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Videos #1

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waddahAldrobi opened this issue Mar 2, 2019 · 5 comments
Open

Videos #1

waddahAldrobi opened this issue Mar 2, 2019 · 5 comments

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@waddahAldrobi
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Can you provide the video you used?

@geaxgx
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geaxgx commented Mar 10, 2019

Do you mean the videos of the cards (one video par card) used to generate the data ?
It would only be helpful if you want to recognize cards from the same brand as the one I have used (unfortunately, it is not a famous brand like Bicycle). Otherwise, you won't get the same accuracy as demonstrated in the video. I suggest you to shoot new videos with the cards you used.

If you just want to test the scripts of the notebook, you can use the video file 'test/2c.avi'

@waddahAldrobi
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waddahAldrobi commented Mar 11, 2019 via email

@geaxgx
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geaxgx commented Mar 20, 2019

Sorry, I currently don't have access to the videos you are asking for (they are on a separate drive in another location). But if you try to collect as many card types as possible, I would suggest to adapt the scripts in the notebook to deal with a picture of a card instead of a video of that card. It is much simpler. It just mean that you only take one picture of each card and rely on the data augmentation library to generate variations of that card. When I started this project, I wasn't aware that I could use the capabilities of the data augmentation library to simulate different lighting conditions, instead of a real external light.
What is hard coded is the dimensions of the card, not the location (see § C.1 in the notebook). So you have to modify these values when you work on a new card type. If you decide to take a picture of the cards, as I suggest, you want the best lighting condition, and sharp and neat pictures. The data augmentation library will artficially add noise and blurring.

@waddahAldrobi
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Ahh okay, sorry one last question.
Are the dimensions of the cards based on the actual size (i.e. using a ruler)
Or did you label them?

@geaxgx
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geaxgx commented Mar 22, 2019

Yes, I used a ruler to get the actual size.

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