yscv

Umbrella crate that re-exports the entire yscv framework. One dependency gives you everything.

[dependencies]
yscv = "0.1.7"

use yscv::prelude::*;

let img = imread("photo.jpg")?;
let gray = rgb_to_grayscale(&img)?;
imwrite("gray.png", &gray)?;

Included Crates

The yscv workspace ships 16 library crates; this umbrella re-exports them all behind a single prelude:

Crate	What it does
`yscv-tensor`	115 `Tensor` ops, f32/f16/bf16, broadcasting, SIMD
`yscv-kernels`	CPU/GPU compute backends (61 WGSL + 4 Metal shaders, wgpu + metal-rs)
`yscv-autograd`	Tape-based reverse-mode autodiff with 61 `Op` variants
`yscv-optim`	8 optimizers (SGD/Adam/AdamW/RAdam/RmsProp/Adagrad/Lamb/Lars) + Lookahead, 11 LR schedulers
`yscv-model`	39 layer types, 17 loss functions, Trainer API, model zoo (17 architectures), LoRA
`yscv-imgproc`	160 image processing operations (NEON/AVX2/SSE/SSSE3 + scalar)
`yscv-video`	H.264/HEVC/AV1 decode (incl. hardware backends), MP4/MKV parse, camera I/O, audio metadata
`yscv-detect`	YOLOv8 + YOLOv11 detection, NMS, heatmaps, RoI align
`yscv-track`	DeepSORT, ByteTrack, Kalman filter, Hungarian, ReId
`yscv-recognize`	Cosine similarity, VP-Tree ANN, `Recognizer` enroll/match
`yscv-eval`	Classification/detection/tracking/regression metrics, 8 dataset adapters
`yscv-onnx`	128+ op ONNX CPU runtime, INT4/INT8 quantization, LLM generation, graph optimizer, Metal/MPSGraph backend
`yscv-pipeline`	TOML-driven multi-accelerator dispatch, RT scheduling, recovery
`yscv-video-mpp`	Rockchip MPP hardware encoder (H.264, H.265)
`yscv-cli`	CLI for inference, camera diagnostics, dataset evaluation
`yscv`	This umbrella crate (`prelude` + re-exports)