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使用预训练的模型进行推理，有识别结果。基于预训练的模型训练Visdrone数据集后，使用训练后的模型进行推理，检测多张该数据集的图片，均无识别结果。 about paddleyolo HOT 5 CLOSED

retioa11 avatar retioa11 commented on June 6, 2024
使用预训练的模型进行推理，有识别结果。基于预训练的模型训练Visdrone数据集后，使用训练后的模型进行推理，检测多张该数据集的图片，均无识别结果。

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Comments (5)

retioa11 avatar retioa11 commented on June 6, 2024

还修改了这个文件的第二行：
image

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nemonameless avatar nemonameless commented on June 6, 2024

数据量太少不建议从头训，需要加载预训练权重。训练命令后加上
-o pretrain_weights=https://paddledet.bj.bcebos.com/models/yolov8_n_500e_coco.pdparams

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retioa11 avatar retioa11 commented on June 6, 2024

@nemonameless 训练命令中，已经加了 这个配置。不是这个原因。类别数除了在数据集的配置文件中修改，还需要修改别处吗？

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nemonameless avatar nemonameless commented on June 6, 2024

先设置--draw_threshold=0.1看看能否画出框来，然后eval下是否mAP正常？如果均正常，则就是画图阈值太高的原因。如果不正常则是训的不好的原因。

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njflove avatar njflove commented on June 6, 2024

数据量太少不建议从头训，需要加载预训练权重。训练命令后加上 -o pretrain_weights=https://paddledet.bj.bcebos.com/models/yolov8_n_500e_coco.pdparams

从头训练预计起步多少数据量？

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