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4d26a0d
1
Parent(s):
641a29d
Update app.py
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app.py
CHANGED
@@ -2,6 +2,7 @@ import supervision as sv
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import gradio as gr
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from ultralytics import YOLO
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import sahi
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@@ -20,6 +21,8 @@ sahi.utils.file.download_from_url(
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)
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annotatorbbox = sv.BoxAnnotator()
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annotatormask=sv.MaskAnnotator()
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@@ -33,13 +36,14 @@ def yolov8_inference(
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):
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-
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results = model(image,conf=conf_threshold,iou=iou_threshold ,imgsz=360)[0]
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detections = sv.Detections.from_yolov8(results)
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annotated_image = annotatorbbox.annotate(scene=image, detections=detections)
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annotated_image = annotatormask.annotate(scene=annotated_image, detections=detections)
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@@ -71,4 +75,4 @@ demo_app = gr.Interface(examples=examples,
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cache_examples=True,
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theme="default",
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)
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demo_app.launch(debug=
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import gradio as gr
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from ultralytics import YOLO
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import sahi
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import numpy as np
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)
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annotatorbbox = sv.BoxAnnotator()
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annotatormask=sv.MaskAnnotator()
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):
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image=image[:, :, ::-1].astype(np.uint8)
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model = YOLO("/content/segment/train/weights/best.pt")
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results = model(image,conf=conf_threshold,iou=iou_threshold ,imgsz=360)[0]
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image=image[:, :, ::-1].astype(np.uint8)
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detections = sv.Detections.from_yolov8(results)
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annotated_image = annotatorbbox.annotate(scene=image, detections=detections)
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cache_examples=True,
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theme="default",
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)
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demo_app.launch(debug=False, enable_queue=True)
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