Hello,
I’m trying to convert YOLOv4 .onnx model to .rknn with the help of rknn-toolkit2. It performes well on PC using test.py code from toolkit examples but fails on AIO-3568J using rknpu .cc code. It returns error during inference (rknn.run):
E RKNN: [02:49:39.674] failed to submit!, op id: 227, op name: OutputOperator:139_convolutional, flags: 0x1, task start: 0, task number: 2583, run task counter: 2322, int status: 0
Tried to convert original darknet model to .rknn but recieved the same mistake. Have anyone tried to inference YOLOv4 rknn model before?