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Yolo3Detection segfault on cv::resize - Jetpack 5.0 #300

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opened 2023-02-05 20:00:31 +01:00 by ckurtz22 · 3 comments
ckurtz22 commented 2023-02-05 20:00:31 +01:00 (Migrated from github.com)
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Running the Yolo3Detection class in Jetpack 5.0. When I call Yolo3Detection::update, I get a segfault, as shown in gdb below:
image

Running the Yolo3Detection class in Jetpack 5.0. When I call Yolo3Detection::update, I get a segfault, as shown in gdb below: ![image](https://user-images.githubusercontent.com/14020943/216831717-195445f9-1643-470b-bc48-c468cf439886.png)
ckurtz22 commented 2023-02-06 05:54:37 +01:00 (Migrated from github.com)
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Seems the issue is that jetpack has installed 2 versions of OpenCV, 4.5.4 and 4.2.0. I'm using tkDNN inside a larger CMake project, and that CMake project is targeting OpenCV 4.2.0 (cv_bridge from ROS Noetic), and tkDNN is targeting the OpenCV 4.5.4 version. Struggling to find a way to make these packages play nice

Seems the issue is that jetpack has installed 2 versions of OpenCV, 4.5.4 and 4.2.0. I'm using tkDNN inside a larger CMake project, and that CMake project is targeting OpenCV 4.2.0 (cv_bridge from ROS Noetic), and tkDNN is targeting the OpenCV 4.5.4 version. Struggling to find a way to make these packages play nice
ckurtz22 commented 2023-02-06 08:29:34 +01:00 (Migrated from github.com)
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Was able to resolve it by manually building and installing opencv and then running the uninstall make target to remove the 4.5.4 files, so only 4.2.0 was left in the system. Now tkDNN targets the 4.2.0 opencv

Was able to resolve it by manually building and installing opencv and then running the uninstall make target to remove the 4.5.4 files, so only 4.2.0 was left in the system. Now tkDNN targets the 4.2.0 opencv
ChanJoon commented 2023-11-25 21:40:11 +01:00 (Migrated from github.com)
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your thread was helpful for me. I resolve this issue by manually building cv_bridge with my OpenCV version. (In my case 4.8.0 and 4.2.0(noetic))

your thread was helpful for me. I resolve this issue by manually building cv_bridge with my OpenCV version. (In my case 4.8.0 and 4.2.0(noetic))
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Reference: mmr/tkDNN#300
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