nyris provides a faster and more natural way to find what you’re looking for. With our visual search engine, customers, partners, and employees can search for spare parts easily using a picture, text, or a combination of both. nyris is available as a No-Code Search Suite that can be implemented instantly, or as an API. In addition, our Synthetic Data Pipeline can be used to generate realistic images of your spare parts at a fraction of the cost of real photography. Our technology transforms the customer experience by making it faster, easier to navigate, and vastly more enjoyable.
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Based on our record, YOLO seems to be more popular. It has been mentiond 14 times since March 2021. 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.
OpenCV and "AI" can work well together; see YOLO: https://pjreddie.com/darknet/yolo/. - Source: Hacker News / 5 months ago
Then there is the creator of YOLO. His resume is epic. It's completely My Little Pony themed. Source: over 1 year 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: over 1 year ago
The paper says the source code is available: Https://pjreddie.com/darknet/yolo/. Source: almost 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: about 2 years ago
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