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The reproducibility metrics do not match the results in the paper #44

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3232731490 opened this issue Sep 6, 2024 · 3 comments
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@3232731490
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When I replicated the experiment on A40, the indicator did not reach the effect in the author's paper, and the map50 was only about 0.75, did the author use the pre-training weight of yolov5-l when running the experiment?

@3232731490
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When I replicated the experiment on A40, the indicator did not reach the effect in the author's paper, and the map50 was only about 0.75, did the author use the pre-training weight of yolov5-l when running the experiment?

After loading the Yolov5L pre-training weights and then training, the MAP50 indicator directly reaches about 0.81, which is higher than the index in the paper.

@buyuxixi
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buyuxixi commented Oct 9, 2024

请问你用的是这个配置吗?
parser.add_argument('--weights', type=str, default='/root/autodl-tmp/ICAF\models\yolov5l.yaml', help='initial weights path')
parser.add_argument('--cfg', type=str, default='./models/transformer/yolov5l_Transfusion_FLIR.yaml', help='model.yaml path')
parser.add_argument('--data', type=str, default='/root/autodl-tmp/ICAF/data/multispectral/FLIR-align-3class.yaml', help='data.yaml path')
我为啥跑不出来0.81

@chanchanchan97
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When I replicated the experiment on A40, the indicator did not reach the effect in the author's paper, and the map50 was only about 0.75, did the author use the pre-training weight of yolov5-l when running the experiment?

Yes, we use the pre-training weight during the training process.

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