libopencv_highgui.so.3.2找不到

发布于 2025-02-09 18:59:34 字数 1388 浏览 2 评论 0原文

我是Linux Ubuntu 20.4用户。我试图执行我的代码:

./darknet detector test ~/Documents/Data_challenge/Apple_detection_via_YOLOV4/main_folder/Model_ALL_views/obj.data ~/Documents/Data_challenge/Apple_detection_via_YOLOV4/main_folder/yolov4-tiny-test.cfg ~/Documents/Data_challenge/Apple_detection_via_YOLOV4/main_folder/Model_ALL_views/backup/yolov4-tiny-train_best.weights -thresh 0.20 -dont_show -out ~/Documents/Data_challenge/Apple_detection_via_YOLOV4/main_folder/Model_ALL_views/Prediction.csv < ~/Documents/Data_challenge/Apple_detection_via_YOLOV4/main_folder/Model_ALL_views/test.txt

此代码使我

./darknet: error while loading shared libraries: libopencv_highgui.so.3.2: cannot open shared object file: No such file or directory

搜索了库缺少的库: ldd darknet

因此,我试图找到libopencv_highgui.so。 3.2存在及其位置: sudo find/-name libopencv_hig*

存在。

  • 表示Libopencv_highgui.so.3.2不 /a>(2019年12月12日)
  • @Guerillagorilla (2017年12月24日) ),

但他们对我的情况不起作用。

I am linux ubuntu 20.4 user. I was trying to execute my code :

./darknet detector test ~/Documents/Data_challenge/Apple_detection_via_YOLOV4/main_folder/Model_ALL_views/obj.data ~/Documents/Data_challenge/Apple_detection_via_YOLOV4/main_folder/yolov4-tiny-test.cfg ~/Documents/Data_challenge/Apple_detection_via_YOLOV4/main_folder/Model_ALL_views/backup/yolov4-tiny-train_best.weights -thresh 0.20 -dont_show -out ~/Documents/Data_challenge/Apple_detection_via_YOLOV4/main_folder/Model_ALL_views/Prediction.csv < ~/Documents/Data_challenge/Apple_detection_via_YOLOV4/main_folder/Model_ALL_views/test.txt

This code took me this output

./darknet: error while loading shared libraries: libopencv_highgui.so.3.2: cannot open shared object file: No such file or directory

I searched what libraries is missing :
ldd darknet

So, I tried to find if libopencv_highgui.so.3.2 exist and where it is located : sudo find / -name "libopencv_hig*.

Then, it means libopencv_highgui.so.3.2 doesn't exist. I looked some forum about this problem :

but they doesn't work on my situation.

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