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Hello, I had tried to re-train the Yolo tiny using the COCO dataset before, but I think the result was not good. Then I saw your YOLOV4 and I tried it using your pre-trained weight. And the result is …
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# 这是我使用导出onnx的命令
python tools/export_model.py -c configs/ppyolo/ppyolo_tiny_650e_coco.yml \
-o weights=weights/ppyolo_tiny_650e_coco.pdparams \
…
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I installed opencv with CUDA with version 4.5.4
I run the file **yolo.py**
Training with a dataset called Chars74K, selecting a subset of number 0-9 and letter E, totally 11…
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First I have tried alexnet.cfg and lstm.train.cfg which has a [connected] layer in their CNN configuration file. But are showing the error of
**_cuDNN status Error in: file: c:\yolo\darknet\src\con…
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Installed all dependencies
pi@raspberrypi:/usr/local/lib/python3.5/site-packages $ python3
Python 3.5.3 (default, Jan 19 2017, 14:11:04)
[GCC 6.3.0 20170124] on linux
Type "help", "copyright", "c…
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I try to dump model for inference but got this error.
Error:
```
/Users/bilal_temp/Environments/keras_yolo/lib/python3.7/site-packages/keras_applications/mobilenet.py:207: UserWarning: `
input_s…
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I trained the dataset of VOC on YOLO v4-tiny, and the mAP on chart was 63.1%.
![chart_yolov4-tiny-compare](https://user-images.githubusercontent.com/51520993/99203471-9e35f200-27ed-11eb-8861-2d831a…