Merge branch 'master' into python3.8

# Conflicts:
#	models/model.py

1 files changed, 30 insertions, 0 deletions

diff --git a/eval.py b/eval.py
new file mode 100644
index 0000000..7b68220
--- /dev/null
+++ b/eval.py
@@ -0,0 +1,30 @@
+import numpy as np
+
+from config import config
+from models import Model
+from utils.dataset import ClipConditions
+from utils.misc import set_visible_cuda
+
+set_visible_cuda(config['system'])
+model = Model(config['system'], config['model'], config['hyperparameter'])
+
+dataset_selectors = {
+    'nm': {'conditions': ClipConditions({r'nm-0\d'})},
+    'bg': {'conditions': ClipConditions({r'nm-0\d', r'bg-0\d'})},
+    'cl': {'conditions': ClipConditions({r'nm-0\d', r'cl-0\d'})},
+}
+
+accuracy = model.predict_all(config['model']['total_iter'], config['dataset'],
+                             dataset_selectors, config['dataloader'])
+rank = 5
+np.set_printoptions(formatter={'float': '{:5.2f}'.format})
+for n in range(rank):
+    print(f'===Rank-{n + 1} Accuracy===')
+    for (condition, accuracy_c) in accuracy.items():
+        acc_excl_identical_view = accuracy_c[:, :, n].fill_diagonal_(0)
+        num_gallery_views = (acc_excl_identical_view != 0).sum()
+        acc_each_angle = acc_excl_identical_view.sum(0) / num_gallery_views
+        print('{0}: {1} mean: {2:5.2f}'.format(
+            condition, acc_each_angle.cpu().numpy() * 100,
+            acc_each_angle.mean() * 100)
+        )