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@jkjung-avt I am having an issue running the custom model. Please find the error output below:
python3 trt_yolo.py --usb 0 --model yolov4-custom-416 --category_num 1
[ WARN:0] global /home/nvidia/ho…
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Hey @jkjung-avt ,
I didn't see any code for int8 inference so I tried to implement it myself and managed to get the calibrator working for yolov4/int8.
Do you have any plans to add int8 to your eval…
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Hello, Thank you for your great work.
Is it possible to adds support for TensorRT 5 for Jetson nano?
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Hi, i've trained the yolov4-tiny-crowdhuman-416x416 and now trying to convert it to onnx on jetson nano, but have a error:
```
Parsing DarkNet cfg file...
Building ONNX graph...
graph yolov4-tin…
sawk1 updated
3 years ago
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@tjuskyzhang the detections are not working in with the tiny 3l config.
All I have done is modify the CSP version in your repository to match my config file and then converted the weights successf…
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i have converted a yolov4-tiny model to TRT successfully, but i am getting 10 fps only, which is much lower than the expected result.
i have realized that the TRT model size is 32.3 mbs, when the o…
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Hi @pythonlessons
I am trying to run the yolov3-tiny with the `detection_demo.py` script but unfortunately I am receiving this error
```
File "detection_demo.py", line 22, in
yolo = Load_…
ghost updated
3 years ago
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Hey Alexis. Thank you for the great work.
I tried to run YOLOv4-tiny-416 model using an ONNX file converted using https://github.com/jkjung-avt/tensorrt_demos/blob/master/yolo/yolo_to_onnx.py.
…
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I recently trained a yolov4-tiny model, exported the weights using the darknet utility, and prepared to convert the model to TensorRT, but I keep getting this error:
![image](https://user-images.gi…
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So I used AlexeyAB's Darknet fork to train a custom model using Yolo-v3-tiny making my own weights from scratch to make a detector for apples/oranges as a quick test.
I used this guide to convert …