diff --git a/meshroom/nodes/aliceVision/LdrToHdrCalibration.py b/meshroom/nodes/aliceVision/LdrToHdrCalibration.py
index 5093d4fd..f6f78840 100644
--- a/meshroom/nodes/aliceVision/LdrToHdrCalibration.py
+++ b/meshroom/nodes/aliceVision/LdrToHdrCalibration.py
@@ -267,9 +267,4 @@ Calibrate LDR to HDR response curve from samples.
             else:
                 bestTuple = bracketSizes.most_common(1)[0]
                 bestBracketSize = bestTuple[0]
-                bestCount = bestTuple[1]
-                total = bestBracketSize * bestCount
-                if total >= len(inputs) - 2:
-                    node.nbBrackets.value = bestBracketSize
-                else:
-                    node.nbBrackets.value = 0
+                node.nbBrackets.value = bestBracketSize
diff --git a/meshroom/nodes/aliceVision/LdrToHdrMerge.py b/meshroom/nodes/aliceVision/LdrToHdrMerge.py
index 1cae31c6..ad55ac2c 100644
--- a/meshroom/nodes/aliceVision/LdrToHdrMerge.py
+++ b/meshroom/nodes/aliceVision/LdrToHdrMerge.py
@@ -353,12 +353,7 @@ Merge LDR images into HDR images.
             else:
                 bestTuple = bracketSizes.most_common(1)[0]
                 bestBracketSize = bestTuple[0]
-                bestCount = bestTuple[1]
-                total = bestBracketSize * bestCount
-                if total >= len(inputs) - 2:
-                    node.nbBrackets.value = bestBracketSize
-                else:
-                    node.nbBrackets.value = 0
+                node.nbBrackets.value = bestBracketSize
 
     def processChunk(self, chunk):
         # Trick to avoid sending --nbBrackets to the command line when the bracket detection is automatic.
diff --git a/meshroom/nodes/aliceVision/LdrToHdrSampling.py b/meshroom/nodes/aliceVision/LdrToHdrSampling.py
index fb62a6ef..b5b491da 100644
--- a/meshroom/nodes/aliceVision/LdrToHdrSampling.py
+++ b/meshroom/nodes/aliceVision/LdrToHdrSampling.py
@@ -288,9 +288,4 @@ Sample pixels from Low range images for HDR creation.
             else:
                 bestTuple = bracketSizes.most_common(1)[0]
                 bestBracketSize = bestTuple[0]
-                bestCount = bestTuple[1]
-                total = bestBracketSize * bestCount
-                if total >= len(inputs) - 2:
-                    node.nbBrackets.value = bestBracketSize
-                else:
-                    node.nbBrackets.value = 0
+                node.nbBrackets.value = bestBracketSize