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The evaluation tool of OpenCV is not available for all newer models. Even if it was present in OpenCV 2.4, it only worked for the old haartraining models and not for the models generated by traincascade application. It is still on my and others todo list to reshape the evaluation tool to something useful, but haven't found the time to do so.
In the meantime, you should create - A personal test set - A ground truth of that test set - The detection output on the test set
Then you can calculate precision recall measures for different score thresholds and perform a PR curve evaluation. The book OpenCV 3 Blueprints discusses how you can do that in detail.
