Kukil
Find out what is EXIF and how EXIF data can be used in various applications. Using EXIF to visualize potholes of a city on google maps.
CenterNet: Object as Points is one of the milestones in the anchor-free (anchorless) object detection algorithm. Anchor-free object detection is more generalizable in other computer vision tasks, e.g., pose estimation,
YOLOv7 Pose is a real time, multi-person, keypoint detection model capable of giving highly accurate pose estimation results.
YOLOX object detector is a recent addition in the YOLO family. Read the article for detailed YOLOX paper explanation and learn how to train YOLOX on a custom dataset.
Mean Average Precision (mAP) is a performance metric used for evaluating machine learning models. We have covered mAP evaluation in detail to clear all your confusions regarding model evaluation metrics.
A technical review of YOLOv7 paper along with inference report. YOLOv7 Pose detection code included.
Intersection Over Union (IoU) quantifies degree of overlap between two boxes. In Deep Learning, it is a model evaulation helper metric.
Object detection using YOLOv5 and OpenCV DNN. Learn how to YOLOv5 Ultralytics Github repository. From plethora of YOLO versions, which one is most appropriate for you? Continue reading the article
Recently, we had a lot of fun playing with Body Posture Detection using MediaPipe POSE. We built a poor posture alert application using OpenCV and MediaPipe. Continue reading the article
Ever wondered what runs behind “OK Google?” Well, that’s MediaPipe. If you have just started with MediaPipe and this is one of the first articles you are going through, congratulations,
Learn OpenCV feature matching algorithms by building a fun chrome dino game player bot. All using OpenCV!
Gone are the days when setting up the proper hardware and software for a stereo vision project was arduous. Thanks to OpenCV and Luxonis, you no longer have to worry
