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README.md

@@ -1,19 +1,3 @@
----
-tags:
-- gradio-custom-component
-- gradio-template-Image
-- bounding box
-- annotator
-- annotate
-- boxes
-title: gradio_image_annotation V0.2.1
-colorFrom: yellow
-colorTo: green
-sdk: docker
-pinned: false
-license: apache-2.0
-short_description: A Gradio component for image annotation
----
 
 # `gradio_image_annotation`
 <a href="https://pypi.org/project/gradio_image_annotation/" target="_blank"><img alt="PyPI - Version" src="https://img.shields.io/pypi/v/gradio_image_annotation"></a>  
@@ -99,7 +83,8 @@ with gr.Blocks() as demo:
             annotator_crop = image_annotator(
                 example_crop,
                 image_type="numpy",
-                disable_edit_boxes=True
+                disable_edit_boxes=True,
+                single_box=True,
             )
             image_crop = gr.Image()
         button_crop = gr.Button("Crop")
@@ -242,6 +227,19 @@ bool | None
 <td align="left">Disables the ability to set and edit the label and color of the boxes.</td>
 </tr>
 
+<tr>
+<td align="left"><code>single_box</code></td>
+<td align="left" style="width: 25%;">
+
+```python
+bool
+```
+
+</td>
+<td align="left"><code>False</code></td>
+<td align="left">If True, at most one box can be drawn.</td>
+</tr>
+
 <tr>
 <td align="left"><code>height</code></td>
 <td align="left" style="width: 25%;">

app.py

@@ -68,7 +68,8 @@ with gr.Blocks() as demo:
             annotator_crop = image_annotator(
                 example_crop,
                 image_type="numpy",
-                disable_edit_boxes=True
+                disable_edit_boxes=True,
+                single_box=True,
             )
             image_crop = gr.Image()
         button_crop = gr.Button("Crop")

space.py

@@ -3,7 +3,7 @@ import gradio as gr
 from app import demo as app
 import os
 
-_docs = {'image_annotator': {'description': 'Creates a component to annotate images with bounding boxes. The bounding boxes can be created and edited by the user or be passed by code.\nIt is also possible to predefine a set of valid classes and colors.', 'members': {'__init__': {'value': {'type': 'dict | None', 'default': 'None', 'description': "A dict or None. The dictionary must contain a key 'image' with either an URL to an image, a numpy image or a PIL image. Optionally it may contain a key 'boxes' with a list of boxes. Each box must be a dict wit the keys: 'xmin', 'ymin', 'xmax' and 'ymax' with the absolute image coordinates of the box. Optionally can also include the keys 'label' and 'color' describing the label and color of the box. Color must be a tuple of RGB values (e.g. `(255,255,255)`)."}, 'boxes_alpha': {'type': 'float | None', 'default': 'None', 'description': 'Opacity of the bounding boxes 0 and 1.'}, 'label_list': {'type': 'list[str] | None', 'default': 'None', 'description': 'List of valid labels.'}, 'label_colors': {'type': 'list[str] | None', 'default': 'None', 'description': 'Optional list of colors for each label when `label_list` is used. Colors must be a tuple of RGB values (e.g. `(255,255,255)`).'}, 'box_min_size': {'type': 'int | None', 'default': 'None', 'description': 'Minimum valid bounding box size.'}, 'handle_size': {'type': 'int | None', 'default': 'None', 'description': 'Size of the bounding box resize handles.'}, 'box_thickness': {'type': 'int | None', 'default': 'None', 'description': 'Thickness of the bounding box outline.'}, 'box_selected_thickness': {'type': 'int | None', 'default': 'None', 'description': 'Thickness of the bounding box outline when it is selected.'}, 'disable_edit_boxes': {'type': 'bool | None', 'default': 'None', 'description': 'Disables the ability to set and edit the label and color of the boxes.'}, 'height': {'type': 'int | str | None', 'default': 'None', 'description': 'The height of the displayed image, specified in pixels if a number is passed, or in CSS units if a string is passed.'}, 'width': {'type': 'int | str | None', 'default': 'None', 'description': 'The width of the displayed image, specified in pixels if a number is passed, or in CSS units if a string is passed.'}, 'image_mode': {'type': '"1"\n    | "L"\n    | "P"\n    | "RGB"\n    | "RGBA"\n    | "CMYK"\n    | "YCbCr"\n    | "LAB"\n    | "HSV"\n    | "I"\n    | "F"', 'default': '"RGB"', 'description': '"RGB" if color, or "L" if black and white. See https://pillow.readthedocs.io/en/stable/handbook/concepts.html for other supported image modes and their meaning.'}, 'sources': {'type': 'list["upload" | "clipboard"] | None', 'default': '["upload", "clipboard"]', 'description': 'List of sources for the image. "upload" creates a box where user can drop an image file, "clipboard" allows users to paste an image from the clipboard. If None, defaults to ["upload", "clipboard"].'}, 'image_type': {'type': '"numpy" | "pil" | "filepath"', 'default': '"numpy"', 'description': 'The format the image is converted before being passed into the prediction function. "numpy" converts the image to a numpy array with shape (height, width, 3) and values from 0 to 255, "pil" converts the image to a PIL image object, "filepath" passes a str path to a temporary file containing the image. If the image is SVG, the `type` is ignored and the filepath of the SVG is returned.'}, 'label': {'type': 'str | None', 'default': 'None', 'description': 'The label for this component. Appears above the component 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 is assigned to.'}, 'container': {'type': 'bool', 'default': 'True', 'description': 'If True, will place the component in a container - providing some extra padding around the border.'}, 'scale': {'type': 'int | None', 'default': 'None', 'description': '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': {'type': 'int', 'default': '160', 'description': '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': {'type': 'bool | None', 'default': 'True', 'description': 'if True, will allow users to upload and annotate an image; if False, can only be used to display annotated images.'}, 'visible': {'type': 'bool', 'default': 'True', 'description': 'If False, component will be hidden.'}, 'elem_id': {'type': 'str | None', 'default': 'None', 'description': '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': {'type': 'list[str] | str | None', 'default': 'None', 'description': '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': {'type': 'bool', 'default': 'True', 'description': '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.'}, 'show_label': {'type': 'bool | None', 'default': 'None', 'description': 'if True, will display label.'}, 'show_download_button': {'type': 'bool', 'default': 'True', 'description': 'If True, will show a button to download the image.'}, 'show_share_button': {'type': 'bool | None', 'default': 'None', 'description': 'If True, will show a share icon in the corner of the component that allows user to share outputs to Hugging Face Spaces Discussions. If False, icon does not appear. If set to None (default behavior), then the icon appears if this Gradio app is launched on Spaces, but not otherwise.'}, 'show_clear_button': {'type': 'bool | None', 'default': 'True', 'description': 'If True, will show a button to clear the current image.'}, 'show_remove_button': {'type': 'bool | None', 'default': 'None', 'description': 'If True, will show a button to remove the selected bounding box.'}}, 'postprocess': {'value': {'type': 'dict | None', 'description': 'A dict with an image and an optional list of boxes or None.'}}, 'preprocess': {'return': {'type': 'dict | None', 'description': 'A dict with the image and boxes or None.'}, 'value': None}}, 'events': {'clear': {'type': None, 'default': None, 'description': 'This listener is triggered when the user clears the image_annotator using the X button for the component.'}, 'change': {'type': None, 'default': None, 'description': 'Triggered when the value of the image_annotator 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': {'type': None, 'default': None, 'description': 'This listener is triggered when the user uploads a file into the image_annotator.'}}}, '__meta__': {'additional_interfaces': {}, 'user_fn_refs': {'image_annotator': []}}}
+_docs = {'image_annotator': {'description': 'Creates a component to annotate images with bounding boxes. The bounding boxes can be created and edited by the user or be passed by code.\nIt is also possible to predefine a set of valid classes and colors.', 'members': {'__init__': {'value': {'type': 'dict | None', 'default': 'None', 'description': "A dict or None. The dictionary must contain a key 'image' with either an URL to an image, a numpy image or a PIL image. Optionally it may contain a key 'boxes' with a list of boxes. Each box must be a dict wit the keys: 'xmin', 'ymin', 'xmax' and 'ymax' with the absolute image coordinates of the box. Optionally can also include the keys 'label' and 'color' describing the label and color of the box. Color must be a tuple of RGB values (e.g. `(255,255,255)`)."}, 'boxes_alpha': {'type': 'float | None', 'default': 'None', 'description': 'Opacity of the bounding boxes 0 and 1.'}, 'label_list': {'type': 'list[str] | None', 'default': 'None', 'description': 'List of valid labels.'}, 'label_colors': {'type': 'list[str] | None', 'default': 'None', 'description': 'Optional list of colors for each label when `label_list` is used. Colors must be a tuple of RGB values (e.g. `(255,255,255)`).'}, 'box_min_size': {'type': 'int | None', 'default': 'None', 'description': 'Minimum valid bounding box size.'}, 'handle_size': {'type': 'int | None', 'default': 'None', 'description': 'Size of the bounding box resize handles.'}, 'box_thickness': {'type': 'int | None', 'default': 'None', 'description': 'Thickness of the bounding box outline.'}, 'box_selected_thickness': {'type': 'int | None', 'default': 'None', 'description': 'Thickness of the bounding box outline when it is selected.'}, 'disable_edit_boxes': {'type': 'bool | None', 'default': 'None', 'description': 'Disables the ability to set and edit the label and color of the boxes.'}, 'single_box': {'type': 'bool', 'default': 'False', 'description': 'If True, at most one box can be drawn.'}, 'height': {'type': 'int | str | None', 'default': 'None', 'description': 'The height of the displayed image, specified in pixels if a number is passed, or in CSS units if a string is passed.'}, 'width': {'type': 'int | str | None', 'default': 'None', 'description': 'The width of the displayed image, specified in pixels if a number is passed, or in CSS units if a string is passed.'}, 'image_mode': {'type': '"1"\n    | "L"\n    | "P"\n    | "RGB"\n    | "RGBA"\n    | "CMYK"\n    | "YCbCr"\n    | "LAB"\n    | "HSV"\n    | "I"\n    | "F"', 'default': '"RGB"', 'description': '"RGB" if color, or "L" if black and white. See https://pillow.readthedocs.io/en/stable/handbook/concepts.html for other supported image modes and their meaning.'}, 'sources': {'type': 'list["upload" | "clipboard"] | None', 'default': '["upload", "clipboard"]', 'description': 'List of sources for the image. "upload" creates a box where user can drop an image file, "clipboard" allows users to paste an image from the clipboard. If None, defaults to ["upload", "clipboard"].'}, 'image_type': {'type': '"numpy" | "pil" | "filepath"', 'default': '"numpy"', 'description': 'The format the image is converted before being passed into the prediction function. "numpy" converts the image to a numpy array with shape (height, width, 3) and values from 0 to 255, "pil" converts the image to a PIL image object, "filepath" passes a str path to a temporary file containing the image. If the image is SVG, the `type` is ignored and the filepath of the SVG is returned.'}, 'label': {'type': 'str | None', 'default': 'None', 'description': 'The label for this component. Appears above the component 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 is assigned to.'}, 'container': {'type': 'bool', 'default': 'True', 'description': 'If True, will place the component in a container - providing some extra padding around the border.'}, 'scale': {'type': 'int | None', 'default': 'None', 'description': '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': {'type': 'int', 'default': '160', 'description': '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': {'type': 'bool | None', 'default': 'True', 'description': 'if True, will allow users to upload and annotate an image; if False, can only be used to display annotated images.'}, 'visible': {'type': 'bool', 'default': 'True', 'description': 'If False, component will be hidden.'}, 'elem_id': {'type': 'str | None', 'default': 'None', 'description': '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': {'type': 'list[str] | str | None', 'default': 'None', 'description': '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': {'type': 'bool', 'default': 'True', 'description': '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.'}, 'show_label': {'type': 'bool | None', 'default': 'None', 'description': 'if True, will display label.'}, 'show_download_button': {'type': 'bool', 'default': 'True', 'description': 'If True, will show a button to download the image.'}, 'show_share_button': {'type': 'bool | None', 'default': 'None', 'description': 'If True, will show a share icon in the corner of the component that allows user to share outputs to Hugging Face Spaces Discussions. If False, icon does not appear. If set to None (default behavior), then the icon appears if this Gradio app is launched on Spaces, but not otherwise.'}, 'show_clear_button': {'type': 'bool | None', 'default': 'True', 'description': 'If True, will show a button to clear the current image.'}, 'show_remove_button': {'type': 'bool | None', 'default': 'None', 'description': 'If True, will show a button to remove the selected bounding box.'}}, 'postprocess': {'value': {'type': 'dict | None', 'description': 'A dict with an image and an optional list of boxes or None.'}}, 'preprocess': {'return': {'type': 'dict | None', 'description': 'A dict with the image and boxes or None.'}, 'value': None}}, 'events': {'clear': {'type': None, 'default': None, 'description': 'This listener is triggered when the user clears the image_annotator using the X button for the component.'}, 'change': {'type': None, 'default': None, 'description': 'Triggered when the value of the image_annotator 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': {'type': None, 'default': None, 'description': 'This listener is triggered when the user uploads a file into the image_annotator.'}}}, '__meta__': {'additional_interfaces': {}, 'user_fn_refs': {'image_annotator': []}}}
 
 abs_path = os.path.join(os.path.dirname(__file__), "css.css")
 
@@ -108,7 +108,8 @@ with gr.Blocks() as demo:
             annotator_crop = image_annotator(
                 example_crop,
                 image_type="numpy",
-                disable_edit_boxes=True
+                disable_edit_boxes=True,
+                single_box=True,
             )
             image_crop = gr.Image()
         button_crop = gr.Button("Crop")

src/README.md

@@ -83,7 +83,8 @@ with gr.Blocks() as demo:
             annotator_crop = image_annotator(
                 example_crop,
                 image_type="numpy",
-                disable_edit_boxes=True
+                disable_edit_boxes=True,
+                single_box=True,
             )
             image_crop = gr.Image()
         button_crop = gr.Button("Crop")
@@ -226,6 +227,19 @@ bool | None
 <td align="left">Disables the ability to set and edit the label and color of the boxes.</td>
 </tr>
 
+<tr>
+<td align="left"><code>single_box</code></td>
+<td align="left" style="width: 25%;">
+
+```python
+bool
+```
+
+</td>
+<td align="left"><code>False</code></td>
+<td align="left">If True, at most one box can be drawn.</td>
+</tr>
+
 <tr>
 <td align="left"><code>height</code></td>
 <td align="left" style="width: 25%;">

src/backend/gradio_image_annotation/image_annotator.py

@@ -54,6 +54,7 @@ class image_annotator(Component):
         box_thickness: int | None = None,
         box_selected_thickness: int | None = None,
         disable_edit_boxes: bool | None = None,
+        single_box: bool = False,
         height: int | str | None = None,
         width: int | str | None = None,
         image_mode: Literal[
@@ -87,6 +88,7 @@ class image_annotator(Component):
             box_thickness: Thickness of the bounding box outline.
             box_selected_thickness: Thickness of the bounding box outline when it is selected.
             disable_edit_boxes: Disables the ability to set and edit the label and color of the boxes.
+            single_box: If True, at most one box can be drawn.
             height: The height of the displayed image, specified in pixels if a number is passed, or in CSS units if a string is passed.
             width: The width of the displayed image, specified in pixels if a number is passed, or in CSS units if a string is passed.
             image_mode: "RGB" if color, or "L" if black and white. See https://pillow.readthedocs.io/en/stable/handbook/concepts.html for other supported image modes and their meaning.
@@ -146,6 +148,7 @@ class image_annotator(Component):
         self.box_thickness = box_thickness
         self.box_selected_thickness = box_selected_thickness
         self.disable_edit_boxes = disable_edit_boxes
+        self.single_box = single_box
         if label_list:
             self.label_list = [(l, i) for i, l in enumerate(label_list)]
         else:

src/backend/gradio_image_annotation/templates/component/style.css

@@ -1 +1 @@
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src/backend/gradio_image_annotation/templates/example/style.css

@@ -1 +1 @@
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src/demo/app.py

@@ -68,7 +68,8 @@ with gr.Blocks() as demo:
             annotator_crop = image_annotator(
                 example_crop,
                 image_type="numpy",
-                disable_edit_boxes=True
+                disable_edit_boxes=True,
+                single_box=True,
             )
             image_crop = gr.Image()
         button_crop = gr.Button("Crop")

src/demo/space.py

@@ -3,7 +3,7 @@ import gradio as gr
 from app import demo as app
 import os
 
-_docs = {'image_annotator': {'description': 'Creates a component to annotate images with bounding boxes. The bounding boxes can be created and edited by the user or be passed by code.\nIt is also possible to predefine a set of valid classes and colors.', 'members': {'__init__': {'value': {'type': 'dict | None', 'default': 'None', 'description': "A dict or None. The dictionary must contain a key 'image' with either an URL to an image, a numpy image or a PIL image. Optionally it may contain a key 'boxes' with a list of boxes. Each box must be a dict wit the keys: 'xmin', 'ymin', 'xmax' and 'ymax' with the absolute image coordinates of the box. Optionally can also include the keys 'label' and 'color' describing the label and color of the box. Color must be a tuple of RGB values (e.g. `(255,255,255)`)."}, 'boxes_alpha': {'type': 'float | None', 'default': 'None', 'description': 'Opacity of the bounding boxes 0 and 1.'}, 'label_list': {'type': 'list[str] | None', 'default': 'None', 'description': 'List of valid labels.'}, 'label_colors': {'type': 'list[str] | None', 'default': 'None', 'description': 'Optional list of colors for each label when `label_list` is used. Colors must be a tuple of RGB values (e.g. `(255,255,255)`).'}, 'box_min_size': {'type': 'int | None', 'default': 'None', 'description': 'Minimum valid bounding box size.'}, 'handle_size': {'type': 'int | None', 'default': 'None', 'description': 'Size of the bounding box resize handles.'}, 'box_thickness': {'type': 'int | None', 'default': 'None', 'description': 'Thickness of the bounding box outline.'}, 'box_selected_thickness': {'type': 'int | None', 'default': 'None', 'description': 'Thickness of the bounding box outline when it is selected.'}, 'disable_edit_boxes': {'type': 'bool | None', 'default': 'None', 'description': 'Disables the ability to set and edit the label and color of the boxes.'}, 'height': {'type': 'int | str | None', 'default': 'None', 'description': 'The height of the displayed image, specified in pixels if a number is passed, or in CSS units if a string is passed.'}, 'width': {'type': 'int | str | None', 'default': 'None', 'description': 'The width of the displayed image, specified in pixels if a number is passed, or in CSS units if a string is passed.'}, 'image_mode': {'type': '"1"\n    | "L"\n    | "P"\n    | "RGB"\n    | "RGBA"\n    | "CMYK"\n    | "YCbCr"\n    | "LAB"\n    | "HSV"\n    | "I"\n    | "F"', 'default': '"RGB"', 'description': '"RGB" if color, or "L" if black and white. See https://pillow.readthedocs.io/en/stable/handbook/concepts.html for other supported image modes and their meaning.'}, 'sources': {'type': 'list["upload" | "clipboard"] | None', 'default': '["upload", "clipboard"]', 'description': 'List of sources for the image. "upload" creates a box where user can drop an image file, "clipboard" allows users to paste an image from the clipboard. If None, defaults to ["upload", "clipboard"].'}, 'image_type': {'type': '"numpy" | "pil" | "filepath"', 'default': '"numpy"', 'description': 'The format the image is converted before being passed into the prediction function. "numpy" converts the image to a numpy array with shape (height, width, 3) and values from 0 to 255, "pil" converts the image to a PIL image object, "filepath" passes a str path to a temporary file containing the image. If the image is SVG, the `type` is ignored and the filepath of the SVG is returned.'}, 'label': {'type': 'str | None', 'default': 'None', 'description': 'The label for this component. Appears above the component 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 is assigned to.'}, 'container': {'type': 'bool', 'default': 'True', 'description': 'If True, will place the component in a container - providing some extra padding around the border.'}, 'scale': {'type': 'int | None', 'default': 'None', 'description': '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': {'type': 'int', 'default': '160', 'description': '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': {'type': 'bool | None', 'default': 'True', 'description': 'if True, will allow users to upload and annotate an image; if False, can only be used to display annotated images.'}, 'visible': {'type': 'bool', 'default': 'True', 'description': 'If False, component will be hidden.'}, 'elem_id': {'type': 'str | None', 'default': 'None', 'description': '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': {'type': 'list[str] | str | None', 'default': 'None', 'description': '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': {'type': 'bool', 'default': 'True', 'description': '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.'}, 'show_label': {'type': 'bool | None', 'default': 'None', 'description': 'if True, will display label.'}, 'show_download_button': {'type': 'bool', 'default': 'True', 'description': 'If True, will show a button to download the image.'}, 'show_share_button': {'type': 'bool | None', 'default': 'None', 'description': 'If True, will show a share icon in the corner of the component that allows user to share outputs to Hugging Face Spaces Discussions. If False, icon does not appear. If set to None (default behavior), then the icon appears if this Gradio app is launched on Spaces, but not otherwise.'}, 'show_clear_button': {'type': 'bool | None', 'default': 'True', 'description': 'If True, will show a button to clear the current image.'}, 'show_remove_button': {'type': 'bool | None', 'default': 'None', 'description': 'If True, will show a button to remove the selected bounding box.'}}, 'postprocess': {'value': {'type': 'dict | None', 'description': 'A dict with an image and an optional list of boxes or None.'}}, 'preprocess': {'return': {'type': 'dict | None', 'description': 'A dict with the image and boxes or None.'}, 'value': None}}, 'events': {'clear': {'type': None, 'default': None, 'description': 'This listener is triggered when the user clears the image_annotator using the X button for the component.'}, 'change': {'type': None, 'default': None, 'description': 'Triggered when the value of the image_annotator 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': {'type': None, 'default': None, 'description': 'This listener is triggered when the user uploads a file into the image_annotator.'}}}, '__meta__': {'additional_interfaces': {}, 'user_fn_refs': {'image_annotator': []}}}
+_docs = {'image_annotator': {'description': 'Creates a component to annotate images with bounding boxes. The bounding boxes can be created and edited by the user or be passed by code.\nIt is also possible to predefine a set of valid classes and colors.', 'members': {'__init__': {'value': {'type': 'dict | None', 'default': 'None', 'description': "A dict or None. The dictionary must contain a key 'image' with either an URL to an image, a numpy image or a PIL image. Optionally it may contain a key 'boxes' with a list of boxes. Each box must be a dict wit the keys: 'xmin', 'ymin', 'xmax' and 'ymax' with the absolute image coordinates of the box. Optionally can also include the keys 'label' and 'color' describing the label and color of the box. Color must be a tuple of RGB values (e.g. `(255,255,255)`)."}, 'boxes_alpha': {'type': 'float | None', 'default': 'None', 'description': 'Opacity of the bounding boxes 0 and 1.'}, 'label_list': {'type': 'list[str] | None', 'default': 'None', 'description': 'List of valid labels.'}, 'label_colors': {'type': 'list[str] | None', 'default': 'None', 'description': 'Optional list of colors for each label when `label_list` is used. Colors must be a tuple of RGB values (e.g. `(255,255,255)`).'}, 'box_min_size': {'type': 'int | None', 'default': 'None', 'description': 'Minimum valid bounding box size.'}, 'handle_size': {'type': 'int | None', 'default': 'None', 'description': 'Size of the bounding box resize handles.'}, 'box_thickness': {'type': 'int | None', 'default': 'None', 'description': 'Thickness of the bounding box outline.'}, 'box_selected_thickness': {'type': 'int | None', 'default': 'None', 'description': 'Thickness of the bounding box outline when it is selected.'}, 'disable_edit_boxes': {'type': 'bool | None', 'default': 'None', 'description': 'Disables the ability to set and edit the label and color of the boxes.'}, 'single_box': {'type': 'bool', 'default': 'False', 'description': 'If True, at most one box can be drawn.'}, 'height': {'type': 'int | str | None', 'default': 'None', 'description': 'The height of the displayed image, specified in pixels if a number is passed, or in CSS units if a string is passed.'}, 'width': {'type': 'int | str | None', 'default': 'None', 'description': 'The width of the displayed image, specified in pixels if a number is passed, or in CSS units if a string is passed.'}, 'image_mode': {'type': '"1"\n    | "L"\n    | "P"\n    | "RGB"\n    | "RGBA"\n    | "CMYK"\n    | "YCbCr"\n    | "LAB"\n    | "HSV"\n    | "I"\n    | "F"', 'default': '"RGB"', 'description': '"RGB" if color, or "L" if black and white. See https://pillow.readthedocs.io/en/stable/handbook/concepts.html for other supported image modes and their meaning.'}, 'sources': {'type': 'list["upload" | "clipboard"] | None', 'default': '["upload", "clipboard"]', 'description': 'List of sources for the image. "upload" creates a box where user can drop an image file, "clipboard" allows users to paste an image from the clipboard. If None, defaults to ["upload", "clipboard"].'}, 'image_type': {'type': '"numpy" | "pil" | "filepath"', 'default': '"numpy"', 'description': 'The format the image is converted before being passed into the prediction function. "numpy" converts the image to a numpy array with shape (height, width, 3) and values from 0 to 255, "pil" converts the image to a PIL image object, "filepath" passes a str path to a temporary file containing the image. If the image is SVG, the `type` is ignored and the filepath of the SVG is returned.'}, 'label': {'type': 'str | None', 'default': 'None', 'description': 'The label for this component. Appears above the component 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 is assigned to.'}, 'container': {'type': 'bool', 'default': 'True', 'description': 'If True, will place the component in a container - providing some extra padding around the border.'}, 'scale': {'type': 'int | None', 'default': 'None', 'description': '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': {'type': 'int', 'default': '160', 'description': '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': {'type': 'bool | None', 'default': 'True', 'description': 'if True, will allow users to upload and annotate an image; if False, can only be used to display annotated images.'}, 'visible': {'type': 'bool', 'default': 'True', 'description': 'If False, component will be hidden.'}, 'elem_id': {'type': 'str | None', 'default': 'None', 'description': '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': {'type': 'list[str] | str | None', 'default': 'None', 'description': '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': {'type': 'bool', 'default': 'True', 'description': '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.'}, 'show_label': {'type': 'bool | None', 'default': 'None', 'description': 'if True, will display label.'}, 'show_download_button': {'type': 'bool', 'default': 'True', 'description': 'If True, will show a button to download the image.'}, 'show_share_button': {'type': 'bool | None', 'default': 'None', 'description': 'If True, will show a share icon in the corner of the component that allows user to share outputs to Hugging Face Spaces Discussions. If False, icon does not appear. If set to None (default behavior), then the icon appears if this Gradio app is launched on Spaces, but not otherwise.'}, 'show_clear_button': {'type': 'bool | None', 'default': 'True', 'description': 'If True, will show a button to clear the current image.'}, 'show_remove_button': {'type': 'bool | None', 'default': 'None', 'description': 'If True, will show a button to remove the selected bounding box.'}}, 'postprocess': {'value': {'type': 'dict | None', 'description': 'A dict with an image and an optional list of boxes or None.'}}, 'preprocess': {'return': {'type': 'dict | None', 'description': 'A dict with the image and boxes or None.'}, 'value': None}}, 'events': {'clear': {'type': None, 'default': None, 'description': 'This listener is triggered when the user clears the image_annotator using the X button for the component.'}, 'change': {'type': None, 'default': None, 'description': 'Triggered when the value of the image_annotator 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': {'type': None, 'default': None, 'description': 'This listener is triggered when the user uploads a file into the image_annotator.'}}}, '__meta__': {'additional_interfaces': {}, 'user_fn_refs': {'image_annotator': []}}}
 
 abs_path = os.path.join(os.path.dirname(__file__), "css.css")
 
@@ -108,7 +108,8 @@ with gr.Blocks() as demo:
             annotator_crop = image_annotator(
                 example_crop,
                 image_type="numpy",
-                disable_edit_boxes=True
+                disable_edit_boxes=True,
+                single_box=True,
             )
             image_crop = gr.Image()
         button_crop = gr.Button("Crop")

src/frontend/Index.svelte

@@ -42,6 +42,7 @@
 	export let box_thickness: number;
 	export let box_selected_thickness: number;
 	export let disable_edit_boxes: boolean;
+	export let single_box: boolean;
 	export let show_remove_button: boolean;
 
 	export let gradio: Gradio<{
@@ -117,6 +118,7 @@
 		boxThickness={box_thickness}
 		boxSelectedThickness={box_selected_thickness}
 		disableEditBoxes={disable_edit_boxes}
+		singleBox={single_box}
 		showRemoveButton={show_remove_button}
 	>
 		{#if active_source === "upload"}

src/frontend/shared/Box.ts

@@ -270,14 +270,14 @@ export default class Box {
         this.isDragging = true;
         this.offsetMouseX = event.clientX - this.xmin;
         this.offsetMouseY = event.clientY - this.ymin;
-        document.addEventListener("mousemove", this.handleDrag);
-        document.addEventListener("mouseup", this.stopDrag);
+        document.addEventListener("pointermove", this.handleDrag);
+        document.addEventListener("pointerup", this.stopDrag);
     }
 
     stopDrag = (): void => {
         this.isDragging = false;
-        document.removeEventListener("mousemove", this.handleDrag);
-        document.removeEventListener("mouseup", this.stopDrag);
+        document.removeEventListener("pointermove", this.handleDrag);
+        document.removeEventListener("pointerup", this.stopDrag);
     };
 
     handleDrag = (event: MouseEvent): void => {
@@ -328,8 +328,8 @@ export default class Box {
         this.isCreating = true;
         this.offsetMouseX = canvasX;
         this.offsetMouseY = canvasY;
-        document.addEventListener("mousemove", this.handleCreating);
-        document.addEventListener("mouseup", this.stopCreating);
+        document.addEventListener("pointermove", this.handleCreating);
+        document.addEventListener("pointerup", this.stopCreating);
     }
 
     handleCreating = (event: MouseEvent): void => {
@@ -381,8 +381,8 @@ export default class Box {
     
     stopCreating = (event: MouseEvent): void => {
         this.isCreating = false;
-        document.removeEventListener("mousemove", this.handleCreating);
-        document.removeEventListener("mouseup", this.stopCreating);
+        document.removeEventListener("pointermove", this.handleCreating);
+        document.removeEventListener("pointerup", this.stopCreating);
 
         if (this.getArea() > 0) {
             const canvasW = this.canvasXmax - this.canvasXmin;
@@ -433,8 +433,8 @@ export default class Box {
         this.isResizing = true;
         this.offsetMouseX = event.clientX - this.resizeHandles[handleIndex].xmin;
         this.offsetMouseY = event.clientY - this.resizeHandles[handleIndex].ymin;
-        document.addEventListener("mousemove", this.handleResize);
-        document.addEventListener("mouseup", this.stopResize);
+        document.addEventListener("pointermove", this.handleResize);
+        document.addEventListener("pointerup", this.stopResize);
     }
 
     handleResize = (event: MouseEvent): void => {
@@ -495,7 +495,7 @@ export default class Box {
 
     stopResize = (): void => {
         this.isResizing = false;
-        document.removeEventListener("mousemove", this.handleResize);
-        document.removeEventListener("mouseup", this.stopResize);
+        document.removeEventListener("pointermove", this.handleResize);
+        document.removeEventListener("pointerup", this.stopResize);
     };
 }

src/frontend/shared/Canvas.svelte

@@ -19,6 +19,7 @@
 	export let choices = [];
     export let choicesColors = [];
 	export let disableEditBoxes: boolean = false;
+	export let singleBox: boolean = false;
 	export let showRemoveButton: boolean = null;
 
 	if (showRemoveButton === null) {
@@ -88,19 +89,26 @@
 		draw();
 	}
 
-    function handleMouseDown(event: MouseEvent) {
+	function handlePointerDown(event: PointerEvent) {
 		if (!interactive) {
 			return;
 		}
-		
-		if (mode === Mode.creation){
+
+		if (
+			event.target instanceof Element &&
+			event.target.hasPointerCapture(event.pointerId)
+		) {
+			event.target.releasePointerCapture(event.pointerId);
+		}
+
+		if (mode === Mode.creation) {
 			createBox(event);
 		} else if (mode === Mode.drag) {
 			clickBox(event);
 		}
 	}
 
-	function clickBox(event: MouseEvent) {
+	function clickBox(event: PointerEvent) {
 		const rect = canvas.getBoundingClientRect();
 		const mouseX = event.clientX - rect.left;
 		const mouseY = event.clientY - rect.top;
@@ -126,7 +134,7 @@
 		selectBox(-1);
 	}
 
-    function handleMouseUp(event: MouseEvent) {
+	function handlePointerUp(event: PointerEvent) {
 		dispatch("change");
 	}
 
@@ -142,13 +150,19 @@
 		}
 	}
 
-	function createBox(event: MouseEvent) {
+	function createBox(event: PointerEvent) {
 		const rect = canvas.getBoundingClientRect();
 		const x = (event.clientX - rect.left - canvasXmin) / scaleFactor;
 		const y = (event.clientY - rect.top - canvasYmin) / scaleFactor;
 		let color;
 		if (choicesColors.length > 0) {
 			color = colorHexToRGB(choicesColors[0]);
+		} else if (singleBox) {
+			if (value.boxes.length > 0) {
+				color = value.boxes[0].color;
+			} else {
+				color = Colors[0];
+			}
 		} else {
 			color = Colors[value.boxes.length % Colors.length];
 		}
@@ -173,7 +187,11 @@
 			boxSelectedThickness
 		);
 		box.startCreating(event, rect.left, rect.top);
-		value.boxes = [box, ...value.boxes];
+		if (singleBox) {
+			value.boxes = [box];
+		} else {
+			value.boxes = [box, ...value.boxes];
+		}
 		selectBox(0);
 		draw();
 		dispatch("change");
@@ -407,8 +425,8 @@
 >
 	<canvas
 		bind:this={canvas}
-		on:mousedown={handleMouseDown}
-		on:mouseup={handleMouseUp}
+		on:pointerdown={handlePointerDown}
+		on:pointerup={handlePointerUp}
 		on:dblclick={handleDoubleClick}
 		class="canvas-annotator"
 	></canvas>
@@ -462,12 +480,13 @@
 {/if}
 
 <style>
-    .canvas-annotator {
-        border-color: var(--block-border-color);
+	.canvas-annotator {
+		border-color: var(--block-border-color);
 		width: 100%;
-  		height: 100%;
-  		display: block;
-    }
+		height: 100%;
+		display: block;
+		touch-action: none;
+	}
 
 	.canvas-control {
 		display: flex;

src/frontend/shared/ImageAnnotator.svelte

@@ -31,6 +31,7 @@
 	export let handleSize: number;
 	export let boxThickness: number;
 	export let disableEditBoxes: boolean;
+	export let singleBox: boolean;
 	export let showRemoveButton: boolean;
 	export let boxSelectedThickness: number;
 	export let max_file_size: number | null = null;
@@ -152,6 +153,7 @@
 					{interactive}
 					{handleSize}
 					{boxThickness}
+					{singleBox}
 					{disableEditBoxes}
 					{showRemoveButton}
 					boxSelectedThickness={boxSelectedThickness}

src/frontend/shared/ImageCanvas.svelte

@@ -20,6 +20,7 @@
 	export let boxSelectedThickness: number;
 	export let value: null | AnnotatedImageData;
 	export let disableEditBoxes: boolean;
+	export let singleBox: boolean;
 	export let showRemoveButton: boolean;
 
 	let resolved_src: typeof src;
@@ -63,6 +64,7 @@
 	{boxThickness}
 	{boxSelectedThickness}
 	{disableEditBoxes}
+	{singleBox}
 	{showRemoveButton}
 	imageUrl={resolved_src}
 />

src/pyproject.toml

@@ -8,7 +8,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "gradio_image_annotation"
-version = "0.2.1"
+version = "0.2.2"
 description = "A Gradio component that can be used to annotate images with bounding boxes."
 readme = "README.md"
 license = "MIT"