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I saw that [TensorRT supports dynamic input shapes](https://docs.nvidia.com/deeplearning/tensorrt/developer-guide/index.html#work_dynamic_shapes) and thought this will allow us to use YOLO models trai…
kgksl updated
3 years ago
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Hello JK,
I am trying to convert a custom-trained yolov4-tiny-3layer model to tensorRT to do accelerated inference on the Jetson AGX. However I haven't been successful.
There was an old post abou…
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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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Hi Marcos,
I noticed that your modified code for nvdsinfer_custom_impl_Yolo doesn't support non-square/asymmetric models (width!=height).
This was unexpected as I saw your discussion about attempt…
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Hi @jkjung-avt ,
I would like to test the performance of the model with the weight "yolov4-tiny-3l-crowdhuman-416x416" ! Can you share me the weight file of it ? I very appreciate your work ! Than…
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I set 'random=1' in cfg file, and train custom dataset, and then I set 416x416 in cfg file to detect objs, but it can detect most of the small size objs, can not detect the one of big size. And when I…
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I have been testing many versions of yolov4-tiny. Recently, alex released a yolov4-tiny-3l cfg.
https://github.com/AlexeyAB/darknet/blob/de68e19cc627f642023f09513ac2306fbcbc1e4b/cfg/yolov4-tiny-3l.c…
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Hello, good job with the yolov4 instructions and sharing weights
Do you have yolov4 tiny trained weights as well? If so, could you share it and the corresponding cfg?
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Hello JK,
I am trying to convert a custom-trained [yolov4-tiny-3layer](https://github.com/AlexeyAB/darknet/blob/master/cfg/yolov4-tiny-3l.cfg) model to tensorRT to do accelerated inference on the J…
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You showed this:
```
#windows default OpenVINO path
python convert_weights_pb.py --class_names cfg/coco.names --weights_file yolov4.weights --data_format NHWC
"C:\Program Files (x86)\IntelS…