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PINTO0309 / MobileNet-SSD-RealSense

[High Performance / MAX 30 FPS] RaspberryPi3(RaspberryPi/Raspbian Stretch) or Ubuntu + Multi Neural Compute Stick(NCS/NCS2) + RealSense D435(or USB Camera or PiCamera) + MobileNet-SSD(MobileNetSSD) + Background Multi-transparent(Simple multi-class segmentation) + FaceDetection + MultiGraph + MultiProcessing + MultiClustering
https://qiita.com/PINTO
MIT License
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How to use all 80 classes of coco dataset : SingleStickSSDwithRealSense_OpenVINO_NCS2.py #34

Open sahanashetty31 opened 4 years ago

sahanashetty31 commented 4 years ago

[Required] Your device (RaspberryPi3, LaptopPC, or other device name): LaptopPC

[Required] Your device's CPU architecture (armv7l, x86_64, or other architecture name): x64

[Required] Your OS (Raspbian, Ubuntu1604, or other os name): Ubuntu 1804

[Required] Details of the work you did before the problem occurred:

I have run the SingleStickSSDwithRealSense_OpenVINO_NCS2.py code.
Components used: Intel RealSense camera D435, Intel NCS2 and LaptopPC
[Required] Error message:



[Required] Overview of problems and questions:

I want to include(train) all the 80 classes of coco dataset and use it in the Single StickSSDwithRealSense_OpenVINO_NCS2 python program