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Hands up: скачать и принять участие в увлекательном челлендже


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"Hands Up" is a "funked-up dance track" that sees Joe Jonas singing about "ditching a frustrating relationship" by ghosting the other person in that relationship who caused it to get worse, which causes him to be happy after escaping it and continue living life, especially in the song's chorus: "I throw my hands up / I've already made my mind up / Never get down on my luck / Never get on with my-y-y-y-y-y-y-y / Hands up / I've already made my mind up / Sorry I messed your life up / I'ma get on with mine-ine-ine-ine-ine-ine-ine-ine". A first listen was available on People the day before the release of the song, on 5 April 2018. Merk & Kremont brought out DNCE to perform the song in Milan, Italy, on the day of its release.[1] DNCE announced the song alongside its cover art and release date on 28 March 2018.[2] The official music video for "Hands Up", directed by Andrea Gallo, was released on 10 August 2018. While the people and settings are real, it also includes animations and drawings on real objects.[3]


The MediaPipe Hand Landmarker task lets you detect the landmarks of the hands in an image.You can use this Task to localize key points of the hands and render visualeffects over the hands. This task operates on image data with a machine learning(ML) model as static data or a continuous stream and outputs hand landmarks inimage coordinates, hand landmarks in world coordinates and handedness(left/righthand) of multiple detected hands.


The hand landmarker model bundle contains a palm detection model anda hand landmarks detection model. The Palm detection model locates hands withinthe input image, and the hand landmarks detection model identifies specific handlandmarks on the cropped hand image defined by the palm detection model.


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Since running the palm detection model is time consuming, when in video or livestream running mode, Hand Landmarker uses the bounding box defined by the handlandmarks model in one frame to localize the region of hands for subsequentframes. Hand Landmarker only re-triggers the palm detection model if the handlandmarks model no longer identifies the presence of hands or fails to track thehands within the frame. This reduces the number of times Hand Landmarker tiggersthe palm detection model.


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