(WIP) I trained Yolov5 on Diablo

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  • yolov5

    YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

  • I was bored this Sunday, so I annotated and trained a Yolov5 model. The visible boxes are from live screenshots and not an overlay to the real client. I used PySimpleGUI to show the results of the inference in real-time.

  • VoTT

    Discontinued Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos.

  • I annotated 100 images which 70% was used for the training. I used 7 classes and annotated with VoTT then converted to Pytorch yolov5 from roboflow. I don't remember the mAp, sorry.

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    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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