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[Docs] Fix docstring format and rescale the images #802

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Dec 8, 2022
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[Docs] Fix docstring format and rescale the images #802

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4 changes: 3 additions & 1 deletion docs/en/advanced_tutorials/basedataset.md
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Original file line number Diff line number Diff line change
Expand Up @@ -57,7 +57,9 @@ data

The initialization process of the `BaseDataset` is shown as follows:

![image](https://user-images.githubusercontent.com/26813582/201585974-1360e2b5-f95f-4273-8cbf-6024e33204ab.png)
<div align="center">
<img src="https://user-images.githubusercontent.com/26813582/201585974-1360e2b5-f95f-4273-8cbf-6024e33204ab.png" height="500"/>
</div>

1. `load metainfo`: Obtain the meta information of the dataset. The meta information can be obtained from three sources with the priority from high to low:

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4 changes: 3 additions & 1 deletion docs/zh_cn/advanced_tutorials/basedataset.md
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Expand Up @@ -57,7 +57,9 @@ data

数据集基类的初始化流程如下图所示：

![image](https://user-images.githubusercontent.com/26813582/201585974-1360e2b5-f95f-4273-8cbf-6024e33204ab.png)
<div align="center">
<img src="https://user-images.githubusercontent.com/26813582/201585974-1360e2b5-f95f-4273-8cbf-6024e33204ab.png" height="500"/>
</div>

1. `load metainfo`：获取数据集的元信息，元信息有三种来源，优先级从高到低为：

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60 changes: 30 additions & 30 deletions mmengine/visualization/visualizer.py
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Expand Up @@ -138,19 +138,19 @@ class Visualizer(ManagerMixin):

>>> # inherit
>>> class DetLocalVisualizer(Visualizer):
>>> def add_datasample(self,
>>> name,
>>> image: np.ndarray,
>>> gt_sample:
>>> Optional['BaseDataElement'] = None,
>>> pred_sample:
>>> Optional['BaseDataElement'] = None,
>>> draw_gt: bool = True,
>>> draw_pred: bool = True,
>>> show: bool = False,
>>> wait_time: int = 0,
>>> step: int = 0) -> None:
>>> pass
>>> def add_datasample(self,
>>> name,
>>> image: np.ndarray,
>>> gt_sample:
>>> Optional['BaseDataElement'] = None,
>>> pred_sample:
>>> Optional['BaseDataElement'] = None,
>>> draw_gt: bool = True,
>>> draw_pred: bool = True,
>>> show: bool = False,
>>> wait_time: int = 0,
>>> step: int = 0) -> None:
>>> pass
"""

def __init__(
Expand Down Expand Up @@ -375,9 +375,9 @@ def draw_points(self,
for more details. Defaults to 'g.
marker (str, optional): The marker style.
See :mod:`matplotlib.markers` for more information about
marker styles. Default to None.
marker styles. Defaults to None.
sizes (Optional[Union[np.ndarray, torch.Tensor]]): The marker size.
Default to None.
Defaults to None.
"""
check_type('positions', positions, (np.ndarray, torch.Tensor))
positions = tensor2ndarray(positions)
Expand Down Expand Up @@ -443,7 +443,7 @@ def draw_texts(
just single value. If ``font_families`` is single value, all
the texts will have the same font family.
font_familiy can be 'serif', 'sans-serif', 'cursive', 'fantasy'
or 'monospace'. Defaults to 'sans-serif'.
or 'monospace'. Defaults to 'sans-serif'.
bboxes (Union[dict, List[dict]], optional): The bounding box of the
texts. If bboxes is None, there are no bounding box around
texts. ``bboxes`` can have the same length with texts or
Expand Down Expand Up @@ -689,7 +689,7 @@ def draw_bboxes(
If ``line_widths`` is single value, all the lines will
have the same linewidth. Defaults to 2.
face_colors (Union[str, tuple, List[str], List[tuple]]):
The face colors. Default to None.
The face colors. Defaults to None.
alpha (Union[int, float]): The transparency of bboxes.
Defaults to 0.8.
"""
Expand Down Expand Up @@ -734,7 +734,7 @@ def draw_polygons(
"""Draw single or multiple bboxes.

Args:
polygons (Union[Union[np.ndarray, torch.Tensor],
polygons (Union[Union[np.ndarray, torch.Tensor],\
List[Union[np.ndarray, torch.Tensor]]]): The polygons to draw
with the format of (x1,y1,x2,y2,...,xn,yn).
edge_colors (Union[str, tuple, List[str], List[tuple]]): The
Expand All @@ -756,7 +756,7 @@ def draw_polygons(
If ``line_widths`` is single value, all the lines will
have the same linewidth. Defaults to 2.
face_colors (Union[str, tuple, List[str], List[tuple]]):
The face colors. Default to None.
The face colors. Defaults to None.
alpha (Union[int, float]): The transparency of polygons.
Defaults to 0.8.
"""
Expand Down Expand Up @@ -871,28 +871,28 @@ def draw_featmap(featmap: torch.Tensor,
"""Draw featmap.

- If `overlaid_image` is not None, the final output image will be the
weighted sum of img and featmap.
weighted sum of img and featmap.

- If `resize_shape` is specified, `featmap` and `overlaid_image`
are interpolated.
are interpolated.

- If `resize_shape` is None and `overlaid_image` is not None,
the feature map will be interpolated to the spatial size of the image
in the case where the spatial dimensions of `overlaid_image` and
`featmap` are different.
the feature map will be interpolated to the spatial size of the image
in the case where the spatial dimensions of `overlaid_image` and
`featmap` are different.

- If `channel_reduction` is "squeeze_mean" and "select_max",
it will compress featmap to single channel image and weighted
sum to `overlaid_image`.
it will compress featmap to single channel image and weighted
sum to `overlaid_image`.

- if `channel_reduction` is None

- If topk <= 0, featmap is assert to be one or three
channel and treated as image and will be weighted sum
to ``overlaid_image``.
channel and treated as image and will be weighted sum
to ``overlaid_image``.
- If topk > 0, it will select topk channel to show by the sum of
each channel. At the same time, you can specify the `arrangement`
to set the window layout.
each channel. At the same time, you can specify the `arrangement`
to set the window layout.

Args:
featmap (torch.Tensor): The featmap to draw which format is
Expand Down