Bienqq
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car-detection-bayes
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updates

This commit is contained in:
Glenn Jocher 2018-12-20 22:08:47 +01:00
parent 62c186da25
commit 34fb1bb8a9
1 changed files with 1 additions and 0 deletions
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test.py
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@ -44,6 +44,7 @@ def test(
# dataloader = torch.utils.data.DataLoader(dataset, batch_size=batch_size, shuffle=False, num_workers=n_cpus) # dataloader = torch.utils.data.DataLoader(dataset, batch_size=batch_size, shuffle=False, num_workers=n_cpus)
dataloader = load_images_and_labels(test_path, batch_size=batch_size, img_size=img_size) dataloader = load_images_and_labels(test_path, batch_size=batch_size, img_size=img_size)
mean_mAP, mean_R, mean_P = 0.0, 0.0, 0.0
print('%11s' * 5 % ('Image', 'Total', 'P', 'R', 'mAP')) print('%11s' * 5 % ('Image', 'Total', 'P', 'R', 'mAP'))
outputs, mAPs, mR, mP, TP, confidence, pred_class, target_class = [], [], [], [], [], [], [], [] outputs, mAPs, mR, mP, TP, confidence, pred_class, target_class = [], [], [], [], [], [], [], []
AP_accum, AP_accum_count = np.zeros(nC), np.zeros(nC) AP_accum, AP_accum_count = np.zeros(nC), np.zeros(nC)