Illegal instruction(core dumped) error on Jetson Nano

[fghoussen]

https://stackoverflow.com/questions/65631801/illegal-instructioncore-dumped-error-on-jetson-nano

https://forums.developer.nvidia.com/t/illegal-instruction-core-dumped-xavier/166278

numpy/numpy#18131 => Probléme spécifique sur ARM ?

OPENBLAS_CORETYPE=ARMV8 python3

[goldo31337]

diff --git a/aruco_detection/cameraCalibration.py b/aruco_detection/cameraCalibration.py
index aec9d1e..8db433f 100644
--- a/aruco_detection/cameraCalibration.py
+++ b/aruco_detection/cameraCalibration.py
@@ -4,6 +4,8 @@ import sys
 import cv2
 import numpy as np
 import h5py
+import jetson.utils
+
 
 def calibrateCamera(obj, img, gray):
     # Camera calibration.
@@ -56,9 +58,25 @@ def cmdLineArgs():
 
     return args
 
+def gstreamerPipeline (capture_width=1280, capture_height=720, display_width=640, display_height=360, framerate=60, flip_method=0) :
+    return ('nvarguscamerasrc ! '
+    'video/x-raw(memory:NVMM), '
+    'width=(int)%d, height=(int)%d, '
+    'format=(string)NV12, framerate=(fraction)%d/1 ! '
+    'nvvidconv flip-method=%d ! '
+    'video/x-raw, width=(int)%d, height=(int)%d, format=(string)BGRx ! '
+    'videoconvert ! '
+    'video/x-raw, format=(string)BGR ! appsink'  % (capture_width,capture_height,framerate,flip_method,display_width,display_height))
+
 def captureFrames(args):
-    # Get a video capture stream.
-    vid = cv2.VideoCapture(args.video)
+    # FIXME : DEBUG
+    # create video source & output
+    jetson_input = jetson.utils.videoSource("csi://0", "")
+    #output = jetson.utils.videoOutput("", "")
+
+    # FIXME : DEBUG
+    ## Get a video capture stream.
+    #vid = cv2.VideoCapture(gstreamerPipeline(flip_method=0), cv2.CAP_GSTREAMER)
 
     # Capture frames.
     print('Capturing frames... [c capture, q quit]')
@@ -71,7 +89,13 @@ def captureFrames(args):
         if info:
             print('  Capturing frame %s...' % len(frames))
             info = False
-        _, frame = vid.read()
+        # FIXME : DEBUG
+        #_, frame = vid.read()
+        rgb_img = jetson_input.Capture()
+        #output.Render(rgb_img)
+        bgr_img = jetson.utils.cudaAllocMapped(width=rgb_img.width,height=rgb_img.height,format='bgr8')
+        jetson.utils.cudaConvertColor(rgb_img, bgr_img)
+        frame = jetson.utils.cudaToNumpy(bgr_img)
 
         # Display the resulting frame.
@@ -93,8 +117,9 @@ def captureFrames(args):
         if key == ord('q'):
             break
 
-    # After the loop release the cap object.
-    vid.release()
+    # FIXME : DEBUG
+    ## After the loop release the cap object.
+    #vid.release()
     cv2.destroyAllWindows()
 
     return obj, img, gray

[goldo31337]

Pour memoire (alias statique pour intf ethernet):

ifconfig eth0:1 192.168.0.42/24