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http_listener does not gracefully handle remotely-closed keepalive connections (Linux/ASIO)

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Similar question to issue [#592 http_client does not gracefully handle remotely-closed keepalive connections (Linux/ASIO) ](https://github.com/microsoft/cpprestsdk/issues/592) I used `http_listener` to start an https server with ssl config using ` web::http::experimental::listener::http_listener_config::set_ssl_context_callback`. When...

Does cpprest's http_listener have a mechanism to prevent DOS attacks?

Does cpprest's http_listener support http request traffic limit? just like python flask, which have flask_limiter.

The Windows version of Labelme v5.0.1 will crash abnormally when the dog.jpg picture below is opened.

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The Windows version of Labelme v5.0.1 will crash abnormally when the dog.jpg picture below is opened. [Labelme.exe v5.0.1](https://github.com/wkentaro/labelme/releases/download/v5.0.1/Labelme.exe) [dog.jpg](https://raw.githubusercontent.com/yangbohust/labelme_test_images/main/problematic_image/dog.jpg) This problem is very strange. I guess it is related to...

run `python demo.py -p MobileNetV3_large.pth` error

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I run `python demo.py -p MobileNetV3_large.pth` , got error, how can i fix it? ``` python demo.py -p MobileNetV3_large.pth C:\anaconda\envs\gestures2\lib\site-packages\torchvision\models\_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may...

How to push the output of a wav2lip model to an RTMP server?

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How to push the output of a [wav2lip model](https://github.com/Rudrabha/Wav2Lip) to an RTMP server using ffmpeg-python? The output of wav2lip is some original image data and an input audio file. The...

How to combine the produced pictures and input audio in real time to generate a video, instead of writing to a file and then using the ffmpeg command line interface...

ValueError: draft_choices was not cut enough / draft_len should not exceed 65

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I adapted the REST solution to the Qwen-7b model and encountered the following problem when testing it on the Human-eval data set: What may be the cause of this problem...

If I want to change REST code to support multi-batch inference, what needs to be changed?

I need to connect the REST scheme with the Transformers library. How can I support repetition_penalty parameter through the logits_processor interface? https://github.com/huggingface/transformers/blob/481a95781404e48b1c80940be17e8279dec82fe8/src/transformers/generation/utils.py#L1735-L1745 By the way, how to make REST support...