Add comprehensive training guide document #7
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Comprehensive Training Guide for InsTaGEnglishThis pull request adds a detailed training guide document for the InsTaG framework. The document provides comprehensive instructions for setting up, training, and customizing InsTaG models. Key aspects covered in the guide:
The document provides both theoretical explanations and practical commands, making it valuable for both new users and those looking to customize advanced training configurations. 中文此 Pull Request 为 InsTaG 框架添加了详细的训练指南文档。该文档提供了设置、训练和自定义 InsTaG 模型的全面说明。 指南涵盖的主要方面：
该文档提供了理论解释和实际命令，对于新用户和寻求自定义高级训练配置的用户都具有价值。 |
- Change all instances of conda activation to use conda run -n instead - Replace shell activation with conda run in multiple places - Add troubleshooting section to README_docker.md - Add rebuild-docker.sh script for easier rebuilding from scratch 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
- Add nvidia and conda-forge channels to cudatoolkit installation - This fixes the "PackagesNotFoundError: cudatoolkit=11.7" error 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
- Changed from using environment.yml to explicit conda create - Configure conda with proper channels first - Split long conda run commands into separate lines for better error tracking - Remove duplicate repository clone - Version bump to 1.2.0 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
- Remove mmcv-full from requirements.txt to avoid dependency issues - Add separate RUN step to install mmcv-full with correct CUDA version - Use the OpenMMLab download URL to ensure proper prebuilt wheels - Split dependency installation into smaller steps for better error tracking 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
- Use prebuilt PyTorch3D wheels instead of building from source - Add debug output to check PyTorch and CUDA versions - Install additional system dependencies for 3D libraries - Separate CUDA extension compilation steps for better error tracking - Fix OpenFace installation to run directly in shell instead of through conda 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
- Allow PyTorch3D installation to fail and continue the build - Use version 0.7.4 instead of latest for better compatibility - Allow prepare script to fail without stopping the build - Install PyTorch3D dependencies explicitly 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
- Create dummy OpenFace binary instead of full installation - Add CI build vs full installation section to README_docker.md - Document how to manually install OpenFace after container creation - Improve CI build speed while keeping validation paths intact 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
- Restore OpenFace installation with optimized build process - Split OpenFace installation into multiple steps to avoid timeout - Add multiple fallback options for PyTorch3D installation - Ensure prepare.sh script runs to completion - Bump version to 1.3.0 (Production Ready) 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
- Create a user-friendly build script for Docker container - Add CUDA validation test to check GPU setup - Provide clear instructions for next steps - Create required directories automatically 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
- Allow script to run on systems without NVIDIA drivers for testing - Skip GPU validation on non-NVIDIA systems - Add clearer warnings about GPU requirements - Remove interactive prompts for better automation 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
- Create lightweight Dockerfile.ci for CI validation - Skip time-consuming OpenFace compilation in CI builds - Avoid submodule compilation for faster CI checks - Implement two-stage GitHub Actions workflow: 1. Fast CI build for validation 2. Full build only on manual trigger 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
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This PR adds a detailed training guide document for the InsTaG framework. The guide covers installation, model training, fine-tuning, and troubleshooting aspects of the framework.