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Runtime error
Runtime error
feat: π model dropdown menu and dot color select fixed
Browse filesSigned-off-by: Onuralp SEZER <[email protected]>
- .gitignore +4 -0
- app.py +28 -15
.gitignore
CHANGED
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@@ -165,5 +165,9 @@ cython_debug/
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.LSOverride
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# YoloV8 files
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yolov8s-seg.pt
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yolov8s.pt
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.LSOverride
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# YoloV8 files
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yolov8n-seg.pt
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yolov8s-seg.pt
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yolov8m-seg.pt
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yolov8l-seg.pt
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yolov8x-seg.pt
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yolov8s.pt
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app.py
CHANGED
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@@ -1,4 +1,5 @@
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import os # added for cache_examples
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import gradio as gr
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import numpy as np
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@@ -43,9 +44,9 @@ DESC = """
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""" # noqa: E501 title/docs
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def load_model(img):
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# Load model, get results and return detections/labels
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model = YOLO(
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result = model(img, verbose=False, imgsz=1280)[0]
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detections = sv.Detections.from_ultralytics(result)
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labels = [
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@@ -71,6 +72,7 @@ def calculate_crop_dim(a, b):
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def annotator(
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img,
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annotators,
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colorbb,
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colormask,
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@@ -80,6 +82,7 @@ def annotator(
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colorlabel,
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colorhalo,
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colortri,
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):
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"""
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Function that changes the color of annotators
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@@ -93,7 +96,7 @@ def annotator(
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img = img[..., ::-1].copy() # BGR to RGB using numpy
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detections, labels = load_model(img)
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if "Blur" in annotators:
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# Apply Blur
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@@ -101,7 +104,7 @@ def annotator(
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img = blur_annotator.annotate(img, detections=detections)
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if "BoundingBox" in annotators:
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# Draw
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box_annotator = sv.BoundingBoxAnnotator(sv.Color.from_hex(str(colorbb)))
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img = box_annotator.annotate(img, detections=detections)
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@@ -111,7 +114,7 @@ def annotator(
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img = mask_annotator.annotate(img, detections=detections)
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if "Ellipse" in annotators:
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# Draw
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ellipse_annotator = sv.EllipseAnnotator(sv.Color.from_hex(str(colorellipse)))
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img = ellipse_annotator.annotate(img, detections=detections)
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@@ -121,7 +124,7 @@ def annotator(
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img = corner_annotator.annotate(img, detections=detections)
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if "Circle" in annotators:
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# Draw
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circle_annotator = sv.CircleAnnotator(sv.Color.from_hex(str(colorcir)))
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img = circle_annotator.annotate(img, detections=detections)
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@@ -132,7 +135,7 @@ def annotator(
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img = label_annotator.annotate(img, detections=detections, labels=labels)
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if "Pixelate" in annotators:
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#
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pixelate_annotator = sv.PixelateAnnotator()
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img = pixelate_annotator.annotate(img, detections=detections)
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@@ -147,8 +150,8 @@ def annotator(
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img = heatmap_annotator.annotate(img, detections=detections)
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if "Dot" in annotators:
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#
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dot_annotator = sv.DotAnnotator()
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img = dot_annotator.annotate(img, detections=detections)
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if "Triangle" in annotators:
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@@ -186,6 +189,20 @@ with gr.Blocks(theme=purple_theme) as app:
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gr.HTML(SUBTITLE)
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gr.HTML(BANNER)
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gr.HTML(DESC)
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annotators = gr.CheckboxGroup(
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choices=[
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"BoundingBox",
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@@ -209,21 +226,15 @@ with gr.Blocks(theme=purple_theme) as app:
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with gr.Row(variant="compact"):
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with gr.Column():
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colorbb = gr.ColorPicker(value="#A351FB", label="BoundingBox")
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with gr.Column():
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colormask = gr.ColorPicker(value="#A351FB", label="Mask")
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with gr.Column():
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colorellipse = gr.ColorPicker(value="#A351FB", label="Ellipse")
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with gr.Column():
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colorbc = gr.ColorPicker(value="#A351FB", label="BoxCorner")
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with gr.Column():
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colorcir = gr.ColorPicker(value="#A351FB", label="Circle")
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with gr.Column():
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colorlabel = gr.ColorPicker(value="#A351FB", label="Label")
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with gr.Column():
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colorhalo = gr.ColorPicker(value="#A351FB", label="Halo")
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with gr.Column():
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colordot = gr.ColorPicker(value="#A351FB", label="Dot")
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with gr.Column():
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colortri = gr.ColorPicker(value="#A351FB", label="Triangle")
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with gr.Row():
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@@ -239,6 +250,7 @@ with gr.Blocks(theme=purple_theme) as app:
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annotator,
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inputs=[
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image_input,
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annotators,
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colorbb,
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colormask,
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@@ -248,6 +260,7 @@ with gr.Blocks(theme=purple_theme) as app:
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colorlabel,
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colorhalo,
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colortri,
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],
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outputs=image_output,
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)
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import os # added for cache_examples
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from pathlib import Path
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import gradio as gr
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import numpy as np
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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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model = YOLO(model=model)
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result = model(img, verbose=False, imgsz=1280)[0]
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detections = sv.Detections.from_ultralytics(result)
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labels = [
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def annotator(
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img,
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model,
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annotators,
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colorbb,
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colormask,
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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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Function that changes the color of annotators
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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 annotators:
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# Apply Blur
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img = blur_annotator.annotate(img, detections=detections)
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if "BoundingBox" in annotators:
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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=detections)
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img = mask_annotator.annotate(img, detections=detections)
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if "Ellipse" in annotators:
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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=detections)
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img = corner_annotator.annotate(img, detections=detections)
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if "Circle" in annotators:
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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=detections)
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img = label_annotator.annotate(img, detections=detections, labels=labels)
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if "Pixelate" in annotators:
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# Apply PixelateAnnotator
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pixelate_annotator = sv.PixelateAnnotator()
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img = pixelate_annotator.annotate(img, detections=detections)
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img = heatmap_annotator.annotate(img, detections=detections)
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if "Dot" in annotators:
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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=detections)
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if "Triangle" in annotators:
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gr.HTML(SUBTITLE)
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gr.HTML(BANNER)
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gr.HTML(DESC)
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models = gr.Dropdown(
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[
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"yolov8n-seg.pt",
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"yolov8s-seg.pt",
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"yolov8m-seg.pt",
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"yolov8l-seg.pt",
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"yolov8x-seg.pt",
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],
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type="value",
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value="yolov8s-seg.pt",
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label="Select Model:",
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)
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annotators = gr.CheckboxGroup(
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choices=[
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"BoundingBox",
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with gr.Row(variant="compact"):
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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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colorellipse = gr.ColorPicker(value="#A351FB", label="Ellipse")
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with gr.Column():
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colorbc = gr.ColorPicker(value="#A351FB", label="BoxCorner")
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colorcir = gr.ColorPicker(value="#A351FB", label="Circle")
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colorlabel = gr.ColorPicker(value="#A351FB", label="Label")
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with gr.Column():
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colorhalo = gr.ColorPicker(value="#A351FB", label="Halo")
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colordot = gr.ColorPicker(value="#A351FB", label="Dot")
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colortri = gr.ColorPicker(value="#A351FB", label="Triangle")
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with gr.Row():
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annotator,
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inputs=[
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image_input,
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models,
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annotators,
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colorbb,
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colormask,
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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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