Open timothy-wu opened 6 years ago
and I come across the same question ,have you solve it?? @timothy-wu
Please use the updated file “activitynet_log_analysis.py”.
On Apr 16, 2018, at 00:40, timothy-wu notifications@github.com<mailto:notifications@github.com> wrote:
firstly,thank you for your sharing the code. when I test your released R-C3D model on activitynet dataset,the mAP and the proposal task performance are much lower than yours or the expected result.The results are as follows:
[INIT] Loaded annotations from validation subset. Number of ground truth instances: 7220 Number of predictions: 29 Fixed threshold for tiou score: [ 0.5 0.55 0.6 0.65 0.7 0.75 0.8 0.85 0.9 0.95] [RESULTS] Performance on ActivityNet detection task. Average-mAP: 4.16666666667e-05 [INIT] Loaded annotations from validation subset. Number of ground truth instances: 7220 Number of proposals: 29 Fixed threshold for tiou score: [ 0.5 0.55 0.6 0.65 0.7 0.75 0.8 0.85 0.9 0.95] [RESULTS] Performance on ActivityNet proposal task. Area Under the AR vs AN curve: 0.0164542936288% I don't know what lead to these abnormal results. could you give me some suggestions? I'm looking forward to your reply. Thank you very much!
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@huijuan88 I have solved it by doing what you said,sincerely thanks again. Now I want to change the format of the test_log,but i don't know which file controls the output format.Could you tell me the file or the def about that question?Anyway,thanks a lot.
[INIT] Loaded annotations from validation subset. Number of ground truth instances: 7220 Number of predictions: 29 Fixed threshold for tiou score: [ 0.5 0.55 0.6 0.65 0.7 0.75 0.8 0.85 0.9 0.95] [RESULTS] Performance on ActivityNet detection task. Average-mAP: 4.16666666667e-05 [INIT] Loaded annotations from validation subset. Number of ground truth instances: 7220 Number of proposals: 29 Fixed threshold for tiou score: [ 0.5 0.55 0.6 0.65 0.7 0.75 0.8 0.85 0.9 0.95] [RESULTS] Performance on ActivityNet proposal task. Area Under the AR vs AN curve: 0.0164542936288% I don't know what lead to these abnormal results. could you give me some suggestions? I'm looking forward to your reply. Thank you very much!