgNode_
from annotator.oneformer.detectron2.config import configurable
from annotator.oneformer.detectron2.structures import Instances... | --- +++ @@ -1,83 +1,129 @@-#!/usr/bin/env python3
-# Copyright 2004-present Facebook. All Rights Reserved.
-
-import numpy as np
-from typing import List
-
-from annotator.oneformer.detectron2.config import CfgNode as CfgNode_
-from annotator.oneformer.detectron2.config import configurable
-from annotator.oneformer.det... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/oneformer/detectron2/tracking/vanilla_hungarian_bbox_iou_tracker.py |
Document my Python code with docstrings | import logging
import math
import fvcore.nn.weight_init as weight_init
import torch
import torch.nn as nn
from annotator.oneformer.detectron2.layers import CNNBlockBase, Conv2d, get_norm
from annotator.oneformer.detectron2.modeling.backbone.fpn import _assert_strides_are_log2_contiguous
from .backbone import Backbone... | --- +++ @@ -1,408 +1,524 @@-import logging
-import math
-import fvcore.nn.weight_init as weight_init
-import torch
-import torch.nn as nn
-
-from annotator.oneformer.detectron2.layers import CNNBlockBase, Conv2d, get_norm
-from annotator.oneformer.detectron2.modeling.backbone.fpn import _assert_strides_are_log2_contigu... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/oneformer/detectron2/modeling/backbone/vit.py |
Generate NumPy-style docstrings | # Copyright (c) Facebook, Inc. and its affiliates.
# -*- coding: utf-8 -*-
import typing
from typing import Any, List
import fvcore
from fvcore.nn import activation_count, flop_count, parameter_count, parameter_count_table
from torch import nn
from annotator.oneformer.detectron2.export import TracingAdapter
__all__ ... | --- +++ @@ -1,126 +1,188 @@-# Copyright (c) Facebook, Inc. and its affiliates.
-# -*- coding: utf-8 -*-
-
-import typing
-from typing import Any, List
-import fvcore
-from fvcore.nn import activation_count, flop_count, parameter_count, parameter_count_table
-from torch import nn
-
-from annotator.oneformer.detectron2.e... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/oneformer/detectron2/utils/analysis.py |
Add docstrings explaining edge cases | #!/usr/bin/env python3
# Copyright 2004-present Facebook. All Rights Reserved.
import numpy as np
from typing import List
from annotator.oneformer.detectron2.config import CfgNode as CfgNode_
from annotator.oneformer.detectron2.config import configurable
from .base_tracker import TRACKER_HEADS_REGISTRY
from .vanilla... | --- +++ @@ -1,66 +1,102 @@-#!/usr/bin/env python3
-# Copyright 2004-present Facebook. All Rights Reserved.
-
-import numpy as np
-from typing import List
-
-from annotator.oneformer.detectron2.config import CfgNode as CfgNode_
-from annotator.oneformer.detectron2.config import configurable
-
-from .base_tracker import ... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/oneformer/detectron2/tracking/iou_weighted_hungarian_bbox_iou_tracker.py |
Write docstrings including parameters and return values | # Copyright (c) Facebook, Inc. and its affiliates.
import datetime
import json
import logging
import os
import time
from collections import defaultdict
from contextlib import contextmanager
from typing import Optional
import torch
from fvcore.common.history_buffer import HistoryBuffer
from annotator.oneformer.detectro... | --- +++ @@ -1,348 +1,534 @@-# Copyright (c) Facebook, Inc. and its affiliates.
-import datetime
-import json
-import logging
-import os
-import time
-from collections import defaultdict
-from contextlib import contextmanager
-from typing import Optional
-import torch
-from fvcore.common.history_buffer import HistoryBuf... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/oneformer/detectron2/utils/events.py |
Improve documentation using docstrings | # Copyright (c) Facebook, Inc. and its affiliates.
import math
import fvcore.nn.weight_init as weight_init
import torch
import torch.nn.functional as F
from torch import nn
from annotator.oneformer.detectron2.layers import Conv2d, ShapeSpec, get_norm
from .backbone import Backbone
from .build import BACKBONE_REGISTRY... | --- +++ @@ -1,203 +1,268 @@-# Copyright (c) Facebook, Inc. and its affiliates.
-import math
-import fvcore.nn.weight_init as weight_init
-import torch
-import torch.nn.functional as F
-from torch import nn
-
-from annotator.oneformer.detectron2.layers import Conv2d, ShapeSpec, get_norm
-
-from .backbone import Backbone... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/oneformer/detectron2/modeling/backbone/fpn.py |
Write docstrings for utility functions | # Copyright (c) Facebook, Inc. and its affiliates.
import importlib
import importlib.util
import logging
import numpy as np
import os
import random
import sys
from datetime import datetime
import torch
__all__ = ["seed_all_rng"]
TORCH_VERSION = tuple(int(x) for x in torch.__version__.split(".")[:2])
"""
PyTorch vers... | --- +++ @@ -1,147 +1,170 @@-# Copyright (c) Facebook, Inc. and its affiliates.
-import importlib
-import importlib.util
-import logging
-import numpy as np
-import os
-import random
-import sys
-from datetime import datetime
-import torch
-
-__all__ = ["seed_all_rng"]
-
-
-TORCH_VERSION = tuple(int(x) for x in torch.__... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/oneformer/detectron2/utils/env.py |
Generate consistent documentation across files | # Copyright (c) Facebook, Inc. and its affiliates.
from typing import List
import torch
from annotator.oneformer.detectron2.layers import nonzero_tuple
# TODO: the name is too general
class Matcher(object):
def __init__(
self, thresholds: List[float], labels: List[int], allow_low_quality_matches: bool =... | --- +++ @@ -1,70 +1,127 @@-# Copyright (c) Facebook, Inc. and its affiliates.
-from typing import List
-import torch
-
-from annotator.oneformer.detectron2.layers import nonzero_tuple
-
-
-# TODO: the name is too general
-class Matcher(object):
-
- def __init__(
- self, thresholds: List[float], labels: List[i... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/oneformer/detectron2/modeling/matcher.py |
Add docstrings to improve readability | import inspect
import torch
from annotator.oneformer.detectron2.utils.env import TORCH_VERSION
try:
from torch.fx._symbolic_trace import is_fx_tracing as is_fx_tracing_current
tracing_current_exists = True
except ImportError:
tracing_current_exists = False
try:
from torch.fx._symbolic_trace import _... | --- +++ @@ -1,58 +1,71 @@-import inspect
-import torch
-
-from annotator.oneformer.detectron2.utils.env import TORCH_VERSION
-
-try:
- from torch.fx._symbolic_trace import is_fx_tracing as is_fx_tracing_current
-
- tracing_current_exists = True
-except ImportError:
- tracing_current_exists = False
-
-try:
- ... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/oneformer/detectron2/utils/tracing.py |
Include argument descriptions in docstrings | # Copyright (c) Facebook, Inc. and its affiliates.
import numpy as np
from typing import List
import annotator.oneformer.pycocotools.mask as mask_util
from annotator.oneformer.detectron2.structures import Instances
from annotator.oneformer.detectron2.utils.visualizer import (
ColorMode,
Visualizer,
_create... | --- +++ @@ -1,246 +1,287 @@-# Copyright (c) Facebook, Inc. and its affiliates.
-import numpy as np
-from typing import List
-import annotator.oneformer.pycocotools.mask as mask_util
-
-from annotator.oneformer.detectron2.structures import Instances
-from annotator.oneformer.detectron2.utils.visualizer import (
- Col... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/oneformer/detectron2/utils/video_visualizer.py |
Help me document legacy Python code | # -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.
import logging
from typing import Dict, List
import torch
from torch import nn
from annotator.oneformer.detectron2.config import configurable
from annotator.oneformer.detectron2.structures import ImageList
from ..postprocessing import detecto... | --- +++ @@ -1,203 +1,269 @@-# -*- coding: utf-8 -*-
-# Copyright (c) Facebook, Inc. and its affiliates.
-
-import logging
-from typing import Dict, List
-import torch
-from torch import nn
-
-from annotator.oneformer.detectron2.config import configurable
-from annotator.oneformer.detectron2.structures import ImageList
... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/oneformer/detectron2/modeling/meta_arch/panoptic_fpn.py |
Document this script properly | # -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.
import argparse
import logging
import os
import sys
import weakref
from collections import OrderedDict
from typing import Optional
import torch
from fvcore.nn.precise_bn import get_bn_modules
from omegaconf import OmegaConf
from torch.nn.paral... | --- +++ @@ -1,458 +1,715 @@-# -*- coding: utf-8 -*-
-# Copyright (c) Facebook, Inc. and its affiliates.
-
-
-import argparse
-import logging
-import os
-import sys
-import weakref
-from collections import OrderedDict
-from typing import Optional
-import torch
-from fvcore.nn.precise_bn import get_bn_modules
-from omega... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/oneformer/detectron2/engine/defaults.py |
Add docstrings for better understanding | # Copyright (c) Facebook, Inc. and its affiliates.
import colorsys
import logging
import math
import numpy as np
from enum import Enum, unique
import cv2
import matplotlib as mpl
import matplotlib.colors as mplc
import matplotlib.figure as mplfigure
import annotator.oneformer.pycocotools.mask as mask_util
import torch
... | --- +++ @@ -1,922 +1,1267 @@-# Copyright (c) Facebook, Inc. and its affiliates.
-import colorsys
-import logging
-import math
-import numpy as np
-from enum import Enum, unique
-import cv2
-import matplotlib as mpl
-import matplotlib.colors as mplc
-import matplotlib.figure as mplfigure
-import annotator.oneformer.pyco... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/oneformer/detectron2/utils/visualizer.py |
Add docstrings to improve readability | # Copyright (c) Facebook, Inc. and its affiliates.
import logging
import numpy as np
from typing import Dict, List, Optional, Tuple
import torch
from torch import nn
from annotator.oneformer.detectron2.config import configurable
from annotator.oneformer.detectron2.data.detection_utils import convert_image_to_rgb
from ... | --- +++ @@ -1,249 +1,341 @@-# Copyright (c) Facebook, Inc. and its affiliates.
-import logging
-import numpy as np
-from typing import Dict, List, Optional, Tuple
-import torch
-from torch import nn
-
-from annotator.oneformer.detectron2.config import configurable
-from annotator.oneformer.detectron2.data.detection_uti... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/oneformer/detectron2/modeling/meta_arch/rcnn.py |
Write docstrings describing each step | # Copyright (c) Facebook, Inc. and its affiliates.
import math
from typing import List, Tuple, Union
import torch
from fvcore.nn import giou_loss, smooth_l1_loss
from torch.nn import functional as F
from annotator.oneformer.detectron2.layers import cat, ciou_loss, diou_loss
from annotator.oneformer.detectron2.structur... | --- +++ @@ -1,259 +1,369 @@-# Copyright (c) Facebook, Inc. and its affiliates.
-import math
-from typing import List, Tuple, Union
-import torch
-from fvcore.nn import giou_loss, smooth_l1_loss
-from torch.nn import functional as F
-
-from annotator.oneformer.detectron2.layers import cat, ciou_loss, diou_loss
-from ann... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/oneformer/detectron2/modeling/box_regression.py |
Document this module using docstrings | # Copyright (c) Facebook, Inc. and its affiliates.
import atexit
import functools
import logging
import os
import sys
import time
from collections import Counter
import torch
from tabulate import tabulate
from termcolor import colored
from annotator.oneformer.detectron2.utils.file_io import PathManager
__all__ = ["se... | --- +++ @@ -1,166 +1,237 @@-# Copyright (c) Facebook, Inc. and its affiliates.
-import atexit
-import functools
-import logging
-import os
-import sys
-import time
-from collections import Counter
-import torch
-from tabulate import tabulate
-from termcolor import colored
-
-from annotator.oneformer.detectron2.utils.fi... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/oneformer/detectron2/utils/logger.py |
Add docstrings for internal functions | # -------------------------------------------------------------------------
# MIT License
#
# Copyright (c) 2021 OpenAI
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, ... | --- +++ @@ -1,181 +1,192 @@-# -------------------------------------------------------------------------
-# MIT License
-#
-# Copyright (c) 2021 OpenAI
-#
-# Permission is hereby granted, free of charge, to any person obtaining a copy
-# of this software and associated documentation files (the "Software"), to deal
-# in... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/oneformer/oneformer/data/tokenizer.py |
Generate consistent docstrings | # ------------------------------------------------------------------------------
# Reference: https://github.com/facebookresearch/Mask2Former/blob/main/mask2former/data/datasets/register_ade20k_panoptic.py
# Modified by Jitesh Jain (https://github.com/praeclarumjj3)
# ---------------------------------------------------... | --- +++ @@ -1,370 +1,394 @@-# ------------------------------------------------------------------------------
-# Reference: https://github.com/facebookresearch/Mask2Former/blob/main/mask2former/data/datasets/register_ade20k_panoptic.py
-# Modified by Jitesh Jain (https://github.com/praeclarumjj3)
-# --------------------... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/oneformer/oneformer/data/datasets/register_ade20k_panoptic.py |
Generate helpful docstrings for debugging | # Copyright (c) Facebook, Inc. and its affiliates.
import copy
import itertools
import numpy as np
from typing import Any, Iterator, List, Union
import annotator.oneformer.pycocotools.mask as mask_util
import torch
from torch import device
from annotator.oneformer.detectron2.layers.roi_align import ROIAlign
from annot... | --- +++ @@ -1,339 +1,534 @@-# Copyright (c) Facebook, Inc. and its affiliates.
-import copy
-import itertools
-import numpy as np
-from typing import Any, Iterator, List, Union
-import annotator.oneformer.pycocotools.mask as mask_util
-import torch
-from torch import device
-
-from annotator.oneformer.detectron2.layers... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/oneformer/detectron2/structures/masks.py |
Add structured docstrings to improve clarity | # Copyright (c) Facebook, Inc. and its affiliates.
from typing import Callable, Dict, List, Optional, Tuple, Union
import fvcore.nn.weight_init as weight_init
import torch
from torch import nn
from torch.nn import functional as F
from annotator.oneformer.detectron2.config import configurable
from annotator.oneformer.d... | --- +++ @@ -1,303 +1,348 @@-# Copyright (c) Facebook, Inc. and its affiliates.
-from typing import Callable, Dict, List, Optional, Tuple, Union
-import fvcore.nn.weight_init as weight_init
-import torch
-from torch import nn
-from torch.nn import functional as F
-
-from annotator.oneformer.detectron2.config import conf... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/oneformer/detectron2/projects/deeplab/semantic_seg.py |
Generate docstrings for this script | #!/usr/bin/env python3
# Copyright 2004-present Facebook. All Rights Reserved.
import copy
import numpy as np
from typing import Dict
import torch
from scipy.optimize import linear_sum_assignment
from annotator.oneformer.detectron2.config import configurable
from annotator.oneformer.detectron2.structures import Boxes,... | --- +++ @@ -1,146 +1,171 @@-#!/usr/bin/env python3
-# Copyright 2004-present Facebook. All Rights Reserved.
-import copy
-import numpy as np
-from typing import Dict
-import torch
-from scipy.optimize import linear_sum_assignment
-
-from annotator.oneformer.detectron2.config import configurable
-from annotator.oneforme... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/oneformer/detectron2/tracking/hungarian_tracker.py |
Replace inline comments with docstrings | # Copyright (c) Facebook, Inc. and its affiliates.
import math
from typing import List, Tuple
import torch
from annotator.oneformer.detectron2.layers.rotated_boxes import pairwise_iou_rotated
from .boxes import Boxes
class RotatedBoxes(Boxes):
def __init__(self, tensor: torch.Tensor):
device = tensor.d... | --- +++ @@ -1,195 +1,505 @@-# Copyright (c) Facebook, Inc. and its affiliates.
-import math
-from typing import List, Tuple
-import torch
-
-from annotator.oneformer.detectron2.layers.rotated_boxes import pairwise_iou_rotated
-
-from .boxes import Boxes
-
-
-class RotatedBoxes(Boxes):
-
- def __init__(self, tensor: ... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/oneformer/detectron2/structures/rotated_boxes.py |
Write docstrings including parameters and return values | # --------------------------------------------------------
# Neighborhood Attention Transformer
# Licensed under The MIT License
# Written by Ali Hassani
# --------------------------------------------------------
# Modified by Jitesh Jain
import torch
import torch.nn as nn
from timm.models.layers import DropPath
from... | --- +++ @@ -1,315 +1,324 @@-# --------------------------------------------------------
-# Neighborhood Attention Transformer
-# Licensed under The MIT License
-# Written by Ali Hassani
-# --------------------------------------------------------
-
-# Modified by Jitesh Jain
-
-import torch
-import torch.nn as nn
-from t... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/oneformer/oneformer/modeling/backbone/dinat.py |
Add docstrings to make code maintainable | # Copyright (c) Facebook, Inc. and its affiliates.
import fvcore.nn.weight_init as weight_init
import torch.nn.functional as F
from annotator.oneformer.detectron2.layers import CNNBlockBase, Conv2d, get_norm
from annotator.oneformer.detectron2.modeling import BACKBONE_REGISTRY
from annotator.oneformer.detectron2.model... | --- +++ @@ -1,145 +1,158 @@-# Copyright (c) Facebook, Inc. and its affiliates.
-import fvcore.nn.weight_init as weight_init
-import torch.nn.functional as F
-
-from annotator.oneformer.detectron2.layers import CNNBlockBase, Conv2d, get_norm
-from annotator.oneformer.detectron2.modeling import BACKBONE_REGISTRY
-from an... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/oneformer/detectron2/projects/deeplab/resnet.py |
Improve documentation using docstrings | # ------------------------------------------------------------------------------
# Reference: https://github.com/facebookresearch/detectron2/blob/main/detectron2/evaluation/evaluator.py
# Modified by Jitesh Jain (https://github.com/praeclarumjj3)
# -----------------------------------------------------------------------... | --- +++ @@ -1,152 +1,228 @@-# ------------------------------------------------------------------------------
-# Reference: https://github.com/facebookresearch/detectron2/blob/main/detectron2/evaluation/evaluator.py
-# Modified by Jitesh Jain (https://github.com/praeclarumjj3)
-# ----------------------------------------... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/oneformer/oneformer/evaluation/evaluator.py |
Generate descriptive docstrings automatically | # ------------------------------------------------------------------------------
# Reference: https://github.com/facebookresearch/detectron2/blob/main/detectron2/evaluation/coco_evaluation.py
# Modified by Jitesh Jain (https://github.com/praeclarumjj3)
# -----------------------------------------------------------------... | --- +++ @@ -1,614 +1,723 @@-# ------------------------------------------------------------------------------
-# Reference: https://github.com/facebookresearch/detectron2/blob/main/detectron2/evaluation/coco_evaluation.py
-# Modified by Jitesh Jain (https://github.com/praeclarumjj3)
-# ----------------------------------... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/oneformer/oneformer/evaluation/detection_coco_evaluator.py |
Improve my code by adding docstrings | # --------------------------------------------------------
# Swin Transformer
# Copyright (c) 2021 Microsoft
# Licensed under The MIT License [see LICENSE for details]
# Written by Ze Liu, Yutong Lin, Yixuan Wei
# --------------------------------------------------------
# ----------------------------------------------... | --- +++ @@ -1,639 +1,771 @@-# --------------------------------------------------------
-# Swin Transformer
-# Copyright (c) 2021 Microsoft
-# Licensed under The MIT License [see LICENSE for details]
-# Written by Ze Liu, Yutong Lin, Yixuan Wei
-# --------------------------------------------------------
-
-# -----------... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/oneformer/oneformer/modeling/backbone/swin.py |
Replace inline comments with docstrings | # ------------------------------------------------------------------------------------------------
# Deformable DETR
# Copyright (c) 2020 SenseTime. All Rights Reserved.
# Licensed under the Apache License, Version 2.0 [see LICENSE for details]
# -------------------------------------------------------------------------... | --- +++ @@ -1,103 +1,120 @@-# ------------------------------------------------------------------------------------------------
-# Deformable DETR
-# Copyright (c) 2020 SenseTime. All Rights Reserved.
-# Licensed under the Apache License, Version 2.0 [see LICENSE for details]
-# -----------------------------------------... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/oneformer/oneformer/modeling/pixel_decoder/ops/modules/ms_deform_attn.py |
Add structured docstrings to improve clarity | # ------------------------------------------------------------------------------
# Reference: https://github.com/facebookresearch/Mask2Former/blob/main/mask2former/modeling/matcher.py
# Modified by Jitesh Jain (https://github.com/praeclarumjj3)
# -------------------------------------------------------------------------... | --- +++ @@ -1,157 +1,212 @@-# ------------------------------------------------------------------------------
-# Reference: https://github.com/facebookresearch/Mask2Former/blob/main/mask2former/modeling/matcher.py
-# Modified by Jitesh Jain (https://github.com/praeclarumjj3)
-# ------------------------------------------... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/oneformer/oneformer/modeling/matcher.py |
Generate docstrings for this script | # ------------------------------------------------------------------------------
# Reference: https://github.com/facebookresearch/Mask2Former/blob/main/mask2former/evaluation/instance_evaluation.py
# ------------------------------------------------------------------------------
import contextlib
import copy
import io
... | --- +++ @@ -1,96 +1,110 @@-# ------------------------------------------------------------------------------
-# Reference: https://github.com/facebookresearch/Mask2Former/blob/main/mask2former/evaluation/instance_evaluation.py
-# ------------------------------------------------------------------------------
-
-import co... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/oneformer/oneformer/evaluation/instance_evaluation.py |
Add clean documentation to messy code | # -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.
from annotator.oneformer.detectron2.config import CfgNode as CN
__all__ = ["add_common_config", "add_oneformer_config", "add_swin_config",
"add_dinat_config", "add_beit_adapter_config", "add_convnext_config"]
def add_common_config... | --- +++ @@ -1,221 +1,239 @@-# -*- coding: utf-8 -*-
-# Copyright (c) Facebook, Inc. and its affiliates.
-from annotator.oneformer.detectron2.config import CfgNode as CN
-
-__all__ = ["add_common_config", "add_oneformer_config", "add_swin_config",
- "add_dinat_config", "add_beit_adapter_config", "add_convnex... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/oneformer/oneformer/config.py |
Add docstrings with type hints explained | # ------------------------------------------------------------------------------
# Reference: https://github.com/facebookresearch/Mask2Former/blob/main/mask2former/modeling/transformer_decoder/mask2former_transformer_decoder.py
# Modified by Jitesh Jain (https://github.com/praeclarumjj3)
# -----------------------------... | --- +++ @@ -1,506 +1,528 @@-# ------------------------------------------------------------------------------
-# Reference: https://github.com/facebookresearch/Mask2Former/blob/main/mask2former/modeling/transformer_decoder/mask2former_transformer_decoder.py
-# Modified by Jitesh Jain (https://github.com/praeclarumjj3)
-... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/oneformer/oneformer/modeling/transformer_decoder/oneformer_transformer_decoder.py |
Write docstrings for algorithm functions | # ------------------------------------------------------------------------------
# Reference: https://github.com/facebookresearch/Mask2Former/blob/main/mask2former/modeling/transformer_decoder/position_encoding.py
# Modified by Jitesh Jain (https://github.com/praeclarumjj3)
# -------------------------------------------... | --- +++ @@ -1,60 +1,67 @@-# ------------------------------------------------------------------------------
-# Reference: https://github.com/facebookresearch/Mask2Former/blob/main/mask2former/modeling/transformer_decoder/position_encoding.py
-# Modified by Jitesh Jain (https://github.com/praeclarumjj3)
-# --------------... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/oneformer/oneformer/modeling/transformer_decoder/position_encoding.py |
Generate docstrings with examples | # ------------------------------------------------------------------------------
# Reference: https://github.com/facebookresearch/Mask2Former/blob/main/mask2former/maskformer_model.py
# Modified by Jitesh Jain (https://github.com/praeclarumjj3)
# -------------------------------------------------------------------------... | --- +++ @@ -1,419 +1,470 @@-# ------------------------------------------------------------------------------
-# Reference: https://github.com/facebookresearch/Mask2Former/blob/main/mask2former/maskformer_model.py
-# Modified by Jitesh Jain (https://github.com/praeclarumjj3)
-# ------------------------------------------... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/oneformer/oneformer/oneformer_model.py |
Write clean docstrings for readability | # ------------------------------------------------------------------------------
# Reference: https://github.com/facebookresearch/Mask2Former/blob/main/mask2former/data/dataset_mappers/coco_panoptic_new_baseline_dataset_mapper.py
# Modified by Jitesh Jain (https://github.com/praeclarumjj3)
# ---------------------------... | --- +++ @@ -1,306 +1,341 @@-# ------------------------------------------------------------------------------
-# Reference: https://github.com/facebookresearch/Mask2Former/blob/main/mask2former/data/dataset_mappers/coco_panoptic_new_baseline_dataset_mapper.py
-# Modified by Jitesh Jain (https://github.com/praeclarumjj3)... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/oneformer/oneformer/data/dataset_mappers/coco_unified_new_baseline_dataset_mapper.py |
Add docstrings to clarify complex logic | # Copyright (c) Facebook, Inc. and its affiliates.
from typing import Any, Callable, Dict, List, Optional, Union
import torch.utils.data as torchdata
from annotator.oneformer.detectron2.config import configurable
from annotator.oneformer.detectron2.data.common import DatasetFromList, MapDataset
from annotator.onefor... | --- +++ @@ -1,77 +1,117 @@-# Copyright (c) Facebook, Inc. and its affiliates.
-from typing import Any, Callable, Dict, List, Optional, Union
-import torch.utils.data as torchdata
-
-from annotator.oneformer.detectron2.config import configurable
-
-
-from annotator.oneformer.detectron2.data.common import DatasetFromList... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/oneformer/oneformer/data/build.py |
Add docstrings for utility scripts | # ------------------------------------------------------------------------------
# Reference: https://github.com/facebookresearch/Mask2Former/blob/main/mask2former/modeling/transformer_decoder/transformer.py
# Modified by Jitesh Jain (https://github.com/praeclarumjj3)
# -------------------------------------------------... | --- +++ @@ -1,367 +1,376 @@-# ------------------------------------------------------------------------------
-# Reference: https://github.com/facebookresearch/Mask2Former/blob/main/mask2former/modeling/transformer_decoder/transformer.py
-# Modified by Jitesh Jain (https://github.com/praeclarumjj3)
-# ------------------... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/oneformer/oneformer/modeling/transformer_decoder/transformer.py |
Write docstrings that follow conventions | import cv2
import numpy as np
def nms(boxes, scores, nms_thr):
x1 = boxes[:, 0]
y1 = boxes[:, 1]
x2 = boxes[:, 2]
y2 = boxes[:, 3]
areas = (x2 - x1 + 1) * (y2 - y1 + 1)
order = scores.argsort()[::-1]
keep = []
while order.size > 0:
i = order[0]
keep.append(i)
x... | --- +++ @@ -2,6 +2,7 @@ import numpy as np
def nms(boxes, scores, nms_thr):
+ """Single class NMS implemented in Numpy."""
x1 = boxes[:, 0]
y1 = boxes[:, 1]
x2 = boxes[:, 2]
@@ -30,6 +31,7 @@ return keep
def multiclass_nms(boxes, scores, nms_thr, score_thr):
+ """Multiclass NMS implemente... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/openpose/cv_ox_det.py |
Generate docstrings for script automation | # ------------------------------------------------------------------------------
# Reference: https://github.com/facebookresearch/detectron2/blob/main/detectron2/data/dataset_mapper.py
# Modified by Jitesh Jain (https://github.com/praeclarumjj3)
# ------------------------------------------------------------------------... | --- +++ @@ -1,164 +1,203 @@-# ------------------------------------------------------------------------------
-# Reference: https://github.com/facebookresearch/detectron2/blob/main/detectron2/data/dataset_mapper.py
-# Modified by Jitesh Jain (https://github.com/praeclarumjj3)
-# -----------------------------------------... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/oneformer/oneformer/data/dataset_mappers/dataset_mapper.py |
Document helper functions with docstrings | __author__ = 'tsungyi'
import numpy as np
import datetime
import time
from collections import defaultdict
from . import mask as maskUtils
import copy
class COCOeval:
# Interface for evaluating detection on the Microsoft COCO dataset.
#
# The usage for CocoEval is as follows:
# cocoGt=..., cocoDt=... ... | --- +++ @@ -58,6 +58,12 @@ # Code written by Piotr Dollar and Tsung-Yi Lin, 2015.
# Licensed under the Simplified BSD License [see coco/license.txt]
def __init__(self, cocoGt=None, cocoDt=None, iouType='segm'):
+ '''
+ Initialize CocoEval using coco APIs for gt and dt
+ :param cocoGt:... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/oneformer/pycocotools/cocoeval.py |
Write proper docstrings for these functions | # ------------------------------------------------------------------------------
# Reference: https://github.com/facebookresearch/Mask2Former/blob/main/mask2former/data/dataset_mappers/mask_former_panoptic_dataset_mapper.py
# Modified by Jitesh Jain (https://github.com/praeclarumjj3)
# ---------------------------------... | --- +++ @@ -1,348 +1,375 @@-# ------------------------------------------------------------------------------
-# Reference: https://github.com/facebookresearch/Mask2Former/blob/main/mask2former/data/dataset_mappers/mask_former_panoptic_dataset_mapper.py
-# Modified by Jitesh Jain (https://github.com/praeclarumjj3)
-# --... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/oneformer/oneformer/data/dataset_mappers/oneformer_unified_dataset_mapper.py |
Can you add docstrings to this Python file? | # Openpose
# Original from CMU https://github.com/CMU-Perceptual-Computing-Lab/openpose
# 2nd Edited by https://github.com/Hzzone/pytorch-openpose
# 3rd Edited by ControlNet
# 4th Edited by ControlNet (added face and correct hands)
# 5th Edited by ControlNet (Improved JSON serialization/deserialization, and lots of bug... | --- +++ @@ -45,6 +45,20 @@ def draw_poses(
poses: List[HumanPoseResult], H, W, draw_body=True, draw_hand=True, draw_face=True
):
+ """
+ Draw the detected poses on an empty canvas.
+
+ Args:
+ poses (List[HumanPoseResult]): A list of HumanPoseResult objects containing the detected poses.
+ ... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/openpose/__init__.py |
Generate consistent docstrings | from typing import List, Tuple
import cv2
import numpy as np
def preprocess(
img: np.ndarray, out_bbox, input_size: Tuple[int, int] = (192, 256)
) -> Tuple[np.ndarray, np.ndarray, np.ndarray]:
# get shape of image
img_shape = img.shape[:2]
out_img, out_center, out_scale = [], [], []
if len(out_bbo... | --- +++ @@ -6,6 +6,18 @@ def preprocess(
img: np.ndarray, out_bbox, input_size: Tuple[int, int] = (192, 256)
) -> Tuple[np.ndarray, np.ndarray, np.ndarray]:
+ """Do preprocessing for DWPose model inference.
+
+ Args:
+ img (np.ndarray): Input image in shape.
+ input_size (tuple): Input image s... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/openpose/cv_ox_pose.py |
Write docstrings describing each step | # ------------------------------------------------------------------------------
# Reference: https://github.com/facebookresearch/detectron2/blob/main/detectron2/evaluation/cityscapes_evaluation.py
# Modified by Jitesh Jain (https://github.com/praeclarumjj3)
# -----------------------------------------------------------... | --- +++ @@ -1,172 +1,201 @@-# ------------------------------------------------------------------------------
-# Reference: https://github.com/facebookresearch/detectron2/blob/main/detectron2/evaluation/cityscapes_evaluation.py
-# Modified by Jitesh Jain (https://github.com/praeclarumjj3)
-# ----------------------------... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/oneformer/oneformer/evaluation/cityscapes_evaluation.py |
Add standardized docstrings across the file |
# import pytorch
import torch
import torch.nn.functional as F
@torch.jit.script
def smish(input):
return input * torch.tanh(torch.log(1+torch.sigmoid(input))) | --- +++ @@ -1,3 +1,9 @@+"""
+Script based on:
+Wang, Xueliang, Honge Ren, and Achuan Wang.
+ "Smish: A Novel Activation Function for Deep Learning Methods.
+ " Electronics 11.4 (2022): 540.
+"""
# import pytorch
import torch
@@ -6,4 +12,9 @@
@torch.jit.script
def smish(input):
+ """
+ Applies the mish func... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/teed/Fsmish.py |
Add docstrings to meet PEP guidelines | # --------------------------------------------------------
# Position embedding utils
# --------------------------------------------------------
from typing import Tuple
import numpy as np
import torch
# --------------------------------------------------------
# 2D sine-cosine position embedding
# References:
# Tra... | --- +++ @@ -1,112 +1,122 @@-# --------------------------------------------------------
-# Position embedding utils
-# --------------------------------------------------------
-
-from typing import Tuple
-
-import numpy as np
-import torch
-
-
-# --------------------------------------------------------
-# 2D sine-cosine... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/oneformer/oneformer/utils/pos_embed.py |
Add docstrings to meet PEP guidelines | # Copyright (c) Facebook, Inc. and its affiliates.
# Modified by Bowen Cheng from https://github.com/facebookresearch/detr/blob/master/util/misc.py
from typing import List, Optional
import torch
import torch.distributed as dist
import torchvision
from torch import Tensor
import warnings
import torch.nn.functional as F... | --- +++ @@ -1,176 +1,197 @@-# Copyright (c) Facebook, Inc. and its affiliates.
-# Modified by Bowen Cheng from https://github.com/facebookresearch/detr/blob/master/util/misc.py
-from typing import List, Optional
-
-import torch
-import torch.distributed as dist
-import torchvision
-from torch import Tensor
-import warn... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/oneformer/oneformer/utils/misc.py |
Help me comply with documentation standards | # ------------------------------------------------------------------------------
# Reference: https://github.com/facebookresearch/detectron2/blob/main/detectron2/evaluation/coco_evaluation.py
# Modified by Jitesh Jain (https://github.com/praeclarumjj3)
# -----------------------------------------------------------------... | --- +++ @@ -1,463 +1,563 @@-# ------------------------------------------------------------------------------
-# Reference: https://github.com/facebookresearch/detectron2/blob/main/detectron2/evaluation/coco_evaluation.py
-# Modified by Jitesh Jain (https://github.com/praeclarumjj3)
-# ----------------------------------... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/oneformer/oneformer/evaluation/coco_evaluator.py |
Document functions with clear intent | # Copyright (c) Facebook, Inc. and its affiliates.
import logging
import numpy as np
from typing import Callable, Dict, List, Optional, Tuple, Union
import fvcore.nn.weight_init as weight_init
import torch
from torch import nn
from torch.nn import functional as F
from torch.nn.init import xavier_uniform_, constant_, u... | --- +++ @@ -1,288 +1,312 @@-# Copyright (c) Facebook, Inc. and its affiliates.
-import logging
-import numpy as np
-from typing import Callable, Dict, List, Optional, Tuple, Union
-
-import fvcore.nn.weight_init as weight_init
-import torch
-from torch import nn
-from torch.nn import functional as F
-from torch.nn.init... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/oneformer/oneformer/modeling/pixel_decoder/fpn.py |
Generate NumPy-style docstrings | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import torch, os
from torchvision.ops.boxes import box_area
def box_cxcywh_to_xyxy(x):
x_c, y_c, w, h = x.unbind(-1)
b = [(x_c - 0.5 * w), (y_c - 0.5 * h),
(x_c + 0.5 * w), (y_c + 0.5 * h)]
return torch.stack(b, dim=-1)
def ... | --- +++ @@ -1,113 +1,133 @@-# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
-import torch, os
-from torchvision.ops.boxes import box_area
-
-
-def box_cxcywh_to_xyxy(x):
- x_c, y_c, w, h = x.unbind(-1)
- b = [(x_c - 0.5 * w), (y_c - 0.5 * h),
- (x_c + 0.5 * w), (y_c + 0.5 * h)]
- ... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/oneformer/oneformer/utils/box_ops.py |
Create docstrings for API functions |
# import pytorch
import torch
import torch.nn.functional as F
from torch import nn
# import activation functions
from .Fmish import mish
class Mish(nn.Module):
def __init__(self):
super().__init__()
def forward(self, input):
if torch.__version__ >= "1.9":
return F.mish(input)
... | --- +++ @@ -1,3 +1,7 @@+"""
+Applies the mish function element-wise:
+mish(x) = x * tanh(softplus(x)) = x * tanh(ln(1 + exp(x)))
+"""
# import pytorch
import torch
@@ -9,11 +13,30 @@
class Mish(nn.Module):
+ """
+ Applies the mish function element-wise:
+ mish(x) = x * tanh(softplus(x)) = x * tanh(ln(1... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/teed/Xmish.py |
Add docstrings including usage examples | import math
import numpy as np
import matplotlib
import cv2
from typing import List, Tuple, Union, Optional
from .body import BodyResult, Keypoint
eps = 0.01
def smart_resize(x, s):
Ht, Wt = s
if x.ndim == 2:
Ho, Wo = x.shape
Co = 1
else:
Ho, Wo, Co = x.shape
if Co == 3 or Co... | --- +++ @@ -79,6 +79,19 @@
def draw_bodypose(canvas: np.ndarray, keypoints: List[Keypoint]) -> np.ndarray:
+ """
+ Draw keypoints and limbs representing body pose on a given canvas.
+
+ Args:
+ canvas (np.ndarray): A 3D numpy array representing the canvas (image) on which to draw the body pose.
... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/openpose/util.py |
Write docstrings that follow conventions |
import math
import torch
import torch.nn as nn
import torch.nn.functional as F
from modules import devices
nets = {
'baseline': {
'layer0': 'cv',
'layer1': 'cv',
'layer2': 'cv',
'layer3': 'cv',
'layer4': 'cv',
'layer5': 'cv',
'layer6': 'cv',
... | --- +++ @@ -1,3 +1,7 @@+"""
+Author: Zhuo Su, Wenzhe Liu
+Date: Feb 18, 2021
+"""
import math
@@ -346,6 +350,9 @@ return self.pdc(input, self.weight, self.bias, self.stride, self.padding, self.dilation, self.groups)
class CSAM(nn.Module):
+ """
+ Compact Spatial Attention Module
+ """
def ... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/pidinet/model.py |
Add minimal docstrings for each function | import os
import wandb
from annotator.oneformer.detectron2.utils import comm
from annotator.oneformer.detectron2.utils.events import EventWriter, get_event_storage
def setup_wandb(cfg, args):
if comm.is_main_process():
init_args = {
k.lower(): v
for k, v in cfg.WANDB.items()
... | --- +++ @@ -1,112 +1,120 @@-import os
-import wandb
-from annotator.oneformer.detectron2.utils import comm
-from annotator.oneformer.detectron2.utils.events import EventWriter, get_event_storage
-
-
-def setup_wandb(cfg, args):
- if comm.is_main_process():
- init_args = {
- k.lower(): v
- ... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/oneformer/oneformer/utils/events.py |
Add docstrings that explain purpose and usage |
# import pytorch
import torch
import torch.nn.functional as F
@torch.jit.script
def mish(input):
return input * torch.tanh(F.softplus(input)) | --- +++ @@ -1,3 +1,6 @@+"""
+Script provides functional interface for Mish activation function.
+"""
# import pytorch
import torch
@@ -6,4 +9,9 @@
@torch.jit.script
def mish(input):
+ """
+ Applies the mish function element-wise:
+ mish(x) = x * tanh(softplus(x)) = x * tanh(ln(1 + exp(x)))
+ See addi... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/teed/Fmish.py |
Add docstrings to incomplete code |
# import pytorch
import torch
import torch.nn.functional as F
from torch import nn
# import activation functions
from .Fsmish import smish
class Smish(nn.Module):
def __init__(self):
super().__init__()
def forward(self, input):
return smish(input) | --- +++ @@ -1,3 +1,10 @@+"""
+Script based on:
+Wang, Xueliang, Honge Ren, and Achuan Wang.
+ "Smish: A Novel Activation Function for Deep Learning Methods.
+ " Electronics 11.4 (2022): 540.
+smish(x) = x * tanh(softplus(x)) = x * tanh(ln(1 + sigmoid(x)))
+"""
# import pytorch
import torch
@@ -9,9 +16,28 @@
cla... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/teed/Xsmish.py |
Improve documentation using docstrings | __author__ = 'tylin'
__version__ = '2.0'
# Interface for accessing the Microsoft COCO dataset.
# Microsoft COCO is a large image dataset designed for object detection,
# segmentation, and caption generation. annotator.oneformer.pycocotools is a Python API that
# assists in loading, parsing and visualizing the annotati... | --- +++ @@ -66,6 +66,12 @@
class COCO:
def __init__(self, annotation_file=None):
+ """
+ Constructor of Microsoft COCO helper class for reading and visualizing annotations.
+ :param annotation_file (str): location of annotation file
+ :param image_folder (str): location to the folder ... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/oneformer/pycocotools/coco.py |
Provide docstrings following PEP 257 | # MIT License
import os
# Copyright (c) 2022 Intelligent Systems Lab Org
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to us... | --- +++ @@ -1,336 +1,379 @@-# MIT License
-import os
-
-# Copyright (c) 2022 Intelligent Systems Lab Org
-
-# Permission is hereby granted, free of charge, to any person obtaining a copy
-# of this software and associated documentation files (the "Software"), to deal
-# in the Software without restriction, including wi... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/zoe/zoedepth/models/base_models/midas.py |
Write Python docstrings for this snippet |
import torch
try:
import mmcv as mmcv
from mmcv.parallel import collate, scatter
from mmcv.runner import load_checkpoint
from mmseg.datasets.pipelines import Compose
from mmseg.models import build_segmentor
except ImportError:
import annotator.mmpkg.mmcv as mmcv
from annotator.mmpkg.mmcv.p... | --- +++ @@ -15,6 +15,18 @@ from annotator.mmpkg.mmseg.models import build_segmentor
def init_segmentor(config, checkpoint=None, device='cuda:0'):
+ """Initialize a segmentor from config file.
+
+ Args:
+ config (str or :obj:`mmcv.Config`): Config file path or the config
+ object.
+ ... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/uniformer/inference.py |
Add docstrings for better understanding | dependencies = ["torch"]
import torch
from midas.dpt_depth import DPTDepthModel
from midas.midas_net import MidasNet
from midas.midas_net_custom import MidasNet_small
def DPT_BEiT_L_512(pretrained=True, **kwargs):
model = DPTDepthModel(
path=None,
backbone="beitl16_512",
non_... | --- +++ @@ -1,383 +1,435 @@-dependencies = ["torch"]
-
-import torch
-
-from midas.dpt_depth import DPTDepthModel
-from midas.midas_net import MidasNet
-from midas.midas_net_custom import MidasNet_small
-
-def DPT_BEiT_L_512(pretrained=True, **kwargs):
-
- model = DPTDepthModel(
- path=None,
- ... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/zoe/zoedepth/models/base_models/midas_repo/hubconf.py |
Help me document legacy Python code | import timm
import torch
import torch.nn as nn
import numpy as np
from .utils import activations, get_activation, Transpose
def forward_levit(pretrained, x):
pretrained.model.forward_features(x)
layer_1 = pretrained.activations["1"]
layer_2 = pretrained.activations["2"]
layer_3 = pretrained.activati... | --- +++ @@ -1,96 +1,106 @@-import timm
-import torch
-import torch.nn as nn
-import numpy as np
-
-from .utils import activations, get_activation, Transpose
-
-
-def forward_levit(pretrained, x):
- pretrained.model.forward_features(x)
-
- layer_1 = pretrained.activations["1"]
- layer_2 = pretrained.activations... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/zoe/zoedepth/models/base_models/midas_repo/midas/backbones/levit.py |
Document this code for team use | import torch
import torch.nn as nn
from .backbones.beit import (
_make_pretrained_beitl16_512,
_make_pretrained_beitl16_384,
_make_pretrained_beitb16_384,
forward_beit,
)
from .backbones.swin_common import (
forward_swin,
)
from .backbones.swin2 import (
_make_pretrained_swin2l24_384,
_make... | --- +++ @@ -1,368 +1,439 @@-import torch
-import torch.nn as nn
-
-from .backbones.beit import (
- _make_pretrained_beitl16_512,
- _make_pretrained_beitl16_384,
- _make_pretrained_beitb16_384,
- forward_beit,
-)
-from .backbones.swin_common import (
- forward_swin,
-)
-from .backbones.swin2 import (
- ... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/zoe/zoedepth/models/base_models/midas_repo/midas/blocks.py |
Add professional docstrings to my codebase | import os
import glob
import torch
import utils
import cv2
import argparse
import time
import numpy as np
from imutils.video import VideoStream
from midas.model_loader import default_models, load_model
from modules import devices
first_execution = True
def process(device, model, model_type, image, input_size, targe... | --- +++ @@ -1,236 +1,279 @@-import os
-import glob
-import torch
-import utils
-import cv2
-import argparse
-import time
-
-import numpy as np
-
-from imutils.video import VideoStream
-from midas.model_loader import default_models, load_model
-
-from modules import devices
-
-first_execution = True
-def process(device,... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/zoe/zoedepth/models/base_models/midas_repo/run.py |
Add missing documentation to my Python functions | import os
import glob
import utils
import cv2
import argparse
import tensorflow as tf
from transforms import Resize, NormalizeImage, PrepareForNet
def run(input_path, output_path, model_path, model_type="large"):
print("initialize")
# the runtime initialization will not allocate all memory on the device to ... | --- +++ @@ -1,126 +1,135 @@-import os
-import glob
-import utils
-import cv2
-import argparse
-
-import tensorflow as tf
-
-from transforms import Resize, NormalizeImage, PrepareForNet
-
-def run(input_path, output_path, model_path, model_type="large"):
- print("initialize")
-
- # the runtime initialization will ... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/zoe/zoedepth/models/base_models/midas_repo/tf/run_pb.py |
Generate consistent docstrings | import sys
import re
import numpy as np
import cv2
import torch
def read_pfm(path):
with open(path, "rb") as file:
color = None
width = None
height = None
scale = None
endian = None
header = file.readline().rstrip()
if header.decode("ascii") == "PF":
... | --- +++ @@ -1,149 +1,199 @@-import sys
-import re
-import numpy as np
-import cv2
-import torch
-
-
-def read_pfm(path):
- with open(path, "rb") as file:
-
- color = None
- width = None
- height = None
- scale = None
- endian = None
-
- header = file.readline().rstrip()
- ... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/zoe/zoedepth/models/base_models/midas_repo/utils.py |
Create docstrings for all classes and functions | import numpy as np
import sys
import cv2
def write_pfm(path, image, scale=1):
with open(path, "wb") as file:
color = None
if image.dtype.name != "float32":
raise Exception("Image dtype must be float32.")
image = np.flipud(image)
if len(image.shape) == 3 and image.sh... | --- +++ @@ -1,65 +1,82 @@-import numpy as np
-import sys
-import cv2
-
-
-def write_pfm(path, image, scale=1):
-
- with open(path, "wb") as file:
- color = None
-
- if image.dtype.name != "float32":
- raise Exception("Image dtype must be float32.")
-
- image = np.flipud(image)
-
- ... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/zoe/zoedepth/models/base_models/midas_repo/tf/utils.py |
Document my Python code with docstrings | # MIT License
# Copyright (c) 2022 Intelligent Systems Lab Org
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, m... | --- +++ @@ -1,65 +1,91 @@-# MIT License
-
-# Copyright (c) 2022 Intelligent Systems Lab Org
-
-# Permission is hereby granted, free of charge, to any person obtaining a copy
-# of this software and associated documentation files (the "Software"), to deal
-# in the Software without restriction, including without limitat... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/zoe/zoedepth/models/layers/patch_transformer.py |
Turn comments into proper docstrings | # MIT License
# Copyright (c) 2022 Intelligent Systems Lab Org
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, m... | --- +++ @@ -1,85 +1,121 @@-# MIT License
-
-# Copyright (c) 2022 Intelligent Systems Lab Org
-
-# Permission is hereby granted, free of charge, to any person obtaining a copy
-# of this software and associated documentation files (the "Software"), to deal
-# in the Software without restriction, including without limita... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/zoe/zoedepth/models/layers/dist_layers.py |
Add docstrings to my Python code | # MIT License
# Copyright (c) 2022 Intelligent Systems Lab Org
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, m... | --- +++ @@ -1,71 +1,92 @@-# MIT License
-
-# Copyright (c) 2022 Intelligent Systems Lab Org
-
-# Permission is hereby granted, free of charge, to any person obtaining a copy
-# of this software and associated documentation files (the "Software"), to deal
-# in the Software without restriction, including without limitat... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/zoe/zoedepth/models/model_io.py |
Provide docstrings following PEP 257 | # MIT License
# Copyright (c) 2022 Intelligent Systems Lab Org
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, m... | --- +++ @@ -1,165 +1,208 @@-# MIT License
-
-# Copyright (c) 2022 Intelligent Systems Lab Org
-
-# Permission is hereby granted, free of charge, to any person obtaining a copy
-# of this software and associated documentation files (the "Software"), to deal
-# in the Software without restriction, including without limit... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/zoe/zoedepth/models/layers/attractor.py |
Add docstrings for internal functions | # MIT License
# Copyright (c) 2022 Intelligent Systems Lab Org
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, m... | --- +++ @@ -1,206 +1,250 @@-# MIT License
-
-# Copyright (c) 2022 Intelligent Systems Lab Org
-
-# Permission is hereby granted, free of charge, to any person obtaining a copy
-# of this software and associated documentation files (the "Software"), to deal
-# in the Software without restriction, including without limit... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/zoe/zoedepth/models/zoedepth/zoedepth_v1.py |
Insert docstrings into my code | # MIT License
# Copyright (c) 2022 Intelligent Systems Lab Org
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, m... | --- +++ @@ -1,311 +1,368 @@-# MIT License
-
-# Copyright (c) 2022 Intelligent Systems Lab Org
-
-# Permission is hereby granted, free of charge, to any person obtaining a copy
-# of this software and associated documentation files (the "Software"), to deal
-# in the Software without restriction, including without limit... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/zoe/zoedepth/utils/misc.py |
Turn comments into proper docstrings |
class EasyDict(dict):
def __init__(self, d=None, **kwargs):
if d is None:
d = {}
else:
d = dict(d)
if kwargs:
d.update(**kwargs)
for k, v in d.items():
setattr(self, k, v)
# Class attributes
for k in self.__clas... | --- +++ @@ -1,41 +1,158 @@-
-class EasyDict(dict):
- def __init__(self, d=None, **kwargs):
- if d is None:
- d = {}
- else:
- d = dict(d)
- if kwargs:
- d.update(**kwargs)
- for k, v in d.items():
- setattr(self, k, v)
- # Class a... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/zoe/zoedepth/utils/easydict/__init__.py |
Generate docstrings for each module | # MIT License
# Copyright (c) 2022 Intelligent Systems Lab Org
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, m... | --- +++ @@ -1,396 +1,437 @@-# MIT License
-
-# Copyright (c) 2022 Intelligent Systems Lab Org
-
-# Permission is hereby granted, free of charge, to any person obtaining a copy
-# of this software and associated documentation files (the "Software"), to deal
-# in the Software without restriction, including without limit... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/zoe/zoedepth/utils/config.py |
Generate documentation strings for clarity | # MIT License
# Copyright (c) 2022 Intelligent Systems Lab Org
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, m... | --- +++ @@ -1,83 +1,98 @@-# MIT License
-
-# Copyright (c) 2022 Intelligent Systems Lab Org
-
-# Permission is hereby granted, free of charge, to any person obtaining a copy
-# of this software and associated documentation files (the "Software"), to deal
-# in the Software without restriction, including without limitat... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/zoe/zoedepth/utils/geometry.py |
Improve my code by adding docstrings | from copy import copy
from typing import List, Any, Optional, Union, Tuple, Dict
import numpy as np
from modules import scripts, processing, shared
from modules.api import api
from .args import ControlNetUnit
from scripts import global_state
from scripts.logging import logger
from scripts.enums import (
ResizeMode... | --- +++ @@ -70,6 +70,30 @@ target_W: int,
resize_mode: ResizeMode,
) -> int:
+ """
+ Calculate the estimated resolution for resizing an image while preserving aspect ratio.
+
+ The function first calculates scaling factors for height and width of the image based on the target
+ height and width. T... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/internal_controlnet/external_code.py |
Write proper docstrings for these functions | import torch
import torch.nn as nn
from collections import OrderedDict
from copy import deepcopy
from modules import devices
cond_cast_unet = getattr(devices, 'cond_cast_unet', lambda x: x)
class TorchHijackForUnet:
def __getattr__(self, item):
if item == 'cat':
return self.cat
if h... | --- +++ @@ -8,6 +8,10 @@
class TorchHijackForUnet:
+ """
+ This is torch, but with cat that resizes tensors to appropriate dimensions if they do not match;
+ this makes it possible to create pictures with dimensions that are multiples of 8 rather than 64
+ """
def __getattr__(self, item):
... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/scripts/adapter.py |
Create structured documentation for my script | import launch
from importlib import metadata
import sys
import os
import shutil
import platform
from pathlib import Path
from typing import Optional
from packaging.version import parse
repo_root = Path(__file__).parent
main_req_file = repo_root / "requirements.txt"
def get_installed_version(package: str) -> Optiona... | --- +++ @@ -71,6 +71,10 @@
def install_onnxruntime():
+ """
+ Install onnxruntime or onnxruntime-gpu based on the availability of CUDA.
+ onnxruntime and onnxruntime-gpu can not be installed together.
+ """
if not launch.is_installed("onnxruntime") and not launch.is_installed("onnxruntime-gpu"):
... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/install.py |
Add docstrings to make code maintainable | # Copyright (c) Open-MMLab. All rights reserved.
import io
import os
import os.path as osp
import pkgutil
import time
import warnings
from collections import OrderedDict
from importlib import import_module
from tempfile import TemporaryDirectory
import torch
import torchvision
from torch.optim import Optimizer
from to... | --- +++ @@ -47,6 +47,21 @@
def load_state_dict(module, state_dict, strict=False, logger=None):
+ """Load state_dict to a module.
+
+ This method is modified from :meth:`torch.nn.Module.load_state_dict`.
+ Default value for ``strict`` is set to ``False`` and the message for
+ param mismatch will be shown... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/uniformer/mmcv_custom/checkpoint.py |
Annotate my code with docstrings | # --------------------------------------------------------
# UniFormer
# Copyright (c) 2022 SenseTime X-Lab
# Licensed under The MIT License [see LICENSE for details]
# Written by Kunchang Li
# --------------------------------------------------------
import torch
import torch.nn as nn
import torch.nn.functional as F
... | --- +++ @@ -140,6 +140,13 @@
def window_partition(x, window_size):
+ """
+ Args:
+ x: (B, H, W, C)
+ window_size (int): window size
+ Returns:
+ windows: (num_windows*B, window_size, window_size, C)
+ """
B, H, W, C = x.shape
x = x.view(B, H // window_size, window_size, W ... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/uniformer/uniformer.py |
Add docstrings that explain purpose and usage | import timm
import torch
import types
import numpy as np
import torch.nn.functional as F
from .utils import forward_adapted_unflatten, make_backbone_default
from timm.models.beit import gen_relative_position_index
from torch.utils.checkpoint import checkpoint
from typing import Optional
def forward_beit(pretrained,... | --- +++ @@ -1,183 +1,198 @@-import timm
-import torch
-import types
-
-import numpy as np
-import torch.nn.functional as F
-
-from .utils import forward_adapted_unflatten, make_backbone_default
-from timm.models.beit import gen_relative_position_index
-from torch.utils.checkpoint import checkpoint
-from typing import O... | https://raw.githubusercontent.com/Mikubill/sd-webui-controlnet/HEAD/annotator/zoe/zoedepth/models/base_models/midas_repo/midas/backbones/beit.py |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.