```python self.n = len(self.pred) # number of images (batch size) ```5.0
@@ -247,7 +247,7 @@ class Detections: | |||
self.xywh = [xyxy2xywh(x) for x in pred] # xywh pixels | |||
self.xyxyn = [x / g for x, g in zip(self.xyxy, gn)] # xyxy normalized | |||
self.xywhn = [x / g for x, g in zip(self.xywh, gn)] # xywh normalized | |||
self.n = len(self.pred) | |||
self.n = len(self.pred) # number of images (batch size) | |||
self.t = tuple((times[i + 1] - times[i]) * 1000 / self.n for i in range(3)) # timestamps (ms) | |||
self.s = shape # inference BCHW shape | |||