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author | nunzip <np.scarh@gmail.com> | 2018-12-12 19:02:42 +0000 |
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committer | nunzip <np.scarh@gmail.com> | 2018-12-12 19:02:42 +0000 |
commit | 4a287d8af1bf67c96b2116a4614272769c69cc43 (patch) | |
tree | 0a8c219ac5df1f4b14b6408fad61215fce6d33ae /evaluate.py | |
parent | d8b633d900cacb2582e54aa3b9c772a5b95b2e87 (diff) | |
download | vz215_np1915-4a287d8af1bf67c96b2116a4614272769c69cc43.tar.gz vz215_np1915-4a287d8af1bf67c96b2116a4614272769c69cc43.tar.bz2 vz215_np1915-4a287d8af1bf67c96b2116a4614272769c69cc43.zip |
Rewrite some paper
Diffstat (limited to 'evaluate.py')
-rwxr-xr-x | evaluate.py | 2 |
1 files changed, 0 insertions, 2 deletions
diff --git a/evaluate.py b/evaluate.py index 4c1264e..0f8fe48 100755 --- a/evaluate.py +++ b/evaluate.py @@ -158,10 +158,8 @@ def test_model(gallery_data, probe_data, gallery_label, probe_label, gallery_cam for i in range(probe_label.shape[0]): for j in range(11): max_level_precision[i][j] = np.max(precision[i][np.where(recall[i]>=(j/10))]) - #print(mAP[i]) for i in range(probe_label.shape[0]): mAP[i] = sum(max_level_precision[i])/11 - #mAP[i] = sum(precision[i])/args.neighbors print('mAP:',np.mean(mAP)) return target_pred |