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spiritsky123 avatar spiritsky123 commented on May 18, 2024

“目前支持PaddleDetection中的YoloV3,我们提供了PaddleDetection中的yolov3_darknet_voc的下载地址,用户需要使用save_inference_model接口来保存模型和参数,并且yolov3中的multiclass_nms的normalized参数需手动设为True,否则最终结果会存在轻微的差异。“

是否能提供一个YoloV3进行转化的一个可行的示例?

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cjt222 avatar cjt222 commented on May 18, 2024

这个是PaddleDetection更新OP的参数导致的参数错误,您可以使用models的release1.5.1去save_inference_model,然后进行转换

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spiritsky123 avatar spiritsky123 commented on May 18, 2024

训练产生的模型也需要用models-1.5.1么?

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spiritsky123 avatar spiritsky123 commented on May 18, 2024

有没有可能把paddle2onnx升级支持新的models?
发现不同版本之间的兼容性现在问题很多

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cjt222 avatar cjt222 commented on May 18, 2024

之后会对支持的模型做一次重新整理,兼容最新的models

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spiritsky123 avatar spiritsky123 commented on May 18, 2024

那能不能理解当前的paddle2onnx只支持models1.5.1及以前的版本?

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spiritsky123 avatar spiritsky123 commented on May 18, 2024

@cjt222 我按照你的方法,用models1.5.1训练了个模型,用该版本的save_inference_model,结果还是一样,出错信息跟上面的一致。
我用的paddlepaddle是1.6.0的,python3.7的环境。

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cjt222 avatar cjt222 commented on May 18, 2024

之前的测试环境是paddlepaddle1.5,您可以试一下paddlepaddle1.5,看是不是可以

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spiritsky123 avatar spiritsky123 commented on May 18, 2024

@cjt222 paddlepaddle是1.5版本,还是1.5.x版本都可以的?好像1.5.2也不行,老问题。
还有,我看paddlepaddle1.6版本的发布说明,不是说paddle2onnx0.2,已经配套了么,难道没有测过?

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