Rewrote the readme to clearyfy the wibecoded nature of this script and

made it more concise. Fixed licencing. Added a wiki.

wiki/Getting-Started.md

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+# Getting Started
+
+## Prerequisites
+
+- A **Rust toolchain** (`cargo`, `rustc`).
+- **`ffmpeg` / `ffprobe`** on `PATH` — video decode shells out to the CLI and
+  pipes raw frames; no native FFmpeg bindings or dev headers are needed.
+- A GPU with a **WebGPU backend** — Vulkan (Linux/Windows), Metal (macOS),
+  DX12 (Windows), or WebGPU/wasm. On Linux, RADV (Mesa) or AMDVLK works.
+- For the **masks** stage: an **ONNX** export of a YOLO segmentation model
+  (e.g. `yolo11x-seg.onnx`). The `.pt` is not loadable in Rust:
+
+  ```bash
+  yolo export model=yolo11x-seg.pt format=onnx imgsz=1280 dynamic=True
+  ```
+
+## Build
+
+Masks are enabled by default, so a plain build is the full pipeline:
+
+```bash
+cargo build
+```
+
+Lighter build without ONNX Runtime (no masks stage):
+
+```bash
+cargo build --no-default-features
+```
+
+Build with the native GUI:
+
+```bash
+cargo build --features gui
+```
+
+## First run (sanity check)
+
+```bash
+cargo run -- rig --self-test    # 6 check groups; should pass
+```
+
+## First real run
+
+```bash
+cargo run -- all --project-dir out --video day1.mp4 \
+    --mask-model yolo11x-seg.onnx --mask-device rocm --mask-imgsz 1280
+```
+
+- `--mask-device rocm` runs YOLO on an AMD GPU (see [GPU](GPU.md)); use `cpu`
+  if you don't have the ROCm/MIGraphX runtime.
+- The first GPU masks run compiles the model (slow); later runs are fast (see
+  the cache note in [GPU](GPU.md)).