Library to easily test YOLOv3 models
Project description
Easy_Yolo - One liner Yolov3 object detection
Running on YOLO model on an image. Place .cfg, .weights and .names in same directory
Sample: from easy_yolo.yolo_img import YoloImg x = YoloImg('example.jpg', 'example.weights', 'example.cfg',example.names) x.run_model()
Running on YOLO model on a video. Place .cfg, .weights and .names in same directory
Sample: from easy_yolo.yolo_vid import Yolov3Video x = Yolov3Video('example.mp4', 'example.weights', 'example.cfg',example.names) x.run_model()
Running on YOLO model on a webcam. Place .cfg, .weights and .names in same directory
Sample: from easy_yolo.yolo_cam import Yolov3Camera For webcam: x = Yolov3Camera(0, 'example.weights', 'example.cfg',example.names) x.run_model()
For Youtube Livestream: x = Yolov3Camera('youtube_url', 'example.weights', 'example.cfg',example.names) x.run_model()
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