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Hi @AlexeyAB .
I have a dataset for Licence Plate Recognition(Persian) and I want to do that via YOLO and object detection by your repository. Here I show a sample of my dataset(139x29 pixels):
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I am trying to build a custom model based on tiny yolo.
The dataset is OIDv4 with labels converted to yolov3 format.
I built darknet using visual studio 2015 on windows 10 machine . The training …
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Hi@AlexeyAB! Thank you for your post! I tried to use yolov3 to detect my dataset on OpenCV, it seems likes still very slow with only CPU. Is there any way to reduce the model size, such as reducing so…
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Traceback (most recent call last):
File "demo.py", line 77, in
saver.restore(sess, 'models/pretrain/yolo_tiny.ckpt')
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/training…
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Yolo v3 was just released here is the paper https://pjreddie.com/media/files/papers/YOLOv3.pdf
Do you have any plan to support it? Thanks!
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I see there is now a YOLOv4! This is exciting. Can someone comment on some of the highlights/differences between v3 and v4? The readme doesn't have much details.
When setting up new projects, sh…
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Error: CUDNN_STATUS_ARCH_MISMATCH - This GPU doesn't support DP4A (INT8 weights and input)
cudnnstat = 6
So jetson tx2 not support for quantized?
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Hi, i'm currently trying to run the ScaledYOLOv4 version of yolov4-tiny, however both in the ScaledYOLOv4 repository and the PyTorch-YOLOv4 i run into an error "AssertionError: Unsupported fields ['gr…
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Hi guys,
I have RK3588 board, that you have used in paper as edge device to run on.
I have trained my weights using edgeyolo_tiny_lrelu , converted to ONNX , than to RKNN using rknn-toolkit 1.4
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Hello,
I have trained yolo v3 tiny with two classes: for detecting bicycles and pedestrians. Training size was around 4000 pictures for each class, trained for around 20000 iterations.
In certai…