From ea023a8c39cd32681d578c02c7bb9aa68b9bba28 Mon Sep 17 00:00:00 2001 From: teridax <72654954+Servostar@users.noreply.github.com> Date: Thu, 15 Jun 2023 15:24:54 +0000 Subject: [PATCH 1/7] Create LICENSE @flixm16 and @Servostar decided on GPLv2 as license. --- LICENSE | 339 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 339 insertions(+) create mode 100644 LICENSE diff --git a/LICENSE b/LICENSE new file mode 100644 index 0000000..d159169 --- /dev/null +++ b/LICENSE @@ -0,0 +1,339 @@ + GNU GENERAL PUBLIC LICENSE + Version 2, June 1991 + + Copyright (C) 1989, 1991 Free Software Foundation, Inc., + 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA + Everyone is permitted to copy and distribute verbatim copies + of this license document, but changing it is not allowed. + + Preamble + + The licenses for most software are designed to take away your +freedom to share and change it. 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It is safest +to attach them to the start of each source file to most effectively +convey the exclusion of warranty; and each file should have at least +the "copyright" line and a pointer to where the full notice is found. + + + Copyright (C) + + This program is free software; you can redistribute it and/or modify + it under the terms of the GNU General Public License as published by + the Free Software Foundation; either version 2 of the License, or + (at your option) any later version. + + This program is distributed in the hope that it will be useful, + but WITHOUT ANY WARRANTY; without even the implied warranty of + MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + GNU General Public License for more details. + + You should have received a copy of the GNU General Public License along + with this program; if not, write to the Free Software Foundation, Inc., + 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. + +Also add information on how to contact you by electronic and paper mail. + +If the program is interactive, make it output a short notice like this +when it starts in an interactive mode: + + Gnomovision version 69, Copyright (C) year name of author + Gnomovision comes with ABSOLUTELY NO WARRANTY; for details type `show w'. + This is free software, and you are welcome to redistribute it + under certain conditions; type `show c' for details. + +The hypothetical commands `show w' and `show c' should show the appropriate +parts of the General Public License. Of course, the commands you use may +be called something other than `show w' and `show c'; they could even be +mouse-clicks or menu items--whatever suits your program. + +You should also get your employer (if you work as a programmer) or your +school, if any, to sign a "copyright disclaimer" for the program, if +necessary. Here is a sample; alter the names: + + Yoyodyne, Inc., hereby disclaims all copyright interest in the program + `Gnomovision' (which makes passes at compilers) written by James Hacker. + + , 1 April 1989 + Ty Coon, President of Vice + +This General Public License does not permit incorporating your program into +proprietary programs. If your program is a subroutine library, you may +consider it more useful to permit linking proprietary applications with the +library. If this is what you want to do, use the GNU Lesser General +Public License instead of this License. From d83c89c8f04d6ff92221529a570e6fe58d9b3c5f Mon Sep 17 00:00:00 2001 From: teridax <72654954+Servostar@users.noreply.github.com> Date: Sat, 17 Jun 2023 20:02:27 +0000 Subject: [PATCH 2/7] Image loader (#46) * imageLoader branch created imageLoader file created imageLoader function created (placeholder) included imageLoader into lib.rs added a new folder with 2 test img * added the decoder and began to configure it created new variables and initiated them with calues from the .info added some questions * added Debug to the the derive at the image mod.rs added a few more test pngs added functionality to the function imageLoader added four functions which decode the IDAT chunk into the correspondig rgba values added test functions added documentation --------- Co-authored-by: Schwingel0206 Co-authored-by: Schwingel0206 <132705455+Schwingel0206@users.noreply.github.com> --- src/image/mod.rs | 5 +- src/image_loader/mod.rs | 343 +++++++++++++++++++++++++ src/lib.rs | 1 + test_img/gray_image.png | Bin 0 -> 258 bytes test_img/hut.png | Bin 0 -> 1625631 bytes test_img/indexed_image.png | Bin 0 -> 711 bytes test_img/red_image.png | Bin 0 -> 539 bytes test_img/rot.png | Bin 0 -> 540 bytes test_img/town_blue.png | Bin 0 -> 1236422 bytes test_img/wrong colorspace_bitdepth.png | Bin 0 -> 1614464 bytes test_img/wrong pixel count.png | Bin 0 -> 1626172 bytes test_img/wrong size.png | Bin 0 -> 1614464 bytes 12 files changed, 348 insertions(+), 1 deletion(-) create mode 100644 src/image_loader/mod.rs create mode 100644 test_img/gray_image.png create mode 100644 test_img/hut.png create mode 100644 test_img/indexed_image.png create mode 100644 test_img/red_image.png create mode 100644 test_img/rot.png create mode 100644 test_img/town_blue.png create mode 100644 test_img/wrong colorspace_bitdepth.png create mode 100644 test_img/wrong pixel count.png create mode 100644 test_img/wrong size.png diff --git a/src/image/mod.rs b/src/image/mod.rs index e38ce21..467133f 100644 --- a/src/image/mod.rs +++ b/src/image/mod.rs @@ -40,7 +40,7 @@ pub trait Sample: Into + PartialEq + Default + Copy + From + PartialOrd impl + PartialEq + Default + Copy + From + PartialOrd> Sample for T {} #[allow(unused)] -#[derive(Default)] +#[derive(Default, Debug)] pub struct Image where T: Sample, @@ -91,6 +91,9 @@ where pub fn path(&self) -> &PathBuf { &self.path } + pub fn pixels(&self) -> &Vec<(T, T, T, T)> { + &self.pixels + } /// Returns the iterator of the pixels vector pub fn iter(&self) -> Iter<'_, (T, T, T, T)> { diff --git a/src/image_loader/mod.rs b/src/image_loader/mod.rs new file mode 100644 index 0000000..c3625bd --- /dev/null +++ b/src/image_loader/mod.rs @@ -0,0 +1,343 @@ +use crate::image::Image; +use png::BitDepth; +use std::fs::File; +use std::path::Path; + +///# Image Loader +/// The image_loader function is a function which can use a path of an image to return some Metadata from the image.
+///It can also retrieve the rgba values of every pixel from the image and the path.
+///
+///# IMPORTANT
+/// Doesn't support pictures with the color type indexed!
+///
+///# Parameter +///The function has the parameter path with the type &Path.
+///
+///# Return variables +///The return value is a struct which includes four variables.
+///1. width [u32]: width contains the number of pixels in a row of the given png.
+///2. height [u32]: height contains the height of the picture in measured pixels.
+///3. pixel_vec [Vec<(f32, f32, f32, f32)>]: pixel_vec contains the rgba values of every pixel in the picture, saved in a vec themselves.
+///4. path [path.to_path_buf()]: is the path from the parameter.
+pub fn image_loader(path: &Path) -> Result, &'static str> { + let decoder = match File::open(path) { + Ok(file) => png::Decoder::new(file), + Err(_) => return Err("failed the decoder"), + }; + + let mut reader = match decoder.read_info() { + Ok(reader) => reader, + Err(_) => return Err("Failed to read PNG info"), + }; + + let mut buf = vec![0; reader.output_buffer_size()]; + + let info = match reader.next_frame(&mut buf) { + Ok(info) => info, + Err(_) => return Err("Failed to read PNG frame"), + }; + + let bit_depth = reader.info().bit_depth; + let color_type = reader.info().color_type; + let width = reader.info().width; + let height = reader.info().height; + let palette = &reader.info().palette; + + let idat = &buf[..info.buffer_size()]; + + println!("idat {:?} idat ", idat); + println!("palette {:?} palette", palette); + println!("depth {:?} depth", bit_depth); + + let pixel_vec = match color_type { + png::ColorType::Grayscale => grayscale_to_rgba(idat, bit_depth), + png::ColorType::GrayscaleAlpha => grayscale_alpha_to_rgba(idat, bit_depth), + png::ColorType::Rgb => rgb_to_rgba(idat, bit_depth), + png::ColorType::Rgba => decode_rgba(idat, bit_depth), + _ => panic!("Unsupported color type or bit depth"), + }?; + + let image: Image = Image::new( + width as usize, + height as usize, + pixel_vec, + path.to_path_buf(), + ); + + Ok(image) +} + +///# Grayscale to RGBA +///The grayscale_to_rgba function converts a IDAT chunk from an picture with the color type grayscale and the bit depth into an RGBA value.
+///
+///# Parameter +///The function has the following two parameters:
+///1. IDAT [&[u8]]: This array cointans the IDAT chunk of the given image.
+///2. bit_depth [BitDepth]: This variable contains the bit depth of the given image.
+///
+///# Return variables +///This function returns a vector filled with vectors filled with four [f32] variables, which are the RGBA values.
+///Also this function sets the alpha channel of the RGBA value to 255. +fn grayscale_to_rgba( + idat: &[u8], + bit_depth: BitDepth, +) -> Result, &'static str> { + let mut rgba_values = Vec::new(); + + let max_value: u32 = (1 << bit_depth as u32) - 1; + + for byte in idat { + let grayscale = match bit_depth { + BitDepth::One => ((*byte & 0x01) as u32 * max_value) as f32, + BitDepth::Two => ((*byte & 0x03) as u32 * max_value / 3) as f32, + BitDepth::Four => ((*byte & 0x0F) as u32 * max_value / 15) as f32, + BitDepth::Eight => *byte as f32, + BitDepth::Sixteen => ((*byte as u32 * 255) / max_value) as f32, + }; + + let rgba = (grayscale, grayscale, grayscale, 255_f32); + rgba_values.push(rgba); + } + + Ok(rgba_values) +} + +///# Grayscale Alpha to RGBA +///The grayscale_alpha_to_rgba function converts a IDAT chunk from a picture with the color type grayscale alpha and the bit depth into an RGBA value.
+///
+///# Parameter +///The function has the following two parameters:
+///1. IDAT [&[u8]]: This array contains the IDAT chunk of the given image.
+///2. bit_depth [BitDepth]: This variable contains the bit depth of the given image.
+///
+///# Return variables +///This function returns a vector filled with vectors filled with four [f32] variables, which are the RGBA values. +fn grayscale_alpha_to_rgba( + idat: &[u8], + bit_depth: BitDepth, +) -> Result, &'static str> { + let mut rgba_values = Vec::new(); + + let chunk_size; + + if bit_depth == BitDepth::Eight { + chunk_size = 2; + } else if bit_depth == BitDepth::Sixteen { + chunk_size = 4; + } else { + return Err("Invalid Bit Depth"); + } + + for pair in idat.chunks(chunk_size) { + if pair.len() < 2 { + return Err("Insufficient data"); + } + + let grayscale = match bit_depth { + BitDepth::Eight => pair[0] as f32, + BitDepth::Sixteen => ((pair[0] as u16) << 8 | pair[1] as u16) as f32, + _ => return Err("Unsupported bit depth"), + }; + + let alpha = match bit_depth { + BitDepth::Eight => pair[1] as f32, + BitDepth::Sixteen => ((pair[2] as u16) << 8 | pair[3] as u16) as f32, + _ => return Err("Unsupported bit depth"), + }; + + let rgba = (grayscale, grayscale, grayscale, alpha); + rgba_values.push(rgba); + } + + Ok(rgba_values) +} + +///# RGB to RGBA +///The tgb_to_rgba function converts a IDAT chunk from a picture with the color type rgb and the bit depth into an RGBA value.
+///
+///# Parameter +///The function has the following two parameters:
+///1. IDAT [&[u8]]: This array contains the IDAT chunk of the given image.
+///2. bit_depth [BitDepth]: This variable contains the bit depth of the given image.
+///
+///# Return variables +///This function returns a vector filled with vectors filled with four [f32] variables, which are the RGBA values. +///Also this function sets the alpha channel of the RGBA value to 255. +fn rgb_to_rgba( + idat: &[u8], + bit_depth: BitDepth, +) -> Result, &'static str> { + let mut rgba_values = Vec::new(); + + let chunk_size; + if bit_depth == BitDepth::Eight { + chunk_size = 3; + } else if bit_depth == BitDepth::Sixteen { + chunk_size = 6; + } else { + return Err("Invalid Bit Depth"); + } + + for group in idat.chunks(chunk_size) { + if group.len() < 3 { + return Err("Insufficient data"); + } + + let red = match bit_depth { + BitDepth::Eight => group[0] as f32, + BitDepth::Sixteen => ((group[0] as u16) << 8 | group[1] as u16) as f32, + _ => return Err("Unsupported bit depth"), + }; + + let green = match bit_depth { + BitDepth::Eight => group[1] as f32, + BitDepth::Sixteen => ((group[2] as u16) << 8 | group[3] as u16) as f32, + _ => return Err("Unsupported bit depth"), + }; + + let blue = match bit_depth { + BitDepth::Eight => group[2] as f32, + BitDepth::Sixteen => ((group[4] as u16) << 8 | group[5] as u16) as f32, + _ => return Err("Unsupported bit depth"), + }; + + let rgba = (red, green, blue, 255_f32); + rgba_values.push(rgba); + } + + Ok(rgba_values) +} + +///# Decode RGBA +///The decode_rgba function converts a IDAT chunk from a picture with the color type rgba and the bit depth into an RGBA value.
+///
+///# Parameter +///The function has the following two parameters:
+///1. IDAT [&[u8]]: This array contains the IDAT chunk of the given image.
+///2. bit_depth [BitDepth]: This variable contains the bit depth of the given image.
+///
+///# Return variables +///This function returns a vector filled with vectors filled with four [f32] variables, which are the RGBA values. +fn decode_rgba( + idat: &[u8], + bit_depth: BitDepth, +) -> Result, &'static str> { + let mut rgba_values = Vec::new(); + + let chunk_size; + if bit_depth == BitDepth::Eight { + chunk_size = 4; + } else if bit_depth == BitDepth::Sixteen { + chunk_size = 8; + } else { + return Err("Invalid Bit Depth"); + } + + for group in idat.chunks(chunk_size) { + if group.len() < 4 { + return Err("Insufficient data"); + } + + let red = match bit_depth { + BitDepth::Eight => group[0] as f32, + BitDepth::Sixteen => ((group[0] as u16) << 8 | group[1] as u16) as f32, + _ => return Err("Unsupported bit depth"), + }; + + let green = match bit_depth { + BitDepth::Eight => group[1] as f32, + BitDepth::Sixteen => ((group[2] as u16) << 8 | group[3] as u16) as f32, + _ => return Err("Unsupported bit depth"), + }; + + let blue = match bit_depth { + BitDepth::Eight => group[2] as f32, + BitDepth::Sixteen => ((group[4] as u16) << 8 | group[5] as u16) as f32, + _ => return Err("Unsupported bit depth"), + }; + + let alpha = match bit_depth { + BitDepth::Eight => group[3] as f32, + BitDepth::Sixteen => ((group[6] as u16) << 8 | group[7] as u16) as f32, + _ => return Err("Unsupported bit depth"), + }; + + let rgba = (red, green, blue, alpha); + rgba_values.push(rgba); + } + + Ok(rgba_values) +} + +#[cfg(test)] +mod test { + use std::path::PathBuf; + + use super::*; + + #[test] + fn test_image_loader() { + let path = Path::new("test_img/red_image.png"); + let test = image_loader(path); + + let image = Image::new( + 4, + 4, + vec![ + (255., 0., 0., 255.), + (0., 255., 0., 255.), + (0., 0., 255., 255.), + (255., 255., 255., 255.), + (127., 127., 127., 255.), + (0., 255., 255., 255.), + (255., 255., 0., 255.), + (255., 0., 0., 255.), + (127., 127., 127., 255.), + (255., 0., 255., 255.), + (255., 0., 0., 255.), + (255., 0., 0., 255.), + (255., 0., 0., 255.), + (255., 0., 0., 255.), + (255., 0., 0., 255.), + (0., 0., 0., 255.), + ], + PathBuf::default(), + ); + + assert_eq!(test.unwrap().pixels(), image.pixels()) + } + + #[test] + #[should_panic] + fn test_wrong_img() { + let path = Path::new("test_img/wrong pixel count.png"); + let test = image_loader(path); + + let image = Image::new( + 4, + 4, + vec![ + (255., 0., 0., 255.), + (255., 0., 0., 255.), + (255., 0., 0., 255.), + (255., 0., 0., 255.), + (255., 0., 0., 255.), + (255., 0., 0., 255.), + (255., 0., 0., 255.), + (255., 0., 0., 255.), + (255., 0., 0., 255.), + (255., 0., 0., 255.), + (255., 0., 0., 255.), + (255., 0., 0., 255.), + (255., 0., 0., 255.), + (255., 0., 0., 255.), + (255., 0., 0., 255.), + (255., 0., 0., 255.), + ], + PathBuf::default(), + ); + + //should panic because we are looking at a corrupt picture + assert_eq!(test.unwrap().pixels(), image.pixels()) + } +} diff --git a/src/lib.rs b/src/lib.rs index 2b26d05..38383f3 100644 --- a/src/lib.rs +++ b/src/lib.rs @@ -1,6 +1,7 @@ extern crate core; pub mod image; +pub mod image_loader; pub mod multithreading; pub fn add(left: usize, right: usize) -> usize { diff --git a/test_img/gray_image.png b/test_img/gray_image.png new file mode 100644 index 0000000000000000000000000000000000000000..fb26f09f6e6ce5255e510e746134e66961675dda GIT binary patch literal 258 zcmeAS@N?(olHy`uVBq!ia0vp^EFjDQBp7;T9b5#Yn3BBRT^Rni_n+Ah4nJ z=qZCRW5rVYGN2%PiKnkC`*Suy0SO-S-^Pc4Lb9GNjv*Y^lMQaGeVKnU_{B6!Zs)_+ zY|q}`m-J&~aDB`^Gi%LmU7$j>64!{5%;aRNx9=D!63RK7sQW%n1l9S3% bl$sKsnVXoNsw%hu}Fu_4IQ07Q(w62 zdR%PTlJ9k4*Jquj7mkJ9i(dNY>enltz?SdWwR+u|$9Mnsa{+AjuJibkT>9uh>>pDP z^G=q@n(p2CWU*zcHD}ZJ7`S2>#U4}$Apx4G@xfO}q0ZmvM`m02Z?@}ub>^#>UoB4DIi)|(c?5;@?*IZA;#K%k|owb)e^?XIGRyAB|oyY)U%)(Es@0TAiye z7%#3b{kvyn{Ha}_jkiBYj!y06=$+L0aCoPb!N_S$vD5e4acfVq$NP@6+M}l8u#nq&gnc{u6%}ED=-0l=(E7|pzDoj^T)W)7#^bxn)p4>-ly++skb1x9%a+E?fZk?)DHbecY4=x)}0T%^!6FFV_kCi&SbOY zdA}bV+51O{uISiNba?&Gn-$kD$vQbjQwZ=NkP>zx*F;d-lZc 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Benachmarking funcitonality for [Criterion.rs](https://github.com/bheisler/criterion.rs) -//! This benchmark will compare the performance of various thread pools launched with different amounts of -//! maximum threads. -//! Each thread will calculate a partial dot product of two different vectors composed of 1,000,000 64-bit -//! double precision floating point values. +//! This module provides the functionality to create thread pool to execute tasks in parallel. +//! The amount of threads to be used at maximum can be regulated by using `ThreadPool::with_limit`. +//! This implementation is aimed to be of low runtime cost with minimal sychronisation due to blocking. +//! Note that no threads will be spawned until jobs are supplied to be executed. For every supplied job +//! a new thread will be launched until the maximum number is reached. By then every launched thread will +//! be reused to process the remaining elements of the queue. If no jobs are left to be executed +//! all threads will finish and die. This means that if nothing is done, no threads will run in idle in the background. +//! # Example +//! ```rust +//! # use imsearch::multithreading::ThreadPool; +//! # use imsearch::multithreading::Task; +//! let mut pool = ThreadPool::with_limit(2); +//! +//! for i in 0..10 { +//! pool.enqueue(Task::new(i, |i| i)); +//! // ^^^^^^ closure or static function +//! } +//! +//! pool.join_all(); +//! assert_eq!(pool.get_results().iter().sum::(), 45); +//! ``` -use std::sync::Arc; +use std::{ + any::Any, + collections::VecDeque, + num::NonZeroUsize, + sync::{ + mpsc::{channel, Receiver, Sender}, + Arc, Mutex, + }, + thread::{self, JoinHandle}, +}; -use criterion::{black_box, criterion_group, criterion_main, BenchmarkId, Criterion, Throughput}; -use imsearch::multithreading::{Task, ThreadPool}; +/// Default number if threads to be used in case [`std::thread::available_parallelism`] fails. +pub const DEFAULT_THREAD_POOL_SIZE: usize = 1; -/// Amount of elements per vector used to calculate the dot product -const VEC_ELEM_COUNT: usize = 1_000_000; -/// Number of threads to test -const THREAD_COUNTS: [usize; 17] = [ - 1, 2, 4, 6, 8, 10, 12, 16, 18, 20, 22, 26, 28, 32, 40, 56, 64, -]; -/// seeds used to scramble up the values produced by the hash function for each vector -/// these are just some pseudo random numbers -const VEC_SEEDS: [u64; 2] = [0xa3f8347abce16, 0xa273048ca9dea]; +/// Indicates the priority level of functions or closures which get supplied to the pool. +/// Use [`Priority::High`] to ensure the closue to be executed before all closures that are already supplied +/// Use [`Priority::Low`] to ensure the closue to be executed after all closures that are already supplied +#[derive(Debug, Copy, Clone, Hash, PartialEq, Eq, PartialOrd, Ord)] +pub enum Priority { + /// Indicate that the closure or function supplied to the thread + /// has higher priority than any other given to the pool until now. + /// The item will get enqueued at the start of the waiting-queue. + High, + /// Indicate that the closure or function supplied to the thread pool + /// has lower priority than the already supplied ones in this pool. + /// The item will get enqueued at the end of the waiting-queue. + Low, +} -/// Compute the dot product of two vectors -/// # Panics -/// this function assumes both vectors to be of exactly the same length. -/// If this is not the case the function will panic. -fn dot(a: &[f64], b: &[f64]) -> f64 { - let mut sum = 0.0; +/// Traits a return value has to implement when being given back by a function or closure. +pub trait Sendable: Any + Send + 'static {} - for i in 0..a.len() { - sum += a[i] * b[i]; +impl Sendable for T where T: Any + Send + 'static {} + +/// A task that will be executed at some point in the future by the thread pool +/// At the heart of this struct is the function to be executed. This may be a closure. +#[derive(Debug, Copy, Clone)] +pub struct Task +where + I: Sendable, + T: Sendable, +{ + job: fn(I) -> T, + param: I, +} + +impl Task +where + I: Sendable, + T: Sendable, +{ + pub fn new(param: I, job: fn(I) -> T) -> Self { + Self { job, param } + } +} + +/// Thread pool which can be used to execute functions or closures in parallel. +/// The amount of threads to be used at maximum can be regulated by using `ThreadPool::with_limit`. +/// This implementation is aimed to be of low runtime cost with minimal sychronisation due to blocking. +/// Note that no threads will be spawned until jobs are supplied to be executed. For every supplied job +/// a new thread will be launched until the maximum number is reached. By then every launched thread will +/// be reused to process the remaining elements of the queue. If no jobs are left to be executed +/// all threads will finish and die. This means that if nothing is done, no threads will run in idle in the background. +/// # Example +/// ```rust +/// # use imsearch::multithreading::ThreadPool; +/// # use imsearch::multithreading::Task; +/// let mut pool = ThreadPool::with_limit(2); +/// +/// for i in 0..10 { +/// pool.enqueue(Task::new(i, |i| i)); +/// } +/// +/// pool.join_all(); +/// assert_eq!(pool.get_results().iter().sum::(), 45); +/// ``` +/// # Drop +/// This struct implements the `Drop` trait. Upon being dropped the pool will wait for all threads +/// to finsish. This may take up an arbitrary amount of time. +/// # Panics in the thread +/// When a function or closure panics, the executing thread will detect the unwind performed by `panic` causing the +/// thread to print a message on stderr. The thread itself captures panics and won't terminate execution but continue with +/// the next task in the queue. +/// Its not recommend to use this pool with custom panic hooks or special functions which abort the process. +/// Also panicking code from external program written in C++ or others in undefinied behavior according to [`std::panic::catch_unwind`] +#[derive(Debug)] +pub struct ThreadPool +where + I: Sendable, + T: Sendable, +{ + /// queue for storing the jobs to be executed + queue: Arc>>>, + /// handles for all threads currently running and processing jobs + handles: Vec>, + /// reciver end for channel based communication between threads + receiver: Receiver, + /// sender end for channel based communication between threads + sender: Sender, + /// maximum amount of threads to be used in parallel + limit: NonZeroUsize, +} + +impl Default for ThreadPool +where + I: Sendable, + T: Sendable, +{ + fn default() -> Self { + let (sender, receiver) = channel::(); + + // determine default thread count to use based on the system + let default = + NonZeroUsize::new(DEFAULT_THREAD_POOL_SIZE).expect("Thread limit must be non-zero"); + let limit = thread::available_parallelism().unwrap_or(default); + + Self { + queue: Arc::new(Mutex::new(VecDeque::new())), + handles: Vec::new(), + receiver, + sender, + limit, + } + } +} + +impl ThreadPool +where + I: Sendable, + T: Sendable, +{ + /// Creates a new thread pool with default thread count determined by either + /// [`std::thread::available_parallelism`] or [`DEFAULT_THREAD_POOL_SIZE`] in case it fails. + /// No threads will be lauched until jobs are enqueued. + pub fn new() -> Self { + Default::default() } - sum -} - -/// Computes the dot product using a thread pool with varying number of threads. The vectors will be both splitted into equally -/// sized slices which then get passed ot their own thread to compute the partial dot product. After all threads have -/// finished the partial dot products will be summed to create the final result. -fn dot_parallel(a: Arc>, b: Arc>, threads: usize) { - let mut pool = ThreadPool::with_limit(threads); - - // number of elements in each vector for each thread - let steps = a.len() / threads; - - for i in 0..threads { - // offset of the first element for the thread local vec - let chunk = i * steps; - // launch a new thread - pool.enqueue(Task::new( - (chunk, steps, a.clone(), b.clone()), - |(block, inc, a, b)| { - let a = &a[block..(block + inc)]; - let b = &b[block..(block + inc)]; - dot(a, b) - }, - )); + /// Creates a new thread pool with the given thread count. The pool will continue to launch new threads even if + /// the system does not allow for that count of parallelism. + /// No threads will be lauched until jobs are enqueued. + /// # Panic + /// This function will fails if `max_threads` is zero. + pub fn with_limit(max_threads: usize) -> Self { + let (sender, receiver) = channel::(); + Self { + limit: NonZeroUsize::new(max_threads).expect("Thread limit must be non-zero"), + queue: Arc::new(Mutex::new(VecDeque::new())), + handles: Vec::new(), + sender, + receiver, + } } - pool.join_all(); + /// Put a new job into the queue to be executed by a thread in the future. + /// The priority of the job will determine if the job will be put at the start or end of the queue. + /// See [`crate::multithreading::Priority`]. + /// This function will create a new thread if the maximum number of threads in not reached. + /// In case the maximum number of threads is already used, the job is stalled and will get executed + /// when a thread is ready and its at the start of the queue. + pub fn enqueue_priorize(&mut self, func: Task, priority: Priority) { + // put job into queue + let mut queue = self.queue.lock().unwrap(); - black_box(pool.get_results().iter().sum::()); -} + // insert new job into queue depending on its priority + match priority { + Priority::High => queue.push_front(func), + Priority::Low => queue.push_back(func), + } -/// Compute a simple hash value for the given index value. -/// This function will return a value between [0, 1]. -#[inline] -fn hash(x: f64) -> f64 { - ((x * 234.8743 + 3.8274).sin() * 87624.58376).fract() -} + if self.handles.len() < self.limit.get() { + // we can still launch threads to run in parallel -/// Create a vector filled with `size` elements of 64-bit floating point numbers -/// each initialized with the function `hash` and the given seed. The vector will -/// be filled with values between [0, 1]. -fn create_vec(size: usize, seed: u64) -> Arc> { - let mut vec = Vec::with_capacity(size); + // clone the sender + let tx = self.sender.clone(); + let queue = self.queue.clone(); - for i in 0..size { - vec.push(hash(i as f64 + seed as f64)); + self.handles.push(thread::spawn(move || { + while let Some(task) = queue.lock().unwrap().pop_front() { + tx.send((task.job)(task.param)) + .expect("unable to send result over channel"); + } + })); + } + + self.handles.retain(|h| !h.is_finished()); } - Arc::new(vec) -} - -/// Function for executing the thread pool benchmarks using criterion.rs. -/// It will create two different vectors and benchmark the single thread performance -/// as well as the multi threadded performance for varying amounts of threads. -pub fn bench_threadpool(c: &mut Criterion) { - let vec_a = create_vec(VEC_ELEM_COUNT, VEC_SEEDS[0]); - let vec_b = create_vec(VEC_ELEM_COUNT, VEC_SEEDS[1]); - - let mut group = c.benchmark_group("threadpool with various number of threads"); - - for threads in THREAD_COUNTS.iter() { - group.throughput(Throughput::Bytes(*threads as u64)); - group.bench_with_input(BenchmarkId::from_parameter(threads), threads, |b, _| { - b.iter(|| { - dot_parallel(vec_a.clone(), vec_b.clone(), *threads); - }); - }); - } - group.finish(); -} - -/// Benchmark the effects of over and underusing a thread pools thread capacity. -/// The thread pool will automatically choose the number of threads to use. -/// We will then run a custom number of jobs with that pool that may be smaller or larger -/// than the amount of threads the pool can offer. -fn pool_overusage(a: Arc>, b: Arc>, threads: usize) { - // automatically choose the number of threads - let mut pool = ThreadPool::new(); - - // number of elements in each vector for each thread - let steps = a.len() / threads; - - for i in 0..threads { - // offset of the first element for the thread local vec - let chunk = i * steps; - // launch a new thread - pool.enqueue(Task::new( - (chunk, steps, a.clone(), b.clone()), - |(block, inc, a, b)| { - let a = &a[block..(block + inc)]; - let b = &b[block..(block + inc)]; - dot(a, b) - }, - )); + /// Put a new job into the queue to be executed by a thread in the future. + /// The priority of the job is automatically set to [`crate::multithreading::Priority::Low`]. + /// This function will create a new thread if the maximum number of threads in not reached. + /// In case the maximum number of threads is already used, the job is stalled and will get executed + /// when a thread is ready and its at the start of the queue. + pub fn enqueue(&mut self, func: Task) { + self.enqueue_priorize(func, Priority::Low); } - pool.join_all(); - - black_box(pool.get_results().iter().sum::()); -} - -/// Benchmark the effects of over and underusing a thread pools thread capacity. -/// The thread pool will automatically choose the number of threads to use. -/// We will then run a custom number of jobs with that pool that may be smaller or larger -/// than the amount of threads the pool can offer. -pub fn bench_overusage(c: &mut Criterion) { - let vec_a = create_vec(VEC_ELEM_COUNT, VEC_SEEDS[0]); - let vec_b = create_vec(VEC_ELEM_COUNT, VEC_SEEDS[1]); - - let mut group = c.benchmark_group("threadpool overusage"); - - for threads in THREAD_COUNTS.iter() { - group.throughput(Throughput::Bytes(*threads as u64)); - group.bench_with_input(BenchmarkId::from_parameter(threads), threads, |b, _| { - b.iter(|| { - pool_overusage(vec_a.clone(), vec_b.clone(), *threads); - }); - }); + /// Wait for all threads to finish executing. This means that by the time all threads have finished + /// every task will have been executed too. In other words the threads finsish when the queue of jobs is empty. + /// This function will block the caller thread. + pub fn join_all(&mut self) { + while let Some(handle) = self.handles.pop() { + handle.join().unwrap(); + } + } + + /// Sendables all results that have been Sendableed by the threads until now + /// and haven't been consumed yet. + /// All results retrieved from this call won't be Sendableed on a second call. + /// This function is non blocking. + pub fn try_get_results(&mut self) -> Vec { + self.receiver.try_iter().collect() + } + + /// Sendables all results that have been returned by the threads until now + /// and haven't been consumed yet. The function will also wait for all threads to finish executing (empty the queue). + /// All results retrieved from this call won't be returned on a second call. + /// This function will block the caller thread. + pub fn get_results(&mut self) -> Vec { + self.join_all(); + self.try_get_results() } - group.finish(); } -/// Benchmark the performance of a single thread used to calculate the dot product. -pub fn bench_single_threaded(c: &mut Criterion) { - let vec_a = create_vec(VEC_ELEM_COUNT, VEC_SEEDS[0]); - let vec_b = create_vec(VEC_ELEM_COUNT, VEC_SEEDS[1]); - - c.bench_function("single threaded", |s| { - s.iter(|| { - black_box(dot(&vec_a, &vec_b)); - }); - }); +impl Drop for ThreadPool +where + I: Sendable, + T: Sendable, +{ + fn drop(&mut self) { + self.join_all(); + } } -criterion_group!( - benches, - bench_single_threaded, - bench_threadpool, - bench_overusage -); -criterion_main!(benches); +#[cfg(test)] +mod test { + use std::panic::UnwindSafe; + + use super::*; + + #[test] + fn test_default() { + let mut pool = ThreadPool::default(); + + for i in 0..10 { + pool.enqueue_priorize(Task::new(i, |i| i), Priority::High); + } + + pool.join_all(); + + assert_eq!(pool.try_get_results().iter().sum::(), 45); + } + + #[test] + fn test_limit() { + let mut pool = ThreadPool::with_limit(2); + + for i in 0..10 { + pool.enqueue(Task::new(i, |i| i)); + } + + assert_eq!(pool.handles.len(), 2); + assert_eq!(pool.limit.get(), 2); + + pool.join_all(); + + assert_eq!(pool.get_results().iter().sum::(), 45); + } + + trait Object: Send + UnwindSafe { + fn get(&mut self) -> i32; + } + + #[derive(Default)] + struct Test1 { + _int: i32, + } + + impl Object for Test1 { + fn get(&mut self) -> i32 { + 0 + } + } + + #[derive(Default)] + struct Test2 { + _c: char, + } + + impl Object for Test2 { + fn get(&mut self) -> i32 { + 0 + } + } + + #[derive(Default)] + struct Test3 { + _s: String, + } + + impl Object for Test3 { + fn get(&mut self) -> i32 { + 0 + } + } + + #[test] + fn test_1() { + let mut pool = ThreadPool::with_limit(2); + + let feats: Vec> = vec![ + Box::new(Test1::default()), + Box::new(Test2::default()), + Box::new(Test3::default()), + ]; + + for feat in feats { + pool.enqueue(Task::new(feat, |mut i| { + let _ = i.get(); + i + })); + } + + pool.join_all(); + + let _feats: Vec> = pool.get_results(); + } +} diff --git a/src/image/mod.rs b/src/image/mod.rs index 467133f..0626faa 100644 --- a/src/image/mod.rs +++ b/src/image/mod.rs @@ -87,6 +87,10 @@ where pub fn pixel(&self, index: usize) -> (T, T, T, T) { *self.index(index) } + /// Returns all pixel of the image + pub fn pixels(&self, index: usize) -> &Vec<(T, T, T, T)> { + &self.pixels + } /// Returns the path of the image pub fn path(&self) -> &PathBuf { &self.path diff --git a/src/lib.rs b/src/lib.rs index 38383f3..b8f0d44 100644 --- a/src/lib.rs +++ b/src/lib.rs @@ -3,6 +3,7 @@ extern crate core; pub mod image; pub mod image_loader; pub mod multithreading; +pub mod search_index; pub fn add(left: usize, right: usize) -> usize { left + right diff --git a/src/search_index/mod.rs b/src/search_index/mod.rs new file mode 100644 index 0000000..e5a08af --- /dev/null +++ b/src/search_index/mod.rs @@ -0,0 +1,505 @@ +//! +//! This module provides the Database for Images and compare methods to search in it. +//! +//! The database Struct provides the Images and has a threadpool to efficiently process all given features for all Images +//! +//! +//! to generate a database you need a vector of paths of picture that you want to save and search in it. +//! You also need a Vector of Feature generator functions that generates the feature of every image +//! +//! +//!``` +//! # use std::path::{Path, PathBuf}; +//! # use imsearch::image::Image; +//! # use imsearch::search_index; +//! use imsearch::search_index::FeatureGenerator; +//! +//! let path: Vec = Vec::new(); +//! let features: Vec = Vec::new(); +//! +//! let mut database = search_index::Database::new(&path, features ); +//! database.add_image(Path::new("testpath")); +//! ``` +//! +//! +//!This Library provides some Feature generator functions but you can also create your own. +//!The Feature generator has to fit in the "FeatureGenerator" type to work with the database. +//! +//! + +use crate::image::Image; +use crate::multithreading::{Task, ThreadPool}; +use serde::{Deserialize, Serialize}; +use std::collections::HashMap; +use std::default::Default; +use std::fs; +use std::path::{Path, PathBuf}; +use std::sync::Arc; + +///this trait provides a function to compare objects and returns a f32 between 0 and 1. +/// 1 is identical and 0 is different. with this trait you get the similarity between the objects +trait WeightedCmp { + fn weighted(&self, other: &Self) -> f32; +} + +/// Every feature returns a known and sized type from this enum +#[derive(Debug, Clone, Serialize, Deserialize)] +pub enum FeatureResult { + /// A boolean. Just a boolean + Bool(bool), + /// Signed 32-bit integer + I32(i32), + /// 32-bit single precision floating point + /// can be used for aspect ratio or luminance + F32(f32), + /// Vector for nested multidimensional + Vec(Vec), + /// Standard RGBA color + Rgba(f32, f32, f32, f32), + /// Indices intended for the usage in histograms + Indices(Vec), + ///A Character :) + Char(char), + ///A String ;) + String(String), + ///a f32 between 0 and 1 where 1 is 100% and 0 is 0% + Percent(f32), +} + +impl Default for FeatureResult { + fn default() -> Self { + FeatureResult::Bool(false) + } +} + +/// For some feature return type we want to implement a custom compare function +impl PartialEq for FeatureResult { + fn eq(&self, other: &Self) -> bool { + match (self, other) { + (Self::Bool(l0), Self::Bool(r0)) => l0 == r0, + (Self::I32(l0), Self::I32(r0)) => l0 == r0, + (Self::F32(l0), Self::F32(r0)) => l0 == r0, + (Self::Vec(l0), Self::Vec(r0)) => l0 == r0, + (Self::Rgba(l0, l1, l2, l3), Self::Rgba(r0, r1, r2, r3)) => { + l0 == r0 && l1 == r1 && l2 == r2 && l3 == r3 + } + (Self::Indices(l), Self::Indices(r)) => l == r, + (Self::Char(l0), Self::Char(r0)) => l0 == r0, + (Self::String(l), Self::String(r)) => l == r, + (Self::Percent(l0), Self::Percent(r0)) => l0 == r0, + _ => false, + } + } +} + +///in this trait we compare the types to get the similarity between them where 1 is identical and 0 is completly different +/// +/// the Vec type compares each member recursive. +/// the Rgba type returns the Delta E similarity of the Colors +/// the Indices type is compared with the cosines similarity +/// the Percent type returns the 1 - difference +/// +/// +impl WeightedCmp for FeatureResult { + fn weighted(&self, other: &Self) -> f32 { + match (self, other) { + (Self::Bool(l0), Self::Bool(r0)) => { + if l0 == r0 { + 1. + } else { + 0. + } + } + (Self::I32(l0), Self::I32(r0)) => { + if l0 == r0 { + 1. + } else { + 0. + } + } + (Self::F32(l0), Self::F32(r0)) => { + if (l0 - r0).abs() < 1e-4 { + 1. + } else { + 0. + } + } + (Self::Vec(l), Self::Vec(r)) => { + if l.len() == r.len() { + let mut b: f32 = 0.; + for a in l.iter().enumerate() { + b += a.1.weighted(&r[a.0]); + } + b / l.len() as f32 + } else { + 0. + } + } + (Self::Rgba(l0, l1, l2, _), Self::Rgba(r0, r1, r2, _)) => { + let lableft = rgb_to_lab(vec![*l0, *l1, *l2]); + let labright = rgb_to_lab(vec![*r0, *r1, *r2]); + + let mut result = ((lableft[0] - labright[0]) * (lableft[0] - labright[0]) + + (lableft[1] - labright[1]) * (lableft[1] - labright[1]) + + (lableft[2] - labright[2]) * (lableft[2] - labright[2])) + .sqrt(); //euclidian distance between two colors: Delta E + if result > 100. { + result = 0.; + } else { + result = 1. - result / 100.; + } + + result + } + (Self::Indices(l), Self::Indices(r)) => { + let mut up = 0_u64; + let mut left = 0_u64; + let mut right = 0_u64; + for (a, b) in l.iter().zip(r.iter()).map(|(a, b)| (a, b)) { + left += a * a; + right += b * b; + up += a * b; + } + + let mut result = up as f32 / ((left * right) as f32).sqrt(); //cosines similarity + + if result.is_nan() { + if left == right { + result = 1.; + } else { + result = 0. + } + } + result + } + + (Self::Char(l0), Self::Char(r0)) => { + if l0 == r0 { + 1. + } else { + 0. + } + } + (Self::String(l0), Self::String(r0)) => { + if l0 == r0 { + 1. + } else { + 0. + } + } + (Self::Percent(l0), Self::Percent(r0)) => 1. - (l0 - r0).abs(), + + _ => 0., + } + } +} + +///this function transforms rgb values to lab values +fn rgb_to_lab(rgb: Vec) -> [f32; 3] { + let r = rgb[0] / 255.0; + let g = rgb[1] / 255.0; + let b = rgb[2] / 255.0; + + let r = if r > 0.04045 { + ((r + 0.055) / 1.055).powf(2.4) + } else { + r / 12.92 + }; + let g = if g > 0.04045 { + ((g + 0.055) / 1.055).powf(2.4) + } else { + g / 12.92 + }; + let b = if b > 0.04045 { + ((b + 0.055) / 1.055).powf(2.4) + } else { + b / 12.92 + }; + + let x = r * 0.4124 + g * 0.3576 + b * 0.1805; + let y = r * 0.2126 + g * 0.7152 + b * 0.0722; + let z = r * 0.0193 + g * 0.1192 + b * 0.9505; + + let x = x / 0.95047; + let y = y / 1.0; + let z = z / 1.08883; + + let x = if x > 0.008856 { + x.powf(1.0 / 3.0) + } else { + (7.787 * x) + (16.0 / 116.0) + }; + let y = if y > 0.008856 { + y.powf(1.0 / 3.0) + } else { + (7.787 * y) + (16.0 / 116.0) + }; + let z = if z > 0.008856 { + z.powf(1.0 / 3.0) + } else { + (7.787 * z) + (16.0 / 116.0) + }; + + let l = (116.0 * y) - 16.0; + let a = 500.0 * (x - y); + let b = 200.0 * (y - z); + + [l, a, b] +} + +pub type FeatureGenerator = fn(Arc>) -> (String, FeatureResult); + +///The Database stores the images with the feature generators. +///It also stores the threadpool +///the images of the Database can get serialized using Serde_Json. the complete Database cant get serialized +#[derive(Default)] +pub struct Database { + images: IndexedImages, + + /// keep feature generator for the case when we add a new image + /// this field is not serialized and needs to be wrapped in an option + generators: Vec, + threadpool: ThreadPool>, (String, FeatureResult)>, +} + +impl Database { + ///This function search the Database after the Similarity to a given Image in a specific feature. + /// It returns a Vector of all images and a f32 value which represents the Similarity in percent. + /// + pub fn search(&self, imagepath: &Path, feature: FeatureGenerator) -> Vec<(PathBuf, f32)> { + self.images.search(imagepath, feature) + } + + ///the new function generates a new Database out of a vector of the Paths of the Images and a Vector of features + pub fn new(imagepaths: &Vec, features: Vec) -> Self { + let mut threadpool = ThreadPool::new(); + Self { + images: IndexedImages::new(imagepaths, &features, &mut threadpool), + generators: features, + threadpool, + } + } + + /// with add_image you can add images in a existing database. + /// databases from a file are read only. + pub fn add_image(&mut self, path: &Path) { + if !self.generators.is_empty() { + self.images + .add_image(path, &self.generators, &mut self.threadpool) + } else { + panic!("database without generator functions is immutable") + } + } + + /// with from_file you can generate a Database out of a given path to a serialized database + pub fn from_file(path: &Path) -> Self { + let filestring = fs::read_to_string(path).expect("can't read that file"); + let images = serde_json::from_str::(&filestring) + .expect("unable to deserialize the file"); + Self { + images, + generators: Vec::new(), + threadpool: ThreadPool::new(), + } + } +} + +///IndexedImages stores the images of the Database and is serializable +#[derive(Serialize, Deserialize, Default, PartialEq, Debug)] +struct IndexedImages { + images: HashMap>, +} + +impl IndexedImages { + ///the new function generates all images and generates every feature so it can store these. + + fn new( + imagepaths: &Vec, + features: &[FeatureGenerator], + threadpool: &mut ThreadPool>, (String, FeatureResult)>, + ) -> Self { + let mut images_with_feats = HashMap::new(); + + for path in imagepaths { + let image: Arc> = Arc::new(Image::default()); //todo!("Image reader function") + let mut feats = HashMap::new(); + + for generator in features.iter() { + threadpool.enqueue(Task::new(image.clone(), *generator)); + } + let vec = threadpool.get_results(); + + for (name, result) in vec { + feats.insert(name, result); + } + + images_with_feats.insert(image.path().clone(), feats); + } + + Self { + images: images_with_feats, + } + } + + ///This function search the Database after the Similarity to a given Image in a specific feature. + /// It returns a Vector of all images and a f32 value which represents the Similarity in percent. + /// + fn search(&self, imagepath: &Path, feature: FeatureGenerator) -> Vec<(PathBuf, f32)> { + let image: Arc> = Arc::new(Image::default()); //todo!("Image reader function") + let search_feat = feature(image); + let mut result: Vec<(PathBuf, f32)> = Vec::new(); + + for image in &self.images { + for feat in image.1 { + if search_feat.0 == *feat.0 { + result.push((image.0.clone(), search_feat.1.weighted(feat.1))); + } + } + } + result + } + + ///this function lets you add images to the Indexed Image struct + fn add_image( + &mut self, + path: &Path, + generator: &Vec, + threadpool: &mut ThreadPool>, (String, FeatureResult)>, + ) { + let image: Arc> = Arc::new(Image::default()); //todo!("Image reader function") + let mut feats = HashMap::new(); + + for gen in generator { + threadpool.enqueue(Task::new(image.clone(), *gen)); + } + let vec = threadpool.get_results(); + + for (name, result) in vec { + feats.insert(name, result); + } + self.images.insert(image.path().clone(), feats); + } +} + +/// example feature implementation +#[allow(dead_code)] +fn average_luminance(image: Arc>) -> (String, FeatureResult) { + (String::from("average-brightness"), FeatureResult::F32(0.0)) +} + +#[cfg(test)] +mod tests { + use super::*; + + ///this function tests the Serialization of the Database + #[test] + fn conversion() { + let mut images: HashMap> = HashMap::new(); + let mut feat: HashMap = HashMap::new(); + feat.insert(String::from("average-brightness"), FeatureResult::F32(0.0)); + images.insert(PathBuf::new(), feat); + let data = IndexedImages { images }; + + let _as_json = serde_json::to_string(&data).expect("couldnt convert"); + println!("{:?}", _as_json); + let data_after_conversion = + serde_json::from_str::(&_as_json).expect("couldnt convert from string"); + assert_eq!(data, data_after_conversion); + } + + ///this function tests Edgecases for the cosine_similarity in the weightet function + #[test] + fn cosine_similarity() { + let vec1 = FeatureResult::Indices(vec![1, 3, 4]); + let vec2 = FeatureResult::Indices(vec![1, 3, 4]); + + assert_eq!(1., vec1.weighted(&vec2)); // both are identical + let vec2 = FeatureResult::Indices(vec![0, 0, 0]); + assert_eq!(0., vec1.weighted(&vec2)); // one is 0 + let vec1 = FeatureResult::Indices(vec![0, 0, 0]); + assert_eq!(1., vec1.weighted(&vec2)); // both are 0 + + assert_eq!(1., vec2.weighted(&vec1)); // it shouldn't change if the Values are switched + + let vec1 = FeatureResult::Indices(vec![7, 3, 4]); + let vec2 = FeatureResult::Indices(vec![1, 5, 2]); + assert_eq!(vec1.weighted(&vec2), vec2.weighted(&vec1)); + println!("{:?}", vec1.weighted(&vec2)); + + let mut vec1 = vec![5; 9999]; + vec1.push(1); + let vec1 = FeatureResult::Indices(vec1); + let vec2 = FeatureResult::Indices(vec![7; 10000]); + println!("{:?}", vec1.weighted(&vec2)); + } + ///this function tests all of the weighted function + #[test] + fn weighted() { + let vec1 = FeatureResult::Vec(vec![ + FeatureResult::Bool(true), + FeatureResult::Char('c'), + FeatureResult::Vec(vec![FeatureResult::Percent(0.5)]), + FeatureResult::F32(44.543), + ]); + + let vec2 = FeatureResult::Vec(vec![ + FeatureResult::Bool(true), + FeatureResult::Char('c'), + FeatureResult::Vec(vec![FeatureResult::Percent(0.5)]), + FeatureResult::F32(44.543), + ]); + assert_eq!(1., vec2.weighted(&vec1)); + + let vec2 = FeatureResult::Vec(vec![ + FeatureResult::Bool(true), + FeatureResult::Char('c'), + FeatureResult::F32(44.543), + FeatureResult::Vec(vec![FeatureResult::Percent(0.5)]), + ]); + assert_eq!(0.5, vec2.weighted(&vec1)); + println!("{:?}", vec1.weighted(&vec2)); + + let value1 = FeatureResult::F32(44.543); + let value2 = FeatureResult::F32(44.543); + assert_eq!(1., value1.weighted(&value2)); + + let value1 = FeatureResult::Bool(true); + let value2 = FeatureResult::Bool(false); + assert_eq!(0., value1.weighted(&value2)); + + let value1 = FeatureResult::String(String::from("Testing")); + let value2 = FeatureResult::String(String::from("notTesting")); + assert_eq!(0., value1.weighted(&value2)); + + let value2 = FeatureResult::String(String::from("Testing")); + assert_eq!(1., value1.weighted(&value2)); + } + + ///this test is for the rgba values in the weighted function + #[test] + fn weighted_rgba() { + let value1 = FeatureResult::Rgba(32.6754, 42.432, 43.87, 255.); + let value2 = FeatureResult::Rgba(32.6754, 42.432, 43.87, 255.); + assert_eq!(1., value1.weighted(&value2)); + + let value1 = FeatureResult::Rgba(255., 255., 0., 255.); + let value2 = FeatureResult::Rgba(0., 0., 0., 255.); + //assert_eq!(1., value1.weighted(&value2)) ; + println!("Yellow to Black: {:?}", value1.weighted(&value2)); + + let value1 = FeatureResult::Rgba(255., 255., 0., 255.); + let value2 = FeatureResult::Rgba(200., 255., 55., 255.); + //assert_eq!(1., value1.weighted(&value2)) ; + println!("yellow to light green: {:?}", value1.weighted(&value2)); + + let value1 = FeatureResult::Rgba(3., 8., 255., 255.); + let value2 = FeatureResult::Rgba(3., 106., 255., 255.); + //assert_eq!(1., value1.weighted(&value2)) ; + println!("blue to dark blue: {:?}", value1.weighted(&value2)); + + let value1 = FeatureResult::Rgba(255., 106., 122., 255.); + let value2 = FeatureResult::Rgba(255., 1., 28., 255.); + //assert_eq!(1., value1.weighted(&value2)) ; + println!("Red to light red: {:?}", value1.weighted(&value2)); + } +} From b498aee8a703de8da7c1895cb47f64377079ce61 Mon Sep 17 00:00:00 2001 From: teridax Date: Sat, 17 Jun 2023 22:31:18 +0200 Subject: [PATCH 4/7] fixed multihtreading benchmark missing removed default code from lib.rs removed println statements from image_loader added image loading feature to database --- benches/multithreading.rs | 473 ++++++++++++-------------------------- src/image/mod.rs | 5 +- src/image_loader/mod.rs | 12 +- src/lib.rs | 15 -- src/search_index/mod.rs | 68 ++++-- 5 files changed, 197 insertions(+), 376 deletions(-) diff --git a/benches/multithreading.rs b/benches/multithreading.rs index 0591bab..0119b93 100644 --- a/benches/multithreading.rs +++ b/benches/multithreading.rs @@ -1,350 +1,179 @@ -//! This module provides the functionality to create thread pool to execute tasks in parallel. -//! The amount of threads to be used at maximum can be regulated by using `ThreadPool::with_limit`. -//! This implementation is aimed to be of low runtime cost with minimal sychronisation due to blocking. -//! Note that no threads will be spawned until jobs are supplied to be executed. For every supplied job -//! a new thread will be launched until the maximum number is reached. By then every launched thread will -//! be reused to process the remaining elements of the queue. If no jobs are left to be executed -//! all threads will finish and die. This means that if nothing is done, no threads will run in idle in the background. -//! # Example -//! ```rust -//! # use imsearch::multithreading::ThreadPool; -//! # use imsearch::multithreading::Task; -//! let mut pool = ThreadPool::with_limit(2); -//! -//! for i in 0..10 { -//! pool.enqueue(Task::new(i, |i| i)); -//! // ^^^^^^ closure or static function -//! } -//! -//! pool.join_all(); -//! assert_eq!(pool.get_results().iter().sum::(), 45); -//! ``` +//! Benachmarking funcitonality for [Criterion.rs](https://github.com/bheisler/criterion.rs) +//! This benchmark will compare the performance of various thread pools launched with different amounts of +//! maximum threads. +//! Each thread will calculate a partial dot product of two different vectors composed of 1,000,000 64-bit +//! double precision floating point values. -use std::{ - any::Any, - collections::VecDeque, - num::NonZeroUsize, - sync::{ - mpsc::{channel, Receiver, Sender}, - Arc, Mutex, - }, - thread::{self, JoinHandle}, -}; +use std::sync::Arc; -/// Default number if threads to be used in case [`std::thread::available_parallelism`] fails. -pub const DEFAULT_THREAD_POOL_SIZE: usize = 1; +use criterion::{black_box, criterion_group, criterion_main, BenchmarkId, Criterion, Throughput}; +use imsearch::multithreading::{Task, ThreadPool}; -/// Indicates the priority level of functions or closures which get supplied to the pool. -/// Use [`Priority::High`] to ensure the closue to be executed before all closures that are already supplied -/// Use [`Priority::Low`] to ensure the closue to be executed after all closures that are already supplied -#[derive(Debug, Copy, Clone, Hash, PartialEq, Eq, PartialOrd, Ord)] -pub enum Priority { - /// Indicate that the closure or function supplied to the thread - /// has higher priority than any other given to the pool until now. - /// The item will get enqueued at the start of the waiting-queue. - High, - /// Indicate that the closure or function supplied to the thread pool - /// has lower priority than the already supplied ones in this pool. - /// The item will get enqueued at the end of the waiting-queue. - Low, +/// Amount of elements per vector used to calculate the dot product +const VEC_ELEM_COUNT: usize = 1_000_000; +/// Number of threads to test +const THREAD_COUNTS: [usize; 17] = [ + 1, 2, 4, 6, 8, 10, 12, 16, 18, 20, 22, 26, 28, 32, 40, 56, 64, +]; +/// seeds used to scramble up the values produced by the hash function for each vector +/// these are just some pseudo random numbers +const VEC_SEEDS: [u64; 2] = [0xa3f8347abce16, 0xa273048ca9dea]; + +/// Compute the dot product of two vectors +/// # Panics +/// this function assumes both vectors to be of exactly the same length. +/// If this is not the case the function will panic. +fn dot(a: &[f64], b: &[f64]) -> f64 { + let mut sum = 0.0; + + for i in 0..a.len() { + sum += a[i] * b[i]; + } + + sum } -/// Traits a return value has to implement when being given back by a function or closure. -pub trait Sendable: Any + Send + 'static {} +/// Computes the dot product using a thread pool with varying number of threads. The vectors will be both splitted into equally +/// sized slices which then get passed ot their own thread to compute the partial dot product. After all threads have +/// finished the partial dot products will be summed to create the final result. +fn dot_parallel(a: Arc>, b: Arc>, threads: usize) { + let mut pool = ThreadPool::with_limit(threads); -impl Sendable for T where T: Any + Send + 'static {} + // number of elements in each vector for each thread + let steps = a.len() / threads; -/// A task that will be executed at some point in the future by the thread pool -/// At the heart of this struct is the function to be executed. This may be a closure. -#[derive(Debug, Copy, Clone)] -pub struct Task -where - I: Sendable, - T: Sendable, -{ - job: fn(I) -> T, - param: I, + for i in 0..threads { + // offset of the first element for the thread local vec + let chunk = i * steps; + // create a new strong reference to the vector + let aa = a.clone(); + let bb = b.clone(); + // launch a new thread + pool.enqueue(Task::new( + (aa, bb, chunk, steps), + |(aa, bb, chunk, steps)| { + let a = &aa[chunk..(chunk + steps)]; + let b = &bb[chunk..(chunk + steps)]; + dot(a, b) + }, + )); + } + + pool.join_all(); + + black_box(pool.get_results().iter().sum::()); } -impl Task -where - I: Sendable, - T: Sendable, -{ - pub fn new(param: I, job: fn(I) -> T) -> Self { - Self { job, param } - } +/// Compute a simple hash value for the given index value. +/// This function will return a value between [0, 1]. +#[inline] +fn hash(x: f64) -> f64 { + ((x * 234.8743 + 3.8274).sin() * 87624.58376).fract() } -/// Thread pool which can be used to execute functions or closures in parallel. -/// The amount of threads to be used at maximum can be regulated by using `ThreadPool::with_limit`. -/// This implementation is aimed to be of low runtime cost with minimal sychronisation due to blocking. -/// Note that no threads will be spawned until jobs are supplied to be executed. For every supplied job -/// a new thread will be launched until the maximum number is reached. By then every launched thread will -/// be reused to process the remaining elements of the queue. If no jobs are left to be executed -/// all threads will finish and die. This means that if nothing is done, no threads will run in idle in the background. -/// # Example -/// ```rust -/// # use imsearch::multithreading::ThreadPool; -/// # use imsearch::multithreading::Task; -/// let mut pool = ThreadPool::with_limit(2); -/// -/// for i in 0..10 { -/// pool.enqueue(Task::new(i, |i| i)); -/// } -/// -/// pool.join_all(); -/// assert_eq!(pool.get_results().iter().sum::(), 45); -/// ``` -/// # Drop -/// This struct implements the `Drop` trait. Upon being dropped the pool will wait for all threads -/// to finsish. This may take up an arbitrary amount of time. -/// # Panics in the thread -/// When a function or closure panics, the executing thread will detect the unwind performed by `panic` causing the -/// thread to print a message on stderr. The thread itself captures panics and won't terminate execution but continue with -/// the next task in the queue. -/// Its not recommend to use this pool with custom panic hooks or special functions which abort the process. -/// Also panicking code from external program written in C++ or others in undefinied behavior according to [`std::panic::catch_unwind`] -#[derive(Debug)] -pub struct ThreadPool -where - I: Sendable, - T: Sendable, -{ - /// queue for storing the jobs to be executed - queue: Arc>>>, - /// handles for all threads currently running and processing jobs - handles: Vec>, - /// reciver end for channel based communication between threads - receiver: Receiver, - /// sender end for channel based communication between threads - sender: Sender, - /// maximum amount of threads to be used in parallel - limit: NonZeroUsize, +/// Create a vector filled with `size` elements of 64-bit floating point numbers +/// each initialized with the function `hash` and the given seed. The vector will +/// be filled with values between [0, 1]. +fn create_vec(size: usize, seed: u64) -> Arc> { + let mut vec = Vec::with_capacity(size); + + for i in 0..size { + vec.push(hash(i as f64 + seed as f64)); + } + + Arc::new(vec) } -impl Default for ThreadPool -where - I: Sendable, - T: Sendable, -{ - fn default() -> Self { - let (sender, receiver) = channel::(); +/// Function for executing the thread pool benchmarks using criterion.rs. +/// It will create two different vectors and benchmark the single thread performance +/// as well as the multi threadded performance for varying amounts of threads. +pub fn bench_threadpool(c: &mut Criterion) { + let vec_a = create_vec(VEC_ELEM_COUNT, VEC_SEEDS[0]); + let vec_b = create_vec(VEC_ELEM_COUNT, VEC_SEEDS[1]); - // determine default thread count to use based on the system - let default = - NonZeroUsize::new(DEFAULT_THREAD_POOL_SIZE).expect("Thread limit must be non-zero"); - let limit = thread::available_parallelism().unwrap_or(default); + let mut group = c.benchmark_group("threadpool with various number of threads"); - Self { - queue: Arc::new(Mutex::new(VecDeque::new())), - handles: Vec::new(), - receiver, - sender, - limit, - } + for threads in THREAD_COUNTS.iter() { + group.throughput(Throughput::Bytes(*threads as u64)); + group.bench_with_input(BenchmarkId::from_parameter(threads), threads, |b, _| { + b.iter(|| { + dot_parallel(vec_a.clone(), vec_b.clone(), *threads); + }); + }); } + group.finish(); } -impl ThreadPool -where - I: Sendable, - T: Sendable, -{ - /// Creates a new thread pool with default thread count determined by either - /// [`std::thread::available_parallelism`] or [`DEFAULT_THREAD_POOL_SIZE`] in case it fails. - /// No threads will be lauched until jobs are enqueued. - pub fn new() -> Self { - Default::default() +/// Benchmark the effects of over and underusing a thread pools thread capacity. +/// The thread pool will automatically choose the number of threads to use. +/// We will then run a custom number of jobs with that pool that may be smaller or larger +/// than the amount of threads the pool can offer. +fn pool_overusage(a: Arc>, b: Arc>, threads: usize) { + // automatically choose the number of threads + let mut pool = ThreadPool::new(); + + // number of elements in each vector for each thread + let steps = a.len() / threads; + + for i in 0..threads { + // offset of the first element for the thread local vec + let chunk = i * steps; + // create a new strong reference to the vector + let aa = a.clone(); + let bb = b.clone(); + // launch a new thread + pool.enqueue(Task::new( + (aa, bb, chunk, steps), + |(aa, bb, chunk, steps)| { + let a = &aa[chunk..(chunk + steps)]; + let b = &bb[chunk..(chunk + steps)]; + dot(a, b) + }, + )); } - /// Creates a new thread pool with the given thread count. The pool will continue to launch new threads even if - /// the system does not allow for that count of parallelism. - /// No threads will be lauched until jobs are enqueued. - /// # Panic - /// This function will fails if `max_threads` is zero. - pub fn with_limit(max_threads: usize) -> Self { - let (sender, receiver) = channel::(); - Self { - limit: NonZeroUsize::new(max_threads).expect("Thread limit must be non-zero"), - queue: Arc::new(Mutex::new(VecDeque::new())), - handles: Vec::new(), - sender, - receiver, - } - } + pool.join_all(); - /// Put a new job into the queue to be executed by a thread in the future. - /// The priority of the job will determine if the job will be put at the start or end of the queue. - /// See [`crate::multithreading::Priority`]. - /// This function will create a new thread if the maximum number of threads in not reached. - /// In case the maximum number of threads is already used, the job is stalled and will get executed - /// when a thread is ready and its at the start of the queue. - pub fn enqueue_priorize(&mut self, func: Task, priority: Priority) { - // put job into queue - let mut queue = self.queue.lock().unwrap(); - - // insert new job into queue depending on its priority - match priority { - Priority::High => queue.push_front(func), - Priority::Low => queue.push_back(func), - } - - if self.handles.len() < self.limit.get() { - // we can still launch threads to run in parallel - - // clone the sender - let tx = self.sender.clone(); - let queue = self.queue.clone(); - - self.handles.push(thread::spawn(move || { - while let Some(task) = queue.lock().unwrap().pop_front() { - tx.send((task.job)(task.param)) - .expect("unable to send result over channel"); - } - })); - } - - self.handles.retain(|h| !h.is_finished()); - } - - /// Put a new job into the queue to be executed by a thread in the future. - /// The priority of the job is automatically set to [`crate::multithreading::Priority::Low`]. - /// This function will create a new thread if the maximum number of threads in not reached. - /// In case the maximum number of threads is already used, the job is stalled and will get executed - /// when a thread is ready and its at the start of the queue. - pub fn enqueue(&mut self, func: Task) { - self.enqueue_priorize(func, Priority::Low); - } - - /// Wait for all threads to finish executing. This means that by the time all threads have finished - /// every task will have been executed too. In other words the threads finsish when the queue of jobs is empty. - /// This function will block the caller thread. - pub fn join_all(&mut self) { - while let Some(handle) = self.handles.pop() { - handle.join().unwrap(); - } - } - - /// Sendables all results that have been Sendableed by the threads until now - /// and haven't been consumed yet. - /// All results retrieved from this call won't be Sendableed on a second call. - /// This function is non blocking. - pub fn try_get_results(&mut self) -> Vec { - self.receiver.try_iter().collect() - } - - /// Sendables all results that have been returned by the threads until now - /// and haven't been consumed yet. The function will also wait for all threads to finish executing (empty the queue). - /// All results retrieved from this call won't be returned on a second call. - /// This function will block the caller thread. - pub fn get_results(&mut self) -> Vec { - self.join_all(); - self.try_get_results() - } + black_box(pool.get_results().iter().sum::()); } -impl Drop for ThreadPool -where - I: Sendable, - T: Sendable, -{ - fn drop(&mut self) { - self.join_all(); +/// Benchmark the effects of over and underusing a thread pools thread capacity. +/// The thread pool will automatically choose the number of threads to use. +/// We will then run a custom number of jobs with that pool that may be smaller or larger +/// than the amount of threads the pool can offer. +pub fn bench_overusage(c: &mut Criterion) { + let vec_a = create_vec(VEC_ELEM_COUNT, VEC_SEEDS[0]); + let vec_b = create_vec(VEC_ELEM_COUNT, VEC_SEEDS[1]); + + let mut group = c.benchmark_group("threadpool overusage"); + + for threads in THREAD_COUNTS.iter() { + group.throughput(Throughput::Bytes(*threads as u64)); + group.bench_with_input(BenchmarkId::from_parameter(threads), threads, |b, _| { + b.iter(|| { + pool_overusage(vec_a.clone(), vec_b.clone(), *threads); + }); + }); } + group.finish(); } -#[cfg(test)] -mod test { - use std::panic::UnwindSafe; +/// Benchmark the performance of a single thread used to calculate the dot product. +pub fn bench_single_threaded(c: &mut Criterion) { + let vec_a = create_vec(VEC_ELEM_COUNT, VEC_SEEDS[0]); + let vec_b = create_vec(VEC_ELEM_COUNT, VEC_SEEDS[1]); - use super::*; - - #[test] - fn test_default() { - let mut pool = ThreadPool::default(); - - for i in 0..10 { - pool.enqueue_priorize(Task::new(i, |i| i), Priority::High); - } - - pool.join_all(); - - assert_eq!(pool.try_get_results().iter().sum::(), 45); - } - - #[test] - fn test_limit() { - let mut pool = ThreadPool::with_limit(2); - - for i in 0..10 { - pool.enqueue(Task::new(i, |i| i)); - } - - assert_eq!(pool.handles.len(), 2); - assert_eq!(pool.limit.get(), 2); - - pool.join_all(); - - assert_eq!(pool.get_results().iter().sum::(), 45); - } - - trait Object: Send + UnwindSafe { - fn get(&mut self) -> i32; - } - - #[derive(Default)] - struct Test1 { - _int: i32, - } - - impl Object for Test1 { - fn get(&mut self) -> i32 { - 0 - } - } - - #[derive(Default)] - struct Test2 { - _c: char, - } - - impl Object for Test2 { - fn get(&mut self) -> i32 { - 0 - } - } - - #[derive(Default)] - struct Test3 { - _s: String, - } - - impl Object for Test3 { - fn get(&mut self) -> i32 { - 0 - } - } - - #[test] - fn test_1() { - let mut pool = ThreadPool::with_limit(2); - - let feats: Vec> = vec![ - Box::new(Test1::default()), - Box::new(Test2::default()), - Box::new(Test3::default()), - ]; - - for feat in feats { - pool.enqueue(Task::new(feat, |mut i| { - let _ = i.get(); - i - })); - } - - pool.join_all(); - - let _feats: Vec> = pool.get_results(); - } + c.bench_function("single threaded", |s| { + s.iter(|| { + black_box(dot(&vec_a, &vec_b)); + }); + }); } + +criterion_group!( + benches, + bench_single_threaded, + bench_threadpool, + bench_overusage +); +criterion_main!(benches); diff --git a/src/image/mod.rs b/src/image/mod.rs index 0626faa..ee6880d 100644 --- a/src/image/mod.rs +++ b/src/image/mod.rs @@ -88,16 +88,13 @@ where *self.index(index) } /// Returns all pixel of the image - pub fn pixels(&self, index: usize) -> &Vec<(T, T, T, T)> { + pub fn pixels(&self) -> &Vec<(T, T, T, T)> { &self.pixels } /// Returns the path of the image pub fn path(&self) -> &PathBuf { &self.path } - pub fn pixels(&self) -> &Vec<(T, T, T, T)> { - &self.pixels - } /// Returns the iterator of the pixels vector pub fn iter(&self) -> Iter<'_, (T, T, T, T)> { diff --git a/src/image_loader/mod.rs b/src/image_loader/mod.rs index c3625bd..829d589 100644 --- a/src/image_loader/mod.rs +++ b/src/image_loader/mod.rs @@ -41,14 +41,9 @@ pub fn image_loader(path: &Path) -> Result, &'static str> { let color_type = reader.info().color_type; let width = reader.info().width; let height = reader.info().height; - let palette = &reader.info().palette; let idat = &buf[..info.buffer_size()]; - println!("idat {:?} idat ", idat); - println!("palette {:?} palette", palette); - println!("depth {:?} depth", bit_depth); - let pixel_vec = match color_type { png::ColorType::Grayscale => grayscale_to_rgba(idat, bit_depth), png::ColorType::GrayscaleAlpha => grayscale_alpha_to_rgba(idat, bit_depth), @@ -57,12 +52,7 @@ pub fn image_loader(path: &Path) -> Result, &'static str> { _ => panic!("Unsupported color type or bit depth"), }?; - let image: Image = Image::new( - width as usize, - height as usize, - pixel_vec, - path.to_path_buf(), - ); + let image: Image = Image::new(width, height, pixel_vec, path.to_path_buf()); Ok(image) } diff --git a/src/lib.rs b/src/lib.rs index b8f0d44..178f861 100644 --- a/src/lib.rs +++ b/src/lib.rs @@ -4,18 +4,3 @@ pub mod image; pub mod image_loader; pub mod multithreading; pub mod search_index; - -pub fn add(left: usize, right: usize) -> usize { - left + right -} - -#[cfg(test)] -mod tests { - use super::*; - - #[test] - fn it_works() { - let result = add(2, 2); - assert_eq!(result, 4); - } -} diff --git a/src/search_index/mod.rs b/src/search_index/mod.rs index e5a08af..e9f0586 100644 --- a/src/search_index/mod.rs +++ b/src/search_index/mod.rs @@ -8,7 +8,7 @@ //! You also need a Vector of Feature generator functions that generates the feature of every image //! //! -//!``` +//!```rust ignore //! # use std::path::{Path, PathBuf}; //! # use imsearch::image::Image; //! # use imsearch::search_index; @@ -17,8 +17,8 @@ //! let path: Vec = Vec::new(); //! let features: Vec = Vec::new(); //! -//! let mut database = search_index::Database::new(&path, features ); -//! database.add_image(Path::new("testpath")); +//! let mut database = search_index::Database::new(&path, features).unwrap(); +//! database.add_image(Path::new("testpath")).unwrap(); //! ``` //! //! @@ -266,23 +266,34 @@ impl Database { ///This function search the Database after the Similarity to a given Image in a specific feature. /// It returns a Vector of all images and a f32 value which represents the Similarity in percent. /// - pub fn search(&self, imagepath: &Path, feature: FeatureGenerator) -> Vec<(PathBuf, f32)> { + pub fn search( + &self, + imagepath: &Path, + feature: FeatureGenerator, + ) -> Result, &'static str> { self.images.search(imagepath, feature) } ///the new function generates a new Database out of a vector of the Paths of the Images and a Vector of features - pub fn new(imagepaths: &Vec, features: Vec) -> Self { + pub fn new( + imagepaths: &Vec, + features: Vec, + ) -> Result { let mut threadpool = ThreadPool::new(); - Self { - images: IndexedImages::new(imagepaths, &features, &mut threadpool), + let images = match IndexedImages::new(imagepaths, &features, &mut threadpool) { + Ok(images) => images, + Err(e) => return Err(e), + }; + Ok(Self { + images, generators: features, threadpool, - } + }) } /// with add_image you can add images in a existing database. /// databases from a file are read only. - pub fn add_image(&mut self, path: &Path) { + pub fn add_image(&mut self, path: &Path) -> Result<(), &'static str> { if !self.generators.is_empty() { self.images .add_image(path, &self.generators, &mut self.threadpool) @@ -317,11 +328,14 @@ impl IndexedImages { imagepaths: &Vec, features: &[FeatureGenerator], threadpool: &mut ThreadPool>, (String, FeatureResult)>, - ) -> Self { + ) -> Result { let mut images_with_feats = HashMap::new(); for path in imagepaths { - let image: Arc> = Arc::new(Image::default()); //todo!("Image reader function") + let image = match crate::image_loader::image_loader(path) { + Ok(image) => Arc::new(image), + Err(desc) => return Err(desc), + }; let mut feats = HashMap::new(); for generator in features.iter() { @@ -336,16 +350,23 @@ impl IndexedImages { images_with_feats.insert(image.path().clone(), feats); } - Self { + Ok(Self { images: images_with_feats, - } + }) } ///This function search the Database after the Similarity to a given Image in a specific feature. /// It returns a Vector of all images and a f32 value which represents the Similarity in percent. /// - fn search(&self, imagepath: &Path, feature: FeatureGenerator) -> Vec<(PathBuf, f32)> { - let image: Arc> = Arc::new(Image::default()); //todo!("Image reader function") + fn search( + &self, + imagepath: &Path, + feature: FeatureGenerator, + ) -> Result, &'static str> { + let image = match crate::image_loader::image_loader(imagepath) { + Ok(image) => Arc::new(image), + Err(desc) => return Err(desc), + }; let search_feat = feature(image); let mut result: Vec<(PathBuf, f32)> = Vec::new(); @@ -356,7 +377,7 @@ impl IndexedImages { } } } - result + Ok(result) } ///this function lets you add images to the Indexed Image struct @@ -365,8 +386,11 @@ impl IndexedImages { path: &Path, generator: &Vec, threadpool: &mut ThreadPool>, (String, FeatureResult)>, - ) { - let image: Arc> = Arc::new(Image::default()); //todo!("Image reader function") + ) -> Result<(), &'static str> { + let image = match crate::image_loader::image_loader(path) { + Ok(image) => Arc::new(image), + Err(desc) => return Err(desc), + }; let mut feats = HashMap::new(); for gen in generator { @@ -378,13 +402,9 @@ impl IndexedImages { feats.insert(name, result); } self.images.insert(image.path().clone(), feats); - } -} -/// example feature implementation -#[allow(dead_code)] -fn average_luminance(image: Arc>) -> (String, FeatureResult) { - (String::from("average-brightness"), FeatureResult::F32(0.0)) + Ok(()) + } } #[cfg(test)] From c3405c42cc9cb8c11299fbc304b84f2ebf7fb3b8 Mon Sep 17 00:00:00 2001 From: teridax Date: Sat, 17 Jun 2023 23:27:07 +0200 Subject: [PATCH 5/7] added integration test moved test image files to res folder fixed bugs in image loader --- .gitignore | 3 +- {test_img => res/integration}/gray_image.png | Bin {test_img => res/integration}/hut.png | Bin {test_img => res/integration}/red_image.png | Bin {test_img => res/integration}/rot.png | Bin res/test_img/gray_image.png | Bin 0 -> 258 bytes res/test_img/hut.png | Bin 0 -> 1625631 bytes {test_img => res/test_img}/indexed_image.png | Bin res/test_img/red_image.png | Bin 0 -> 539 bytes res/test_img/rot.png | Bin 0 -> 540 bytes {test_img => res/test_img}/town_blue.png | Bin .../test_img}/wrong colorspace_bitdepth.png | Bin .../test_img}/wrong pixel count.png | Bin {test_img => res/test_img}/wrong size.png | Bin src/image_loader/mod.rs | 4 +- src/search_index/mod.rs | 5 ++ tests/integration_test.rs | 82 ++++++++++++++++++ 17 files changed, 91 insertions(+), 3 deletions(-) rename {test_img => res/integration}/gray_image.png (100%) rename {test_img => res/integration}/hut.png (100%) rename {test_img => res/integration}/red_image.png (100%) rename {test_img => res/integration}/rot.png (100%) create mode 100644 res/test_img/gray_image.png create mode 100644 res/test_img/hut.png rename {test_img => res/test_img}/indexed_image.png (100%) create mode 100644 res/test_img/red_image.png create mode 100644 res/test_img/rot.png rename {test_img => res/test_img}/town_blue.png (100%) rename {test_img => res/test_img}/wrong colorspace_bitdepth.png (100%) rename {test_img => res/test_img}/wrong pixel count.png (100%) rename {test_img => res/test_img}/wrong size.png (100%) create mode 100644 tests/integration_test.rs diff --git a/.gitignore b/.gitignore index 7cd589f..a29fb96 100644 --- a/.gitignore +++ b/.gitignore @@ -2,4 +2,5 @@ /Cargo.lock .DS_Store .idea -/.vscode \ No newline at end of file +/.vscode +*.json \ No newline at end of file diff --git a/test_img/gray_image.png b/res/integration/gray_image.png similarity index 100% rename from test_img/gray_image.png rename to res/integration/gray_image.png diff --git a/test_img/hut.png b/res/integration/hut.png similarity index 100% rename from test_img/hut.png rename to res/integration/hut.png diff --git a/test_img/red_image.png b/res/integration/red_image.png similarity index 100% rename from test_img/red_image.png rename to res/integration/red_image.png diff --git a/test_img/rot.png b/res/integration/rot.png similarity index 100% rename from test_img/rot.png rename to res/integration/rot.png diff --git a/res/test_img/gray_image.png b/res/test_img/gray_image.png new file mode 100644 index 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zgDyOJ-E~?#vM>H@MPD;+zQ@+nvDf1ZMziVnxR^x0VfsLF#3k6+{F#nBE*bHQXMM|( mgSvHNb!rTvHI@^5NB{p79unS_D?Hc$0000dde^<^jWWcsdc6RE^Wlv@AFgN^ z#gPp`00009a7bBm001r{001r{0eGc9b^rhX7Age`>x4_Hc93`YRXlW1{qLyw$ z|3R%mYe5hcK}1`7wE0*@F5000P?D@sj?&&*9sPXz!H zKm(qgsP*pv000(AL_t&tTVwpszyL%Dz=X^Ju?Y(R0E5v221enxW&i*H4rN$LW=%~1 eDgXcg2mk;800000(o>TF0000>) -> (String, FeatureResult) { + let bright = image + .pixels() + .iter() + .map(|(r, g, b, _)| (r + g + b) / 3.0 / 255.0) + .sum::() + / image.pixels().len() as f32; + + ( + String::from("average_brightness"), + FeatureResult::Percent(bright), + ) +} + +#[test] +fn test_database_basic() { + let files: Vec = std::fs::read_dir("res/integration/") + .unwrap() + .map(|f| f.unwrap().path()) + .collect(); + + let feats: Vec = vec![average_brightness]; + + let db = Database::new(&files, feats).unwrap(); + + for results in db + .search( + std::path::Path::new("res/integration/gray_image.png"), + average_brightness, + ) + .unwrap() + { + println!( + "path: {} similarity: {}", + results.0.as_os_str().to_str().unwrap(), + results.1 + ); + } +} + +#[test] +fn test_database_files() { + let json = Path::new("db.json"); + + { + let files: Vec = std::fs::read_dir("res/integration/") + .unwrap() + .map(|f| f.unwrap().path()) + .collect(); + + let feats: Vec = vec![average_brightness]; + + let db = Database::new(&files, feats).unwrap(); + + db.write_to_file(json); + } + + { + let db = Database::from_file(json); + + for results in db + .search( + std::path::Path::new("res/integration/gray_image.png"), + average_brightness, + ) + .unwrap() + { + println!( + "path: {} similarity: {}", + results.0.as_os_str().to_str().unwrap(), + results.1 + ); + } + } +} From d12377e9c5b71e6f37a1b7e76c247dffb24a943e Mon Sep 17 00:00:00 2001 From: teridax Date: Sun, 18 Jun 2023 01:07:32 +0200 Subject: [PATCH 6/7] added thread limit option to database created proper README --- README.md | 90 ++++++++++++++++++++++++++++++++++----- src/multithreading/mod.rs | 7 +++ src/search_index/mod.rs | 12 ++++++ 3 files changed, 99 insertions(+), 10 deletions(-) diff --git a/README.md b/README.md index f05ce35..6c0549b 100644 --- a/README.md +++ b/README.md @@ -1,12 +1,82 @@ -# Programmentwurf +# Imsearch -Die Beschreibung der Aufgabenstellung ist unter [Programmentwurf.md](https://github.com/programmieren-mit-rust/programmentwurf/blob/main/Programmentwurf.md) zu finden. Diese `Readme.md` ist durch etwas Sinnvolles zu ersetzen. +Extensible library for creating an image based search engine. The library exposes the functionality to create databases which index various images stored as png files. -# WICHTIG! -Kleiner reminder, wenn ihr Sachen pushed in das repo, die eurer Anischt nach fertig sind (z.B für einen Pull-Request!), bitte mit den folgenden Commands auf Fehler/Warnings überprüfen: -- `cargo fmt` für formattierung -- `cargo clippy` für warnings -- `cargo test doc` für documentation tests -optional: -- `cargo test` für module tests -- `cargo bench` für benchmarks +Files can be compared for similarity by either premade features or custom ones. The basic idea of handling the library is as follows: + +- Create a new database +- Add some features to the database +- Add some images to the database +- Search for some images in the database by a certain feature +- Save the database to disk + +or: + +- Load a database form disk +- Supply generator functions +- Search for some images in the database by a certain feature +- Add some images to the database +- Save the database to disk + +# Examples: +## Define a new feature +```rust +/// Compute the average value of the tree color channels of a given image +fn average_rgb_value(image: Arc>) -> (String, FeatureResult) { + let bright = image + .pixels() + .iter() + .map(|(r, g, b, _)| (r + g + b) / 3.0 / 255.0) + .sum::(); + + ( + String::from("average_brightness"), + FeatureResult::Percent(bright / image.pixels().len() as f32), + ) +} +``` +## Create a new database +```rust +let files: Vec = std::fs::read_dir("image/folder/") + .unwrap() + .map(|f| f.unwrap().path()) + .collect(); + +let feats: Vec = vec![average_rgb_value]; + +let db = Database::new(&files, feats).unwrap(); + +db.write_to_file(json); +``` +## Read a new database and search for similar images +```rust +let db = Database::from_file(Path::new("db.json")); + +for results in db + .search( + std::path::Path::new("path/to/image.png"), + average_brightness, + ) + .unwrap() +{ + println!( + "path: {} similarity: {}", + results.0.as_os_str().to_str().unwrap(), + results.1 + ); +} +``` +# Details +Processing of features for images are multithreaded. Features that are calculated for images only get their results stored. The generator function used to calculate won't get serialized. This implies that +in order to compute the features for images the generator functions have to be passed to the database +after it has been read from a file. +## Limiting thread usage +You can limit the number of threads to be used by calling `set_limit()` on the database. +Note that the thread pool will automatically try to detect the optimal number of threads to use. +As long as no edge case such as running in an over committed virtual machine applies this will be +good enough for most cases. +## Image formats +The library can only handle png files through the `png` crate. Note that not all colortypes are supported. Due to the poor capabilites of the crate pngs with indexed palettes are not functional +will cause functions to return error values. +## Memory usage +The database won't hold all images in ram at the same time. They are loaded on demand when calculating features for them. This may cause increased disk usage but will prevent ram overcommitment. \ No newline at end of file diff --git a/src/multithreading/mod.rs b/src/multithreading/mod.rs index f099cf5..c3f0b6c 100644 --- a/src/multithreading/mod.rs +++ b/src/multithreading/mod.rs @@ -174,6 +174,13 @@ where } } + /// Set a new limit to the amount of used threads. + /// This will only take effect when new threads are created. Currently running threads + /// will continue to do so. + pub fn set_limt(&mut self, limit: NonZeroUsize) { + self.limit = limit; + } + /// Put a new job into the queue to be executed by a thread in the future. /// The priority of the job will determine if the job will be put at the start or end of the queue. /// See [`crate::multithreading::Priority`]. diff --git a/src/search_index/mod.rs b/src/search_index/mod.rs index bc549d5..b6bc935 100644 --- a/src/search_index/mod.rs +++ b/src/search_index/mod.rs @@ -33,6 +33,7 @@ use serde::{Deserialize, Serialize}; use std::collections::HashMap; use std::default::Default; use std::fs; +use std::num::NonZeroUsize; use std::path::{Path, PathBuf}; use std::sync::Arc; @@ -291,6 +292,17 @@ impl Database { }) } + /// Limit the amount of threads to use when processing features + pub fn limit_thread_usage(&mut self, limit: NonZeroUsize) { + self.threadpool.set_limt(limit); + } + + /// Register the supplied generators. + /// All previously registered generators will be replaced with the new generators + pub fn register_generators(&mut self, generators: Vec) { + self.generators = generators; + } + /// with add_image you can add images in a existing database. /// databases from a file are read only. pub fn add_image(&mut self, path: &Path) -> Result<(), &'static str> { From 7928bf0725423721fbe497a8986d43c60e17bd5f Mon Sep 17 00:00:00 2001 From: teridax Date: Sun, 18 Jun 2023 01:09:45 +0200 Subject: [PATCH 7/7] fixed format ... duuuuh --- src/search_index/mod.rs | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/search_index/mod.rs b/src/search_index/mod.rs index b6bc935..62a0497 100644 --- a/src/search_index/mod.rs +++ b/src/search_index/mod.rs @@ -296,7 +296,7 @@ impl Database { pub fn limit_thread_usage(&mut self, limit: NonZeroUsize) { self.threadpool.set_limt(limit); } - + /// Register the supplied generators. /// All previously registered generators will be replaced with the new generators pub fn register_generators(&mut self, generators: Vec) {

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