Hello! How can I modify detectnet.py to save the detected image to my local drive?
Hi,
detectnet.py by default supports using images as input.
For example:https://github.com/dusty-nv/jetson-inference/blob/master/docs/detectnet-console-2.md#detecting-objects-from-images
$ ./detectnet.py --network=ssd-mobilenet-v2 images/peds_0.jpg images/test/output.jpg
You can change the images/peds_0.jpg to the path of your images on the local drive.
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Hi AastaLL,
Thank you for the response. But what I mean is that I am running my model on a live camera stream, and I want to save an image every time something is detected and save it to my local drive.
I saw from another topic that I can use detectnet-snap.py. I tried running the code, and it worked, but when I view the directory where the images should be stored, no file is saved.
Reference topic: Snap Image when detection (without bounding box) and save into a folder
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Hi,
Is there any error message output when saving the image?
print("detected {:d} objects in image".format(len(detections)))
timestamp = datetime.datetime.now().strftime(args.timestamp)
for idx, detection in enumerate(detections):
print(detection)
roi = (int(detection.Left), int(detection.Top), int(detection.Right), int(detection.Bottom))
snapshot = cudaAllocMapped(width=roi[2]-roi[0], height=roi[3]-roi[1], format=img.format)
cudaCrop(img, snapshot, roi)
cudaDeviceSynchronize()
saveImage(os.path.join(args.snapshots, f"{timestamp}-{idx}.jpg"), snapshot)
del snapshot
# render the image
output.Render(img)
# update the title bar
output.SetStatus("{:s} | Network {:.0f} FPS".format(args.network, net.GetNetworkFPS()))
# print out performance info
net.PrintProfilerTimes()
Thanks.
Hello,
I have already tried running the code without specifying my own directory or using the --snapshots option.
Below is the output when running the code with the default path:
And here is the result when I attempted to locate the default path:
Thank you for your assistance!
Hi
Could you search the file to see where it is stored?
$ sudo find / -iname 20250102-155717-532264-0.jpg
It should be under the build folder or beside the binary location.
Thanks.
system
February 26, 2025, 12:52am
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