Closed dongzhenguo2016 closed 4 years ago
please help me! thanke you very much
Sorry, we don't have script to visualize result till now. Since I'm busy recently, this feature may be added not earlier than next week.
画框已经解决了,我把代码写在了CSDN博客里面,有需要的朋友可以 看一下。 我里面有详细的注释 所能实现的功能就是调用训练好的权重文件,在测试集上画框并显示类别和置信度,还可以指定使用第几个epoch的权重,并且还能将ground truth画上去,方便查看模型真实的效果咋样。 https://blog.csdn.net/dongzichen2015/article/details/104473180 希望大家科研顺利!
I now run detection_train.py to train the model using tridentnet_r101v1c4_c5_1x.py, and use detection_test.py to call the trained weight file to calculate the AP values for each class on the test set. Now I want to draw a detection frame and the corresponding category and confidence on each image on the test set. But I didn't find the corresponding code. Can you provide it? Thank you My test set has about 1,000 images. I want to draw the detection frame, category, and confidence. Let ’s take a look at the real detection effect. I see that it is true, only on the test set. In order to see how good the performance of the algorithm is. Thanks a lot!