upd

.gitignore

@@ -1,10 +1,13 @@
 example/main
 example/sample.jpg
-example/coco.data
 example/coco.names
-example/yolov3-320.cfg
-example/yolov3-320.weights
-example/yolov3-416.cfg
-example/yolov3-416.weights
 example/yolov3.cfg
-example/yolov3.weights
+example/yolov3.weights
+darknet.h
+*.so
+predictions.png
+predictions.jpg
+main
+bad.list
+data
+.vscode

README.md

@@ -1,19 +1,23 @@
-# FORK of go-darknet https://github.com/gyonluks/go-darknet
-# go-darknet: Go bindings for Darknet
-
 [![GoDoc](https://godoc.org/github.com/LdDl/go-darknet?status.svg)](https://godoc.org/github.com/LdDl/go-darknet)
 
-go-darknet is a Go package, which uses Cgo to enable Go applications to use
+# go-darknet: Go bindings for Darknet
-YOLO in [Darknet].
+### go-darknet is a Go package, which uses Cgo to enable Go applications to use YOLO in [Darknet].
 
-## License
+#### Since this repository https://github.com/gyonluks/go-darknet  is no longer maintained I decided to move on and make little different bindings for Darknet.
+#### This bindings aren't for [official implementation](https://github.com/pjreddie/darknet) but for [AlexeyAB's fork](https://github.com/AlexeyAB/darknet).
 
-go-darknet follows [Darknet]'s [license].
+
+## Table of Contents
+
+- [Requirements](#requirements)
+- [Installation](#installation)
+- [Usage](#usage)
+- [Documentation](#documentation)
+- [License](#license)
 
 ## Requirements
 
-For proper codebase please use fork of [darknet](https://github.com/LdDl/darknet)
+For proper codebase please use fork of [darknet](https://github.com/AlexeyAB/darknet). Latest commit I've tested [here](https://github.com/AlexeyAB/darknet/commit/a234a5022333c930de08f2470184ef4e0c68356e)
-There are instructions for defining GPU/CPU + function for loading image from memory.
 
 In order to use go-darknet, `libdarknet.so` should be available in one of
 the following locations:
@@ -26,53 +30,85 @@ Also, [darknet.h] should be available in one of the following locations:
 * /usr/include
 * /usr/local/include
 
-## Install
+To achieve it, after Darknet compilation (via make) execute following command:
+```shell
+sudo cp libdarknet.so /usr/lib/libdarknet.so && sudo cp include/darknet.h /usr/local/include/darknet.h
+```
+Note: do not forget to set LIBSO=1 in Makefile before executing 'make':
+```Makefile
+LIBSO=1
+```
+## Installation
 
 ```shell
 go get github.com/LdDl/go-darknet
 ```
 
-The package name is `darknet`.
+## Usage
 
-## Use
+Example Go program is provided in the [example] directory. Please refer to the code on how to use this Go package.
 
-Example Go code/program is provided in the [example] directory. Please
+Building and running program:
-refer to the code on how to use this Go package.
-
-Building and running the example program is easy:
 
+Navigate to [example] folder
 ```shell
 cd $GOPATH/github.com/LdDl/go-darknet/example
-#download dataset (coco.names, coco.data, weights and configuration file)
+```
+
+Download dataset (sample of image, coco.names, yolov3.cfg, yolov3.weights).
+```shell
 ./download_data.sh
-#build program
+```
-go build main.go
+Note: you don't need *coco.data* file anymore, because sh-script above does insert *coco.names* into 'names' filed in *yolov3.cfg* file (so AlexeyAB's fork can deal with it properly)
-#run it
+So last rows in yolov3.cfg file will look like:
-./main -configFile yolov3.cfg --dataConfigFile coco.data -imageFile sample.jpg -weightsFile yolov3.weights
+```bash
+......
+[yolo]
+mask = 0,1,2
+anchors = 10,13,  16,30,  33,23,  30,61,  62,45,  59,119,  116,90,  156,198,  373,326
+classes=80
+num=9
+jitter=.3
+ignore_thresh = .7
+truth_thresh = 1
+random=1
+names = coco.names # this is path to coco.names file
+```
+
+Build and run program
+```
+go build main.go && ./main --configFile=yolov3.cfg --weightsFile=yolov3.weights --imageFile=sample.jpg
 ```
 
 Output should be something like this:
 ```shell
-truck (7): 95.6232% | start point: (78,69) | end point: (222, 291)
+truck (7): 49.5197% | start point: (0,136) | end point: (85, 311)
-truck (7): 81.5451% | start point: (0,114) | end point: (90, 329)
+car (2): 36.3747% | start point: (95,152) | end point: (186, 283)
-car (2): 99.8129% | start point: (269,192) | end point: (421, 323)
+truck (7): 48.4384% | start point: (95,152) | end point: (186, 283)
-car (2): 99.6615% | start point: (567,188) | end point: (743, 329)
+truck (7): 45.6590% | start point: (694,178) | end point: (798, 310)
-car (2): 99.5795% | start point: (425,196) | end point: (544, 309)
+car (2): 76.8379% | start point: (1,145) | end point: (84, 324)
-car (2): 96.5765% | start point: (678,185) | end point: (797, 320)
+truck (7): 25.5731% | start point: (107,89) | end point: (215, 263)
-car (2): 91.5156% | start point: (391,209) | end point: (441, 291)
+car (2): 99.8783% | start point: (511,185) | end point: (748, 328)
-car (2): 88.1737% | start point: (507,193) | end point: (660, 324)
+car (2): 99.8194% | start point: (261,189) | end point: (427, 322)
-car (2): 83.6209% | start point: (71,199) | end point: (102, 281)
+car (2): 99.6408% | start point: (426,197) | end point: (539, 311)
-bicycle (1): 59.4000% | start point: (183,276) | end point: (257, 407)
+car (2): 74.5610% | start point: (692,186) | end point: (796, 316)
-person (0): 96.3393% | start point: (142,119) | end point: (285, 356)
+car (2): 72.8053% | start point: (388,206) | end point: (437, 276)
+bicycle (1): 72.2932% | start point: (178,270) | end point: (268, 406)
+person (0): 97.3026% | start point: (143,135) | end point: (268, 343)
 ```
 ## Documentation
 
 See go-darknet's API documentation at [GoDoc].
 
+## License
+
+go-darknet follows [Darknet]'s [license].
+
+
 [Darknet]: https://github.com/pjreddie/darknet
 [license]: https://github.com/pjreddie/darknet/blob/master/LICENSE
-[darknet.h]: https://github.com/pjreddie/darknet/blob/master/include/darknet.h
+[darknet.h]: https://github.com/AlexeyAB/darknet/blob/master/include/darknet.h
-[include/darknet.h]: https://github.com/pjreddie/darknet/blob/master/include/darknet.h
+[include/darknet.h]: https://github.com/AlexeyAB/darknet/blob/master/include/darknet.h
-[Makefile]: https://github.com/pjreddie/darknet/blob/master/Makefile
+[Makefile]: https://github.com/alexeyab/darknet/blob/master/Makefile
 [example]: /example
 [GoDoc]: https://godoc.org/github.com/LdDl/go-darknet

classes.c

@@ -0,0 +1,8 @@
+#include <stdlib.h>
+
+char *get_class_name(char **names, int index, int names_len) {
+    if (index >= names_len) {
+        return NULL;
+    }
+    return names[index];
+}

classes.go

@@ -0,0 +1,14 @@
+package darknet
+
+// #include <stdlib.h>
+// #include "classes.h"
+import "C"
+
+func makeClassNames(names **C.char, classes int) []string {
+	out := make([]string, classes)
+	for i := 0; i < classes; i++ {
+		n := C.get_class_name(names, C.int(i), C.int(classes))
+		out[i] = C.GoString(n)
+	}
+	return out
+}

classes.h

@@ -0,0 +1,3 @@
+#pragma once
+
+extern char *get_class_name(char **names, int index, int names_len);

classnames.c

@@ -1,24 +0,0 @@
-#include <stdlib.h>
-
-#include <darknet.h>
-
-void free_class_names(char **names)
-{
-    free(names);
-}
-
-char ** read_class_names(char *data_cfg)
-{
-    list *options = read_data_cfg(data_cfg);
-    char *name_list = option_find_str(options, "names", "data/names.list");
-    return get_labels(name_list);
-}
-
-char * get_class_name(char **names, int index, int names_len)
-{
-    if (index >= names_len) {
-        return NULL;
-    }
-
-    return names[index];
-}

classnames.go

@@ -1,28 +0,0 @@
-package darknet
-
-// #include <stdlib.h>
-// #include "classnames.h"
-import "C"
-import "unsafe"
-
-func freeClassNames(names **C.char) {
-	C.free_class_names(names)
-}
-
-func loadClassNames(dataConfigFile string) **C.char {
-	d := C.CString(dataConfigFile)
-	defer C.free(unsafe.Pointer(d))
-
-	return C.read_class_names(d)
-}
-
-func makeClassNames(names **C.char, classes int) []string {
-	out := make([]string, classes)
-	for i := 0; i < classes; i++ {
-		n := C.get_class_name(names, C.int(i), C.int(classes))
-		s := C.GoString(n)
-		out[i] = s
-	}
-
-	return out
-}

classnames.h

@@ -1,5 +0,0 @@
-#pragma once
-
-extern void free_class_names(char **names);
-extern char ** read_class_names(char *data_cfg);
-extern char * get_class_name(char **names, int index, int names_len);

darknet.go

@@ -1,5 +1,5 @@
 package darknet
 
 // #cgo CFLAGS: -I/usr/local/include -I/usr/local/cuda/include
-// #cgo LDFLAGS: -L/usr/local/lib -ldarknet -lm
+// #cgo LDFLAGS: -L/usr/lib -ldarknet -lm
 import "C"

detection.c

@@ -1,19 +1,17 @@
 #include <darknet.h>
 
-detection * get_detection(detection *dets, int index, int dets_len)
+#include "detection.h"
-{
+
+detection *get_detection(detection *dets, int index, int dets_len) {
     if (index >= dets_len) {
         return NULL;
     }
-
     return dets + index;
 }
 
-float get_detection_probability(detection *det, int index, int prob_len)
+float get_detection_probability(detection *det, int index, int prob_len) {
-{
     if (index >= prob_len) {
         return .0;
     }
-
     return det->prob[index];
-}
+}

detection.go

@@ -25,19 +25,15 @@ type DetectionResult struct {
 	OverallTimeTaken     time.Duration
 }
 
-func makeDetection(img *Image, det *C.detection, threshold float32, classes int,
+func makeDetection(img *DarknetImage, det *C.detection, threshold float32, classes int, classNames []string) *Detection {
-	classNames []string) *Detection {
-
 	if det == nil {
 		return &Detection{}
 	}
 	dClassIDs := make([]int, 0)
 	dClassNames := make([]string, 0)
 	dProbs := make([]float32, 0)
-
 	for i := 0; i < int(classes); i++ {
-		dProb := float32(
+		dProb := float32(C.get_detection_probability(det, C.int(i), C.int(classes)))
-			C.get_detection_probability(det, C.int(i), C.int(classes)))
 		if dProb > threshold {
 			dClassIDs = append(dClassIDs, i)
 			cN := classNames[i]
@@ -45,7 +41,6 @@ func makeDetection(img *Image, det *C.detection, threshold float32, classes int,
 			dProbs = append(dProbs, dProb*100)
 		}
 	}
-
 	fImgW := C.float(img.Width)
 	fImgH := C.float(img.Height)
 	halfRatioW := det.bbox.w / 2.0
@@ -66,19 +61,16 @@ func makeDetection(img *Image, det *C.detection, threshold float32, classes int,
 		ClassNames:    dClassNames,
 		Probabilities: dProbs,
 	}
-
 	return &out
 }
 
-func makeDetections(img *Image, detections *C.detection, detectionsLength int,
+func makeDetections(img *DarknetImage, detections *C.detection, detectionsLength int, threshold float32, classes int, classNames []string) []*Detection {
-	threshold float32, classes int, classNames []string) []*Detection {
 	// Make list of detection objects.
 	ds := make([]*Detection, detectionsLength)
 	for i := 0; i < int(detectionsLength); i++ {
-		det := C.get_detection(detections, C.int(i), C.int(classes))
+		det := C.get_detection(detections, C.int(i), C.int(detectionsLength))
 		d := makeDetection(img, det, threshold, classes, classNames)
 		ds[i] = d
 	}
-
 	return ds
 }

detection.h

@@ -2,5 +2,5 @@
 
 #include <darknet.h>
 
-extern detection * get_detection(detection *dets, int index, int dets_len);
+extern detection *get_detection(detection *dets, int index, int dets_len);
 extern float get_detection_probability(detection *det, int index, int prob_len);

example/README.md

@@ -2,33 +2,53 @@
 
 This is an example Go application which uses go-darknet.
 
-## Install
-
-```shell
-go get github.com/LdDl/go-darknet
-go install github.com/LdDl/go-darknet/example
-
-# Alternatively
-go build github.com/LdDl/go-darknet/example
-```
-
-An executable named `example` should be in your `$GOPATH/bin`, if using
-`go install`; otherwise it will be in your current working directory (`$PWD`),
-if using `go build`.
 
 ## Run
 
+Navigate to example folder:
+
 ```shell
-$GOPATH/bin/example
+cd $GOPATH/github.com/LdDl/go-darknet/example
 ```
-or
+
-```go
+Download dataset (sample of image, coco.names, yolov3.cfg, yolov3.weights).
-go run main.go -configFile=yolov3-320.cfg -dataConfigFile=coco.data -imageFile=sample.jpg -weightsFile=yolov3.weights
+```shell
+./download_data.sh
+```
+Note: you don't need *coco.data* file anymore, because script below does insert *coco.names* into 'names' filed in *yolov3.cfg* file (so AlexeyAB's fork can deal with it properly)
+So last rows in yolov3.cfg file will look like:
+```bash
+......
+[yolo]
+mask = 0,1,2
+anchors = 10,13,  16,30,  33,23,  30,61,  62,45,  59,119,  116,90,  156,198,  373,326
+classes=80
+num=9
+jitter=.3
+ignore_thresh = .7
+truth_thresh = 1
+random=1
+names = coco.names # this is path to coco.names file
 ```
-Please ensure that `libdarknet.so` is in your `$LD_LIBRARY_PATH`.
 
-## Notes
+Build and run program
+```
+go build main.go && ./main --configFile=yolov3.cfg --weightsFile=yolov3.weights --imageFile=sample.jpg
+```
 
-Note that the bounding boxes' values are ratios. To get the actual values, use
+Output should be something like this:
-the ratios and multiply with either the image's width or height, depending on
+```shell
-which ratio is used.
+truck (7): 49.5197% | start point: (0,136) | end point: (85, 311)
+car (2): 36.3747% | start point: (95,152) | end point: (186, 283)
+truck (7): 48.4384% | start point: (95,152) | end point: (186, 283)
+truck (7): 45.6590% | start point: (694,178) | end point: (798, 310)
+car (2): 76.8379% | start point: (1,145) | end point: (84, 324)
+truck (7): 25.5731% | start point: (107,89) | end point: (215, 263)
+car (2): 99.8783% | start point: (511,185) | end point: (748, 328)
+car (2): 99.8194% | start point: (261,189) | end point: (427, 322)
+car (2): 99.6408% | start point: (426,197) | end point: (539, 311)
+car (2): 74.5610% | start point: (692,186) | end point: (796, 316)
+car (2): 72.8053% | start point: (388,206) | end point: (437, 276)
+bicycle (1): 72.2932% | start point: (178,270) | end point: (268, 406)
+person (0): 97.3026% | start point: (143,135) | end point: (268, 343)
+```

example/download_data.sh

@@ -1,6 +1,5 @@
 wget --output-document=sample.jpg https://cdn-images-1.medium.com/max/800/1*EYFejGUjvjPcc4PZTwoufw.jpeg
-wget --output-document=coco.names https://raw.githubusercontent.com/pjreddie/darknet/master/data/coco.names
+wget --output-document=coco.names https://raw.githubusercontent.com/AlexeyAB/darknet/master/data/coco.names
-wget --output-document=coco.data https://raw.githubusercontent.com/pjreddie/darknet/master/cfg/coco.data
+wget --output-document=yolov3.cfg https://raw.githubusercontent.com/AlexeyAB/darknet/master/cfg/yolov3.cfg
-sed -i 's#data/coco.names#coco.names#g' coco.data
+sed -i -e "\$anames = coco.names" yolov3.cfg
-wget --output-document=yolov3.cfg https://raw.githubusercontent.com/pjreddie/darknet/master/cfg/yolov3.cfg
 wget --output-document=yolov3.weights https://pjreddie.com/media/files/yolov3.weights

example/main.go

@@ -1,15 +1,19 @@
 package main
 
 import (
+	"bytes"
 	"flag"
 	"fmt"
+	"image"
+	"image/jpeg"
 	"log"
+	"math"
+	"os"
 
 	darknet "github.com/LdDl/go-darknet"
+	"github.com/disintegration/imaging"
 )
 
-var dataConfigFile = flag.String("dataConfigFile", "",
-	"Path to data configuration file. Example: cfg/coco.data")
 var configFile = flag.String("configFile", "",
 	"Path to network layer configuration file. Example: cfg/yolov3.cfg")
 var weightsFile = flag.String("weightsFile", "",
@@ -24,7 +28,7 @@ func printError(err error) {
 func main() {
 	flag.Parse()
 
-	if *dataConfigFile == "" || *configFile == "" || *weightsFile == "" ||
+	if *configFile == "" || *weightsFile == "" ||
 		*imageFile == "" {
 
 		flag.Usage()
@@ -33,10 +37,9 @@ func main() {
 
 	n := darknet.YOLONetwork{
 		GPUDeviceIndex:           0,
-		DataConfigurationFile:    *dataConfigFile,
 		NetworkConfigurationFile: *configFile,
 		WeightsFile:              *weightsFile,
-		Threshold:                .5,
+		Threshold:                .25,
 	}
 	if err := n.Init(); err != nil {
 		printError(err)
@@ -44,14 +47,23 @@ func main() {
 	}
 	defer n.Close()
 
-	img, err := darknet.ImageFromPath(*imageFile)
+	infile, err := os.Open(*imageFile)
 	if err != nil {
-		printError(err)
+		panic(err.Error())
-		return
+	}
+	defer infile.Close()
+	src, err := jpeg.Decode(infile)
+	if err != nil {
+		panic(err.Error())
 	}
-	defer img.Close()
 
-	dr, err := n.Detect(img)
+	imgDarknet, err := darknet.Image2Float32(src)
+	if err != nil {
+		panic(err.Error())
+	}
+	defer imgDarknet.Close()
+
+	dr, err := n.Detect(imgDarknet)
 	if err != nil {
 		printError(err)
 		return
@@ -60,7 +72,6 @@ func main() {
 	log.Println("Network-only time taken:", dr.NetworkOnlyTimeTaken)
 	log.Println("Overall time taken:", dr.OverallTimeTaken, len(dr.Detections))
 	for _, d := range dr.Detections {
-
 		for i := range d.ClassIDs {
 			bBox := d.BoundingBox
 			fmt.Printf("%s (%d): %.4f%% | start point: (%d,%d) | end point: (%d, %d)\n",
@@ -69,6 +80,43 @@ func main() {
 				bBox.StartPoint.X, bBox.StartPoint.Y,
 				bBox.EndPoint.X, bBox.EndPoint.Y,
 			)
+
+			// Uncomment code below if you want save cropped objects to files
+			// minX, minY := float64(bBox.StartPoint.X), float64(bBox.StartPoint.Y)
+			// maxX, maxY := float64(bBox.EndPoint.X), float64(bBox.EndPoint.Y)
+			// rect := image.Rect(round(minX), round(minY), round(maxX), round(maxY))
+			// err := saveToFile(src, rect, fmt.Sprintf("crop_%d.jpeg", i))
+			// if err != nil {
+			// 	fmt.Println(err)
+			// 	return
+			// }
 		}
 	}
 }
+
+func imageToBytes(img image.Image) ([]byte, error) {
+	buf := new(bytes.Buffer)
+	err := jpeg.Encode(buf, img, nil)
+	return buf.Bytes(), err
+}
+
+func round(v float64) int {
+	if v >= 0 {
+		return int(math.Floor(v + 0.5))
+	}
+	return int(math.Ceil(v - 0.5))
+}
+
+func saveToFile(imgSrc image.Image, bbox image.Rectangle, fname string) error {
+	rectcropimg := imaging.Crop(imgSrc, bbox)
+	f, err := os.Create(fname)
+	if err != nil {
+		return err
+	}
+	defer f.Close()
+	err = jpeg.Encode(f, rectcropimg, nil)
+	if err != nil {
+		return err
+	}
+	return nil
+}

image.c

@@ -0,0 +1,13 @@
+#include <darknet.h>
+
+void fill_image_f32(image* im, int w, int h, int c, float* data) {
+    int i;
+    for (i = 0; i < w*h*c; i++) {
+        im->data[i] = data[i];
+    }
+}
+
+void set_data_f32_val(float* data, int index, float value) {
+    data[index] = value;
+}
+

image.go

@@ -1,66 +1,64 @@
 package darknet
 
-// #include <darknet.h>
+// #include <stdlib.h>
+// #include "image.h"
 import "C"
 import (
-	"errors"
+	"image"
 	"unsafe"
+
+	"golang.org/x/image/draw"
 )
 
-// Image represents the image buffer.
+// DarknetImage represents the image buffer.
-type Image struct {
+type DarknetImage struct {
 	Width  int
 	Height int
-
+	image  C.image
-	image C.image
 }
 
-var (
-	errUnableToLoadImage = errors.New("unable to load image")
-)
-
 // Close and release resources.
-func (img *Image) Close() error {
+func (img *DarknetImage) Close() error {
 	C.free_image(img.image)
 	return nil
 }
 
-// ImageFromPath reads image file specified by path.
+// https://stackoverflow.com/questions/33186783/get-a-pixel-array-from-from-golang-image-image/59747737#59747737
-func ImageFromPath(path string) (*Image, error) {
+func imgTofloat32(src image.Image) []float32 {
-	p := C.CString(path)
+	bounds := src.Bounds()
-	defer C.free(unsafe.Pointer(p))
+	width, height := bounds.Max.X, bounds.Max.Y
-
+	srcRGBA := image.NewRGBA(src.Bounds())
-	img := Image{
+	draw.Copy(srcRGBA, image.Point{}, src, src.Bounds(), draw.Src, nil)
-		image: C.load_image_color(p, 0, 0),
+	ans := []float32{}
+	red := []float32{}
+	green := []float32{}
+	blue := []float32{}
+	for y := 0; y < height; y++ {
+		for x := 0; x < width; x++ {
+			idxSource := (y*width + x) * 4
+			pix := srcRGBA.Pix[idxSource : idxSource+4]
+			rpix, gpix, bpix := float32(pix[0])/257.0, float32(pix[1])/257.0, float32(pix[2])/257.0
+			red = append(red, rpix)
+			green = append(green, gpix)
+			blue = append(blue, bpix)
+		}
 	}
-
+	ans = append(ans, red...)
-	if img.image.data == nil {
+	ans = append(ans, green...)
-		return nil, errUnableToLoadImage
+	ans = append(ans, blue...)
-	}
+	return ans
-
-	img.Width = int(img.image.w)
-	img.Height = int(img.image.h)
-
-	return &img, nil
 }
 
-// ImageFromMemory reads image file data represented by the specified byte
+// Image2Float32 Returns []float32 representation of image.Image
-// slice.
+func Image2Float32(img image.Image) (*DarknetImage, error) {
-func ImageFromMemory(buf []byte) (*Image, error) {
+	ans := imgTofloat32(img)
-	cBuf := C.CBytes(buf)
+	width := img.Bounds().Dx()
-	defer C.free(cBuf)
+	height := img.Bounds().Dy()
-
+	imgDarknet := &DarknetImage{
-	img := Image{
+		Width:  width,
-		image: C.load_image_from_memory_color((*C.uchar)(cBuf),
+		Height: height,
-			C.int(len(buf)), 0, 0),
+		image:  C.make_image(C.int(width), C.int(height), 3),
 	}
-
+	C.fill_image_f32(&imgDarknet.image, C.int(width), C.int(height), 3, (*C.float)(unsafe.Pointer(&ans[0])))
-	if img.image.data == nil {
+	return imgDarknet, nil
-		return nil, errUnableToLoadImage
-	}
-
-	img.Width = int(img.image.w)
-	img.Height = int(img.image.h)
-
-	return &img, nil
 }

image.h

@@ -0,0 +1,6 @@
+#pragma once
+
+#include <darknet.h>
+
+extern void fill_image_f32(image *im, int w, int h, int c, float* data);
+extern void set_data_f32_val(float* data, int index, float value);

network.c

@@ -4,19 +4,25 @@
 
 #include "network.h"
 
-int get_network_layer_classes(network *n, int index) {
+#include "detection.h"
-	return n->layers[index].classes;
-}
 
-struct network_box_result perform_network_detect(network *n, image *img, int classes, float thresh, float hier_thresh, float nms) {
+struct network_box_result perform_network_detect(network *n, image *img, int classes, float thresh, float hier_thresh, float nms, int letter_box) {
-    image sized = letterbox_image(*img, n->w, n->h);
+    image sized;
+    if (letter_box) {
+        sized = letterbox_image(*img, n->w, n->h);
+    } else {
+        sized = resize_image(*img, n->w, n->h);
+    }
     struct network_box_result result = { NULL };
     float *X = sized.data;
-    network_predict(n, X);
+    network_predict(*n, X);
-    result.detections = get_network_boxes(n, img->w, img->h,thresh, hier_thresh, 0, 1, &result.detections_len);
+    int nboxes = 0;
+    detection *dets = get_network_boxes(n, img->w, img->h, thresh, hier_thresh, 0, 1, &nboxes, letter_box);
+    result.detections = get_network_boxes(n, img->w, img->h, thresh, hier_thresh, 0, 1, &result.detections_len, letter_box);
     if (nms) {
         do_nms_sort(result.detections, result.detections_len, classes, nms);
     }
     free_image(sized);
     return result;
 }
+

network.go

@@ -15,7 +15,6 @@ import (
 // YOLONetwork represents a neural network using YOLO.
 type YOLONetwork struct {
 	GPUDeviceIndex           int
-	DataConfigurationFile    string
 	NetworkConfigurationFile string
 	WeightsFile              string
 	Threshold                float32
@@ -29,8 +28,8 @@ type YOLONetwork struct {
 }
 
 var (
-	errNetworkNotInit      = errors.New("network not initialised")
+	errNetworkNotInit      = errors.New("Network not initialised")
-	errUnableToInitNetwork = errors.New("unable to initialise")
+	errUnableToInitNetwork = errors.New("Unable to initialise")
 )
 
 // Init the network.
@@ -39,29 +38,18 @@ func (n *YOLONetwork) Init() error {
 	defer C.free(unsafe.Pointer(nCfg))
 	wFile := C.CString(n.WeightsFile)
 	defer C.free(unsafe.Pointer(wFile))
-
 	// GPU device ID must be set before `load_network()` is invoked.
 	C.cuda_set_device(C.int(n.GPUDeviceIndex))
 	n.cNet = C.load_network(nCfg, wFile, 0)
-
 	if n.cNet == nil {
 		return errUnableToInitNetwork
 	}
-
-	C.set_batch_network(n.cNet, 1)
 	C.srand(2222222)
-
+	n.hierarchalThreshold = 0.5
-	// Currently, hierarchal threshold is always 0.5.
+	n.nms = 0.45
-	n.hierarchalThreshold = .5
+	metadata := C.get_metadata(nCfg)
-
+	n.Classes = int(metadata.classes)
-	// Currently NMS is always 0.4.
+	n.ClassNames = makeClassNames(metadata.names, n.Classes)
-	n.nms = .4
-
-	n.Classes = int(C.get_network_layer_classes(n.cNet, n.cNet.n-1))
-	cClassNames := loadClassNames(n.DataConfigurationFile)
-	defer freeClassNames(cClassNames)
-	n.ClassNames = makeClassNames(cClassNames, n.Classes)
-
 	return nil
 }
 
@@ -70,34 +58,26 @@ func (n *YOLONetwork) Close() error {
 	if n.cNet == nil {
 		return errNetworkNotInit
 	}
-
+	C.free_network(*n.cNet)
-	C.free_network(n.cNet)
 	n.cNet = nil
 	return nil
 }
 
-// Detect specified image.
+// Detect specified image
-func (n *YOLONetwork) Detect(img *Image) (*DetectionResult, error) {
+func (n *YOLONetwork) Detect(img *DarknetImage) (*DetectionResult, error) {
 	if n.cNet == nil {
 		return nil, errNetworkNotInit
 	}
-
 	startTime := time.Now()
-	result := C.perform_network_detect(n.cNet, &img.image, C.int(n.Classes),
+	result := C.perform_network_detect(n.cNet, &img.image, C.int(n.Classes), C.float(n.Threshold), C.float(n.hierarchalThreshold), C.float(n.nms), C.int(0))
-		C.float(n.Threshold), C.float(n.hierarchalThreshold), C.float(n.nms))
 	endTime := time.Now()
 	defer C.free_detections(result.detections, result.detections_len)
-
+	ds := makeDetections(img, result.detections, int(result.detections_len), n.Threshold, n.Classes, n.ClassNames)
-	ds := makeDetections(img, result.detections, int(result.detections_len),
-		n.Threshold, n.Classes, n.ClassNames)
-
 	endTimeOverall := time.Now()
-
 	out := DetectionResult{
 		Detections:           ds,
 		NetworkOnlyTimeTaken: endTime.Sub(startTime),
 		OverallTimeTaken:     endTimeOverall.Sub(startTime),
 	}
-
 	return &out, nil
 }

network.h

@@ -8,4 +8,4 @@ struct network_box_result {
 };
 
 extern int get_network_layer_classes(network *n, int index);
-extern struct network_box_result perform_network_detect(network *n, image *img, int classes, float thresh, float hier_thresh, float nms);
+extern struct network_box_result perform_network_detect(network *n, image *img, int classes, float thresh, float hier_thresh, float nms, int letter_box);