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YoloV3/tiny-YoloV3+RaspberryPi3/Ubuntu LaptopPC+NCS/NCS2+USB Camera+Python+OpenVINO

Results 52 OpenVINO-YoloV3 issues
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Hi, First of all, I have successfully implement openvino_tiny-yolov3_test.py. Then, I would like to trade the accuracy for speed by reducing the input_size (416 -> 320), I have successfully achieve...

My device is LaptopPC Ubuntu16.04 64bit Process: intel core i7-4650U Graphics: intel Haswell Mobile intel Movidius Neural Compute Stick V1 **[Required]** Details of the work you did before the problem...

C:\Intel\OpenVINO-YoloV3-master>python openvino_tiny-yolov3_test.py Traceback (most recent call last): File "openvino_tiny-yolov3_test.py", line 250, in sys.exit(main_IE_infer() or 0) File "openvino_tiny-yolov3_test.py", line 178, in main_IE_infer plugin.add_cpu_extension("lib/libcpu_extension.so") File "ie_api.pyx", line 423, in openvino.inference_engine.ie_api.IEPlugin.add_cpu_extension File "ie_api.pyx",...

Hi, Thank you very much for your guide and I finally got customised trained yolov3 tiny version working on my laptop. Also the yolov3 version is working at 4~5FPS. My...

**[Required]** Your device (RaspberryPi3, LaptopPC, or other device name): RaspberryPi3 **[Required]** Your device's CPU architecture (armv7l, x86_64, or other architecture name): armv7l **[Required]** Your OS (Raspbian, Ubuntu1604, or other os...

Does it work using Picamera (**not USBCamera**)? My Environment is Raspi 3(B+) + Rasbian(OS) + Picamera + NCS2 I got below error (python3:3413): GStreamer-CRITICAL **: gst_element_get_state: assertion 'GST_IS_ELEMENT(element)' failed VIDEOIO...

**[Required]** Your device (RaspberryPi3, LaptopPC, or other device name): LaptopPC **[Required]** Your device's CPU architecture (armv7l, x86_64, or other architecture name): I7 8700K **[Required]** Your OS (Raspbian, Ubuntu1604, or other...

**[Required]** Your device (RaspberryPi3, LaptopPC, or other device name): LaptopPC-NCS2 **[Required]** Your device's CPU architecture (armv7l, x86_64, or other architecture name): x86_64 **[Required]** Your OS (Raspbian, Ubuntu1604, or other os...

I have a trained YOLO network with 5 classes. Steps that I took. 1. Convert from my YOLO weight file (trained using Darknet C++ model) to IR: Conversion to pb:...

**[Required]** Device : CPU i5 **[Required]** Your device's CPU architecture (armv7l, x86_64, or other architecture name): x86_64 **[Required]** Your OS (Raspbian, Ubuntu1604, or other os name): Windows **[Required]** Details of...