No confidence score for the predicted boxes

[pordeli]

I have ground truth boxes and predicted boxes from YOLO and DPM and Openpose algorithms. Their format is [ x y w h] and I do not have the confidence scores. Is it possible to use your python code for getting the precision and recall and the curve? I get the below error:
Metrics-master/lib/BoundingBox.py", line 45, in init
'For bbType='Detection', it is necessary to inform the classConfidence value.')
OSError: For bbType='Detection', it is necessary to inform the classConfidence value.

[rafaelpadilla]

Dear @pordeli ,

No. You need the confidence scores to evaluate your detections.

Best regards,
Rafael

[pordeli]

Thanks for your reply. As long as I do not have the scores do you know a kind of code that I can use to get precision and recall and the curve for my 100 frames of the video?

[Ibmaria]

hello ,
I try to evaluate the model with my own dataset .Can you tell me how to get the box coordinates detected in this format <class_name confidence left top right bottom>
Thanks

[rafaelpadilla]

@pordeli ,

Due to the behavior of the metric we apply you will need the confidences. I do not know any other code that you could use.

[rafaelpadilla]

@Ibmaria ,

For the detections you need to apply an object detector, such as YOLO, Faster R-CNN, Fast R-CNN, etc. They will provide the detection bounding boxes, classes and confidences.

[Ibmaria]

@rafaelpadilla

For the model i use ssd mobilenet ,
for evaluation you said that to create 2 folders for ground truth and detection .How did you create detection file in the format class_name, confidence left top right bottom .I can not save them in txt format .How to save them like ground truth.Thanks for advance

[rafaelpadilla]

@Ibmaria ,

I never worked with mobilenet, so I dont know its output format. But you should get its output and convert it to the required format.

[Ibmaria]

@rafaelpadilla
my question is that how to convert it to the required format with the same name 00001.txt

[rafaelpadilla]

Dear @Ibmaria ,

You will need to create a script for that. It will take your detections to convert from the format mobilenet provides to the format and name required.

Could you show me the detections format given by mobilenet?

[Ibmaria]

@rafaelpadilla
can you show me rather your script.I will try to understand and adapt it to mine.Or your email i will send ssen you my code .Thanks in advance

[Ibmaria]

@rafaelpadilla
Finally i did but I will be delighted to see yours .Thanks

[rafaelpadilla]

@Ibmaria ,

I do not have a script for that. If you provide the output format of the mobilenet, I might be able to help you.

[rafaelpadilla]

@Ibmaria ,

Was your problem solved?

[Ibmaria]

@rafaelpadilla
yes i did .Thanks