.loadModel() , This purpose hundreds the model within the route you specified in the function phone previously mentioned into your graphic prediction instance. You'll have to established the parameter num_objects to the number of courses in your picture dataset. Discover case in point code and parameter aspects beneath
.setModelPath() , This functionality accepts a string which needs to be the path towards the product file produced throughout your custom teaching and ought to corresponds towards the model variety you established for the picture prediction instance. Uncover illustration code,and parameters of the function down below
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Having said that, it does peak immediately after a specific number of trainings;and that time depends upon the size and nature of your dataset.
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