Please provide complete information as applicable to your setup.
• Hardware Platform (Jetson / GPU)
• DeepStream Version
• JetPack Version (valid for Jetson only)
• TensorRT Version
• NVIDIA GPU Driver Version (valid for GPU only)
I have some trouble with deepstream.
I trained a Yolov3-tiny on darknet with specific classes :
cedez le passage
As you can see it contains some classes of the COCO dataset but not only them, and not in the same order.
I trained on darknet, and It worked : I took somes pictures to verify it :
Then I took the .cfg .weight and .names for deepstream (I uses deepstream 4.0).
I changed the number of classes in nvdsparsebbox_Yolo.cpp, and I compiled it.
I also created a config_infer_primary… and deepstream_app_config… and configure it well (right number of classes, right sources)
I changed my .names for labels.txt
And I tried Yolo_Deepstream
I don’t understand my results :
For now The video I used let me saw theses objects :
but i detect this :
person is detected as person
car is detected as bicycle
bicycle is detected as wheelchair
wheelchair is detected as…wheelchair.
I really don’t know where is the problem, It works on darknet, and I didn’t modify the order.
Plus, first I thought that some classes were inversed, with car->bicycle and bicycle->wheelchair, but wheelchair->wheelchair!
Do you know where the problem can be in deepstream?