Comments (4)
hpc203
commented on May 25, 2024
这个错误的原因是，输入数据没有转换到gpu设备上。在mtcnn_detect.detect()函数里对输入做设备转换，Input.to(device)
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licc0431
commented on May 25, 2024
好的，谢谢大神
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licc0431
commented on May 25, 2024
cv读入的numpy,先torch_from_numpy(),到Tensor，再Input.to(device)。可是这样变成gpu上tensor，后面算法又调用numpy，我不知道咋改了，本文才学，请大神指教
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hpc203
commented on May 25, 2024
cv读入的numpy,先torch_from_numpy(),到Tensor，再Input.to(device)。可是这样变成gpu上tensor，后面算法又调用numpy，我不知道咋改了，本文才学，请大神指教
gpu上的tensor转换到numpy的语法是: Input.data.cpu().numpy()
cpu上的tensor转换到numpy的语法是: Input.data.numpy()
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Related Issues (20)
- 关于准确率评估
- 关于PFLD算法 HOT 1
- opencv版本问题
- Model Files on some other drive
- OMP: Error
- 检测
- 模型文件
- GPU版本完全没法跑啊，一个接一个的错误 HOT 4
- 有借鉴意义
- 哪个最快
- 您好，最近的scrfd运行不了，会报错，是代码的问题。您可以检查一下吗
- 你好，想请教下RetinafaceDetector_dnn这个函数在哪里？ HOT 1
- libfacedetect_align_module有问题，输出的向量尺寸错误 HOT 4
- retina_face 的模型是从哪里获取的？用哪个数据训练的？
- retinaface_detect 与retinaface_dnn_detect区别 HOT 2
- 视频人脸识别 HOT 1
- 当图像尺度较小时，facebox报错 HOT 1
- 使用mtcnn_pfld_landmark运行getfeature时报错 HOT 2
- detec_face_align_rec.py报错 HOT 5
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