#jupyter_notebook#darknet#pytorch#scaled_yolov4#yolor#yolov3#yolov4#yolov7
YOLOv7 is a powerful tool for detecting objects in images and videos. It is fast, accurate, and can work well on devices with limited power, making it useful for real-time applications like self-driving cars and surveillance systems. YOLOv7 uses advanced techniques like Feature Pyramid Networks to detect objects of different sizes and can handle complex scenes with overlapping objects. This makes it beneficial for users who need quick and precise object detection in various environments.
https://github.com/WongKinYiu/yolov7
🔈Most Common Smart Speaker Usage
People are doing plenty of things with voice commands on their #SmartSpeakers, but shopping isn’t really one of them. Only about a quarter to a third of U.S. smart speaker owners have ever purchased something using voice. Very few do so on a regular basis. An Information article this summer said just 2 percent of #Alexa owners had made a purchase via Alexa in 2018.
🚀@PerspectiveIX via Recode.
❓Do you own a Smart Speaker, like Apple HomePod, Google Home, Amazon Echo, etc?
🗣The State of Chinese Voice Assistants
China is the second-largest consumer market in the world, hitting $4.3T in consumer expenditure in 2016 alone (for reference, the US ranked first with $12.5T, and Japan third with $2.7T).
The Chinese smart home market will reach nearly $23B in 2018, according to Juniper Research. #SmartSpeakers and #AI voice assistants are becoming an integral part of that.
Now that smart speakers are becoming commonplace, the early entrant, #Amazon, is losing its market share — and not just to its rival #Google, but to newer players emerging in China.
🚀@PerspectiveIX via CBInsights.
❓ Do you own a smart speaker?