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Tossy0423 / yolov4-for-darknet_ros

This is the environment in which YOLO V4 is ported to darknet_ros.
MIT License
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darknet_ros dies / crash when deleting labels in yolo yaml #3

Open SteveJos opened 4 years ago

SteveJos commented 4 years ago

Hey @Tossy0423 ,

great job updating darket_ros to yolov4! I would like to detect only one class in the image but unfortunately if you remove at least one label in yolov4 (3 as well).yaml darknet crashes exactly in the moment of the first detection.

Here the gdb output:

`[New Thread 0x7ffddffff700 (LWP 28236)] [Thread 0x7ffde4b9c700 (LWP 28235) exited] [ INFO] [1603404568.634471341]:

[ INFO] [1603404568.634548849]: FPS:2101.4

Thread 42 "darknet_ros" received signal SIGSEGV, Segmentation fault. [Switching to Thread 0x7ffddffff700 (LWP 28236)] get_actual_detections (dets=dets@entry=0x7ffdc1b582a0, dets_num=, thresh=thresh@entry=0.300000012, selected_detections_num=selected_detections_num@entry=0x7ffddfffc4ac, names=names@entry=0x555555e1aab0) at src/darknet_ros/darknet/src/image.c:300 300 int show = strncmp(names[j], "dont_show", 9); (gdb) [darknet_ros-1] killing on exit `

Please check this issue....

Thanks

Tossy0423 commented 4 years ago

Hi! @SteveJos

Thank you for use yolov4-for-darknet_ros!

It may be difficult to change the number of objects recognized by simply changing the labels. This is because the model we use in our repository is already trained. If it recognizes only one label, as it did in this case, it may need to be relearned. It seems there are many ways to relearn yolov4.