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MIC-DKFZ / medicaldetectiontoolkit

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

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Question about result of toy data.

MengzhangLI opened this issue · comments

commented

Hi, I'm a beginner of MedicalDetectionToolkit, this is a very amazing framework for medical object detection. Thanks for your contributions to community!

When using MDT on 2D toy data by implementing:
python experiments/toy_exp/generate_toys.py
numerical results is a little bit wrong: the trend of loss is not stable:
monitor_0_0

The visulization of 2D toydata shows it has many bbox candidates.(NMS not work?) I didn't change any parameters on config.py, do I forget or misuse some parameters of MDT?
WeChat Screenshot_20200515045928

Best,

Mengzhang LI

commented

Hello! I'm having the same questions, did you manage to find convincing answers?

commented

Hello! I'm having the same questions, did you manage to find convincing answers?

It is mainly because of small object with/without hole in the center is difficult to discriminate. If I remember well, if you make the inner hole bigger, the validation results would become better. You can have a try.

Best,