Crop detected image from camera

I am trying to save detected object from a camera stream into PNG image.
So far I am having Segmentation faults, on a cudaFromNumpy.
Have no clue why this happens. Debug prints of numpy array looks ok, sizes are in range.
Previously tried to use Python PIL library, but images wasn’t right.
Described PIL attemp in this issue:
https://github.com/dusty-nv/jetson-inference/issues/463

#!/usr/bin/python
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import jetson.inference
import jetson.utils

import argparse
import sys
from PIL import Image 
import tempfile
import numpy

# parse the command line
parser = argparse.ArgumentParser(description="Locate objects in a live camera stream using an object detection DNN.", 
						   formatter_class=argparse.RawTextHelpFormatter, epilog=jetson.inference.detectNet.Usage())

parser.add_argument("--network", type=str, default="ssd-mobilenet-v2", help="pre-trained model to load (see below for options)")
parser.add_argument("--overlay", type=str, default="box,labels,conf", help="detection overlay flags (e.g. --overlay=box,labels,conf)\nvalid combinations are:  'box', 'labels', 'conf', 'none'")
parser.add_argument("--threshold", type=float, default=0.5, help="minimum detection threshold to use") 
parser.add_argument("--camera", type=str, default="0", help="index of the MIPI CSI camera to use (e.g. CSI camera 0)\nor for VL42 cameras, the /dev/video device to use.\nby default, MIPI CSI camera 0 will be used.")
parser.add_argument("--width", type=int, default=1280, help="desired width of camera stream (default is 1280 pixels)")
parser.add_argument("--height", type=int, default=720, help="desired height of camera stream (default is 720 pixels)")

try:
	opt = parser.parse_known_args()[0]
except:
	print("")
	parser.print_help()
	sys.exit(0)

# load the object detection network
net = jetson.inference.detectNet(opt.network, sys.argv, opt.threshold)

# create the camera and display
camera = jetson.utils.gstCamera(opt.width, opt.height, opt.camera)
display = jetson.utils.glDisplay()

# process frames until user exits
with tempfile.TemporaryDirectory() as tmpdirname: 
	while display.IsOpen():
		# capture the image
		img, width, height = camera.CaptureRGBA(zeroCopy=1)
		jetson.utils.cudaDeviceSynchronize()

		# detect objects in the image (with overlay)
		detections = net.Detect(img, width, height, opt.overlay)

		# print the detections
		print("detected {:d} objects in image".format(len(detections)))
		array = jetson.utils.cudaToNumpy(img, width, height, 4)		
		for detection in detections:
			print(detection)

			im = Image.fromarray(array, "RGBA")
			cropped = im.crop((detection.Left, detection.Top, detection.Right, detection.Bottom))
			path = tmpdirname + "/" + str(detection.Instance) + ".png"
			# cropped.save(path, "PNG") 
			cuda_mem = jetson.utils.cudaFromNumpy(numpy.array(cropped))
			jetson.utils.saveImageRGBA(path, cuda_mem, width, height)
			print("detection stored at: " + path)

		# render the image
		display.RenderOnce(img, width, height)

		# update the title bar
		display.SetTitle("{:s} | Network {:.0f} FPS".format(opt.network, net.GetNetworkFPS()))

		# print out performance info
		net.PrintProfilerTimes()

hello ckryvomaz,

you may had the wrong format of the numpy array. could you please refer to Topic 1066620 for reference,
thanks