Open palladan opened 6 years ago
Hi,
I am also looking for same installation help. Can anybody who ever has sucessfully installed this kindly help.
Thanks -- Daya
Me too , need some info on how to install
Hi guys, did you manage to install this software?
If not, we have just released tagily.io, a cloud-based service for automatic bib number recognition in sport events. No installation required here.
It's super easy to use and you'll have the results in a few minutes after you start uploading the pictures. We also provide a convenient upload tool. Depending on your internet connection speed, we can process up to 10.000 images per hour.
You can use it on all types of bibs, no additional code placement is required (e.g. QR or Aruco code), because we read the number directly. We don't even have camera requirements: as long as the bib number is good enough for a human to read it, our artificial intelligence system can also read it.
As of today, our biggest event has been the Marcialonga 2018, where 100.000 images were processed in one night. Yet the software smoothly works for marathons and bike races as well. You can learn more about it here: http://www.deepvisionconsulting.com/automatic-bib-recognition-kick-off-at-marcialonga-2018 or just go to the website to ask for a free trial: https://tagily.io.
Let me know if you have any further question!
@francescosolera this sounds great thanks for sharing!
Fantastic to see this implementation go live. Thanks for sharing. I am excited and eagerly waiting to use the trial .
It would be helpful if you can share more details about pricing , how to use and further...
Dayanand Sagar S
On Tue, Jul 3, 2018 at 7:26 PM, Francesco Solera notifications@github.com wrote:
Hi guys, did you manage to install this software?
If not, we have just released tagily.io, a cloud-based service for automatic bib number recognition in sport events. No installation required here.
It's super easy to use and you'll have the results in a few minutes after you start uploading the pictures. We also provide a convenient upload tool. Depending on your internet connection speed, we can process up to 10.000 images per hour.
You can use it on all types of bibs, no additional code placement is required (e.g. QR or Aruco code), because we read the number directly. We don't even have camera requirements: as long as the bib number is good enough for a human to read it, our artificial intelligence system can also read it.
As of today, our biggest event has been the Marcialonga 2018, where 100.000 images were processed in one night. Yet the software smoothly works for marathons and bike races as well. You can learn more about it here: http://www.deepvisionconsulting.com/automatic-bib-recognition- kick-off-at-marcialonga-2018 or just go to the website to ask for a free trial: https://tagily.io.
Let me know if you have any further question!
— You are receiving this because you commented. Reply to this email directly, view it on GitHub https://github.com/gheinrich/bibnumber/issues/11#issuecomment-402166408, or mute the thread https://github.com/notifications/unsubscribe-auth/Aer4dctSmSdkTPtIuNS3X81h_J2lJxB1ks5uC3gWgaJpZM4RNC3s .
@gheinrich How and where to install the external libraries you have mentioned, can you help please
Dears,
is possible to ask you for a help with the installation? Tried everything, but can not run the app.
Thank you for your help.
Daniel