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Update ObjectDetection_for_images.ipynb #967

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Update ObjectDetection_for_images.ipynb #967

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21 changes: 18 additions & 3 deletions Artificial Intelligence/Basic/Object_Detection/ObjectDetection_for_images.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -231,10 +231,25 @@
}
],
"source": [
"font_scale = 3\n",
"# Initialize font scale and font",
"font_scale = 1\n",
"font = cv2.FONT_HERSHEY_PLAIN\n",
"for ClassInd,conf,boxes in zip(ClassIndex.flatten(),confidence.flatten(),bbox):\n",
" cv2.rectangle(img,boxes,(255,0,0),2)\n",
"# Loop over detections and draw bounding boxes\n"
"for ClassInd, conf, boxes in zip(ClassIndex.flatten(), confidence.flatten(), bbox):\n",
" # Get class label and confidence score ",
"class_label = classLabels[ClassInd - 1]",
"confidence_score = conf * 100",
" # Draw bounding box",
" color = (0, 255, 0) # Green color for all boxes",
" cv2.rectangle(img, boxes, color, 2)",
" # Draw class label and confidence score",
" cv2.putText(img, f'{class_label}: {confidence_score:.2f}%', (boxes[0] + 10, boxes[1] + 20)",
font, fontScale=font_scale, color=(0, 255, 0), thickness=2)

# Display the final image with detections
plt.imshow(cv2.cvtColor(img, cv2.COLOR_BGR2RGB))
plt.axis('off') # Turn off axis
plt.show()\n",
" cv2.putText(img,classLabels[ClassInd - 1],(boxes[0] + 10,boxes[1] + 40),font,fontScale = font_scale,color = (0,255,0),thickness = 3)\n",
" print(classLabels[ClassInd - 1] + \" : \" + str(conf * 100) + \"%\")"
]
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