PaddlePaddle / PaddlePaddle/FastDeploy
Fastdeploy下使用ppvehicle的模型推理汽车的属性分类出现bug
@rainyfly is already working on this.
Since Apr 3, 2024.
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Description
环境
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【FastDeploy版本】：
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【系统平台】: Linux x64(Ubuntu 2004)
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【硬件】： CPU
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【编译语言】： C++
在https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.7/deploy/pipeline/docs/tutorials/ppvehicle_attribute.md下载了车辆检测模型以及车辆属性识别模型，基于fastdeploy部署了车辆目标检测以及车辆属性识别模型，其中车辆检测模型识别正常推理，但是车辆属性识别出现问题，算法流程：目标检测图像中的车辆，然后将车辆roi扣出来，单独送到车辆属性检测器推理，但是出现失败，具体log如下：
terminate called after throwing an instance of 'ov::Exception'
what(): Can't set input blob with name: x, because model input (shape=[?,3,192,256]) and blob (shape=(1.765.1360.3)) are incompatible
Aborted
roi图像没有问题，测试保存下来是正常的车辆图像，也尝试过单独使用fastdeploy推理ppvehicle的属性识别模型，也是报一样的错误
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