Traceback (most recent call last): File "D:\ProgramData\Anaconda3\lib\site-packages\labelme-3.14.1-py3.6.egg\labelme\widgets\canvas.py", line 216, in mouseMoveEvent self.boundedMoveVertex(pos) File "D:\ProgramData\Anaconda3\lib\site-packages\labelme-3.14.1-py3.6.egg\labelme\widgets\canvas.py", line 415, in boundedMoveVertex pos = self.intersectionPoint(point, pos) File "D:\ProgramData\Anaconda3\lib\site-packages\labelme-3.14.1-py3.6.egg\labelme\widgets\canvas.py", line 560, in intersectionPoint d, i, (x, y) = min(self.intersectingEdges((x1, y1), (x2, y2), points)) ValueError: min() arg is an empty sequence

Describe the bug In version 4.2.9, it still reads the jpg images. But after I upgraded to >=4.3, it stops reading the jpg images. You can see clearly this issue by trying to open an image and in the list of image types, you won't find the jpg in there.

To Reproduce Steps to reproduce the behavior:

1. Install labelme 4.3 using pip install labelme==4.3 or any latest version
2. Try to open the image with Open button.
3. You will find out that you won't see jpg images.

Expected behavior The jpg images must be seen.

Screenshots This is an example of version 4.2.9 (which have jpg type in the list)

This is version 4.5.1 (does not have jpg in the list)

Desktop (please complete the following information):

• OS: Windows 10
• Labelme Version > 4.3

Additional context Maybe this is an intended feature because it cannot be a mistake that some guys decided to remove jpg and other extensions from the list. But then why do this? It causes a backward compatibility issue.

labelme_json_to_dataset An_Zhong_Left_1.json -o An_Zhong_Left_1_json lvelvelve:~ beauty$ labelme_json_to_dataset An_Zhong_Left_1.json -o An_Zhong_Left_1_json /Users/beauty/anaconda3/lib/python3.7/site-packages/labelme/cli/json_to_dataset.py:15: UserWarning: This script is aimed to demonstrate how to convert the JSON file to a single image dataset, and not to handle multiple JSON files to generate a real-use dataset. warnings.warn("This script is aimed to demonstrate how to convert the\n" Traceback (most recent call last): File "/Users/beauty/anaconda3/bin/labelme_json_to_dataset", line 11, in sys.exit(main()) File "/Users/beauty/anaconda3/lib/python3.7/site-packages/labelme/cli/json_to_dataset.py", line 34, in main data = json.load(open(json_file)) FileNotFoundError: [Errno 2] No such file or directory: 'An_Zhong_Left_1.json'

my mistakes are above , what should I do?

Is your feature request related to a problem? Please describe. To the best of my knowledge, the graphical user interface does not provide an easy way to change the color of a label.

Describe the solution you'd like My suggestion is to have a context menu that opens up if the user clicks on a label in the 'Label List' on the right. The context menu could have an entry that is called 'change color'. This opens up a color selection dialog or at least lets you enter the RGB or HEX code of a color.

Describe alternatives you've considered An alternative option could be to add an entry in the context menu that opens up if you right click on a polygon (or circle, or rectangle) and provide the color change option in there.

Additional context

3 main changes:

1. Fixes scroll wheel zooming in my Ubuntu setup.
2. Zoom shortcut adjusted to be more similar to browsers: Ctrl+0 to zoom to 100%, Ctrl+= to zoom in, Ctrl+- to zoom out.
3. Zoom into the cursor location instead of towards (0,0).

Regarding the Ubuntu setup: pixelDelta() is always 0 in my case, this is mentioned in the Qt documentation as a X11 specific issue: https://doc.qt.io/qt-5/qwheelevent.html#pixelDelta. I now changed it to angleDelta() instead, which based on the documentation I would expect to work on all platforms. However I don't have a Mac to test it.

I'm labeling for a instances segmentation project. The number of my class is one. And the class is cow. I notice that there is a new option group ID. I know I need to fill the object label with cow-1, cow-2... But the group ID of them should be the same or not?

Right now to know the label assigned to a polygon we have to check by de-selecting that particular instance of the label. This is a trail and error method and takes considerable amount of to recheck which label a particular polygon has been assigned. Is there a way to display label names around each polygon?

hi, I try to use the labelme tool to annotate the ocr dataset, and someone annotated some Chinese to the label in his computer, I use the json files and open the labelme tool, the error encountered like the following pic. How to fix this error, please help me, thanks.

the json file looks like this:

labelme saves everything (image and labels/polygons) in json files. I am trying to decode the image string that is stored along with the polygon-points in the json files in python, so I can convert both to a numpy-array and use the points to draw a binary mask (some models like mask rcnn don't use json, but require numpy-arrays for training).

What type of encoding is used to store the image in the json files? (under "imageData")

@latticetower @wkentaro

when running labelme the following error pops up

following this stack I installed open-cv by pip3 install opencv-python==4.1.2.30 but it didnt fix the problem either.

How to label a single category with labelme? After looking at the user-defined data set, there is no annotation naming method. For example, there is only one category in a graph: cat, cat, cat or cat1, cat2, Cat3 or cat-0, cat-1, cat-2， https://github.com/dbolya/yolact/issues/141

When sliding the shape out of bixmap, the application stops and complains that the parameters of QtCore.QPoint methods need to be int instead of float.

pos += QtCore.QPoint( TypeError: arguments did not match any overloaded call: QPoint(): too many arguments QPoint(int, int): argument 1 has unexpected type 'float' QPoint(QPoint): argument 1 has unexpected type 'float'

Provide environment information

qt.qpa.plugin: Could not load the Qt platform plugin "xcb" in "/home/pidl/.local/lib/python3.9/site-packages/cv2/qt/plugins" even though it was found. This application failed to start because no Qt platform plugin could be initialized. Reinstalling the application may fix this problem.

Available platform plugins are: xcb, eglfs, linuxfb, minimal, minimalegl, offscreen, vnc, wayland-egl, wayland, wayland-xcomposite-egl, wayland-xcomposite-glx, webgl.

What OS are you using?

Ubuntu 20.04

Describe the Bug

When I run labelme Folder. The bug happens

Expected Behavior

No response

To Reproduce

No response

Add new feature that supporting high DPI displays.

When I switch position of labelme window from 4K display to FHD one and vice versa, scale of labels on 'Polygon Labels' does not match OS setting. So I add this feature, and it looks well.

Provide environment information

Python 3.7.13 labelme 5.0.0

What OS are you using?

Ubuntu 20.04.4

Describe the Bug

I use labelme to label linestrip and use labelme2coco.py to get the coco data set of linestrip.

But when I use this coco data for training, the predicted result is red region instead of linestrip.

Why is that?

Expected Behavior

No response

To Reproduce

No response

Provide environment information

(DET2) D:\FPCs>python --version Python 3.9.13

(DET2) D:\FPCs>pip list labelme Package Version Editable project location

labelme 5.0.5

What OS are you using?

windows11

Describe the Bug

(DET2) D:\FPCs>python D:/DeepLearning/labelme/examples/instance_segmentation/labelme2coco.py --labels classes.txt 000003 labels Creating dataset: labels Generating dataset from: 000003\dog.json Traceback (most recent call last): File "D:\DeepLearning\labelme\examples\instance_segmentation\labelme2coco.py", line 209, in main() File "D:\DeepLearning\labelme\examples\instance_segmentation\labelme2coco.py", line 184, in main labels, captions, masks = zip( ValueError: not enough values to unpack (expected 3, got 0)

Expected Behavior

Skip the label file

To Reproduce

1. Just set ignore label of an image
2. Create classes.txt file
3. run labelme2coco.py