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Update app.py
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app.py
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@@ -5,42 +5,33 @@ from PIL import ImageDraw
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object_detector = pipeline("object-detection", model="facebook/detr-resnet-50")
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# model_path = "C:\\Users\\abdul\\Documents\\genaiproj\\genai\\Models\\models--facebook--detr-resnet-50\\snapshots\\1d5f47bd3bdd2c4bbfa585418ffe6da5028b4c0b"
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# object_detector = pipeline("object-detection", model=model_path) pc kk
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def draw_bounding_boxes(image, detections):
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draw = ImageDraw.Draw(image)
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for detection in detections:
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# Extract bounding box coordinates and label
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box = detection['box']
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label = detection['label']
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xmin, ymin, xmax, ymax = box['xmin'], box['ymin'], box['xmax'], box['ymax']
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# Draw rectangle and label
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draw.rectangle([xmin, ymin, xmax, ymax], outline="red", width=3)
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draw.text((xmin, ymin - 10), label, fill="red")
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return image
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def detect_object(image):
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output = object_detector(raw_image
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processed_image = draw_bounding_boxes(
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return processed_image
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# print(output)
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gr.close_all()
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# demo = gr.Interface(fn=summary, inputs="text", outputs="text")
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demo = gr.Interface(
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fn=detect_object,
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inputs=[gr.Image(label="Select Image", type="pil")],
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outputs=[gr.Image(label="Image with Bounding Box", type="pil")],
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title="Object Detector",
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theme="soft",
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description="This is an object detection model that detects objects in an image and draws bounding boxes around them."
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object_detector = pipeline("object-detection", model="facebook/detr-resnet-50")
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def draw_bounding_boxes(image, detections):
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draw = ImageDraw.Draw(image)
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for detection in detections:
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box = detection['box']
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label = detection['label']
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xmin, ymin, xmax, ymax = box['xmin'], box['ymin'], box['xmax'], box['ymax']
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draw.rectangle([xmin, ymin, xmax, ymax], outline="red", width=3)
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draw.text((xmin, ymin - 10), label, fill="red")
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return image
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def detect_object(image):
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output = object_detector(image) # Use 'image' instead of 'raw_image'
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processed_image = draw_bounding_boxes(image.copy(), output) # Make a copy to avoid modifying the original
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return processed_image
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gr.close_all()
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demo = gr.Interface(
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fn=detect_object,
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inputs=[gr.Image(label="Select Image", type="pil")],
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outputs=[gr.Image(label="Image with Bounding Box", type="pil")],
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title="Object Detector",
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theme="soft",
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description="This is an object detection model that detects objects in an image and draws bounding boxes around them."
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)
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demo.launch(share=True)
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