Based on our record, YOLO seems to be a lot more popular than Cucumber. While we know about 14 links to YOLO, we've tracked only 1 mention of Cucumber. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Ruby/Rails enjoy some really nice and powerful Behavior Driven Design/Development testing frameworks like Cucumber and RSpec. Source: about 2 years ago
OpenCV and "AI" can work well together; see YOLO: https://pjreddie.com/darknet/yolo/. - Source: Hacker News / 7 months ago
Then there is the creator of YOLO. His resume is epic. It's completely My Little Pony themed. Source: almost 2 years ago
For the API, I've used python and django. For image processing and detecting persons in image, I used yolov3. If any person exceeded limit that user gave, the API sends notification to user via telegram. Source: almost 2 years ago
The paper says the source code is available: Https://pjreddie.com/darknet/yolo/. Source: about 2 years ago
If you are trying to identify objects in an image (like 'cat', 'person', etc), then you might look at YOLO. There are lots of github projects using it to explore, too. Source: over 2 years ago
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