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Assembly Line Activity Recognition: Difference between revisions
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In addition, the following plots show the training and validation loss for the best performing network, as well as the test confusion matrix; this matrix shows predominance along its diagonal; indicating a match between the networks predictions and the sample's ground truth. | In addition, the following plots show the training and validation loss for the best performing network, as well as the test confusion matrix; this matrix shows predominance along its diagonal; indicating a match between the networks predictions and the sample's ground truth. | ||
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<gallery widths=350px heights=350px mode=packed> | <gallery widths=350px heights=350px mode=packed> | ||
File:Assembly-training-loss.svg|Loss plots | File:Assembly-training-loss.svg|Loss plots | ||
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Finally, the inference demo below shows a gif of the assembly process under inference; it displays the top prediction for the sample as well as the associated softmax value. This inference process has a threshold of 0.5 meaning that if none of the softmax values achieve a 50% value, then no activity is recognized. | Finally, the inference demo below shows a gif of the assembly process under inference; it displays the top prediction for the sample as well as the associated softmax value. This inference process has a threshold of 0.5 meaning that if none of the softmax values achieve a 50% value, then no activity is recognized. | ||
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[[File:assembly-inference-results.gif|700px|center|thumb|Assembly inference results]] | [[File:assembly-inference-results.gif|700px|center|thumb|Assembly inference results]] | ||