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Dataset is missing in darknet backup, no running of any module in anaconda and many more #7

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GabruRwt opened this issue Feb 22, 2022 · 4 comments

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@GabruRwt
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there are so much error in this
no dataset present in darknet backup which you mention in readme file
totally different explaination in the drive video
yolo direct link is also not working
hope this fix issue soon

@RonLek
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RonLek commented Feb 22, 2022

@GabruRwt

  1. We have NOT opensourced the dataset.
  2. The drive video was built for SIH - the only difference you'll find between then and now is the authentication (which isn't required any more). We've made everything public.
  3. Thanks for bringing this to our notice. The account had been disabled due to a malicious sign-in attempt. I've restored this now and made sure this doesn't happen again. The link should continue to work now.

@GabruRwt
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hey can you just a make another video how to run this because its still showing so many error like cloning error, requiring authentication and many more. this will be benefit for me and also for other who want to refer this as a project..

@RonLek
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RonLek commented Feb 22, 2022

The project is more than 2 years old - I doubt if most of the team would be able to find the time to make a video.

The most important part is the trained model with the weights (already provided). Post that I feel it should be easy to re-use it as is. In case you're looking to extend the model it would require some knowledge of the YOLOv3 model and debugging the model code (also provided).

@GabruRwt
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GabruRwt commented Mar 28, 2022

@RonLek @Chetanbansiwal @karanbits @radheopti17 @saurabhjaiswal6149
Hey, after understanding the video you put in github repo, i am able to run the first part , but there is a issue the video says its automatically store the bounding box images directly to result_image folder in drive , but when i load the full it only giving me the prediction.img only in my
So, Can you just guide me how to save the bounding box images

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