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hi I tried to train my own data set using cfg/tiny-yolo-voc.cfg tiny-yolo-voc.weight.
I have changed the class to 2, lable.txt, and the last conv filter to 35(5*(2+5))
the training script is as foll…
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thanx for this project
i have tried raccoon train on tiny yolo and useed this config
`{
"model" : {
"backend": "Tiny Yolo",
"input_size": 416,
…
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It would be great to check cross-platform benchmarking, for which a basic test can be done through:
```julia
pkg> add https://github.com/ianshmean/YOLO.jl
pkg> test YOLO
```
For my modern Mac…
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Hi.
I tried to train by
Make train
command.
But, I can not finished training. as below
```
Traceback (most recent call last):
File "/home/sounansu/anaconda3/envs/tiny-yolo-tensorflow/lib/pyt…
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I make some changes in yolov4_416x416_qtz.json and accuracy_checker\adapters\yolo.py as follows:
"type": "yolo_v3",
"anchors": "10.0, 14.0, 23.0, 27.0, 37.0, 58.0, 81.0, 82.0, 1…
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README.md says that this benchmark script supports "YOLO-V3 : 608x608", but only YOLO-V3 Tiny is available. Is there any option to perform a benchmark for YOLO-V3(608x608 or 416x416)?
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As title,
I use yolov2-tiny to detect license plate.
There are more than one plate in the images.
But YOLO just detect one plate.
I set class=1 to only detect plate.
And I only have few train d…
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Thanks for the great article, i was able to create my own dataset.
Question : How we can use the train model on other machine.
(trained on windows and want to use the same on Linux machine- Raspberr…
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When I call the TORCH2TRT module for Yolo series algorithm reasoning, encountered such error, I hope to get the answer.
D:\Anaconda3\envs\python37\lib\site-packages\torch\_tensor.py:1013: UserWarni…
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Hey,
I am trying to run darknet tiny yolo v3 object detection in jetson TX1 with jetpack 3.2 along with CUDA 9. But it is unable to detect the object. However it is working fine on my TX1 with jetp…