| Crates.io | is-photo |
| lib.rs | is-photo |
| version | 0.1.1 |
| created_at | 2024-12-04 05:43:16.279146+00 |
| updated_at | 2024-12-04 05:45:40.217654+00 |
| description | Utility to determine if an image is likely a photograph or a 2D graphic |
| homepage | |
| repository | https://github.com/Lantern-chat/is-photo |
| max_upload_size | |
| id | 1471237 |
| size | 59,547 |
Utility to determine if an image is likely a photograph or a 2D graphic, such as a logo, illustration, or digital art.
It does this by taking various statistics from the image and running them through a pre-trained logistic regression model, along with a few sure-fire heuristics.
On my test set of around 1500 images, it has a 94% accuracy rate. Feel free to submit links to additional image sets to train on in an issue!
# fn main() -> Result<(), Box<dyn std::error::Error>> {
let img = image::open("test.jpg")?;
let analysis = is_photo::analyze(&img).expect("Failed to analyze image");
let is_photo = analysis.is_photo(&is_photo::STANDARD_MODEL);
# Ok(()) }
Future work may include training on a larger dataset, and possibly using a full neural network instead of logistic regression.