13 I saw Anida's problem. I have a same problem. And i can not get the precision recall curve from your paper.
I want to know what will u put the precision value and recall value if there are no proposals exceed the threshold you set? You set it to precision:1.0 recall: 0.0 or something else? I tried many methods. I evaulated it by getting each image's p_r value and let the average mean of them to the final p_r of this threshold. I also tried to caculate all the TP and FP and FN numbers of the whole testing images and used the formula to get the final p_r of this threshold. But also didn't get the result. This trapped me a lot.
You said 'I analyzed if any of them had more than 0.5 intersection over union with any object of the ground truth, and that is a TP'. but I think that means one gt can have more than one TP.
And I want to know if your models given on github can be used directly to test and get the precision recall curve. Should i still need to train for getting the result of your paper.
You said this model is different from ones from your paper. One is for 1 object. One is for multiple objects. So did you have precision recall curve graph of this model ?
Or if it is possible. Could you please upload the metric codes. That will be of great help.
Hi
13 I saw Anida's problem. I have a same problem. And i can not get the precision recall curve from your paper.
I want to know what will u put the precision value and recall value if there are no proposals exceed the threshold you set? You set it to precision:1.0 recall: 0.0 or something else? I tried many methods. I evaulated it by getting each image's p_r value and let the average mean of them to the final p_r of this threshold. I also tried to caculate all the TP and FP and FN numbers of the whole testing images and used the formula to get the final p_r of this threshold. But also didn't get the result. This trapped me a lot.
You said 'I analyzed if any of them had more than 0.5 intersection over union with any object of the ground truth, and that is a TP'. but I think that means one gt can have more than one TP.
And I want to know if your models given on github can be used directly to test and get the precision recall curve. Should i still need to train for getting the result of your paper.
You said this model is different from ones from your paper. One is for 1 object. One is for multiple objects. So did you have precision recall curve graph of this model ?
Or if it is possible. Could you please upload the metric codes. That will be of great help.
Thanks a lot.