fix: replaced np.float with np.float32

mega_core/data/datasets/evaluation/cityscapes/eval_instances.py

@@ -449,7 +449,7 @@ def evaluateBoxMatches(matches, args):
 
     # Here we hold the results
     # First dimension is class, second overlap
-    ap = np.zeros((len(minRegionSizes), len(args.instLabels), len(overlaps)), np.float)
+    ap = np.zeros((len(minRegionSizes), len(args.instLabels), len(overlaps)), np.float32)
 
     for dI, minRegionSize in enumerate(minRegionSizes):
         for (oI, overlapTh) in enumerate(overlaps):
@@ -650,7 +650,7 @@ def evaluateMaskMatches(matches, args):
 
     # Here we hold the results
     # First dimension is class, second overlap
-    ap = np.zeros((len(minRegionSizes), len(args.instLabels), len(overlaps)), np.float)
+    ap = np.zeros((len(minRegionSizes), len(args.instLabels), len(overlaps)), np.float32)
 
     for dI, minRegionSize in enumerate(minRegionSizes):
         for (oI, overlapTh) in enumerate(overlaps):

mega_core/modeling/rpn/anchor_generator.py

@@ -226,16 +226,16 @@ def generate_anchors(
     """
     return _generate_anchors(
         stride,
-        np.array(sizes, dtype=np.float) / stride,
-        np.array(aspect_ratios, dtype=np.float),
+        np.array(sizes, dtype=np.float32) / stride,
+        np.array(aspect_ratios, dtype=np.float32),
     )
 
 
 def _generate_anchors(base_size, scales, aspect_ratios):
     """Generate anchor (reference) windows by enumerating aspect ratios X
     scales wrt a reference (0, 0, base_size - 1, base_size - 1) window.
     """
-    anchor = np.array([1, 1, base_size, base_size], dtype=np.float) - 1
+    anchor = np.array([1, 1, base_size, base_size], dtype=np.float32) - 1
     anchors = _ratio_enum(anchor, aspect_ratios)
     anchors = np.vstack(
         [_scale_enum(anchors[i, :], scales) for i in range(anchors.shape[0])]