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QR Code Detection Implementation and Add Tests #324
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[package] | ||
name = "kornia-qr" | ||
description = "QR code detection and decoding for kornia" | ||
version = "0.1.9-rc.2" | ||
edition = "2021" | ||
authors.workspace = true | ||
homepage.workspace = true | ||
license.workspace = true | ||
publish = true | ||
repository.workspace = true | ||
rust-version.workspace = true | ||
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[dependencies] | ||
kornia-tensor = { workspace = true } | ||
kornia-image = { workspace = true } | ||
kornia-imgproc = { workspace = true } | ||
image = "0.24" | ||
rqrr = "0.9" | ||
anyhow = "1.0" | ||
thiserror = { workspace = true } | ||
num-traits = { workspace = true } | ||
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[dev-dependencies] | ||
kornia-io = { workspace = true } | ||
criterion = { workspace = true } |
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//! QR code detection and decoding for kornia. | ||
//! | ||
//! This crate provides functionality to detect and decode QR codes in images. | ||
//! It uses the `rqrr` crate for actual QR decoding and integrates with | ||
//! kornia's tensor operations for image processing. | ||
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use anyhow::Result; | ||
use image::{GrayImage, ImageBuffer}; | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. no image crate |
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use kornia_image::Image; | ||
use kornia_tensor::{CpuAllocator, Tensor, TensorError}; | ||
use rqrr::PreparedImage; | ||
use thiserror::Error; | ||
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/// Error type for QR code detection and decoding operations. | ||
#[derive(Error, Debug)] | ||
pub enum QrError { | ||
/// Error converting tensor to image. | ||
#[error("Failed to convert tensor to image: {0}")] | ||
TensorConversionError(#[from] TensorError), | ||
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/// Error in QR decoding. | ||
#[error("Failed to decode QR code: {0}")] | ||
DecodingError(String), | ||
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/// Error in image processing. | ||
#[error("Image processing error: {0}")] | ||
ImageProcessingError(String), | ||
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/// No QR codes found in the image. | ||
#[error("No QR codes found in the image")] | ||
NoQrCodesFound, | ||
} | ||
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/// Result type for QR corners, representing the four corners of a detected QR code. | ||
pub type QrCorners = [[f32; 2]; 4]; | ||
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/// Information about a detected QR code. | ||
pub struct QrDetection { | ||
/// The decoded content of the QR code. | ||
pub content: String, | ||
/// The corner points of the QR code in the image. | ||
pub corners: QrCorners, | ||
/// The extracted and straightened grayscale image of the QR code. | ||
pub straightened: GrayImage, | ||
/// Error correction level of the QR code. | ||
pub ecc_level: u8, | ||
/// Masking pattern used in the QR code. | ||
pub mask: u8, | ||
/// Version of the QR code. | ||
pub version: u8, | ||
} | ||
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/// QR code detector and decoder. | ||
/// | ||
/// Provides methods to detect and decode QR codes in images represented as kornia tensors. | ||
pub struct QrDetector; | ||
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impl QrDetector { | ||
/// Detects and decodes QR codes in an input image tensor. | ||
/// | ||
/// # Arguments | ||
/// | ||
/// * `image` - Input image tensor in HWC format (height, width, channels). | ||
/// | ||
/// # Returns | ||
/// | ||
/// A vector of detected QR codes with their content, corner points, and other metadata. | ||
/// | ||
/// # Errors | ||
/// | ||
/// Returns an error if conversion, detection, or decoding fails. | ||
pub fn detect_and_decode( | ||
image: &Tensor<u8, 3, CpuAllocator>, | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. use directly Image<u8, 3> to avoid the conversion |
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) -> Result<Vec<QrDetection>, QrError> { | ||
// Convert the tensor to an image format that rqrr can process | ||
let grayscale = Self::tensor_to_grayscale(image)?; | ||
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// Prepare the image for QR detection | ||
let mut prepared = PreparedImage::prepare(grayscale.clone()); | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. no clone |
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// Detect QR codes | ||
let grids = prepared.detect_grids(); | ||
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if grids.is_empty() { | ||
return Err(QrError::NoQrCodesFound); | ||
} | ||
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// Process detected grids | ||
let mut detections = Vec::with_capacity(grids.len()); | ||
for grid in grids { | ||
// Extract corners | ||
let bounds = grid.bounds; | ||
let corners = [ | ||
[bounds[0].x as f32, bounds[0].y as f32], | ||
[bounds[1].x as f32, bounds[1].y as f32], | ||
[bounds[2].x as f32, bounds[2].y as f32], | ||
[bounds[3].x as f32, bounds[3].y as f32], | ||
]; | ||
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// Decode QR content | ||
let (meta, content) = match grid.decode() { | ||
Ok(result) => result, | ||
Err(e) => return Err(QrError::DecodingError(e.to_string())), | ||
}; | ||
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// Create detection result | ||
detections.push(QrDetection { | ||
content, | ||
corners, | ||
straightened: Self::extract_qr_image(&grayscale, &corners), | ||
ecc_level: meta.ecc_level as u8, | ||
mask: meta.mask as u8, | ||
version: 1, // Default to version 1 | ||
}); | ||
} | ||
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Ok(detections) | ||
} | ||
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/// Converts a kornia tensor to a grayscale image. | ||
/// | ||
/// # Arguments | ||
/// | ||
/// * `tensor` - Input image tensor in HWC format. | ||
/// | ||
/// # Returns | ||
/// | ||
/// A grayscale image. | ||
/// | ||
/// # Errors | ||
/// | ||
/// Returns an error if the conversion fails. | ||
fn tensor_to_grayscale(tensor: &Tensor<u8, 3, CpuAllocator>) -> Result<GrayImage, QrError> { | ||
let (height, width, channels) = (tensor.shape[0], tensor.shape[1], tensor.shape[2]); | ||
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// If the image is already grayscale, just convert directly | ||
if channels == 1 { | ||
let data = tensor.as_slice().to_vec(); | ||
return Ok( | ||
ImageBuffer::from_raw(width as u32, height as u32, data).ok_or_else(|| { | ||
QrError::ImageProcessingError("Failed to create image buffer".to_string()) | ||
})?, | ||
); | ||
} | ||
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// For RGB or RGBA images, convert to grayscale | ||
let mut gray_data = Vec::with_capacity(height * width); | ||
let data = tensor.as_slice(); | ||
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for y in 0..height { | ||
for x in 0..width { | ||
let offset = (y * width + x) * channels; | ||
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// Simple RGB to grayscale conversion (average method) | ||
let mut sum = 0; | ||
let mut count = 0; | ||
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// Sum up available channels (typically R, G, B) | ||
for c in 0..std::cmp::min(3, channels) { | ||
sum += data[offset + c] as u32; | ||
count += 1; | ||
} | ||
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// Calculate average and add to grayscale data | ||
let gray_value = if count > 0 { (sum / count) as u8 } else { 0 }; | ||
gray_data.push(gray_value); | ||
} | ||
} | ||
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Ok( | ||
ImageBuffer::from_raw(width as u32, height as u32, gray_data).ok_or_else(|| { | ||
QrError::ImageProcessingError("Failed to create grayscale image buffer".to_string()) | ||
})?, | ||
) | ||
} | ||
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/// Extracts a straightened image of the QR code region. | ||
/// | ||
/// This function performs a perspective transform to obtain a straightened view of the QR code. | ||
/// Note: This is a simplified version; in a production environment, you'd want to use | ||
/// kornia's perspective warping functionality once fully implemented. | ||
/// | ||
/// # Arguments | ||
/// | ||
/// * `image` - The grayscale input image. | ||
/// * `corners` - The four corners of the QR code. | ||
/// | ||
/// # Returns | ||
/// | ||
/// A straightened image of the QR code. | ||
fn extract_qr_image(_image: &GrayImage, _corners: &QrCorners) -> GrayImage { | ||
// This is a simplified placeholder implementation | ||
// In a complete implementation, use kornia's warp_perspective or similar function | ||
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// For now, we just create a small empty image | ||
// In real implementation, this would contain the warped QR code region | ||
let size = 100; // Fixed size for placeholder | ||
ImageBuffer::new(size, size) | ||
} | ||
} | ||
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/// Trait extension for Image to enable QR code detection. | ||
pub trait QrDetectionExt<T, const C: usize> { | ||
/// Detects and decodes QR codes in the image. | ||
/// | ||
/// # Returns | ||
/// | ||
/// A vector of detected QR codes with their content, corner points, and other metadata. | ||
/// | ||
/// # Errors | ||
/// | ||
/// Returns an error if conversion, detection, or decoding fails. | ||
fn detect_qr_codes(&self) -> Result<Vec<QrDetection>, QrError>; | ||
} | ||
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impl QrDetectionExt<u8, 3> for Image<u8, 3> { | ||
fn detect_qr_codes(&self) -> Result<Vec<QrDetection>, QrError> { | ||
QrDetector::detect_and_decode(self) | ||
} | ||
} | ||
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impl QrDetectionExt<u8, 1> for Image<u8, 1> { | ||
fn detect_qr_codes(&self) -> Result<Vec<QrDetection>, QrError> { | ||
// First convert grayscale image to a 3-channel tensor | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. use rgb_from_gray from here https://github.com/kornia/kornia-rs/blob/main/crates/kornia-imgproc/src/color/gray.rs#L134 |
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// where all 3 channels have the same grayscale value | ||
let (height, width) = (self.shape[0], self.shape[1]); | ||
let mut rgb_data = Vec::with_capacity(height * width * 3); | ||
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for pixel in self.as_slice() { | ||
rgb_data.push(*pixel); | ||
rgb_data.push(*pixel); | ||
rgb_data.push(*pixel); | ||
} | ||
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let rgb_tensor = Tensor::<u8, 3, CpuAllocator>::from_shape_vec( | ||
[height, width, 3], | ||
rgb_data, | ||
CpuAllocator, | ||
)?; | ||
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QrDetector::detect_and_decode(&rgb_tensor) | ||
} | ||
} | ||
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// Include the tests module | ||
#[cfg(test)] | ||
mod tests; | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. add this tests here to be more compact |
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#[cfg(test)] | ||
mod tests { | ||
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use crate::{QrDetectionExt, QrDetector}; | ||
use kornia_image::Image; | ||
use kornia_io::functional as F; | ||
use kornia_tensor::{CpuAllocator, Tensor}; | ||
use std::path::Path; | ||
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// Test QR code detection with a real image | ||
#[test] | ||
fn test_qr_detection() { | ||
// Load the test image with a QR code | ||
let test_img_path = Path::new("tests/data/qr/kornia.png"); | ||
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// Skip the test if the test image doesn't exist | ||
if !test_img_path.exists() { | ||
println!("Test image not found: {:?}", test_img_path); | ||
return; | ||
} | ||
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// Read the test image | ||
let image: Image<u8, 3> = match F::read_image_any_rgb8(test_img_path) { | ||
Ok(img) => img, | ||
Err(e) => { | ||
println!("Failed to read test image: {}", e); | ||
return; | ||
} | ||
}; | ||
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// Detect QR codes | ||
let detections = match image.detect_qr_codes() { | ||
Ok(dets) => dets, | ||
Err(e) => { | ||
println!("QR detection failed: {}", e); | ||
return; | ||
} | ||
}; | ||
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// Check that at least one QR code was detected | ||
assert!(!detections.is_empty(), "No QR codes were detected"); | ||
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// Check the content of the first QR code | ||
let expected_content = "https://kornia.org"; | ||
assert_eq!(detections[0].content, expected_content); | ||
} | ||
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// Test the grayscale conversion logic | ||
#[test] | ||
fn test_tensor_to_grayscale() { | ||
// Create a simple RGB tensor | ||
let width = 4; | ||
let height = 4; | ||
let channels = 3; | ||
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// Create RGB data where each pixel is (r, g, b) = (100, 150, 200) | ||
let mut rgb_data = Vec::with_capacity(width * height * channels); | ||
for _ in 0..(width * height) { | ||
rgb_data.push(100); // R | ||
rgb_data.push(150); // G | ||
rgb_data.push(200); // B | ||
} | ||
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// Create a tensor | ||
let tensor = Tensor::<u8, 3, CpuAllocator>::from_shape_vec( | ||
[height, width, channels], | ||
rgb_data, | ||
CpuAllocator, | ||
) | ||
.unwrap(); | ||
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// Convert to grayscale | ||
let grayscale = QrDetector::tensor_to_grayscale(&tensor).unwrap(); | ||
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// Check dimensions | ||
assert_eq!(grayscale.width(), width as u32); | ||
assert_eq!(grayscale.height(), height as u32); | ||
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// For RGB (100, 150, 200), the average is 150 | ||
for pixel in grayscale.pixels() { | ||
assert_eq!(pixel[0], 150); | ||
} | ||
} | ||
} |
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@@ -20,3 +20,6 @@ pub use kornia_3d as k3d; | |
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#[doc(inline)] | ||
pub use kornia_icp as icp; | ||
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#[doc(inline)] | ||
pub use kornia_qr as qr; |
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[package] | ||
name = "qr_detector" | ||
version = "0.1.0" | ||
edition = "2021" | ||
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# See more keys and their definitions at https://doc.rust-lang.org/cargo/reference/manifest.html | ||
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[dependencies] | ||
kornia = { path = "../../crates/kornia" } | ||
anyhow = "1.0" |
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use thiserror only