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Allocated updated pycocotools metrics fix (#101)
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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@ -40,7 +40,7 @@ ipython # interactive notebook
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psutil # system utilization
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thop>=0.1.1 # FLOPs computation
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# albumentations>=1.0.3
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# pycocotools>=2.0 # COCO mAP
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# pycocotools>=2.0.6 # COCO mAP
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# roboflow
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# HUB -----------------------------------------
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@ -127,7 +127,7 @@ class BaseValidator:
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self.logger.info(f"Saving {f.name}...")
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json.dump(self.jdict, f) # flatten and save
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self.eval_json()
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stats = self.eval_json(stats)
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return stats
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def get_dataloader(self, dataset_path, batch_size):
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@ -171,5 +171,5 @@ class BaseValidator:
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def pred_to_json(self, preds, batch):
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pass
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def eval_json(self):
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def eval_json(self, stats):
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pass
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@ -210,13 +210,13 @@ class DetectionValidator(BaseValidator):
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'bbox': [round(x, 3) for x in b],
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'score': round(p[4], 5)})
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def eval_json(self):
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def eval_json(self, stats):
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if self.args.save_json and self.is_coco and len(self.jdict):
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anno_json = self.data['path'] / "annotations/instances_val2017.json" # annotations
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pred_json = self.save_dir / "predictions.json" # predictions
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self.logger.info(f'\nEvaluating pycocotools mAP using {pred_json} and {anno_json}...')
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try: # https://github.com/cocodataset/cocoapi/blob/master/PythonAPI/pycocoEvalDemo.ipynb
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check_requirements('pycocotools')
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check_requirements('pycocotools>=2.0.6')
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from pycocotools.coco import COCO # noqa
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from pycocotools.cocoeval import COCOeval # noqa
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@ -230,9 +230,10 @@ class DetectionValidator(BaseValidator):
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eval.evaluate()
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eval.accumulate()
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eval.summarize()
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self.metrics.metric.map, self.metrics.metric.map50 = eval.stats[:2] # update mAP50-95 and mAP50
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stats[self.metric_keys[-1]], stats[self.metric_keys[-2]] = eval.stats[:2] # update mAP50-95 and mAP50
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except Exception as e:
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self.logger.warning(f'pycocotools unable to run: {e}')
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return stats
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@hydra.main(version_base=None, config_path=str(DEFAULT_CONFIG.parent), config_name=DEFAULT_CONFIG.name)
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