Open anilsh opened 5 years ago
Hi @anilsh ,
Yes. You could use the provided model to other datasets, since we extract the feature in the middle level (the description of the person) rather than the specific class prediction (who is the person).
However, I do not suggest to use the model trained on dataset A to dataset B directly without any adaption. Generally, it would be better to fine-tune the model on the target dataset B training data.
Okay, thanks for the suggestion.
I am getting very low rank-1 accuracy when I try it on Duke dataset. Do you provide a trained model for duke dataset?
Sorry @anilsh Due to the demand of Duke University, I could not make any data (including trained model) public.
@layumi
What can be the metrics that can be fine-tuned. What are the changes we should do, to train the model on custom dataset
HI @layumi , In the prepare.y module , multi_query is not considered for duke , you pointed out this in the commnet as
why was this ? .. some multi_query ranks are reported for duke in some papers .. I see gt_box folder for market-1501 but this folder is missing for duke and hence i could't run your prepare.py to prepare data multi_query ..I appreciate if you can respond to this at your convenience
@bmiftah
Market-1501 has one extra folder called gt_query
for multiple query evaluation.
I made DukeMTMC-reID. I do not leave one extra folder.
So the multiple query for DukeMTMC-reID does not exist. How can you even do the multi-query evaluation?
I guess that somebody may directly use the query in the query folder to do the multi-query evaluation. It could reflect some patterns of the better query but the results are duplicated. Because the retrieval result of the same person in the same camera is the same.
Also, how can we use the same model to compute the test performance of other datasets?
Is it possible to use the provided model on other datasets? Or any suggestion about how it can be done?