I have trained a 3 class tiny yolov3 model and successfully converted to IR files using OpenVino 2020.1.023 which was successful in inferencing single NCS2 object detection. But, failed in inferencing multi NCS2 object detection.
Below mentioned is the error running openvino_tiny_yolov3_Multistick_test.py, which displays the test video but failed to detect the object.
cnt, dev = heapq.heappop(self.heap_request)
IndexError: index out of range
Device: Raspberry Pi 4
Architecture: armv7l
OS: Raspbian
I have trained a 3 class tiny yolov3 model and successfully converted to IR files using OpenVino 2020.1.023 which was successful in inferencing single NCS2 object detection. But, failed in inferencing multi NCS2 object detection.
Below mentioned is the error running openvino_tiny_yolov3_Multistick_test.py, which displays the test video but failed to detect the object.
cnt, dev = heapq.heappop(self.heap_request) IndexError: index out of range