The face_landmark model downloaded by download_models.py in /usr/bin/eiq-examples-git of the im93 sdk version 6.1.55 is inconsistent with the output processing of the routine. If possible, please provide a model that fits this routine
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The url is not maintained by NXP, you can refer this github link:
https://github.com/PINTO0309/PINTO_model_zoo/blob/main/043_face_landmark/download.sh
你用的是什么命令测的?CPU推理还是NPU?
1、使用的是cpu推理,执行命令python3 main.py -i /dev/video1 (我的usb摄像头是video1)
2、使用下载的landmark的模型根据下载脚本提供解压后的resources\10_new_detector_landmark\resources\saved_model里面的model_float32.tflite,我先把模型名字改成了和例程一致的,然后发现输出实际不一致,通过netron查看,发现和例程要求的名字不一样,例程要求的是2输出(可以看face_landmark.py里面),但实际模型是3输出
麻烦实际测一下就知道问题所在了
可以用了,谢谢