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
If you have a spare raspberry 4 and a camera, just install python and goto https://pjreddie.com/darknet/yolo/ for find out how to implement object recognition. Source: over 2 years ago
The pose estimator sounds cool. There are definitely object detection libraries that can track limbs & joints. Check here: https://github.com/SravB/Computer-Vision-Weightlifting-Coach Also check out this OS library that most commercial companies copy and change the colors: https://pjreddie.com/darknet/yolo/. Source: over 2 years ago
YOLO (you only look once) now sounds creepier after seeing this. Source: almost 3 years ago
This is indeed a very advanced task, and you could try to recreate the popular YOLO object detection model from scratch, but I recommend to just use a pertained model. - Source: dev.to / almost 3 years ago
Yeah it's easy to get confused when reading papers. Check here: https://pjreddie.com/darknet/yolo/. Its pretty clear that all you need to get the tiny model are different weights and a config file. Source: almost 3 years ago
The most interesting thing to me is the photo. The bounding boxes around his face and the gun are typical of cutting edge object detection algorithms like YOLO (not joking). I'm wondering if this photo came from the FBI, TBI, or other law enforcement agency. Source: about 3 years ago
For our last event of ArchE Week, the Ohio State Underwater Robotics Team (Website, Instagram) is hosting a workshop tonight on machine learning! The workshop is an interactive walkthrough of using machine learning solutions to make predictions. Some example problems we could be trying to solve are predicting a grade, predicting the weather, and the classic recognize a digit problem. Our team personally uses... Source: about 3 years ago
b. We had a look at some of the pre-trained models out there, like YOLOv3 which looks super cool. YOLOv3 tiny weights, which would have been perfect for the Pi, but we couldn’t get it running :(. - Source: dev.to / about 3 years ago
DeepSORT is one of the best trackers https://github.com/nwojke/deep_sortIt requires an object detector tho, like YOLO https://pjreddie.com/darknet/yolo/. Source: about 3 years ago
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