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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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Release files for easy-yolo 0.0.2

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Source distribution for easy-yolo 0.0.2
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easy_yolo-0.0.2-py3-none-any.whl Python 3 none any Details

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