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Published 20 hours ago • verified publisher icon Ning-Ding

how to compute CMC and rank-m ??

Open Phoebe-star opened this issue 7 years ago • 4 comments

how to compute CMC and rank-m ?? can you tell me thanks

Phoebe-star avatar Sep 17 '17 08:09 Phoebe-star

I might be late to put a follow up issues on what @Phoebe-star As for the cmc and rank issues, I saw the part of the code dealing with cmc and rank issues inside the main file , but i didnt know if we have to write these output to a file and plot them later , Anybody tried listing the rank or writing them to a file and try to plot it ... I appreciate ...

bmiftah avatar Apr 03 '18 03:04 bmiftah

@bmiftah Hi, I ran the main.py script. I think it will train the model. Can you please tell me how to use this model to predict test input?

hs-ucsb avatar May 13 '18 21:05 hs-ucsb

To my understanding , the author already split test data and make prediction with this after the model was trained ... you see this in the main file with the call to cmc(....) , In side cmc(..) with the call to similarity_batch = model.predict_on_batch([camera_batch1, camera2]),the splited data is fetched with a _get_test_data() function, .. similarity prediction of probe against gallery and subsequent ranking based on these prediction is done in cmc( ..) ...

bmiftah avatar May 14 '18 01:05 bmiftah

@bmiftah Hi, In the main method, there are parameters : train_num=100, one_epoch=30000, epoch_num=1, flag_random=None, random_pattern=lambda x:x/2+0.4, flag_train=0, flag_val=1, which_val_data='validation', nb_val_samples=1000

If possible, can you please explain what each parameters means? Especially,. whats the difference between one_epoch and train_num? Also, what does nb_val_samples mean ?

hs-ucsb avatar May 16 '18 21:05 hs-ucsb