torchvision::nms的问题已解决 出现'float' object has no attribute 'rint'

[hotdogarea]

torchvision::nms的问题已解决 出现'float' object has no attribute 'rint'

[smthemex]

我的解决方法很粗暴，就是 直接将数据强制写为np的浮点数 xyxy = select_bbox[:4].astype(float)

[hotdogarea]

问题已经解决#5

目前遇到新问题就是出现numpy的问题，是因为版本太低了么
PS H:\AIaudio_Live\EchoMimic> python .\infer_audio2vid.py
C:\Users\Administrator.conda\envs\echo\lib\site-packages\diffusers\utils\outputs.py:63: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.
torch.utils._pytree._register_pytree_node(
C:\Users\Administrator.conda\envs\echo\lib\site-packages\diffusers\utils\outputs.py:63: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.
torch.utils._pytree._register_pytree_node(
add ffmpeg to path
Some weights of the model checkpoint were not used when initializing UNet2DConditionModel:
['down_blocks.0.attentions.0.transformer_blocks.0.attn2.to_q.weight, down_blocks.0.attentions.0.transformer_blocks.0.attn2.to_k.weight, down_blocks.0.attentions.0.transformer_blocks.0.attn2.to_v.weight, down_blocks.0.attentions.0.transformer_blocks.0.attn2.to_out.0.weight, down_blocks.0.attentions.0.transformer_blocks.0.attn2.to_out.0.bias, down_blocks.0.attentions.0.transformer_blocks.0.norm2.weight, down_blocks.0.attentions.0.transformer_blocks.0.norm2.bias, down_blocks.0.attentions.1.transformer_blocks.0.attn2.to_q.weight, down_blocks.0.attentions.1.transformer_blocks.0.attn2.to_k.weight, down_blocks.0.attentions.1.transformer_blocks.0.attn2.to_v.weight, down_blocks.0.attentions.1.transformer_blocks.0.attn2.to_out.0.weight, down_blocks.0.attentions.1.transformer_blocks.0.attn2.to_out.0.bias, down_blocks.0.attentions.1.transformer_blocks.0.norm2.weight, down_blocks.0.attentions.1.transformer_blocks.0.norm2.bias, down_blocks.1.attentions.0.transformer_blocks.0.attn2.to_q.weight, down_blocks.1.attentions.0.transformer_blocks.0.attn2.to_k.weight, down_blocks.1.attentions.0.transformer_blocks.0.attn2.to_v.weight, down_blocks.1.attentions.0.transformer_blocks.0.attn2.to_out.0.weight, down_blocks.1.attentions.0.transformer_blocks.0.attn2.to_out.0.bias, down_blocks.1.attentions.0.transformer_blocks.0.norm2.weight, down_blocks.1.attentions.0.transformer_blocks.0.norm2.bias, down_blocks.1.attentions.1.transformer_blocks.0.attn2.to_q.weight, down_blocks.1.attentions.1.transformer_blocks.0.attn2.to_k.weight, down_blocks.1.attentions.1.transformer_blocks.0.attn2.to_v.weight, down_blocks.1.attentions.1.transformer_blocks.0.attn2.to_out.0.weight, down_blocks.1.attentions.1.transformer_blocks.0.attn2.to_out.0.bias, down_blocks.1.attentions.1.transformer_blocks.0.norm2.weight, down_blocks.1.attentions.1.transformer_blocks.0.norm2.bias, down_blocks.2.attentions.0.transformer_blocks.0.attn2.to_q.weight, down_blocks.2.attentions.0.transformer_blocks.0.attn2.to_k.weight, 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up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_out.0.bias, up_blocks.1.attentions.2.transformer_blocks.0.norm2.weight, up_blocks.1.attentions.2.transformer_blocks.0.norm2.bias, up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_q.weight, up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_k.weight, up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_v.weight, up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_out.0.weight, up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_out.0.bias, up_blocks.2.attentions.0.transformer_blocks.0.norm2.weight, up_blocks.2.attentions.0.transformer_blocks.0.norm2.bias, up_blocks.2.attentions.1.transformer_blocks.0.attn2.to_q.weight, up_blocks.2.attentions.1.transformer_blocks.0.attn2.to_k.weight, up_blocks.2.attentions.1.transformer_blocks.0.attn2.to_v.weight, up_blocks.2.attentions.1.transformer_blocks.0.attn2.to_out.0.weight, up_blocks.2.attentions.1.transformer_blocks.0.attn2.to_out.0.bias, 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mid_block.attentions.0.transformer_blocks.0.attn2.to_q.weight, mid_block.attentions.0.transformer_blocks.0.attn2.to_k.weight, mid_block.attentions.0.transformer_blocks.0.attn2.to_v.weight, mid_block.attentions.0.transformer_blocks.0.attn2.to_out.0.weight, mid_block.attentions.0.transformer_blocks.0.attn2.to_out.0.bias, mid_block.attentions.0.transformer_blocks.0.norm2.weight, mid_block.attentions.0.transformer_blocks.0.norm2.bias, conv_norm_out.weight, conv_norm_out.bias, conv_out.weight, conv_out.bias']
AttributeError: 'float' object has no attribute 'rint'

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
File "C:\Users\Administrator.conda\envs\echo\lib\site-packages\numpy\core\fromnumeric.py", line 59, in _wrapfunc
return bound(*args, **kwds)
TypeError: loop of ufunc does not support argument 0 of type float which has no callable rint method

During handling of the above exception, another exception occurred:

AttributeError: 'float' object has no attribute 'rint'

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
File "H:\AIaudio_Live\EchoMimic\infer_audio2vid.py", line 243, in
main()
File "H:\AIaudio_Live\EchoMimic\infer_audio2vid.py", line 192, in main
xyxy = np.round(xyxy).astype('int')
File "C:\Users\Administrator.conda\envs\echo\lib\site-packages\numpy\core\fromnumeric.py", line 3360, in round
return _wrapfunc(a, 'round', decimals=decimals, out=out)
File "C:\Users\Administrator.conda\envs\echo\lib\site-packages\numpy\core\fromnumeric.py", line 68, in _wrapfunc
return _wrapit(obj, method, *args, **kwds)
File "C:\Users\Administrator.conda\envs\echo\lib\site-packages\numpy\core\fromnumeric.py", line 45, in _wrapit
result = getattr(asarray(obj), method)(*args, **kwds)
TypeError: loop of ufunc does not support argument 0 of type float which has no callable rint method
PS H:\AIaudio_Live\EchoMimic>

[yuange250]

确实给我也整不会了，我们用的numpy是1.23.0

[hotdogarea]

确实给我也整不会了，我们用的numpy是1.23.0

numpy解决后 现在出现 (*￣︶￣)
Traceback (most recent call last):
File "H:\AIaudio_Live\EchoMimic\infer_audio2vid.py", line 243, in
main()
File "H:\AIaudio_Live\EchoMimic\infer_audio2vid.py", line 187, in main
select_bbox = select_face(det_bboxes, probs)
File "H:\AIaudio_Live\EchoMimic\infer_audio2vid.py", line 66, in select_face
for bbox_i in range(len(det_bboxes)):
TypeError: object of type 'NoneType' has no len()

[yuange250]

187

你是不是在处理什么小猫脸或者小狗脸之类的😂这里是没有检测到人脸，换张图应该就好了

不过我处理人脸检测失败的逻辑有bug，感谢反馈