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mAP by Darknet and mAP by Cartucho are different on detection same validation images. #7332
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@HanTnx were you able to solve this difference in map issue? |
@HanTnx I'm also curious to know if you found a solution to get a better match between Darknet and Open-CV dnn results. |
Let's me explain shortly what I have done. Firstly, I trained my custom dataset on Darknet Ubuntu 18.04, the best weigtht on 840 validation images is mAP 87%. Secondly, I use this 87% best weight on OpenCV DNN Python code to detect the same 840 images and used the detection results to calculate mAP with Cartucho source code. But these two mAP are very different, you can see in include image
![mAP_curto](https://user-images.githubusercontent.com/36918727/106982644-cfe4a680-67a7-11eb-9944-713f89462f91.PNG)
Can you explain or correct what I have done wrongly ? Thank you for your time and consideration
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