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My Deep Learning Repo
Hi. I'm trying to do this tutorial with Yolov4. But I've some problems. In YoloV4 , in config file, route layer has 4 arguments. In Yolov3 it was 2 argument. How can i implement with 4 argument? Sorry for my bad English.
can you please suggest how to detect custom image dataset?
Hi,
when I run python3 convert_weights.py
the error below occurs.
christopher@ccz:~/Deep-Learning$ python3 convert_weights.py
2020-09-26 18:32:45.032131: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.0
2020-09-26 18:32:48.161327: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libnvinfer.so.6
2020-09-26 18:32:48.163125: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libnvinfer_plugin.so.6
ausgeführt
Traceback (most recent call last):
File "convert_weights.py", line 78, in <module>
main()
File "convert_weights.py", line 67, in main
model=YOLOv3Net(cfgfile,model_size,num_classes)
File "/home/christopher/Deep-Learning/yolov3.py", line 29, in YOLOv3Net
blocks = parse_cfg(cfgfile)
File "/home/christopher/Deep-Learning/yolov3.py", line 11, in parse_cfg
with open(cfgfile, 'r') as file:
FileNotFoundError: [Errno 2] No such file or directory: 'cfg/yolov3.cfg'
I dont really know why it can't find yolov3.cfg file???
I start the convert_weights.py file within this directory:
christopher@ccz:~/Deep-Learning$ ls
convert_weights.py __pycache__ video.py YOLOv3_TF2
image.py utils.py yolov3.py
And as you can see the yolov3.cfg file is at its place.
christopher@ccz:~/Deep-Learning$ cd YOLOv3_TF2/
christopher@ccz:~/Deep-Learning/YOLOv3_TF2$ ls
cfg data README.md video.py yolov3.py
convert_weights.py image.py utils.py weights
christopher@ccz:~/Deep-Learning/YOLOv3_TF2$ cd cfg
christopher@ccz:~/Deep-Learning/YOLOv3_TF2/cfg$ ls
yolov3.cfg
Any idea what's going wrong?
Best regards
chris
I think you have typo for CPU users on https://github.com/RahmadSadli/Deep-Learning/blob/master/YOLOv3_TF2/README.md
it says GPU =>> conda install -c conda-forge tensorflow-gpu=2.0
Recently I also started Building a project in tensorflow implementation as there are no standard tensorflow work on this as i have came across a repo in pytorch here but I don't know much of tensorflow framework but I will try to learn it on the way of implementation this project
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