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This repository has been archived by the owner on Sep 1, 2021. It is now read-only.
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.
The text was updated successfully, but these errors were encountered:
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.).
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
orevaluate_performance.py
should be changed for that? Your response will be highly appreciated.The text was updated successfully, but these errors were encountered: