quickdraw-dataset
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Code to process raw dataset to simplified dataset
The simplification process is discussed as follows.
- Align the drawing to the top-left corner, to have minimum values of 0.
- Uniformly scale the drawing, to have a maximum value of 255.
- Resample all strokes with a 1 pixel spacing.
- Simplify all strokes using the Ramer–Douglas–Peucker algorithm with an epsilon value of 2.0.
Where can I find the source code that implements the above steps for simplifying the raw dataset? Thanks.
I’m not sure if this helps (I don’t have the code to do all 4 steps) but I ported RDP over to JS a while back, and this is the RDP implementation used in sketch-rnn-js
https://github.com/tensorflow/magenta-demos/blob/master/sketch-rnn-js/data_tool.js
On Wed, Jun 5, 2019 at 7:30 AM michaelhuang74 [email protected] wrote:
The simplification process is discussed as follows.
- Align the drawing to the top-left corner, to have minimum values of
- Uniformly scale the drawing, to have a maximum value of 255.
- Resample all strokes with a 1 pixel spacing.
- Simplify all strokes using the Ramer–Douglas–Peucker algorithm with an epsilon value of 2.0.
Where can I find the source code that implements the above steps for simplifying the raw dataset? Thanks.
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@hardmaru Thank you very much for sharing your implementation of RDP algorithm.
@michaelhuang74 Hello, have you got the source code that implements the four preprocessing steps? Thanks.
@PengBoXiangShang No, I didn't. It was almost one year ago. I had moved to other things. Sorry.
@michaelhuang74 Thanks for your reply.
@HalfdanJ Hello dear Jonas, could you please release the code to covert the raw data to simplified data? Thank you very much.