Best Description section for a video on KZbin. Great work and funny to do.
@imadlakehal21034 жыл бұрын
So Sick! Thanks for this awesome presentation .. well documented in a clear way, I ll give 10/10 💪
@atomic144 жыл бұрын
Much appreciated!
@imadlakehal21034 жыл бұрын
@@atomic14 comparing to what is shown on the video at *7:52* there are many elements missing in the repo like image_to_font_map.txt
@atomic144 жыл бұрын
@@imadlakehal2103 I'll take a look.
@atomic144 жыл бұрын
The files should be in the "tensorflow" subdirectory. image_to_font_map.txt is there though actually, it shouldn't have been committed as it is generated by the code in "generate_training_data.ipynb". Before running the code in that notebook you will need to expand the zip files in the "fonts" folder. I've updated the README to add some more instructions. Let me know if you have any problems.
@imadlakehal21034 жыл бұрын
@@atomic14 What about the folder *lib/* is it also generated after a script execution? I suppose that *log/* will be generated after running tests. In addition the folder *all_data/* is supposed to be filled directly with pictures, whatever the structure inside?
@TheRealKitWalker3 жыл бұрын
That demo at the beginning was soo sooo impressive 😍👏👏🍫🍫🍫
@enudemejonathan40573 жыл бұрын
Chai(a wow expression in pidgin English) ! This is so smart. I'm def doing this.
@evgeniiaveselova100 Жыл бұрын
Thank you very much - this project can literally be an AR beginner tutorial
@FF78243 жыл бұрын
Fantastic explanation and design!
@atomic143 жыл бұрын
Thanks you!
@valdezm_com3 жыл бұрын
You are awesome and this is inspiring! Thanks! Time to start learning. -computer scientist with no AI background
@atomic143 жыл бұрын
There are some great examples out there - and a lot of good training resources. It's great fun!
@somnathpaul20203 жыл бұрын
I found 3 dislikes!! What did they expect not sure... good to know!!... Anyway, I just subscribed and would expect to learn a lot from you in the future...Thank you so much, sir!!
@atomic143 жыл бұрын
Thanks for the sub!
@Ogottm4 жыл бұрын
Really cool and impressive! Thank you for the video!
@NAVAP_IAS3 жыл бұрын
Really awesome. Thank you🤝🤝🤝
@atomic143 жыл бұрын
Thanks!
@123aniruddhsiddh4 жыл бұрын
Looks amazing
@meassinal2 жыл бұрын
Already hit subscribe :) Really awesome for the tactics and I can't wait to give it a try.
@justins49962 жыл бұрын
Fantastic video. Keep making these
@JasonMayes3 жыл бұрын
Hey there! This is Jason from the TensorFlow.js team here at Google - would love to talk to you about this for an upcoming show and tell session if you would be interested in showing your work to the TFJS community?
@atomic143 жыл бұрын
Sure, that sounds great - you can contact me via the channel page or chris _at_ cmgresearch _dot_ com
@JasonMayes3 жыл бұрын
@@atomic14 Perfect will drop you an email sometime!
@brycem.345010 ай бұрын
Could this be applied to Brilliant Labs Monocle?
@raguaviva4 жыл бұрын
thanks!
@atomic144 жыл бұрын
No problem!
@user-jr4if2rm4d2 жыл бұрын
Request code that can be run on jupytor notebook
@djtomoy Жыл бұрын
Make one that can do the crossword
@ysimonx3 жыл бұрын
thank you for sharing this awesome video !! (my comment will be flagged as "positive" by TF)
@paullouppe99474 жыл бұрын
But . This is just awesome !! I want to do one myself for suguru!
@atomic144 жыл бұрын
Definitely possible - you'll need to change the code to handle the number of boxes in the Suguru puzzle and update the solver.
@mohd.parvez27193 жыл бұрын
Awesome presentation. I am also working on sudoku solver android app but my model accuracy isn't so good. Will you please share your dataset which you used for training your model and give me some suggestion how to perform image processing task. Thank you.🙂🙂
@atomic143 жыл бұрын
Hi there, you can find the fully trained model in the GitHub repo and the training data can be generated using the python notebooks. Feel free to re-use the code as you need. If you get stuck then please raise an issue on the repo and I'll see if I can help.
@Shakespeare16123 жыл бұрын
Great, great stuff! But, this is just a silly game. What if we applied this to solving Maths worksheets? = Homework DONE! What if we could get it to balance chemical formulas? = material science BOOSTED! Or... if you want to stick with games, my mother always loved word search puzzles. This could, with modification, be used to super-impose the capsules onto a word search puzzle, also solve cross word puzzles. Could it be taught to recognize positions on a chess board? Yes, I think it could.
@atomic143 жыл бұрын
There's definitely a chess cheat program in their somewhere :) I do sometimes wonder what the future offers us. Augmented glasses/contact lenses will change us in a very fundamental way. From there it's a very small step to implants before you know it - we'll all be borgs...
@fernandobravo6502 жыл бұрын
Big deal
@Khujandiho3 жыл бұрын
:); ridiculous.
@ChadFaragher3 жыл бұрын
Forgive me for teasing you, but it's funny that you can do all this technical wizardry yet you keep mispronouncing sudoku as "suduko".
@atomic143 жыл бұрын
Haha, not problem, I can never remember how it's supposed to be pronounced :)