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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:
```python3 convert_weights_pb.py …
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**[Required]** Your device (RaspberryPi3, LaptopPC, or other device name):
Intel NUC
**[Required]** Your device's CPU architecture (armv7l, x86_64, or other architecture name):
x86_64
…
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**[Required]** Your device (RaspberryPi3, LaptopPC, or other device name):
**[Required]** Your device's CPU architecture (armv7l, x86_64, or other architecture name):
**[Required]** Your…
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Hi,
Thanks for your sharing!
The Core m3 seems more powerful than other SoCs, Do you have plan to try TPU with RP3?
Thanks.
BRs,
Lee
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**[Required]** Your device (RaspberryPi3, LaptopPC, or other device name): Raspberry PI3
**[Required]** Your device's CPU architecture (armv7l, x86_64, or other architecture name): armv7l
…
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I am running YOLOv3-Tiny 224*224 on NCS2 with Raspberry Pi 3B+
My conversion environment is Python3.5, TensorFlow1.12.0, OpenVINO 2019 R1
$ python convert_weights_pb.py --weights_file yolov3-tiny.…
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### Problem Summary and status of similar tests
I am having trouble getting neuralchat to work with my **Intel Data Center Flex 170 GPU**. Below is my procedure with the **build_chatbot_on_xpu** Ju…
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@johnolafenwa
**environment**
Raspberry Pi
Raspbian OS
NCS 2
Home Assistant framework
**What I'm interested for?**
As far as I understand activation on Raspberry Pi is not supported anymore,…
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I was unable to find the graph file. I did generate a new AlexNet graph file, but it was on my NCS dev machine, which has the NCSDK2 branch. I get the following when I try to run stuff:
_ready
NCS d…
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Hello,PINTO0309!
When I trained MobileNet-SSD on my own datasets(20 different classes, 400 images per class), I found the results of FP32 and FP16 be completely different(the caffe model test detecti…