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Hello everyone, here is a code that can convert the weights of darknet to onnx model. Now it can support the conversion of **yolov4**, **yolov4-tiny**, **yolov3**, **yolov3-spp** and **yolov3-tiny** d…
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I try to convert my custom darknet .weights to .h5 but i got error 'AssertionError'
this is my command :
`!convert-darknet-weights ./yolov4-digits-digital_best.weights -o yolov4-digits_digital…
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when i run convert.py in deep_sort_yolov4 ，it occurs TypeError: a bytes-like object is required, not 'str'.
is that a version error？
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I'm trying to train a Yolov4 custom model but having problems when testing the model: Incorrect bounding boxes
First some information:
Dataset: 12,000 images.
Dimensions of imagess: 1920x1080
Cl…
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请问yolov4的代码完成了么？在loss以及build_target方面似乎还是v5的代码
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Traceback (most recent call last):
File "detect.py", line 104, in
app.run(main)
File "D:\ProgramData\Anaconda3\envs\yolov4\lib\site-packages\absl\app.py", line 299, in run
_run_main(m…
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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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Firstly, thanks for your work!'
When I train yolov4 with my customized data in Linux,
> "./darknet detector train build/darknet/x64/data/obj.data cfg/yolo-obj.cfg build/darknet/x64/yolov4.con…
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the content of cmakefile is below:
project(helloworld)
cmake_minimum_required(VERSION 3.1.0)
find_package(OpenCV REQUIRED)
include_directories(${OpenCV_INCLUDE_DIRS})
###
set(include_darke…