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authornunzip <np.scarh@gmail.com>2018-12-11 19:26:29 +0000
committernunzip <np.scarh@gmail.com>2018-12-11 19:26:29 +0000
commitc053a23b2fa24269270be346977048b73f69b236 (patch)
tree16e466eaee10dac520e58ef1487fc253ffaed29f
parent9c3c0905f162c1e5567c6879f3b326004a1626ee (diff)
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Revert mAP to interpolate
-rwxr-xr-xopt.py4
1 files changed, 2 insertions, 2 deletions
diff --git a/opt.py b/opt.py
index 3d68adc..4fe263a 100755
--- a/opt.py
+++ b/opt.py
@@ -159,8 +159,8 @@ def test_model(gallery_data, probe_data, gallery_label, probe_label, gallery_cam
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
+ mAP[i] = sum(max_level_precision[i])/11
+ #mAP[i] = sum(precision[i])/args.neighbors
print('mAP:',np.mean(mAP))
return np.mean(mAP)