update dockerfile

.dockerignore

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+**

README.md

@@ -34,6 +34,7 @@ Prerequisites
 - `Python 3.6` 
 - ffmpeg: `sudo apt-get install ffmpeg`
 - Install necessary packages using `pip install -r requirements.txt`. Alternatively, instructions for using a docker image is provided [here](https://gist.github.com/xenogenesi/e62d3d13dadbc164124c830e9c453668). Have a look at [this comment](https://github.com/Rudrabha/Wav2Lip/issues/131#issuecomment-725478562) and comment on [the gist](https://gist.github.com/xenogenesi/e62d3d13dadbc164124c830e9c453668) if you encounter any issues. 
+    - Besides, there is also a updated dockerfile for RTX3090 GPU, see [dockerfile](./dockerfile).
 - Face detection [pre-trained model](https://www.adrianbulat.com/downloads/python-fan/s3fd-619a316812.pth) should be downloaded to `face_detection/detection/sfd/s3fd.pth`. Alternative [link](https://iiitaphyd-my.sharepoint.com/:u:/g/personal/prajwal_k_research_iiit_ac_in/EZsy6qWuivtDnANIG73iHjIBjMSoojcIV0NULXV-yiuiIg?e=qTasa8) if the above does not work.
 
 Getting the weights

dockerfile

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+FROM pytorch/pytorch:1.11.0-cuda11.3-cudnn8-devel
+RUN mkdir /workspace/Wav2Lip
+WORKDIR /workspace/Wav2Lip
+
+# uncomment this if you have trouble downloading packages
+# RUN rm /etc/apt/sources.list.d/cuda.list && \
+#     rm /etc/apt/sources.list.d/nvidia-ml.list && \
+#     sed -i "s@http://.*archive.ubuntu.com@https://mirrors.tuna.tsinghua.edu.cn@g" /etc/apt/sources.list && \
+#     sed -i "s@http://.*security.ubuntu.com@https://mirrors.tuna.tsinghua.edu.cn@g" /etc/apt/sources.list && \
+#     pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple
+
+RUN apt-get -y update --fix-missing && \
+    apt-get install -y libglib2.0-0 libxrender1 ffmpeg libsm6 && \
+    pip install librosa==0.7.0 opencv-contrib-python==4.6.0.66
+