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ultralytics 8.0.41 TF SavedModel and EdgeTPU export (#1034)

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Co-authored-by: Ayush Chaurasia <ayush.chaurarsia@gmail.com>
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Glenn Jocher 2023-02-20 01:27:28 +01:00 • committed by GitHub
parent 4b866c9718
commit f6e393c1d2
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64 changed files with 604 additions and 351 deletions
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ultralytics/yolo/utils/metrics.py
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@ -512,6 +512,7 @@ class DetMetrics:
self.plot = plot
self.names = names
self.box = Metric()
self.speed = {'preprocess': 0.0, 'inference': 0.0, 'loss': 0.0, 'postprocess': 0.0}
def process(self, tp, conf, pred_cls, target_cls):
results = ap_per_class(tp, conf, pred_cls, target_cls, plot=self.plot, save_dir=self.save_dir,
@ -554,6 +555,7 @@ class SegmentMetrics:
self.names = names
self.box = Metric()
self.seg = Metric()
self.speed = {'preprocess': 0.0, 'inference': 0.0, 'loss': 0.0, 'postprocess': 0.0}
def process(self, tp_m, tp_b, conf, pred_cls, target_cls):
results_mask = ap_per_class(tp_m,
@ -612,6 +614,7 @@ class ClassifyMetrics:
def __init__(self) -> None:
self.top1 = 0
self.top5 = 0
self.speed = {'preprocess': 0.0, 'inference': 0.0, 'loss': 0.0, 'postprocess': 0.0}
def process(self, targets, pred):
# target classes and predicted classes