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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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Hi @jkjung-avt,
Thanks for all your Projects.
I wanted to know about the Deepstream Integration for your Project. Did you work on that? Anyone have Implemented that?
Thanks,
Darshan
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When using this repo for AR Foundation + Barracuda
https://github.com/derenlei/Unity_Detection2AR
I used AlexeyAB's Darknet fork to train a custom model using Yolo-v3-tiny making my own weights fr…
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I was trying to convert yolov4-tiny darknet -> onnx -> tensorrt
onnx export was working fine, but when i set the `MAX_BATCH_SIZE = 9` in onnx_to_tensorrt it was throwing me
```
Loading the ONNX…
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Hi, guys.
So... I tested the YOLO V3 (SPP and Tiny) conversion and I noticed that the model accuracy is lower after conversion. Currently, this model is 99.9% accurate, and it has only one class. …
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I just have one last question . I am getting **9 FPS** with `YOLOV4-tiny` . Do you think I can do anything to increase the FPS ?
- Model - `YOLOV4-Tiny`
- Classes - `80`
https://user-images.git…
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I use yolov4-tiny as test model. The FPS is 10fps in tx1,the tx1 is only have 1tops. The xavier nx up to 21tops. so I think the model run in nx could up to 100fps. but I test in xavier nx,it's only g…
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Due to the different environment, I created a new project on VS2015 in windows10, and added your and tensorRT code to the project, the program was compiled and passed
When I tried to load a trained m…
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Thank you for sharing such amazing work. I want to use Yolov4 Tiny with FastMot. But I am getting the following error
python3: yolo_layer.cu:118: virtual nvinfer1::Dims nvinfer1::YoloLayerPlugin::g…
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Nvidia provides benchmarks where a set of networks is the concurrent use of GPU (INT8) and two DLA’s (FP16) with the use or TensorRT and Jetson AGX Xavier, see: [https://developer.nvidia.com/embedded/…
ghost updated
3 years ago