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Modifying the model for multi object localization in an image #9

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farshadopencv opened this issue Oct 29, 2018 · 1 comment
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@farshadopencv
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Hi. thanks for your amazing work. this model works very nice. But i have a question. when i feed the model with an image with two or three cats, I have only one box and its accuracy is very low. How can I modify the model for multi detection? what parts of the train_model.py or evaluate_performance.py should be changed for that? Your response will be highly appreciated.

@lars76
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lars76 commented Oct 29, 2018

Hi, example_1 and example_2 only support single-object detection. If you want to modify these two examples, you need to look at papers like YOLO, SSD etc.

Alternatively, use example_3 it supports multiple objects. You only have to modify the grouping function in test.py. YOLO is basically like example_3, except that it uses regression and some other fancy stuff (stronger architecture, anchor boxes etc.).

@lars76 lars76 closed this as completed Nov 12, 2018
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