Object Detection from HLS -- 2

I am looking to have an API(preferably in Java/Python) which consume from a HLS(Http Live Streaming video) and use open-cv to detect an Logo(one positive image of object will be provided) from the stream. Same object can appear in a video multiple times. Every time a object is detected, it should log a message that object is detected with timestamp.

Also, detailed steps of how the training of a positive image is done to generate a model is required in addition to the working code.

I can provide more details like image and HLS later.

Skills: Java, Machine Learning (ML), OpenCV, Python

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Project ID: #19699195

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Dear sir I am a computer vision expert. Please, check [login to view URL] for my projects. I already detected object from live video in hls and webrtc format in opencv, python and tensorflow. I work for a surveilance More

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hi i am experiance data scientist and i have done many projects. i have a lot of samples. what most people do in ML is to fit built in model and give data to them with out deep knowlege of lose fucntion and its optim More

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