BlazePose about pinto_model_zoo HOT 9 CLOSED

Also the outputs from 058 (BlazePose Full) and 053 (BlazePose) have outputs as classifiers and regressors but no information is given on how to convert them to the 33x3 key point array as given in the paper. Can anyone guide me on that?

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fyi, i've implemented latest blazepose full (195 values as 39 keypoints with 5 properies) from https://github.com/PINTO0309/PINTO_model_zoo/tree/main/058_BlazePose_Full_Keypoints/10_new_256x256
and blazepose upperbody (155 values as 31 keypoints with 5 properies) from https://github.com/PINTO0309/PINTO_model_zoo/tree/main/053_BlazePose/20_new_256x256

btw, visibility and presence properies are interpreted as reverse sigmoid value

js code is at https://github.com/vladmandic/human/blob/main/src/blazepose/blazepose.ts
and with some try&error, i've created annotations for both variations: https://github.com/vladmandic/human/blob/main/src/blazepose/annotations.ts
(although i'm a bit at a loss what some values in upperbody variation represent)

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”pose_landmark_upper_body_256x256_float32” completely reproduces the standard model provided by Google. I don't know what you are expecting.

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ok, when i use the model ,the output name is very strange, also, my points result can`t show at corret position.Maybe is my fault.

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The output name is read as Identity during the reverse conversion of tflite, but there is no difference in the output value.

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the output name is 'model/tf.reshape/Reshape' ,very strange!

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@Crusoekid Usually tflite and PB produce slightly different names, so in general, don't expect PB and TFLite to have exactly the same names.

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I'm trying to start training the BlazePose Full Keypoints model from scratch, but it doesn't work well. Perhaps there are some Is training data or schema for use, so that I can prepare my own?

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The following repositories are helpful.
https://github.com/terryky/tfjs_webgl_app/tree/master/blazepose_fullbody

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