README.md

tags	title	short_description	colorFrom	colorTo	sdk	pinned	app_file
gradio-custom-component BBoxAnnotator image annotation bbox	gradio_bbox_annotator	Bounding box annotation tool for Gradio	blue	yellow	gradio	false	space.py

gradio_bbox_annotator

Bounding box annotation tool for Gradio

Installation

pip install gradio_bbox_annotator

Usage

import gradio as gr
from gradio_bbox_annotator import BBoxAnnotator


example = BBoxAnnotator().example_value()

demo = gr.Interface(
    lambda x: x,
    BBoxAnnotator(value=example, show_label=False),  # input is interactive
    BBoxAnnotator(show_label=False),  # output is static
    examples=[[example]],  # examples are in the gallery format
)


if __name__ == "__main__":
    demo.launch()

BBoxAnnotator

Initialization

name	type	default	description
value	str | Path | tuple[ str | Path, list[tuple[int, int, int, int, str | None]], ] | None	None	A path or URL for the image, or a tuple of the image and list of (left, top, right, bottom, label) annotations.
categories	list[str] | None	None	a list of categories to choose from when annotating the image.
label	str | None	None	the label for this component, displayed above the component if `show_label` is `True` and is also used as the header if there are a table of examples for this component. If None and used in a `gr.Interface`, the label will be the name of the parameter this component corresponds to.
every	Timer | float | None	None	Continously calls `value` to recalculate it if `value` is a function (has no effect otherwise). Can provide a Timer whose tick resets `value`, or a float that provides the regular interval for the reset Timer.
inputs	Component | Sequence[Component] | set[Component] | None	None	Components that are used as inputs to calculate `value` if `value` is a function (has no effect otherwise). `value` is recalculated any time the inputs change.
show_label	bool | None	None	if True, will display label.
show_download_button	bool	True	If True, will display button to download annotations.
container	bool	True	If True, will place the component in a container - providing some extra padding around the border.
scale	int | None	None	relative size compared to adjacent Components. For example if Components A and B are in a Row, and A has scale=2, and B has scale=1, A will be twice as wide as B. Should be an integer. scale applies in Rows, and to top-level Components in Blocks where fill_height=True.
min_width	int	160	minimum pixel width, will wrap if not sufficient screen space to satisfy this value. If a certain scale value results in this Component being narrower than min_width, the min_width parameter will be respected first.
interactive	bool | None	None	if True, will allow users to upload and edit an image; if False, can only be used to display images. If not provided, this is inferred based on whether the component is used as an input or output.
visible	bool	True	If False, component will be hidden.
elem_id	str | None	None	An optional string that is assigned as the id of this component in the HTML DOM. Can be used for targeting CSS styles.
elem_classes	list[str] | str | None	None	An optional list of strings that are assigned as the classes of this component in the HTML DOM. Can be used for targeting CSS styles.
render	bool	True	If False, component will not render be rendered in the Blocks context. Should be used if the intention is to assign event listeners now but render the component later.
key	int | str | None	None	if assigned, will be used to assume identity across a re-render. Components that have the same key across a re-render will have their value preserved.

Events

name	description
clear	This listener is triggered when the user clears the BBoxAnnotator using the clear button for the component.
change	Triggered when the value of the BBoxAnnotator changes either because of user input (e.g. a user types in a textbox) OR because of a function update (e.g. an image receives a value from the output of an event trigger). See .input() for a listener that is only triggered by user input.
upload	This listener is triggered when the user uploads a file into the BBoxAnnotator.

User function

The impact on the users predict function varies depending on whether the component is used as an input or output for an event (or both).

• When used as an Input, the component only impacts the input signature of the user function.
• When used as an output, the component only impacts the return signature of the user function.

The code snippet below is accurate in cases where the component is used as both an input and an output.

• As output: Is passed, a tuple of str containing the path to the image and a list of annotations.
• As input: Should return, expects a str or pathlib.Path object containing the path to the image, or a tuple of.

def predict(
    value: tuple[str, list[tuple[int, int, int, int, str | None]]]
   | None
) -> str
   | pathlib.Path
   | tuple[
       str | pathlib.Path,
       list[tuple[int, int, int, int, str | None]],
   ]
   | None:
    return value