airhandsome
airhandsome
I try to get the 264 raw stream and play it on the browser. But something error occured as I said. I saved the stream to an 264 file and...
when I have finished training the model. As your code shows, the model was save as pkl type. And when I load the load_state_dict(), the key could not compatible. like...
因为台式机没有摄像头。所以我直接用本地的h264文件推流。 先node运行了jsmpeg里面的server,然后用 ` ffmpeg -re -i out.h264 -q 0 -f mpegts -codec:v mpeg1video -s 1000x600 -r 30 http://localhost:9999/push/test` 将out.h264文件推上去了。但是不管是broadway还是Jsmpeg都画不出东西。调试时发现数据确实收到了。是不是解码有问题。想请教。
the dataloaditer is out of date in pytorch1.0, how should I rewrite it or do something to instead? I use the dataloadFolder instead without pair, but the network seems didn't...
I have seen the scrcpy source code which support the audio. Can you support it? It seems the mediaCodec encode the aac to raw opus byte, but I don't know...
本地terminal, 没有任何报错,最后显示如下 ============== p_blocks.3.attentions.1.transformer_blocks.0.attn2.to_out.0.weight, up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_out.0.bias, up_blocks.3.attentions.1.transformer_blocks.0.norm2.weight, up_blocks.3.attentions.1.transformer_blocks.0.norm2.bias, up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_q.weight, up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_k.weight, up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_v.weight, up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_out.0.weight, up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_out.0.bias, up_blocks.3.attentions.2.transformer_blocks.0.norm2.weight, up_blocks.3.attentions.2.transformer_blocks.0.norm2.bias, 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'] Running on local URL: http://0.0.0.0:3000...