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fix non-coco val

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wa22 2024-05-24 07:38:21 +00:00
parent 483d7a9050
commit 66bca50c47
1 changed files with 9 additions and 8 deletions
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17
ultralytics/engine/validator.py
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@ -112,7 +112,7 @@ class BaseValidator:
if self.training:
self.device = trainer.device
self.data = trainer.data
self.args.half = self.device.type != "cpu" # force FP16 val during training
# self.args.half = self.device.type != "cpu" # force FP16 val during training
model = trainer.ema.ema or trainer.model
model = model.half() if self.args.half else model.float()
# self.model = model
@ -196,16 +196,17 @@ class BaseValidator:
self.check_stats(stats)
self.speed = dict(zip(self.speed.keys(), (x.t / len(self.dataloader.dataset) * 1e3 for x in dt)))
self.finalize_metrics()
# self.print_results()
if not (self.args.save_json and self.jdict):
self.print_results()
self.run_callbacks("on_val_end")
if self.training:
model.float()
assert(self.args.save_json and self.jdict)
with open(str(self.save_dir / "predictions.json"), "w") as f:
LOGGER.info(f"Saving {f.name}...")
json.dump(self.jdict, f) # flatten and save
stats = self.eval_json(stats) # update stats
stats['fitness'] = stats['metrics/mAP50-95(B)']
if self.args.save_json and self.jdict:
with open(str(self.save_dir / "predictions.json"), "w") as f:
LOGGER.info(f"Saving {f.name}...")
json.dump(self.jdict, f) # flatten and save
stats = self.eval_json(stats) # update stats
stats['fitness'] = stats['metrics/mAP50-95(B)']
results = {**stats, **trainer.label_loss_items(self.loss.cpu() / len(self.dataloader), prefix="val")}
return {k: round(float(v), 5) for k, v in results.items()} # return results as 5 decimal place floats
else: