build fix (#75)

Author: Pzixel

examples/calc_hist.rs

@@ -1,8 +1,8 @@
 extern crate cv;
 
-use cv::*;
 use cv::highgui::*;
 use cv::imgcodecs::ImageReadMode;
+use cv::*;
 
 fn main() {
     ////////////////////////////////

examples/camshift.rs

@@ -1,9 +1,9 @@
 extern crate cv;
-use cv::*;
 use cv::highgui::*;
 use cv::imgproc::*;
 use cv::video::tracking::*;
 use cv::videoio::*;
+use cv::*;
 
 struct SelectionStatus {
     selection: Rect,

examples/display_image.rs

@@ -1,9 +1,9 @@
 // This resembles the OpenCV read image example code:
 // http://docs.opencv.org/3.1.0/db/deb/tutorial_display_image.html
 extern crate cv;
-use cv::*;
 use cv::highgui::*;
 use cv::imgcodecs::ImageReadMode;
+use cv::*;
 
 fn main() {
     let args: Vec<_> = std::env::args().collect();

examples/face_detect.rs

@@ -1,9 +1,9 @@
 extern crate cv;
 
-use cv::*;
 use cv::highgui::*;
 use cv::imgcodecs::*;
 use cv::objdetect::CascadeClassifier;
+use cv::*;
 use std::fs::File;
 use std::io::Read;
 use std::path::PathBuf;
@@ -29,14 +29,7 @@ fn main() {
     // we draw each of them on the image
     result
         .iter()
-        .map(|&r| {
-            mat.rectangle_custom(
-                r.scale(1.2),
-                Scalar::new(255, 255, 0, 255),
-                10,
-                LineType::Line8,
-            )
-        })
+        .map(|&r| mat.rectangle_custom(r.scale(1.2), Scalar::new(255, 255, 0, 255), 10, LineType::Line8))
         .count();
     mat.show("window", 0).unwrap();
 }

examples/hog.rs

@@ -1,10 +1,10 @@
 extern crate cv;
 extern crate getopts;
 
-use cv::*;
 use cv::highgui::*;
 use cv::imgcodecs::*;
 use cv::objdetect::*;
+use cv::*;
 
 #[cfg(feature = "cuda")]
 use cv::cuda::GpuHog as Hog;
@@ -46,9 +46,7 @@ fn run() -> Result<()> {
     let show = matches.opt_present("s");
     let measure = matches.opt_present("m");
 
-    let dir = matches
-        .opt_str("d")
-        .expect("You need to provide the directory");
+    let dir = matches.opt_str("d").expect("You need to provide the directory");
 
     if show {
         highgui_named_window("window", WindowFlag::Autosize).unwrap();
@@ -70,11 +68,7 @@ fn run() -> Result<()> {
 
 fn run_detect_for_image<P: AsRef<Path>, OD: ObjectDetect>(detector: &mut OD, path: P, show: bool, measure: bool) {
     let mut buf = Vec::new();
-    let filename = path.as_ref()
-        .file_stem()
-        .unwrap()
-        .to_string_lossy()
-        .into_owned();
+    let filename = path.as_ref().file_stem().unwrap().to_string_lossy().into_owned();
     let frame_num = filename.parse::<usize>().unwrap();
     File::open(path).unwrap().read_to_end(&mut buf).unwrap();
     let mat = Mat::image_decode(&buf, ImageReadMode::Grayscale);
@@ -92,10 +86,7 @@ fn run_detect_for_image<P: AsRef<Path>, OD: ObjectDetect>(detector: &mut OD, pat
     }
 
     if show {
-        results
-            .iter()
-            .map(|&(r, _w)| mat.rectangle(r.scale(0.6)))
-            .count();
+        results.iter().map(|&(r, _w)| mat.rectangle(r.scale(0.6))).count();
         mat.show("window", 0).unwrap();
     }
 }

examples/hs_hist.rs

@@ -1,9 +1,9 @@
 extern crate cv;
 
-use cv::*;
 use cv::highgui::*;
 use cv::imgcodecs::ImageReadMode;
 use cv::imgproc::ColorConversion;
+use cv::*;
 
 fn main() {
     ////////////////////////////////
@@ -64,12 +64,7 @@ fn main() {
             let intensity = (bin_val * 255.0 / max_val) as i32;
             let rect = Rect::new(h * scale + 1, s * scale + 1, scale - 1, scale - 1);
 
-            hist_image.rectangle_custom(
-                rect,
-                Scalar::all(intensity),
-                LineType::Filled as i32,
-                LineType::Line8,
-            );
+            hist_image.rectangle_custom(rect, Scalar::all(intensity), LineType::Filled as i32, LineType::Line8);
         }
     }
 

src/cuda.rs

@@ -4,11 +4,11 @@
 use super::core::*;
 use super::errors::*;
 use super::objdetect::{CSvmDetector, HogParams, ObjectDetect, SvmDetector};
-use ::*;
 use failure::Error;
 use std::ffi::CString;
 use std::os::raw::{c_char, c_double, c_int};
 use std::path::Path;
+use *;
 
 /// Opaque data struct for C/C++ cv::cuda::GpuMat bindings
 #[derive(Clone, Copy, Debug)]
@@ -239,11 +239,7 @@ impl GpuHog {
         unsafe {
             cv_cuda_hog_detect(self.inner, mat.inner, &mut found);
         }
-        found
-            .unpack()
-            .into_iter()
-            .map(|r| (r, 0f64))
-            .collect::<Vec<_>>()
+        found.unpack().into_iter().map(|r| (r, 0f64)).collect::<Vec<_>>()
     }
 
     /// Detects and returns the results with confidence (scores)
@@ -409,10 +405,7 @@ impl ObjectDetect for GpuCascade {
     fn detect(&self, image: &Mat) -> Vec<(Rect, f64)> {
         let mut gpu_mat = GpuMat::default();
         gpu_mat.upload(image);
-        self.detect_multiscale(&gpu_mat)
-            .into_iter()
-            .map(|r| (r, 0.0))
-            .collect()
+        self.detect_multiscale(&gpu_mat).into_iter().map(|r| (r, 0.0)).collect()
     }
 }
 

src/features2d/descriptor_matcher.rs

@@ -1,6 +1,6 @@
 //! Provide types for matching keypoint descriptors
-use ::*;
 use std::os::raw::{c_char, c_int};
+use *;
 
 enum CDescriptorMatcher {}
 
@@ -131,12 +131,7 @@ impl DescriptorMatcher {
     pub fn knn_match(&self, query_descriptors: &Mat, k: usize) -> Vec<Vec<DMatch>> {
         let mut matches = CVec::<CVec<DMatch>>::default();
         unsafe {
-            cv_matcher_knn_match(
-                self.value,
-                query_descriptors.inner,
-                k as c_int,
-                &mut matches,
-            );
+            cv_matcher_knn_match(self.value, query_descriptors.inner, k as c_int, &mut matches);
         }
         matches.unpack()
     }

src/features2d/mser.rs

@@ -1,7 +1,7 @@
 //! Provide the type that encapsulates all the parameters of the MSER extraction algorithm
-use ::*;
 use core::*;
 use std::os::raw::*;
+use *;
 
 enum CMSER {}
 

src/features2d/sift.rs

@@ -1,8 +1,8 @@
 //! Provide the type that encapsulates all the parameters of the SIFT extraction algorithm
 use super::*;
-use ::*;
 use core::*;
 use std::os::raw::*;
+use *;
 
 enum CSIFT {}
 
@@ -40,15 +40,7 @@ impl SIFT {
         edge_threshold: f64,
         sigma: f64,
     ) -> Self {
-        let sift = unsafe {
-            cv_sift_new(
-                features,
-                octave_layers,
-                contrast_threshold,
-                edge_threshold,
-                sigma,
-            )
-        };
+        let sift = unsafe { cv_sift_new(features, octave_layers, contrast_threshold, edge_threshold, sigma) };
         SIFT { value: sift }
     }
 }
@@ -120,14 +112,7 @@ impl Feature2D for SIFT {
         let mut keypoints = CVec::<KeyPoint>::default();
         let descriptors = CMat::new();
         unsafe {
-            cv_sift_detect_and_compute(
-                self.value,
-                image.inner,
-                mask.inner,
-                &mut keypoints,
-                descriptors,
-                false,
-            );
+            cv_sift_detect_and_compute(self.value, image.inner, mask.inner, &mut keypoints, descriptors, false);
         }
         (keypoints.unpack(), Mat::from_raw(descriptors))
     }

src/features2d/surf.rs

@@ -1,8 +1,8 @@
 //! Provide the type that encapsulates all the parameters of the SURF extraction algorithm
 use super::*;
-use ::*;
 use core::*;
 use std::os::raw::*;
+use *;
 
 enum CSURF {}
 
@@ -106,14 +106,7 @@ impl Feature2D for SURF {
         let mut keypoints = CVec::<KeyPoint>::default();
         let descriptors = CMat::new();
         unsafe {
-            cv_surf_detect_and_compute(
-                self.value,
-                image.inner,
-                mask.inner,
-                &mut keypoints,
-                descriptors,
-                false,
-            );
+            cv_surf_detect_and_compute(self.value, image.inner, mask.inner, &mut keypoints, descriptors, false);
         }
         (keypoints.unpack(), Mat::from_raw(descriptors))
     }

src/highgui.rs

@@ -1,10 +1,10 @@
 //! highgui: high-level GUI
 use failure::Error;
+use mat::*;
 use std::ffi::CString;
 use std::mem;
 use std::os::raw::{c_char, c_int, c_void};
 use std::ptr;
-use mat::*;
 
 extern "C" {
     fn cv_named_window(name: *const c_char, flags: WindowFlag);

src/imgcodecs.rs

@@ -1,13 +1,13 @@
 //! Image file reading and writing, see [OpenCV
 //! imgcodecs](http://docs.opencv.org/3.1.0/d4/da8/group__imgcodecs.html).
 
-use ::*;
 use errors::*;
+use failure::Error;
 use mat::*;
 use std::ffi::CString;
 use std::os::raw::c_char;
 use std::path::Path;
-use failure::Error;
+use *;
 
 extern "C" {
     fn cv_imread(input: *const c_char, flags: ImageReadMode) -> *mut CMat;

src/imgproc.rs

@@ -1,8 +1,8 @@
 //! Image processing, see [OpenCV
 //! imgproc](http://docs.opencv.org/3.1.0/d7/dbd/group__imgproc.html).
 
-use super::*;
 use super::core::*;
+use super::*;
 use std::os::raw::{c_double, c_float, c_int};
 
 // =============================================================================
@@ -120,7 +120,7 @@ pub enum HistogramComparisionMethod {
 /// [threshold](../struct.Mat.html#method.threshold).
 #[repr(C)]
 #[derive(Debug, Clone, Copy, Eq, PartialEq, Hash)]
-#[allow(non_camel_case_types, missing_docs)]
+#[allow(missing_docs)]
 pub enum ThresholdType {
     Binary = 0,
     BinaryInv = 1,
@@ -549,10 +549,6 @@ impl Mat {
     }
 
     fn matrix_to_vec<T, MElem: AsRef<[T]>, M: AsRef<[MElem]>>(value: M) -> Vec<*const T> {
-        value
-            .as_ref()
-            .iter()
-            .map(|x| x.as_ref().as_ptr())
-            .collect::<Vec<_>>()
+        value.as_ref().iter().map(|x| x.as_ref().as_ptr()).collect::<Vec<_>>()
     }
 }

src/lib.rs

@@ -20,28 +20,28 @@ extern crate bytes;
 extern crate failure;
 
 pub mod core;
+#[cfg(feature = "cuda")]
+pub mod cuda;
 pub mod errors;
-pub mod imgproc;
+pub mod features2d;
+pub mod highgui;
 pub mod imgcodecs;
+pub mod imgproc;
 pub mod mat;
-pub mod videoio;
-pub mod highgui;
-pub mod video;
 pub mod objdetect;
-pub mod features2d;
 pub mod text;
-#[cfg(feature = "cuda")]
-pub mod cuda;
+pub mod video;
+pub mod videoio;
 
 pub use core::*;
 pub use mat::*;
 
+use errors::*;
+use failure::Error;
 use std::ffi::{CStr, CString};
 use std::mem;
 use std::os::raw::{c_char, c_void};
 use std::path::Path;
-use failure::Error;
-use errors::*;
 
 extern "C" {
     fn c_drop(value: *mut c_void);
@@ -159,9 +159,7 @@ unsafe fn unpack<T: NestedVec, U, F>(v: &CVec<T>, mut f: F) -> Vec<U>
 where
     F: FnMut(&T) -> U,
 {
-    (0..v.size)
-        .map(|i| f(&*v.array.offset(i as isize)))
-        .collect()
+    (0..v.size).map(|i| f(&*v.array.offset(i as isize))).collect()
 }
 
 pub(crate) trait Unpack {
@@ -226,9 +224,7 @@ impl Unpack for CDisposableString {
     type Out = String;
 
     fn unpack(&self) -> Self::Out {
-        unsafe { CStr::from_ptr(self.value) }
-            .to_string_lossy()
-            .into_owned()
+        unsafe { CStr::from_ptr(self.value) }.to_string_lossy().into_owned()
     }
 }