Hi kazeb,
Thank you for reporting this issue.
We are currently looking into it and will get back to you.
Best,
Yang
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Hi kazeb,
I have tried it on colab and it seems working.
https://colab.research.google.com/drive/14cE5fdwPsvLfSIoT7SwCUAyKgprr_oJ7?usp=sharing (I stopped the training process because it takes some time to finish.)
Is it possible to share your notebook, so that we can diagnose the problem.
Thanks,
Yang
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Hi Kazeb,
Glad it worked.
For your notebook, while we are still trying to figure out the root cause of the problem, I did find a workaround:
You can move the “transform_targets_for_output” function definition to a file (e.g. functions.py)
And then import it in the from the notebook cell.
I also created a github issue to track the progress (https://github.com/intel-analytics/BigDL/issues/7349).
Thank you again for reporting the issue.
Yang
To: Wang, Yang3
yang3...@intel.com
Subject: Tin nhắn riêng tư về: [bigdl-user-group] Error when running yolov3 example
Hi Yang,
I tried your approach and It worked.
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Here is my notebook that encountered the issue before: https://colab.research.google.com/drive/1Us_3x2qvGJp9QPE0T-R4rGyDzs_mjBnN?usp=sharing
Instead of using VOC2009 data and `write_parquet` function in your example, I used my data and wrote it to parquet file. Here is the data: https://drive.google.com/drive/folders/1HiogpI2BO_IQZK27RHmORJ023nPsMeJL?usp=sharing
--------------------------------------------------------
Thank you for your time and your support,
kazeb
Hi kazeb,
The format is indeed the same as the label value format of the `parse_data_train` function.
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Hi Kazeb,
We used the default parameter specific the training script, which is 2 epochs.
I think it is easier to detect cat images because this task is more similar the pretraining task. Detecting license plate could be harder so I think it makes sense that it needs more epochs.
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