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Image to ASCII

  • 7 Devlogs
  • 12 Total hours

A Convolutional Neural Network (CNN) designed to take a image chunk and output ASCII

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3h 26m 45s logged

Sorry for the delay! Had quite a few issues along the way! Getting the model running in the browser was quite a issue but I ended up making it work with the web run time for onnx! The model is still quite slow but its fast enough for the time being.

I will add some fun conversion tools soon but for now go ahead and try out the site here

PS: Added basic full color support!

Sorry for the delay! Had quite a few issues along the way! Getting the model running in the browser was quite a issue but I ended up making it work with the web run time for onnx! The model is still quite slow but its fast enough for the time being.

I will add some fun conversion tools soon but for now go ahead and try out the site here

PS: Added basic full color support!

Replying to @eli

0
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1h 13m 22s logged

Updated the repo with better folder structure for future expansion. Currently the model itself is finished and does not need improvement.

Now I am building a nice front end so you can convert images and videos to ASCII, test a live web cam demo, and download the desktop app.

Speaking of the desktop app (Name idea: GhostChar) it will be a camera filter that converts you live into ASCII to protect your identity while still showing enough to get things done. The app will be a GUI built with Rust running the ONNX model for FPS.

PS: I am adding color themes to the app!

Updated the repo with better folder structure for future expansion. Currently the model itself is finished and does not need improvement.

Now I am building a nice front end so you can convert images and videos to ASCII, test a live web cam demo, and download the desktop app.

Speaking of the desktop app (Name idea: GhostChar) it will be a camera filter that converts you live into ASCII to protect your identity while still showing enough to get things done. The app will be a GUI built with Rust running the ONNX model for FPS.

PS: I am adding color themes to the app!

Replying to @eli

0
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2h 45m 22s logged

I worked a LOT today! Ran into a few issues with not committing my models so I lost good ones :( But I eventually thought to do a second round of training on real images not just synthetic data and that made the model a LOT better. Still room for improvement like full color, more data, longer training, etc. But the model is getting really good and I will build a web UI soon!

I worked a LOT today! Ran into a few issues with not committing my models so I lost good ones :( But I eventually thought to do a second round of training on real images not just synthetic data and that made the model a LOT better. Still room for improvement like full color, more data, longer training, etc. But the model is getting really good and I will build a web UI soon!

Replying to @eli

4
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1h 56m 37s logged

So I started working on the actual program behind this, its a CNN vision model designed to take real time camera feed and turn it into ASCII art! Its soo cool!

So I started working on the actual program behind this, its a CNN vision model designed to take real time camera feed and turn it into ASCII art! Its soo cool!

Replying to @eli

1
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2h 6m 47s logged

Spent quite some time learning more about AI! Finally graduated from sklearn into full TensorFlow which has been really fun! I have built a few small neural networks and those are awesome!

Spent quite some time learning more about AI! Finally graduated from sklearn into full TensorFlow which has been really fun! I have built a few small neural networks and those are awesome!

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27m 19s logged

Finished Unit 1! I learned about splitting your data so you can grade/test the model later, and advanced testing methods like using a matrix to see where the model might have messed up!

Finished Unit 1! I learned about splitting your data so you can grade/test the model later, and advanced testing methods like using a matrix to see where the model might have messed up!

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18m 25s logged

Completed my first lesson on ML! I learned about LogisticRegression models and the amazing library called: sklearn!

Completed my first lesson on ML! I learned about LogisticRegression models and the amazing library called: sklearn!

Replying to @eli

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