Open yang-yk opened 4 years ago
@duynn912 Do you have any idea about my questions above. Thanks!
Hi @yang-yk,
I also got a result like you for 5 way 1 shot. Actually, I did not experiment 5 way 5 shot so I did not know exactly how many accuracy is. However, according to the paper, when we experiment 5 way 1 shot, it means we have one image from each class, totally 5 images for 5 classes. And you have 5 way 5 shot, you will have 5 images from each class of 5 classes, totally 25 images for 5 classes. At this time, you have more images for your experiment, I think it will have a higher accuracy in comparison to 5 way 1 shot and it will be similar to the paper. So, I was also wondering why it is?
Hi Yukuyan,
I need to run the test to reconstruct the problem you are describing, and I will get back to you.
Regards, Joseph
On Sun, Jan 19, 2020 at 2:01 PM Yukuan Yang notifications@github.com wrote:
Hi, Shtok, sorry to bother you again.
When I run the code of 5-way 1-shot, the experiment results are close to what the paper reports. However, when I run the code with the command 'python fpn/few_shot_benchmark.py --test_name=RepMet_inloc --Nshot=5 --Nway=5 --Nquery_cat=10 --Nepisodes=500' (5-way 5-shot), the AP is much smaller (48.3%) than what the paper reports (68.8%). I wonder why it happens. Can you help me to solve this problem. Thanks very much!
Sincerely, Yukuan Yang
— You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub https://github.com/jshtok/RepMet/issues/22?email_source=notifications&email_token=ACOBU6VZGT2TWMD5V4VVO4TQ6Q6JLA5CNFSM4KIY2XK2YY3PNVWWK3TUL52HS4DFUVEXG43VMWVGG33NNVSW45C7NFSM4IHFQPBQ, or unsubscribe https://github.com/notifications/unsubscribe-auth/ACOBU6QVFCWSF4HDSWAOUVLQ6Q6JLANCNFSM4KIY2XKQ .
Hi @yang-yk , I just executed the line python fpn/few_shot_benchmark.py --test_name=RepMet_inloc --Nshot=5 --Nway=5 --Nquery_cat=10 --Nepisodes=500
and I am getting good results (see .log file below). Sorry I couldn't reconstruct your error.
Regards, Joseph
Hi @jshtok , Thanks for your reply. I think the reason why I have met the problem lies in the episode file generated by the code after comparing your log file. My log file and episode file is as follows. I think my episode file (.npz) is different from yours. I wonder whether this is caused by the random seed setting or the NumPy version (1.16.5).
To be clear, I use the original code from Github and the original model parameters (downloaded from the google drive). Can you give me your 1-shot 5-shot and 10-shot episode file (.npz file in the output directory).
Thanks very much and hope to hear from you soon!
Best regards, Yukuan Yang
Hi Yukuan, Sorry for the late reply. Please see the file attached:
On Sat, Feb 8, 2020 at 5:15 PM Yukuan Yang notifications@github.com wrote:
Hi @jshtok https://github.com/jshtok , Thanks for your reply. I think the reason why I have met the problem lies in the episode file generated by the code after comparing your log file. My log file and episode file is as follows. I think my episode file (.npz) is different from yours. I wonder whether this is caused by the random seed setting or the numpy version (1.16.5).
To be clear, I use the original code from github and the original model parameters (downloaded from the google drive). Can you give me your 5-shot and 10-shot episode file (.npz file in the output directory).
Thanks very much and hoping hearing from you soon!
Best regards, Yukuan Yang
Uploading few_shot_benchmark_RepMet_inloc_5shot_5way_10qpc_500epi_aug_0_10_lr_1.0e-04_nms_0.30_iou_0.70_clust_1_exact_1_2020-01-19-01-24.txt…
— You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub https://github.com/jshtok/RepMet/issues/22?email_source=notifications&email_token=ACOBU6TRIKCO3AKQ7AS74M3RB3ECLA5CNFSM4KIY2XK2YY3PNVWWK3TUL52HS4DFVREXG43VMVBW63LNMVXHJKTDN5WW2ZLOORPWSZGOELFUAIA#issuecomment-583745568, or unsubscribe https://github.com/notifications/unsubscribe-auth/ACOBU6XC2CCUMUPD5WPWST3RB3ECLANCNFSM4KIY2XKQ .
Hi, Shtok, sorry to bother you again.
When I run the code of 5-way 1-shot, the experiment results are close to what the paper reports. However, when I run the code with the command 'python fpn/few_shot_benchmark.py --test_name=RepMet_inloc --Nshot=5 --Nway=5 --Nquery_cat=10 --Nepisodes=500' (5-way 5-shot), the AP is much smaller (48.3%) than what the paper reports (68.8%). I wonder why it happens. Can you help me to solve this problem. Thanks very much!
Sincerely, Yukuan Yang