This illustrates a use of a deep learning model called PoseNet. It defines blocks for obtaining up to 17 locations on one or more people (nose, elbow, knee, etc.). This program tracks the eyes, nose, and wrists and mirrors their movements. If a hand comes close to the face a warning is 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illustrates a use of a deep learning model called PoseNet. It defines blocks for obtaining up to 17 locations on one or more people (nose, elbow, knee, etc.). This program tracks the eyes, nose, and wrists and mirrors their movements. If a hand comes close to the face a warning is issued.

0Reports a costume using the camera.

costumecostumeCreates a costume from the video camera and passes it the 'process costume' blocks.

Open an interface page for different machine learning models.

training using cameratraining using camera training using microphone posenet tensorflow.js

11Reports a list of poses. Use 'pose property' to get the locations of body parts and the confidences that the locations are correct.

de:ist _ leer?

falseReports the value of the 'key' in a table that is a list of pairs of keys and values.

Not sure if both eyes can be seen so just guess how far apart they are.abs11This reports either the confidence that the body part is correctly identified as a number between 0 and 100 or the location of a body part as two numbers. If 'stage coordinates' is true then the location matches the stage coordinates, otherwise it is between 0 and 100.

location confidenceleft right the aeye ear shoulder elbow wrist hip knee ankle nose persontruenoseconfidence there is a noseOnly the nose has no left or right versions.property numberProperty numbers range from 0 to 34 to identify different information in a pose.property numbereyeearshoulderelbowwristhipkneeankle4rightconfidence

truebody partbody part22221Confidence scorex2123y2223widthStage100heightStage100Coordinates adjusted to go from 0 to 100. This reports either the confidence that the body part is correctly identified as a number between 0 and 100 or the location of a body part as two numbers. If 'stage coordinates' is true then the location matches the stage coordinates, otherwise it is between 0 and 100.

confidence it is a person confidence there is a nose location of nose confidence there is a left eye location of left eye confidence there is a right eye location of right eye confidence there is a left ear location of left ear confidence there is a right ear location of right ear confidence there is a left shoulder location of left shoulder confidence there is a right shoulder location of right shoulder confidence there is a left elbow location of left elbow confidence there is a right elbow location of right elbow confidence there is a left wrist location of left wrist confidence there is a right wrist location of right wrist confidence there is a left hip location of left hip confidence there is a right hip location of right hip confidence there is a left knee location of left knee confidence there is a right knee location of right knee confidence there is a left ankle location of left ankle confidence there is a right ankle location of right ankletrue

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KBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECByxcQFpoRMBzwAAAABJRU5ErkJggg==22Adjust y by a guess at the distance from the wrist to the center of the hand. Guessing that that is about the same as the distance between the eyes.620Adjust y by a guess at the distance from the wrist to the center of the hand. Guessing that that is about the same as the distance between the eyes.4

Reports the distance between two pose elements if they are visible. Otherwise a big number is reported.

Compute the distances between each hand and the eyes and nose.50score,0.41870948378859524keypointsscore,0.9965153336524963part,nosepositionx,292.3328250122071y,206.62758821286027score,0.9081824421882629part,leftEyepositionx,296.05073547363287y,179.15576295082613score,0.9963330626487732part,rightEyepositionx,258.9831922912598y,184.8382983000382score,0.020788786932826042part,leftEarpositionx,301.9601599121094y,196.2919739906832score,0.9971555471420288part,rightEarpositionx,192.3322120666504y,203.0620417387589score,0.9944317936897278part,leftShoulderpositionx,320.0440301513672y,289.78418613812937score,0.9943512678146362part,rightShoulderpositionx,113.6531285095215y,300.32600592382204score,0.4866955876350403part,leftElbowpositionx,374.8653500366211y,393.8141608386306score,0.5201048851013184part,rightElbowpositionx,65.85932113647462y,401.1726720584845score,0.06611327081918716part,leftWristpositionx,398.66390594482425y,401.7241592881102score,0.037541475147008896part,rightWristpositionx,125.17468299865723y,416.3063689048245score,0.03940705209970474part,leftHippositionx,297.3761190795899y,399.2561548837223score,0.05251317471265793part,rightHippositionx,134.49543998718264y,398.2217852669473score,0.0025857402943074703part,leftKneepositionx,354.2459029388428y,396.18011095509024score,0.0034552563447505236part,rightKneepositionx,118.47072555541993y,382.5437235387956score,0.0006006364128552377part,leftAnklepositionx,354.46919189453126y,388.4752467848499score,0.0012859117705374956part,rightAnklepositionx,128.0123626327515y,385.7518422381478999999999999999999999100