Add warning emoji ⚠️ on `--conf > 0.001` (#8005)
* Add warning emoji on `--conf > 0.001` * Update val.py
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val.py
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val.py
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@ -38,7 +38,7 @@ from models.common import DetectMultiBackend
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from utils.callbacks import Callbacks
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from utils.callbacks import Callbacks
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from utils.dataloaders import create_dataloader
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from utils.dataloaders import create_dataloader
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from utils.general import (LOGGER, check_dataset, check_img_size, check_requirements, check_yaml,
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from utils.general import (LOGGER, check_dataset, check_img_size, check_requirements, check_yaml,
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coco80_to_coco91_class, colorstr, increment_path, non_max_suppression, print_args,
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coco80_to_coco91_class, colorstr, emojis, increment_path, non_max_suppression, print_args,
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scale_coords, xywh2xyxy, xyxy2xywh)
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scale_coords, xywh2xyxy, xyxy2xywh)
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from utils.metrics import ConfusionMatrix, ap_per_class, box_iou
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from utils.metrics import ConfusionMatrix, ap_per_class, box_iou
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from utils.plots import output_to_target, plot_images, plot_val_study
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from utils.plots import output_to_target, plot_images, plot_val_study
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@ -363,7 +363,7 @@ def main(opt):
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if opt.task in ('train', 'val', 'test'): # run normally
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if opt.task in ('train', 'val', 'test'): # run normally
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if opt.conf_thres > 0.001: # https://github.com/ultralytics/yolov5/issues/1466
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if opt.conf_thres > 0.001: # https://github.com/ultralytics/yolov5/issues/1466
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LOGGER.info(f'WARNING: confidence threshold {opt.conf_thres} >> 0.001 will produce invalid mAP values.')
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LOGGER.info(emojis(f'WARNING: confidence threshold {opt.conf_thres} > 0.001 produces invalid results ⚠️'))
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run(**vars(opt))
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run(**vars(opt))
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else:
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else:
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