I have created a model on my computer, export it to onnx model and run it on the jetson inference docker, it then successfully output the image classification label to me, but I am confused on how to result the classified label to an output as I need send the output label to my arduino board.
Hi,
You can find the output in the returned predictions variables.
while True:
# capture the next image
img = input.Capture()
if img is None: # timeout
continue
# classify the image and get the topK predictions
# if you only want the top class, you can simply run:
# class_id, confidence = net.Classify(img)
predictions = net.Classify(img, topK=args.topK)
# draw predicted class labels
for n, (classID, confidence) in enumerate(predictions):
classLabel = net.GetClassLabel(classID)
confidence *= 100.0
print(f"imagenet: {confidence:05.2f}% class #{classID} ({classLabel})")
font.OverlayText(img, text=f"{confidence:05.2f}% {classLabel}",
x=5, y=5 + n * (font.GetSize() + 5),
Thanks.
system
January 29, 2025, 5:10am
5
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