RNN-for-Human-Activity-Recognition-using-2D-Pose-Input
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stuarteiffert
Activity Recognition from 2D pose using an LSTM RNN
Hi~ I'm faced with problem in extract_batch_size. _unsampled is range!! but 'range' object has no attribute 'remove' how do I fix it?
`import NumPy as np import matplotlib import matplotlib.pyplot as plt import TensorFlow as tf from sklearn import metrics import random from random import randint import time import os LABELS =...
I imported this project to TF 2.0 and normalized X_train and X_test data before saving my model. Then i tried to do predictions on normalized X_val file. But i get...
I am trying to use a different dataset where each frame is labeled as opposed to each frame series, How did you label each frame series? Was it given in...
Love this implementation! However, for inference on custom dataset, is the inference this LSTM model dependent on the position of the coordinate? Or is it dependent on how the previous...
@stuarteiffert thanks for the awesome work. I was wondering have you ever do some further work on Activity Recognition based on 2D pose keypoints as you mentioned in the Further...
hello,stuarteiffert, very luck to find the project you did,since i have similiar idea with you. I wonder that if there exists multi people in a video sequence, how can we...
**Error :** InvalidArgumentError Traceback (most recent call last) in 50 sequence_start=(sequence_start+1)%32 51 ---> 52 result_prob=model.predict(sequence_arr,None) 53 y_class= result_prob.argmax(axis=-1) 54 label=LABELS[y_class[0]] InvalidArgumentError: Input to reshape is a tensor with 2048 values,...
First of all, thank you for creating this wonderful repository. I'm the one who [ported PoseNet](https://medium.com/tensorflow/real-time-human-pose-estimation-in-the-browser-with-tensorflow-js-7dd0bc881cd5) into tensorflow.js and would love to feed the output of that into this rnn...
I am want to make swimming activity can i make it. if it can how to train and make own database of video activity. Thank you.
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Activity Recognition from 2D pose using an LSTM RNN