HPVM-CAVA

Harvard Camera Pipeline with HPVM intrinsics

Camera Pipeline

The camera pipeline is a simple five-stage image signal processor (ISP) which processes raw images (i.e., sensor inputs) into an image that can feed into a vision backend (e.g., a CNN).

See the original camera/vision pipeline repo (repo: yaoyuannnn/cava) for details on each stage.

How to Build and Test

After building HPVM, the following steps are required to build and run the camera pipeline:

1. Build with make TARGET=seq for CPU and make TARGET=gpu for gpu.
2. Run with ./cava-hpvm-<Target> example-tulip-small/raw_tulip-small.bin example-tulip-small/tulip-small.
   • <Target> can be either seq or gpu depending on what target is used to build.
   • This processes the raw image example-tulip-small/raw_tulip-small.bin. Note that raw images are different from bitmaps, so you might need to obtain them using special software.
   • This generates: tulip-small.bin and tulip-small-<stage>.bin where <stage> represents the stage of the pipeline.
3. Convert the binary outputs to a PNG with ./convert.sh example-tulip-small
4. View the resulting PNG at example-tulip-small/tulip-small.png. (As well as all the intermediary images for each stage tulip-small-<stage>.png)