Fix get ann ids

faster_coco_eval/core/coco.py

@@ -174,40 +174,43 @@ def getAnnIds(self, imgIds=[], catIds=[], areaRng=[], iscrowd=None):
         :return: ids (int array)       : integer array of ann ids
 
         """
+        imgIds = imgIds if _isArrayLike(imgIds) else [imgIds]
+        catIds = catIds if _isArrayLike(catIds) else [catIds]
 
-        anns = []
+        check_area = len(areaRng) > 0
+        check_crowd = iscrowd is not None
+        check_cat = len(catIds) > 0
+        check_img = len(imgIds) > 0
 
-        if len(imgIds) != 0:
-            for img_id in imgIds:
-                anns.extend(self.img_ann_map[img_id])
-        else:
+        if not (check_area and check_crowd and check_cat and check_img):
             anns = self.dataset["annotations"]
+        else:
+            anns = []
 
-        # return early if no more filtering required
-        if (len(catIds) == 0) and (len(areaRng) == 0) and (iscrowd is None):
-            return [_ann["id"] for _ann in anns]
+            if check_img:
+                for img_id in imgIds:
+                    anns.extend(self.img_ann_map[img_id])
+            else:
+                anns = self.dataset["annotations"]
 
-        cat_ids = set(catIds)
+            if check_cat:
+                anns = [ann for ann in anns if ann["category_id"] in catIds]
 
-        if len(areaRng) == 0:
-            areaRng = [0, float("inf")]
+            if check_area:
+                areaRng = [0, float("inf")]
 
-        imgIds = imgIds if _isArrayLike(imgIds) else [imgIds]
-        catIds = catIds if _isArrayLike(catIds) else [catIds]
+                anns = [
+                    ann
+                    for ann in anns
+                    if ann["area"] > areaRng[0] and ann["area"] < areaRng[1]
+                ]
 
-        if iscrowd is None:
-            iscrowd = False
+            if check_crowd:
+                anns = [ann for ann in anns if ann["iscrowd"] == iscrowd]
 
-        ann_ids = [
-            _ann["id"]
-            for _ann in anns
-            if _ann["category_id"] in cat_ids
-            and _ann["area"] > areaRng[0]
-            and _ann["area"] < areaRng[1]
-            and int(_ann.get("iscrowd", 0)) == int(iscrowd)
-        ]
+        ids = [ann["id"] for ann in anns]
 
-        return ann_ids
+        return ids
 
     def getCatIds(self, catNms=[], supNms=[], catIds=[]):
         """Filtering parameters.

faster_coco_eval/core/cocoeval.py

@@ -155,15 +155,10 @@ def _prepare(self):
 
         # set ignore flag
         for gt in gts:
-            if "ignore" not in gt:
-                gt["ignore"] = 0
-
-            if ("iscrowd" in gt) and (gt["ignore"] != 0):
-                gt["ignore"] = gt["iscrowd"]
-
-            if p.iouType == "keypoints" and (gt["ignore"] == 0):
-                gt["ignore"] = int(gt.get("num_keypoints", 0) == 0)
-
+            gt["ignore"] = gt["ignore"] if "ignore" in gt else 0
+            gt["ignore"] = "iscrowd" in gt and gt["iscrowd"]
+            if p.iouType == "keypoints":
+                gt["ignore"] = (gt.get("num_keypoints") == 0) or gt["ignore"]
         self._gts = defaultdict(list)  # gt for evaluation
         self._dts = defaultdict(list)  # dt for evaluation
         img_pl = defaultdict(

faster_coco_eval/version.py

@@ -1,2 +1,2 @@
-__version__ = "1.5.6"
+__version__ = "1.5.7"
 __author__ = "MiXaiLL76"

history.md

@@ -1,6 +1,10 @@
 
 # history
 
+## v1.5.7
+
+- [x] Compare COCOEval bug fix. 
+
 ## v1.5.6
 
 - [x] Replace CED MSE curve with MAE (px) curve