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Hi,
Firstly thanks for the awesome example - excited to get it working.
I am having trouble running the YOLO on the NVidia Jetson. Below is the log output.
I feel the error is this: "NvRmPrivGetChipPlatform: Could not read platform information" but I can't find any information on it.
Python 3.6.8 (default, Jan 14 2019, 11:02:34)
[GCC 8.0.1 20180414 (experimental) [trunk revision 259383]]
Yolo Capture Azure IoT Edge Module. Press Ctrl-C to exit.
VideoCapture::__init__()
OpenCV Version : 4.1.0
===============================================================
Initialising Video Capture with the following parameters:
- Video path : https://www.youtube.com/watch?v=YZkp0qBBmpw
- Video width : 0
- Video height : 0
- Font Scale : 0.8
- Inference? : False
- ConficenceLevel : 0.8
ImageServer::run() : Started Image Server
YoloInference::__init__()
===============================================================
Initialising Yolo Inference with the following parameters: github toolbox
- Setting Classes
- Setting Colors
- Loading Model and Config
Try to load cfg: yolo/yolov3-tiny.cfg, weights: yolo/yolov3-tiny.weights, clear = 0
ImageServer::Started.
NvRmPrivGetChipPlatform: Could not read platform information
Expected on kernels without fuse support, using silicon
The text was updated successfully, but these errors were encountered:
Hi,
Firstly thanks for the awesome example - excited to get it working.
I am having trouble running the YOLO on the NVidia Jetson. Below is the log output.
I feel the error is this: "NvRmPrivGetChipPlatform: Could not read platform information" but I can't find any information on it.
The text was updated successfully, but these errors were encountered: