Add FoundationPose dependencies, build nvdiffrast on HuggingFace with GPU

Implement real FoundationPose inference with model-based pose estimation

Fix Gradio binding to 0.0.0.0 for container accessibility

cleanup

Add pybind11-dev for mycpp build

Add Boost libraries for mycpp CMake build

Fix mycpp build: use CMake instead of setup.py

Reduce to single CUDA arch (7.5) and limit parallel jobs to reduce memory usage

Add python3.10-dev for C++ extension compilation

Optimized Docker build to fix OOM errors

Fix NumPy version and add CUDA compiler for C++ extensions

Optimized Docker build to fix OOM errors

Two-stage Docker build: base image + GPU compilation

Fix C++ standard and Eigen dependency for CUDA build

Fix CUDA architecture detection during build

Use regular install instead of editable for mycuda

Fix torch visibility during C++ extension build

Fix Dockerfile build errors and always use real model

Fix Dockerfile Python one-liner syntax error

Convert to Docker Space for FoundationPose C++ support

Add weight download on startup and clean up documentation

Remove invalid sdk_version from README frontmatter

Fix README.md frontmatter formatting

Convert to pure Gradio app for ZeroGPU compatibility

Remove Dockerfile - ZeroGPU Spaces use Python directly

Add GPU warmup function for ZeroGPU detection

Add @spaces.GPU decorators to Gradio wrapper functions

Fix ZeroGPU startup error by adding proper Gradio UI

Fix API endpoints with FastAPI integration

now with real weights

initial commit

initial commit