kleinyuan/easy-yolo

Yolo (Real time object detection) model training tutorial with deep learning neural networks

easy-yolo's Issues

how can I test video file ?

I want to test the video file.
Can I only test live stream cameras?
If so, can you tell me more about how to use stream cameras?

Darknet test command is not terminating automatically after prediction of single image results

My darknet test command is not terminating automatically after prediction of single image results . I have to press ctr z command. Please suggest something

cuda_runtime.h : No such file or directory

Hello
my machine and environment is
8 CPU
Quadro M4000 GPU
30 GB RAM
50 GB SSD
Ubuntu 14.04
OpenCV v2.4.8
CUDA 8.0.61-1
cuDNN 5.1.10-1+cuda8.0

and When I try to create a darknet executable (step 5.b) ,

there is some error : cuda_runtime.h : No such file or directory

what is the problem? I really need your help...

Display label correctly

I want to display the label in my box.
However, it is displayed in black.
How can I display it?
What files or folders should I change?

Calculation of PR curve

How to calculate PR curve for testing folder. I have added some code in detector.c to calculate the value but it's not working

void validate_detector_PRcurve(char *datacfg, char *cfgfile, char *weightfile)
{
list *options = read_data_cfg(datacfg);
char *valid_images = option_find_str(options, "valid", "data/voc.2007.test");

network net = parse_network_cfg(cfgfile);
if(weightfile){
    load_weights(&net, weightfile);
}
set_batch_network(&net, 1);
fprintf(stderr, "Learning Rate: %g, Momentum: %g, Decay: %g\n", net.learning_rate, net.momentum, net.decay);
srand(time(0));

list *plist = get_paths("/home/deepshikha/Desktop/easy-yolo/text1.txt");
char **paths = (char **)list_to_array(plist);

layer l = net.layers[net.n-1];
int classes = l.classes;

int j, k;
box *boxes = calloc(l.w*l.h*l.n, sizeof(box));
float **probs = calloc(l.w*l.h*l.n, sizeof(float *));
for(j = 0; j < l.w*l.h*l.n; ++j) probs[j] = calloc(classes+1, sizeof(float *));

int m = plist->size;
int i=0;

float iou_thresh = .5;
float nms = .4;

for(float thresh = 0; thresh < 1; thresh = thresh + 0.01){	
int total = 0;
    int TP = 0, FP = 0;
    int proposals = 0;
	float avg_iou = 0;	
for(i = 0; i < m; ++i){
	char *path = paths[i];
	image orig = load_image_color(path, 0, 0);
	image sized = resize_image(orig, net.w, net.h);
	char *id = basecfg(path);
	network_predict(net, sized.data);
	get_region_boxes(l, sized.w, sized.h, net.w, net.h, thresh, probs, boxes, 1, 0, .5, 1);
	if (nms) do_nms(boxes, probs, l.w*l.h*l.n, 1, nms);

	char labelpath[4096];
	find_replace(path, "images", "labels", labelpath);
	find_replace(labelpath, "JPEGImages", "labels", labelpath);
	find_replace(labelpath, ".png", ".txt", labelpath);
	find_replace(labelpath, ".jpg", ".txt", labelpath);
	find_replace(labelpath, ".JPEG", ".txt", labelpath);

	int num_labels = 0;
	box_label *truth = read_boxes(labelpath, &num_labels);
	for(k = 0; k < l.w*l.h*l.n; ++k){
	    if(probs[k][0] > thresh){
		++proposals;
	    }
	}
	for (j = 0; j < num_labels; ++j) {
	    ++total;
	    box t = {truth[j].x, truth[j].y, truth[j].w, truth[j].h};
	    float best_iou = 0;
	    for(k = 0; k < l.w*l.h*l.n; ++k){
		float iou = box_iou(boxes[k], t);
		if(probs[k][0] > thresh && iou > best_iou){
		    best_iou = iou;
		}
	    }
	    avg_iou += best_iou;
	    if(best_iou > iou_thresh){
		++TP;
	    }
	}
	FP = proposals - TP;

	free(id);
	free_image(orig);
	free_image(sized);
}
fprintf(stderr, "Thresh:%.4f\tRecall:%.2f%%\tPrecision:%.2f%%\n", thresh, 100.*TP/total, 100.*TP/(TP+FP));
}

}

Is it Necessary to have all Images of same size that is for example a*a or a*b or b*a

What kind of network is easy.cfg?

https://github.com/KleinYuan/easy-yolo/blob/master/cfg/easy.cfg

It looks the network is neither yolo v1 nor yolo v2. It only has 15 layers, is it tiny-yolo?

Testing on folder

How to use test command for a test folder instead of single image and save the results along with number of bounding box?

How to save bounding boxes and display it

After training if make test is done the result is appearing as below

what is x and y here and why no bounding box is appearing

Segmentation fault (Core dumped)

I am getting This error After running make train. I have created the folder according to as it is described . My Images are in .JPG format and verying size.

Does we Require to change anything in src folder as it is not mentioned here to make a change I am curious since yolo.c took no of class and class name and annotation path If these are needed to change. Or because of that error is occuring

pythonwrapper fix

line6 in easy-yolo/pythonWrapper.py should read
output = proc.stdout.readline()

not
output = proc.stdout.read()

(1) Incorrect location: Image/.txt (2) in_place.py not working

Hello,
This is a great project and I enjoy training now with my custom jpg images (Ubuntu14.04, GTX1080Ti). I report two minor errors and eventually run successfully.

1: When I did "make train", there was an error message like, 'there is no file in ./Images/1.txt'. Of course, there is no 1.txt in the Images folder, because these are created in the devkit/2017/Labels. I copy/pasted these .txt files to the Images folder. That was enough to run successfully. The script needs to change to look for the label (.txt) files in the Labels, not in the Images folder.

2: scripts/in_place.py did not work to me. I simply found the respective parts in the easy.cfg and easy.data manually.

3: Regarding the testing a static image, it was a bit harder to solve! I wanted a jpg image to test, but it was designated as png. I looked into scripts and changed as follows:
(a) in pythonWrapper.py
fp = "test.jpg"
#fp = "test.png"
(b) in Makefile at the end,
test: ${PWD}/darknet detector test cfg/easy.data cfg/easy.cfg ${PWD}/backup/easy_final.weights ${PWD}/test.jpg
#test:${PWD}/darknet detector test cfg/easy.data cfg/easy.cfg ${PWD}/backup/easy_final.weights ${PWD}/test.png

Then, 'make train' yielded a jpg image with a predicted bounding box. However, I was puzzled with long error massages like:
Cannot load image "data/labels/32_0.png"
Cannot load image "data/labels/33_0.png"
I have two questions on this error. First, I cannot find a 'data' folder. Where is it? Second, how can I fix to reflect my training on jpg images?

Thank you!!

OpenCV Error : Configuration incomplete

I have followed your instructions up until the cmake -G Makefiles... command and got the following error:

CMake Warning at cmake/OpenCVFindLibsGUI.cmake:18 (find_package):
  By not providing "FindQt5Core.cmake" in CMAKE_MODULE_PATH this project has
  asked CMake to find a package configuration file provided by "Qt5Core", but
  CMake did not find one.

  Could not find a package configuration file provided by "Qt5Core" with any
  of the following names:

    Qt5CoreConfig.cmake
    qt5core-config.cmake

  Add the installation prefix of "Qt5Core" to CMAKE_PREFIX_PATH or set
  "Qt5Core_DIR" to a directory containing one of the above files.  If
  "Qt5Core" provides a separate development package or SDK, be sure it has
  been installed.
Call Stack (most recent call first):
  CMakeLists.txt:487 (include)


CMake Warning at cmake/OpenCVFindLibsGUI.cmake:19 (find_package):
  By not providing "FindQt5Gui.cmake" in CMAKE_MODULE_PATH this project has
  asked CMake to find a package configuration file provided by "Qt5Gui", but
  CMake did not find one.

  Could not find a package configuration file provided by "Qt5Gui" with any
  of the following names:

    Qt5GuiConfig.cmake
    qt5gui-config.cmake

  Add the installation prefix of "Qt5Gui" to CMAKE_PREFIX_PATH or set
  "Qt5Gui_DIR" to a directory containing one of the above files.  If "Qt5Gui"
  provides a separate development package or SDK, be sure it has been
  installed.
Call Stack (most recent call first):
  CMakeLists.txt:487 (include)


CMake Warning at cmake/OpenCVFindLibsGUI.cmake:20 (find_package):
  By not providing "FindQt5Widgets.cmake" in CMAKE_MODULE_PATH this project
  has asked CMake to find a package configuration file provided by
  "Qt5Widgets", but CMake did not find one.

  Could not find a package configuration file provided by "Qt5Widgets" with
  any of the following names:

    Qt5WidgetsConfig.cmake
    qt5widgets-config.cmake

  Add the installation prefix of "Qt5Widgets" to CMAKE_PREFIX_PATH or set
  "Qt5Widgets_DIR" to a directory containing one of the above files.  If
  "Qt5Widgets" provides a separate development package or SDK, be sure it has
  been installed.
Call Stack (most recent call first):
  CMakeLists.txt:487 (include)


CMake Warning at cmake/OpenCVFindLibsGUI.cmake:21 (find_package):
  By not providing "FindQt5Test.cmake" in CMAKE_MODULE_PATH this project has
  asked CMake to find a package configuration file provided by "Qt5Test", but
  CMake did not find one.

  Could not find a package configuration file provided by "Qt5Test" with any
  of the following names:

    Qt5TestConfig.cmake
    qt5test-config.cmake

  Add the installation prefix of "Qt5Test" to CMAKE_PREFIX_PATH or set
  "Qt5Test_DIR" to a directory containing one of the above files.  If
  "Qt5Test" provides a separate development package or SDK, be sure it has
  been installed.
Call Stack (most recent call first):
  CMakeLists.txt:487 (include)


CMake Warning at cmake/OpenCVFindLibsGUI.cmake:22 (find_package):
  By not providing "FindQt5Concurrent.cmake" in CMAKE_MODULE_PATH this
  project has asked CMake to find a package configuration file provided by
  "Qt5Concurrent", but CMake did not find one.

  Could not find a package configuration file provided by "Qt5Concurrent"
  with any of the following names:

    Qt5ConcurrentConfig.cmake
    qt5concurrent-config.cmake

  Add the installation prefix of "Qt5Concurrent" to CMAKE_PREFIX_PATH or set
  "Qt5Concurrent_DIR" to a directory containing one of the above files.  If
  "Qt5Concurrent" provides a separate development package or SDK, be sure it
  has been installed.
Call Stack (most recent call first):
  CMakeLists.txt:487 (include)


qmake: could not exec '/usr/lib/x86_64-linux-gnu/qt4/bin/qmake': No such file or directory
CMake Error at /usr/share/cmake-3.5/Modules/FindQt4.cmake:1326 (message):
  Found unsuitable Qt version "" from NOTFOUND, this code requires Qt 4.x
Call Stack (most recent call first):
  cmake/OpenCVFindLibsGUI.cmake:34 (find_package)
  CMakeLists.txt:487 (include)


-- Configuring incomplete, errors occurred!
See also "/home/nukadelic/opencv-2.4.13/release/CMakeFiles/CMakeOutput.log".
See also "/home/nukadelic/opencv-2.4.13/release/CMakeFiles/CMakeError.log".

[edit]

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