Comments (5)
ROS will generate those header files automatically when creating the msg files. I just tested it and it should work. Try adding
add_dependencies(ROS_interface my_package_generate_messages_cpp)
add_dependencies(yolo_object_detector my_package_generate_messages_cpp)
at the bottom of your CMakelists.txt and try again.
from darknet_ros.
sorry~ i have a another problem about use catkin_make.
The problem is
How do i fix this question?
Thank you!
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Your catkin_make is unable to find your cuda libraries. Make sure you have set your LD_LIBRARY_PATH appropriately. It should be:
LD_LIBRARY_PATH=/usr/local/cuda/lib64:$LD_LIBRARY_PATH
or /usr/local/cuda/lib depending on your cuda version.
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Thanks! I have solved this problem when i use: sudo ln -s /usr/local/cuda/lib64/libcurand.so /usr/lib/libcurand.so
but...when i execute "rosrun darknet_ros yolo_object_detector"
Theu have some error like this:
I don't know what happen about this..
Thanks you!
from darknet_ros.
It looks like you are trying to use the weights/cfg file from YOLOv2. Unfortunately, I'm still working on updating this code to v2 but for now you can use the weights and cfg files from v1. Check out the v1 site here: https://pjreddie.com/darknet/yolov1/. You should be able to download the v1 weights from here: http://pjreddie.com/media/files/tiny-yolo.weights
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Related Issues (17)
- Missing face_tracker HOT 1
- hello HOT 2
- CMakeList.txt should have different dependencies HOT 1
- cannot find -lopencv_dep_cudart HOT 3
- Cannot subscribe to a image topic HOT 5
- Cannot run with different cfg file HOT 9
- Different Detections
- Unable to open/load any of the cfg file HOT 1
- Can this code public a class label ?
- Can modify darknet_ros subscribe the datatype of the image format ? I want to use the format of sensor_msgs/CompressedImage rather than sensor_msgs/Image
- failed when using yolo.cfg and yolo.weights HOT 1
- Error with CUDA HOT 2
- Error with bbox coordinates HOT 7
- error with Segmentation fault (core dumped) when rosrun ROS_interface HOT 4
- detection in low frame rate HOT 1
- huge different result of recognition between darknet yolo and the single_image_test node for the same specified image HOT 17
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