计算机视频和深度学习怎样将改变你的生活(翻译)速成17课之11

免费17天计算机视频，速成课，OpenCV与深度学习（11/17）

主题：How will Computer Vision and Deep Learning change your life? [Day 11 of 17]

计算机视频和深度学习怎样将改变你的生活

Adrian at PyImageSearch <adrian@pyimagesearch.com>

To  fan_xt@yahoo.com

 

Aug 6 at 11:00 AM

还记得你自己第一次对某事件编写代码吗？   当你打印出那些行指令，看到你的输出时，你还记得肾上线素冲过你身体时的那种兴奋感觉吗？   或是你还记得，当你意识到，你可以用你的计算机做许多事时你所产生的那种力量感吗？   你还能记起在你打开vim 或 emacs编辑器，开始写出一个新程序的第一行时那种冲动吗？   那时，你考虑过有关你在生活中要做什么的问题吗？你梦想过坐在办公室，对数以千行的代码进行 调试吗？   或者你梦想比这更多，是吗？   什么让你进入编码世界？为什么你被吸引住？   今天的课程有些不同，代替往常像那样教你一项特殊计算机视频技术，我要做一些“变化”，并讨论 某些更为重要的议题 – “为什么”驱使你学习计算机视频和深度学习。   如果你想要在某些方面取得成功 – 不管任何方面 – 你必须了解是什么在激励你。如果清晨推动 你起床的唯一事情是，“我需要薪水”，那么对你来说真的做什么并不重要。   在下雨的日子里，或是你疲倦了，或是海滩上波浪的完美被击破，或者就是在“y”中结束 的一天，你将很难强迫你自己坐在办公桌前。   另方面，如果你知道什么在驱动你，什么在推动你，什么是你真正想要做的事 – 嗯，那时， 你一定能保持清醒。甚至在你遭遇阻力 – 问题很难解决，合作伙伴打扰你，截止期限也 会强迫你工作很晚…   ...如果你知道你为什么要做这项工作，继续做下去就相当容易。   对我来说，早在高中/大学前期，计算机视频 – 面孔检测，图象识别，机器学习 – 令我着迷， 但是我不懂得“为什么”，从而不能保证我会一直学下去。   直到我坐在大学计算机视频课堂，教授让我们倾倒我们口袋中的零钱。   并不多 – 我们是大学学生，终究 – 我们从口袋拿出分币，十分硬币，四分之一币，扔 在桌上，并用手机拍下照照片。   就几分钟后，教授教我们怎样写一个Python文本（当然用到OpenCV ）去施加模糊，边棱检测 以及轮廓提取，使我们不仅计算出图象中钱币数量，而且确定了钱币值。   不仅是对钱币计数，我能告诉你每种币是什么。   当时我还不知道，但是我已经找到了我的“为什么”：我喜欢利用计算机视频（最终是深度学习） 去解决现实生活中的问题。     在本速成课的最后阶段，我们将探讨一些真实先进的算法，并看看这些技术怎样让你得到改变 世界性的结果。   这个东西让我兴奋 – 我希望它也让你兴奋。如果你愿意投身此项工作，计算机视频和深度 学习能够改变你的职业轨跡 – 以至你的全部生活。   Just ask David Austin, who:   问问David Austin，他： 他开始在PyImageSearch Gurus course中学习，从而使用了这项一技术。 连同学习了Deep Learning for Computer Vision with Python 书。 让他获取第一名 – 以及$25,000奖金 – 在Kaggle’s最著名的图象分类竞赛中！   什么是你在计算机视频和深度学习方面的梦想？你的想法怎样改变了你的生活 – 你又怎样改变了世界？   我很想知道是什么激励你不停的学习，请击回答标记让我知道！我将回答每个简单的回答， 了解你的要求能帮助我创建最好的内容和教程，让你学到你想要知道的知识。 Adrian Rosebrock Chief PyImageSearcher   附言：请不要忘记告诉我关于计算机视频和深度学习最让你兴奋的是什么！   附：原文 How will computer Vision and deep Learning change your live[Day 11of 17] Adrian at PyImageSearch< adrian@pyimagesearch.com>  Aug 6 at 11:00 AM To  fan_xt@yahoo.com Do you remember the first time you coded something of your own? Do you remember feeling the adrenaline rush through your body, as you typed those lines and saw the output? Or that sense of power you felt when  you realized that you could make your computer do just about anything?  Can you still recall that rush when you first opened up vim or emacs and started writing  that first line of a new program? Back then, what were you thinking about doing with your life? Did you dream of sitting in an office,debugging thousands of lines of code? Or did you dream a little bigger than that? What got your started in the coding world? Whywere you drawn to it? Today’s lesson is going to be a bit different. Instead of teaching you a particular computer vision technique like I normally do, I’m instead going to  go a bit “meta” and discuss something arguably far more important — the  “why” that is driving you to study computer vision and deep learning. If you want to be truly successful at something — anything, really — you  have to understand what’s motivating you. If the only thing pushing you to  get out of bed in the morning is, “I need a paycheck”, then it really doesn’t  matter what you do.  And on days when it’s raining, or you’re tired, or the waves are breaking  perfectly at the beach, or it’s just a day that ends in “y,” you’ll have a hard time forcing yourself to your desk.  On the other hand, if you know what’s driving you, what’s pushing you, what you really want to do — well, then, it’s pretty easy to keep showing up. Even when you encounter obstacles — problems that are hard to solve, co- workers who annoy you, deadlines that force you to stay late...  ...if you know why you’re doing the work, it’s a lot easier to keep doing it.  For me, back in late high school/early college, the concepts in computer vision —  face detection, image recognition, machine learning — fascinated me, but I I didn't have that "why" to help ensure I kept studying it. Until the day I sat in a computer vision course in college, and the professor had us dump out the change in our pockets. There wasn’t much — we were college students, after all — but I took the  nickels, dimes, and quarters out of my pocket, dumped them on a table, and  took a photo of it using my phone. And just a few minutes later, the professor taught us how to write a Python script (using OpenCV, of course) to apply blurring, edge detection, and contour extraction, to not only count the number of coins in the image, but  determine their monetary value as well! Not only was I counting coins, I could tell you what each coin was! I didn’t know it at that moment, but I’d found my WHY: I love using computer vision (and eventually deep learning) to solve real-world problems.  In the final phase of this crash course, we’ll be delving into some truly advanced algorithms and seeing how those techniques can help form world- changing solutions. This stuff excites me — and I hope that it excites you, too. If you’re willing to  put in the work, computer vision and deep learning can change your career  trajectory — and your entire life.  Just ask David Austin, who: Used the techniques he started learning in thePyImageSearch Gurus course Along with the Deep Learning for Computer Vision with Python book ...to help him secure first place — and $25,000 — in Kaggle’s most popular image classification competition of all time! What are you dreaming about doing with computer vision and deep learning? How will your ideas change your life — and how will you change  the world? I really want to know what’s motivating you in your journey, so please hit reply and let me know! I read every single reply, and knowing your goals  helps me create the best possible content and tutorials to help you learn what you need to know.  Adrian Rosebrock Chief PyImageSearcher P.S. Don’t forget to tell me what excites you most about computer vision and deep learning!   To make sure you keep getting these emails, please add adrian@pyimagesearch.com to your address book or whitelist us. Want out of the loop?Unsubscribe. Our postal address: PO Box 17598 #17900, Baltimore, MD 21297-1598