The project includes the implementation of a raytracer with capabilities for rendering scenes, handling intersections with various shapes, computing lighting using Phong reflection, handling shadows, and recursive ray tracing for reflective surfaces.

The provided framework loads scenes from a JSON configuration file and manages the output by generating a PNG image. The path to the configuration file should be passed to the program as an argument. Various test scenes are available in the subdirectory data/task1/. A successful execution generates a file named <config-name>.png in the output/task1/ directory.

The easiest way to set up the project is to build a Docker image based on the provided Dockerfile and to use it within an interactive session. The raytracer processes scenes from a JSON configuration file. Upon successful execution, it generates a PNG file representing the rendered scene.

$ docker build -t cgtask1 .

To list the JSON files:

$ ls data/task1/*.json | xargs -n1 basename

bunny.json
bunny_spotlight.json
cone_of_destiny.json
cone_shadow.json
cone_shadow_spotlights.json
cube_basic.json
dragon.json
ray_cube_basic.json
ray_cube_oriented.json
ray_cubes.json
ray_cubes_transformed.json
ray_cube_translated.json
ray_plane_basic.json
ray_planes_cone.json
three_cones.json
tumble.json
tumble_shadow.json
x-wing.json
x-wing_spotlight.json

Finally, use following command to generate the output using files above, for example:

$ docker run --rm -it -v "./output:/app-data/data/task1/output/task1" cgtask1 <file name>.json