Perfect for those who want to level up from
print('Hello') to advanced projects.1. 30-Days-Of-Python — a 30-day Python challenge covering the basics of the language.
2. Python Basics — simple and clear Python basics for beginners.
3. Learn Python — a topic-based guide with examples and code.
4. Python Guide — best practices, tools, and advanced topics.
5. Learn Python 3 — an easy-to-understand guide to Python 3 with practice.
6. Python Programming Exercises — 100+ Python exercises.
7. Coding Problems — algorithmic problems, perfect for interview prep.
8. Project-Based-Learning — learn Python through real projects.
9. Projects — ideas for practical projects and skill improvement.
10. 100-Days-Of-ML-Code — a step-by-step guide to Machine Learning in Python.
11. TheAlgorithms/Python — a huge collection of algorithms in Python.
12. Amazing-Python-Scripts — useful scripts from automation to advanced utilities.
13. Geekcomputers/Python — a collection of practical scripts: networking, files, automation.
14. Materials — code, exercises, and projects from Real Python.
15. Awesome Python — a top list of the best frameworks and libraries.
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#python #doc #github #soft
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SVFR — a full-fledged framework for restoring faces in videos.
It can:
Essentially, the model takes old or damaged videos and makes them "as if they were shot yesterday". And it's free and open-source.
1. Create an environment
conda create -n svfr python=3.9 -y
conda activate svfr
2. Install PyTorch (for your CUDA)
pip install torch==2.2.2 torchvision==0.17.2 torchaudio==2.2.2
3. Install dependencies
pip install -r requirements.txt
4. Download models
conda install git-lfs
git lfs install
git clone https://huggingface.co/stabilityai/stable-video-diffusion-img2vid-xt models/stable-video-diffusion-img2vid-xt
5. Start processing videos
python infer.py \
--config config/infer.yaml \
--task_ids 0 \
--input_path input.mp4 \
--output_dir results/ \
--crop_face_region
Where task_ids:
*
0 — face enhancement*
1 — colorization*
2 — redrawing damageAn ideal tool if:
#python #soft #github
https://t.me/CodeProgrammer
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