Update Dockerfile & Requirements

[SanBingYouYong]

Tested a new dockerfile set-up based on readme:install instructions.

Main changes: 11.3 instead of 11.7

#163 : specified numpy version 1.26.4 in requirements_113.txt so that 2.0 packages won't be automatically installed and cause compatibility issues.

From the updated readme:

• Dockerfile_113_clean is a new tested dockerfile that follows the readme instruction instead of the old Dockerfile, mainly it's based on CUDA 11.3 instead of 11.7. It relies on requirements_113.txt, with the only difference of specifying NumPy version 1.26.4 (tested), so that newest NumPy 2.* packages that has compatibility issues with other dependencies will not be installed automatically.
• Dockerfile_113_domestic includes tested alternative sources (channel/index) for users without a stable connection to official packages.
  • some credits go to discussions on issues like installing tensorflow-gpu from tsinghua pip mirror.
• The new dockerfile installs the dependencies into conda environment ernerf, and also you still need to download the required files below
  • some other weight files that will be downloaded at runtime (e.g. from huggingface or torch hub) can be manually downloaded and copy pasted following comments in the domestic dockerfile.