Hanker

Similar problem when using this for grasp task with a customized mesh file. Any new solution? I had tried the sleep solution, it seems no help...

I tested it again as you said. result is as following: rosrun darknet_ros single_image_test /home/robot/catkin_ws/src/darknet_ros/data/dog.jpg init done image:/home/robot/catkin_ws/src/darknet_ros/data/dog.jpg image width:768,image height:576 Loading network... layer filters size input output 0 conv...

But i have tested many times, if i use my own cfg and weights file, the result is really different....

the cfg file using in darknet program is as following: [net] batch=64 subdivisions=8 width=416 height=416 channels=3 momentum=0.9 decay=0.0005 angle=0 saturation = 1.5 exposure = 1.5 hue=.1 learning_rate=0.001 max_batches = 80200...

Is it the problem of different image preprocessing? because my image is a 1920x1080 RGB color image... Or is it the different test function that the two program really use...

i will try the solution that you give later... ok, i have modified the source code. and according to the result image of prediction, it can be found that the...

I have tested the yolo_run node using the darknet official tiny-yolo-voc cfg and weights, it worked well, but i did not analysis the detail...and i did not test it on...

yes, i cloned the darknet from the darknet official website not long ago. Beside i once test the yolo_ros using my own cfg and weights file, but it seems the...

I had got the usage of angle from the other cfg files, it can be valued as angle=7 and so on, maybe it can not be given a series values....

Hello! Did you receive my latest comment...can you give me some advices... By the way, can you add some essential comment to the main c++ file, such as the run_yolo.cpp?...