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Runtime error
Runtime error
feat: ✨ color and checkbox events change annotator results dynamically feature added
Browse files
app.py
CHANGED
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@@ -4,6 +4,7 @@ from pathlib import Path
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import gradio as gr
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import numpy as np
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import supervision as sv
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from PIL import Image
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from torch import cuda, device
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from ultralytics import YOLO
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@@ -43,6 +44,9 @@ DESC = """
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</div>
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""" # noqa: E501 title/docs
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def load_model(img, model: str | Path = "yolov8s-seg.pt"):
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# Load model, get results and return detections/labels
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@@ -54,7 +58,6 @@ def load_model(img, model: str | Path = "yolov8s-seg.pt"):
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for class_id, confidence in zip(detections.class_id, detections.confidence)
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]
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print(labels)
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return detections, labels
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return width, height
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def
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img,
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colorbb,
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colormask,
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colorellipse,
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colorhalo,
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colortri,
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colordot,
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):
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Args:
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annotators: Icon whose color needs to be changed.
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color: Chosen color with which to edit the input icon in Hex.
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img: Input image is numpy matrix in BGR.
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Returns:
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annotators: annotated image
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"""
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img = img[..., ::-1].copy() # BGR to RGB using numpy
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detections, labels = load_model(img, model)
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if "Blur" in
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# Apply Blur
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blur_annotator = sv.BlurAnnotator()
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img = blur_annotator.annotate(img, detections=
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if "BoundingBox" in
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# Draw Boundingbox
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box_annotator = sv.BoundingBoxAnnotator(sv.Color.from_hex(str(colorbb)))
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img = box_annotator.annotate(img, detections=
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if "Mask" in
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# Draw Mask
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mask_annotator = sv.MaskAnnotator(sv.Color.from_hex(str(colormask)))
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img = mask_annotator.annotate(img, detections=
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if "Ellipse" in
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# Draw Ellipse
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ellipse_annotator = sv.EllipseAnnotator(sv.Color.from_hex(str(colorellipse)))
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img = ellipse_annotator.annotate(img, detections=
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if "BoxCorner" in
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# Draw Box corner
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corner_annotator = sv.BoxCornerAnnotator(sv.Color.from_hex(str(colorbc)))
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img = corner_annotator.annotate(img, detections=
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if "Circle" in
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# Draw Circle
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circle_annotator = sv.CircleAnnotator(sv.Color.from_hex(str(colorcir)))
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img = circle_annotator.annotate(img, detections=
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if "Label" in
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# Draw Label
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label_annotator = sv.LabelAnnotator(text_position=sv.Position.CENTER)
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label_annotator = sv.LabelAnnotator(sv.Color.from_hex(str(colorlabel)))
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img = label_annotator.annotate(
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if "Pixelate" in
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# Apply PixelateAnnotator
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pixelate_annotator = sv.PixelateAnnotator()
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img = pixelate_annotator.annotate(img, detections=
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if "Halo" in
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# Draw HaloAnnotator
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halo_annotator = sv.HaloAnnotator(sv.Color.from_hex(str(colorhalo)))
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img = halo_annotator.annotate(img, detections=
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if "HeatMap" in
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# Draw HeatMapAnnotator
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heatmap_annotator = sv.HeatMapAnnotator()
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img = heatmap_annotator.annotate(img, detections=
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if "Dot" in
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# Dot DotAnnotator
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dot_annotator = sv.DotAnnotator(sv.Color.from_hex(str(colordot)))
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img = dot_annotator.annotate(img, detections=
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if "Triangle" in
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# Draw TriangleAnnotator
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tri_annotator = sv.TriangleAnnotator(sv.Color.from_hex(str(colortri)))
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img = tri_annotator.annotate(img, detections=
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# crop image for the largest possible square
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res_img = Image.fromarray(img)
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@@ -178,6 +173,54 @@ def annotator(
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return crop_img[..., ::-1].copy() # BGR to RGB using numpy
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purple_theme = theme = gr.themes.Soft(primary_hue=gr.themes.colors.purple).set(
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button_primary_background_fill="*primary_600",
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button_primary_background_fill_hover="*primary_700",
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@@ -204,7 +247,7 @@ with gr.Blocks(theme=purple_theme) as app:
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label="Select Model:",
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)
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-
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choices=[
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"BoundingBox",
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"Mask",
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@@ -224,7 +267,7 @@ with gr.Blocks(theme=purple_theme) as app:
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)
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gr.Markdown("## Color Picker 🎨")
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with gr.Row(variant="
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with gr.Column():
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colorbb = gr.ColorPicker(value="#A351FB", label="BoundingBox")
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colormask = gr.ColorPicker(value="#A351FB", label="Mask")
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@@ -252,7 +295,7 @@ with gr.Blocks(theme=purple_theme) as app:
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inputs=[
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image_input,
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models,
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-
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colorbb,
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colormask,
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colorellipse,
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@@ -281,8 +324,63 @@ with gr.Blocks(theme=purple_theme) as app:
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cache_examples=False,
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)
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if __name__ == "__main__":
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print("Starting app...")
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print("Dark theme is available at: http://localhost:7860/?__theme=dark")
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app.launch(debug=False)
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import gradio as gr
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import numpy as np
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import supervision as sv
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from gradio import ColorPicker
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from PIL import Image
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from torch import cuda, device
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from ultralytics import YOLO
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</div>
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""" # noqa: E501 title/docs
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last_detections = sv.Detections.empty()
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last_labels: list[str] = []
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+
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def load_model(img, model: str | Path = "yolov8s-seg.pt"):
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# Load model, get results and return detections/labels
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for class_id, confidence in zip(detections.class_id, detections.confidence)
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]
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return detections, labels
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return width, height
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def annotators(
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img,
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last_detections,
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annotators_list,
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last_labels,
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colorbb,
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colormask,
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colorellipse,
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colorhalo,
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colortri,
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colordot,
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) -> np.ndarray:
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if last_detections == sv.Detections.empty():
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gr.Warning("Detection is empty please add image and annotate first")
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return np.zeros()
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if "Blur" in annotators_list:
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# Apply Blur
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blur_annotator = sv.BlurAnnotator()
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img = blur_annotator.annotate(img, detections=last_detections)
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if "BoundingBox" in annotators_list:
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# Draw Boundingbox
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box_annotator = sv.BoundingBoxAnnotator(sv.Color.from_hex(str(colorbb)))
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img = box_annotator.annotate(img, detections=last_detections)
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if "Mask" in annotators_list:
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# Draw Mask
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mask_annotator = sv.MaskAnnotator(sv.Color.from_hex(str(colormask)))
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img = mask_annotator.annotate(img, detections=last_detections)
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if "Ellipse" in annotators_list:
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# Draw Ellipse
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ellipse_annotator = sv.EllipseAnnotator(sv.Color.from_hex(str(colorellipse)))
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img = ellipse_annotator.annotate(img, detections=last_detections)
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if "BoxCorner" in annotators_list:
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# Draw Box corner
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corner_annotator = sv.BoxCornerAnnotator(sv.Color.from_hex(str(colorbc)))
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img = corner_annotator.annotate(img, detections=last_detections)
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if "Circle" in annotators_list:
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# Draw Circle
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circle_annotator = sv.CircleAnnotator(sv.Color.from_hex(str(colorcir)))
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img = circle_annotator.annotate(img, detections=last_detections)
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if "Label" in annotators_list:
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# Draw Label
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label_annotator = sv.LabelAnnotator(text_position=sv.Position.CENTER)
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label_annotator = sv.LabelAnnotator(sv.Color.from_hex(str(colorlabel)))
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img = label_annotator.annotate(
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img, detections=last_detections, labels=last_labels
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)
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if "Pixelate" in annotators_list:
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# Apply PixelateAnnotator
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pixelate_annotator = sv.PixelateAnnotator()
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img = pixelate_annotator.annotate(img, detections=last_detections)
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if "Halo" in annotators_list:
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# Draw HaloAnnotator
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halo_annotator = sv.HaloAnnotator(sv.Color.from_hex(str(colorhalo)))
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img = halo_annotator.annotate(img, detections=last_detections)
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if "HeatMap" in annotators_list:
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# Draw HeatMapAnnotator
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heatmap_annotator = sv.HeatMapAnnotator()
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img = heatmap_annotator.annotate(img, detections=last_detections)
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if "Dot" in annotators_list:
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# Dot DotAnnotator
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dot_annotator = sv.DotAnnotator(sv.Color.from_hex(str(colordot)))
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img = dot_annotator.annotate(img, detections=last_detections)
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if "Triangle" in annotators_list:
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# Draw TriangleAnnotator
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tri_annotator = sv.TriangleAnnotator(sv.Color.from_hex(str(colortri)))
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img = tri_annotator.annotate(img, detections=last_detections)
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# crop image for the largest possible square
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res_img = Image.fromarray(img)
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return crop_img[..., ::-1].copy() # BGR to RGB using numpy
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def annotator(
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img,
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model,
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annotators_list,
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colorbb,
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+
colormask,
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+
colorellipse,
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+
colorbc,
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colorcir,
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+
colorlabel,
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colorhalo,
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colortri,
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colordot,
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progress=gr.Progress(track_tqdm=True),
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) -> np.ndarray:
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"""
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Function that changes the color of annotators
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Args:
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annotators: Icon whose color needs to be changed.
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+
color: Chosen color with which to edit the input icon in Hex.
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+
img: Input image is numpy matrix in BGR.
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+
Returns:
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+
annotators: annotated image
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+
"""
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+
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img = img[..., ::-1].copy() # BGR to RGB using numpy
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+
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detections, labels = load_model(img, model)
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last_detections = detections
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last_labels = labels
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return annotators(
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img,
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last_detections,
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annotators_list,
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last_labels,
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colorbb,
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colormask,
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colorellipse,
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+
colorbc,
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+
colorcir,
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colorlabel,
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colorhalo,
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+
colortri,
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colordot,
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)
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+
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+
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purple_theme = theme = gr.themes.Soft(primary_hue=gr.themes.colors.purple).set(
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button_primary_background_fill="*primary_600",
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button_primary_background_fill_hover="*primary_700",
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label="Select Model:",
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)
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+
annotators_list = gr.CheckboxGroup(
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choices=[
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"BoundingBox",
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"Mask",
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)
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gr.Markdown("## Color Picker 🎨")
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with gr.Row(variant="panel"):
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with gr.Column():
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colorbb = gr.ColorPicker(value="#A351FB", label="BoundingBox")
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colormask = gr.ColorPicker(value="#A351FB", label="Mask")
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inputs=[
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image_input,
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models,
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annotators_list,
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colorbb,
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colormask,
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colorellipse,
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cache_examples=False,
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)
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annotators_list.change(
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fn=annotator,
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inputs=[
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image_input,
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models,
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annotators_list,
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colorbb,
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colormask,
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colorellipse,
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colorbc,
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colorcir,
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colorlabel,
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colorhalo,
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colortri,
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colordot,
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],
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outputs=image_output,
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)
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def change_color(color: ColorPicker):
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color.change(
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fn=annotator,
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inputs=[
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image_input,
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models,
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annotators_list,
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colorbb,
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colormask,
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colorellipse,
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colorbc,
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colorcir,
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colorlabel,
|
| 359 |
+
colorhalo,
|
| 360 |
+
colortri,
|
| 361 |
+
colordot,
|
| 362 |
+
],
|
| 363 |
+
outputs=image_output,
|
| 364 |
+
)
|
| 365 |
+
|
| 366 |
+
colors = [
|
| 367 |
+
colorbb,
|
| 368 |
+
colormask,
|
| 369 |
+
colorellipse,
|
| 370 |
+
colorbc,
|
| 371 |
+
colorcir,
|
| 372 |
+
colorlabel,
|
| 373 |
+
colorhalo,
|
| 374 |
+
colortri,
|
| 375 |
+
colordot,
|
| 376 |
+
]
|
| 377 |
+
|
| 378 |
+
for color in colors:
|
| 379 |
+
change_color(color)
|
| 380 |
+
|
| 381 |
|
| 382 |
if __name__ == "__main__":
|
| 383 |
print("Starting app...")
|
| 384 |
print("Dark theme is available at: http://localhost:7860/?__theme=dark")
|
| 385 |
+
# app.launch(debug=False, server_name="0.0.0.0") # for local network
|
| 386 |
app.launch(debug=False)
|