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vision🍌 is here if you got into computer vision the way I did, starting with pixel-level labeling tasks like segmentation, edges, depth, or surface normals, you’ll probably feel the same seeing these results -- something big has quietly shifted, and it’s going to change how we approach these problems...

66,875 просмотров • 3 месяцев назад •via X (Twitter)

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Are you safer with LIDAR, or are you safer with vision? This is a false dichotomy. The more pertinent question today is "do you have something, or do you have nothing?" As you can see from the clips below, vision based systems avoid countless potential collisions every day. The difference between a crash and no crash isn't what sensor suite you chose — it's whether you have any AI on your car at all. Even if we concede that LIDAR may help prevent some additional crashes, we are really debating whether it is 1% of crashes or 0.00001% of crashes. Not all crashes are super complex and require lasers to detect. Most are simple, routine, and can easily be prevented by today's vision based AI. In fact, evidence is mounting that computer vision based systems can actually outperform more traditional approaches to self-driving. Why? Because the low cost of cameras enables you to create a much larger, more varied, and more diverse dataset. If you want to have expensive custom cars that's fine, but you're going to get fewer vehicles for the same budget. Seeing what's in front of you now is actually less important than predicting what's going to happen next — and the large scale datasets used to train pure vision systems are the best for predicting what's next. Counter-intuitively, the simpler and lower cost sensor actually has properties that make it better suited for training advanced AI. Computer vision based self-driving is often framed by LIDAR proponents as "cheaping out" on the sensor suite to save money. But it's not about being cheap, it's about bringing the technology to everyone. 1.2 million people die on the road every year around the world. That's around 39 million people who've died on the roads around the world since I was born — equivalent to a city the size of Tokyo or New Delhi getting wiped off the map. The status quo is simply unacceptable, and something has to be done to fix it as soon as possible. Of the 1.2 million people that will die on the roads this year, about 40,000 will be Americans. That's about 3%. So if we moved entirely to self-driving cars in America and brought crashes down to 0, 97% of the world's crash fatalities would still be taking place as usual. Deploying a $200,000+ retrofitted self-driving car may work in a few American cities, but it is not going to make sense in most places around the world where fares are much cheaper. Most often, the choice is not between LIDAR and vision. It's between vision or nothing. The best system is the system that's there running on my car when I need it to save my life. To say that all self-driving cars must have LIDAR is to sentence most of the world to death. We can't write off computer vision if we want to make a serious dent in this problem. It's going to be a key piece of the solution. Let LIDAR based players build the best self-driving car they can, and let vision based players do the same. We need to be trying everything

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If anyone tells you that you need to cut out carbs to lose weight… Run and never listen to anything that person says again ⁠⁠ I’ve gotten to single digit body fat numerous times while eating 2-4 slices of sourdough bread and 1-2 bagels every day every prep Here’s how I do it and how my clients do it too:⁠ ⁠ -We either track macros or build a meal plan around their lifestyle and schedule⁠ ⁠ -We build meals around foods we enjoy⁠ If I make you eat fish and broccoli, and you fucking hate fish and broccoli…I’m setting you up for failure right off the get go. Would never make any client eat something they despise when there are so many good, clean foods out there to eat to get us the results we’re after ⁠ -We stay in a slight calorie deficit without starving ourselves⁠ -IF our schedule allows it, we always try to move more or increase cardio before dropping food to keep food as high as possible for as long as possible More food = more fuel = better training sessions = helps preserve and or build muscle = better metabolism long term ⁠ - We train hard, lift heavy as fuck, and stay consistent because we’re not burned out or miserable with our food⁠ ⁠ Bread or carbs didn’t make you fat and DOES NOT make you fat ⁠ Being inconsistent and over eating is what did ⁠ If you keep jumping from diet to diet, cutting more and more food to “get results”…⁠ ⁠ You’ll never stay lean ⁠ Because you’ll never stick with it long enough for it to work because you’ll feel like death from not eating enough ⁠ But when you learn how to lose fat the right way with structure, flexibility, and a plan that fits your life…⁠ ⁠ You stop starting over and hating the process while getting lean eating the foods you actually enjoy eating On top of looking AND feeling better There’s a right way and there’s a wrong way If you wanna see how it’s done the right way, shoot me a message and I’ll show you how my team can help you as well

Bailey Schober | Men’s Fitness & Nutrition Coach

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