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You can teach your Raspberry Pi to "see" — using Computer Vision, Deep Learning, and OpenCV. I'll show you how, inside this book.
You can teach your Raspberry Pi to "see" — using Computer Vision, Deep Learning, and OpenCV. I'll show you how, inside this book.
1,309 backers pledged $370,303 to help bring this project to life.
Mike Dennis, Dan Gilkes, and 58 more people like this update.

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    1. Adrian Rosebrock 3-time creator on

      @Kaushal: Thank you so much! Your comment really means a lot to me :-) Thank you for supporting the book :-)

      @Jarosław: Thank you, Jarosław. It's always a pleasure to see your name in my inbox or community forums. I really enjoy interacting with you and helping you on your CV/DL journey.

    2. Jarosław Gilewski on

      Hi Adrian,
      I just want to thank you. It's hard to express it through the comment but I owe you a lot. PyImageSearch and your work is my greatest discovery and the biggest motivation to follow DL/CV path.
      I was waiting for your newest book for a long time so just take my money. I'm happy that I can support your amazing work.

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      Kaushal Kiran on

      Hi Adrian, I really enjoy ur posts about OpenCV and Raspberry Pi . The effort u put to articulate your knowledge in simple and understandable ways is amazing . Looking forward for this book to improve myself in this field especially the use of Movidius and Coral devices , which i am new to...

    4. Adrian Rosebrock 3-time creator on

      @Daniel: Thank you, I really appreciate it!

      @Mehul: I'n so happy I've been able to save your time! It's truthfully my pleasure to create these books. Thank you for supporting the project.

      @Mark: Thanks Mark. Due to some personal reasons, primarily a close family member being diagnosed with cancer, I chose not to do PyImageConf in 2019 and instead focus on the RPi for CV. Hopefully next year!

      @Aparna: Thanks, I'm glad you were enjoying the posts! The RPi for CV book will be even better than the free tutorials as well :-)

      @Daniel: Thanks so much!

      @Martial: Yep! There will definitely be one ;-) I'll be sharing more details on that soon.

      @Adrian: Thank you, I appreciate it!

      @Dexter: Thank you!

    5. Daniel Krotov on

      I couldn't be happier for you Adrian and I can't wait to see the content. Congrats!!!

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      Mehul Gandhi on

      @Adrian - Thank you for creating such high quality content. Personally you've saved me a ton of time and effort with your code samples, attention to detail on project dependencies and just at the right level of depth explanations. I look forward to receiving the book.

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      Mark Conway on

      Very happy for you and excited to get my hands on the book. Also, hopefully looking forward to the next conference. The first one was stellar.
      Cheers.

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      Aparna on

      Dear Adrian, I have been reading all your free course work. I am an electrical engineer moving into computer vision and deep learning! Great tutorials ! cant wait to get my rewards with Raspberry PI (:

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      Daniel Tromp on

      Awesome and well deserved!

    10. Martial M.
      Superbacker
      on

      Cool :) Now we need a Jetson Nano section :)

    11. Adrian Perez on

      Dear Adrian, I have been working on vision computer for 15 years now and it is a pleasure to read your publications in South America. It is not common to work in this particular area. A big greeting from Argentina, I wish you the best
      Adrian Perez

    12. Dexter Industries on

      Really amazing work! So pumped to see this so successful!