Comments (8)
Hang tight, I will be investigate and implement this in a more convenient package. Will inform once finished.
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I'm currently working on yolo3 too.
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I am working on yolo3, currently training darknet53 on imagenet. Open to collaborations :)
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Yolo3 is ongoing in gluon cv package: https://github.com/dmlc/gluon-cv
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Any news about this?
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I have completed an yolo v3 example for R language in tiny VOC 2007 dataset.
https://github.com/xup6fup/MxNetR-YOLO
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Any update on yolov3-coco?
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@prnvjb Please checkout https://gluon-cv.mxnet.io/model_zoo/index.html#object-detection, tons of best models are available now for detection!
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Related Issues (20)
- import HOT 1
- Error in building HOT 4
- What the number of column 9 mean in file *.lst? HOT 1
- Can not run using GPU HOT 2
- how to write a .json config file? HOT 1
- why error when using pretrained model?
- MXNet built from source problem HOT 3
- AttributeError: module 'mxnet.contrib.symbol' has no attribute 'YoloOutput' HOT 10
- The different effects of different resnet pretrained models HOT 3
- 'module' object has no attribute 'Yolo2Output' HOT 8
- Errors when running demo.py and video_demo.py HOT 1
- mxnet.base.MXNetError: Failed loading Op yolo_output of type _contrib_Yolo2Output: [13:11:48] src/core/op.cc:55: Check failed: op != nullptr Operator _contrib_Yolo2Output is not registered HOT 6
- method get_symbol() cannot be invoked correctly HOT 2
- Acc don't change
- training on my own dataset
- symbol_darknet19.py batchnorm layers use_global_stats problems
- Why not use the mxnet.image.ImageDetIter?
- Not reliable
- What is the execution environment
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