Update metrics.py

ppcls/metric/metrics.py

@@ -84,6 +84,29 @@ class Recallk(nn.Layer):
             metric_dict["recall{}".format(k)] = all_cmc[k - 1]
         return metric_dict
 
+# retrieval metrics
+class RetriMetric(nn.Layer):
+    def __init__(self, config):
+        super().__init__()
+        self.config = config
+        self.max_rank = 50  #max(self.topk) if max(self.topk) > 50 else 50
+
+    def forward(self, similarities_matrix, query_img_id, gallery_img_id):
+        metric_dict = dict()
+        all_cmc, all_AP, all_INP = get_metrics(similarities_matrix, query_img_id,
+                                   gallery_img_id, self.max_rank)
+        if "Recallk" in self.config.keys():
+            topk = self.config['Recallk']['topk']
+            for k in topk:
+                metric_dict["recall{}".format(k)] = all_cmc[k - 1]
+        if "mAP" in self.config.keys():
+            mAP = np.mean(all_AP)
+            metric_dict["mAP"] = mAP
+        if "mINP" in self.config.keys():
+            mINP = np.mean(all_INP)
+            metric_dict["mINP"] = mINP
+        return metric_dict
+    
 
 @lru_cache()
 def get_metrics(similarities_matrix, query_img_id, gallery_img_id,