labelImg | ️ LabelImg is a graphical image annotation tool | Computer Vision library
kandi X-RAY | labelImg Summary
kandi X-RAY | labelImg Summary
🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images
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Top functions reviewed by kandi - BETA
- Mouse move event handler
- Load a file .
- Convert xml files to csv
- Convert a txt file to csv
- Draws the graph .
- Write the image .
- Generate an XML node .
- Save shapes in Yolo format .
- Create QApplication instance .
- Parse an xml file .
labelImg Key Features
labelImg Examples and Code Snippets
Lines of Code : 45
License : No License
Copy+VOCdevkit
+VOC2012
+Annotations
-A bunch of .xml labels
+JPEGImages
-A bunch of .jpg images
+ImageSets
+Main
-aeroplane_trainval.txt (This is just a mkdir ~/github
sudo apt-get install -y pyqt4-dev-tools
sudo apt-get install -y python-pip
sudo pip install --upgrade pip
sudo pip install lxml
cd ~/github
git clone https://github.com/tzutalin/labelImg
cd ~/github/labelImg
make qt4py2
item {
id: text = '''
Test Images
FreKa.jpg
/home/sumit/Desktop/office_works/Fusion_Code/BIS_Final/Test Images/FreKa.jpg
Unknown
679
341
3
0
Contact Type
Unspecified
1
0
1
item {
id: 1
name: 'class name 1'
}
item {
id: 2
name: 'class name 2'
}
item {
id: 1
name: 'cat'
}
item {
id: 2
name: 'dog'
}
train_input_reader {
label_mimport xml.dom.minidom as minidom
name = "558.000000,790.000000530.000000,829.000000567.000000," \
"855.000000595.000000,815.000000558.000000,790.000000 "
point = []
xml_loaded = minidom.parseString(name)
Points_Node = xml_loaded.gimport xml.etree.ElementTree as ET
data = """
558.000000,790.000000
530.000000,829.000000
567.000000,855.000000
595.000000,815.000000
558.000000,790.000000
"""
tree = ET.fromstring(data)
for element in tree:
x,ydef load_mask(self, image_id):
"""Load instance masks for the given image.
Different datasets use different ways to store masks. Override this
method to load instance masks and return them in the form of am
array of binarypip install h5py --upgrade --no-dependencies --force
Community Discussions
Trending Discussions on labelImg
QUESTION
labelImg command gives me the following error on my installation and I am unable to figure out a fix for the problem.
OS: Windows PyQt version: PyQt5 Python version: 3.7
...ANSWER
Answered 2022-Feb-19 at 07:14i just spend 2 days for solved this issue..
and how i solve this issue just update microsoft store..
i know thats crazy but its work.
OS : Windows 11
Python : Python3.7
anaconda
QUESTION
i am new in object detection using python tensorflow and i have folder contains images that i need to Label it so i download pyqt5 , lableImg and when i open labelImg and choose The directory of my image folder it work fine and open folder in labelImg But when i choose Create RectBox and go to image to draw the rectangle label on it , labelImg stop running and then this error appear on cmd: ...
ANSWER
Answered 2022-Jan-28 at 14:26Apparently the problem is with Python 3.10: https://github.com/tzutalin/labelImg/issues/811
You can either downgrade to Python 3.9 or use the master branch of labelImg which should already have a fix.
QUESTION
I'm labelling objects for object detection with YOLOv5 and tried using makesense.ai, labelImg,... for that. It works fine with horizontal/vertical objects, but I do have some vertical ones in my dataset. Is there a way for diagonal Bounding Boxes? Or is there any other way for labelling diagonal objects for improving performance of my model? Thanks!
...ANSWER
Answered 2022-Jan-04 at 23:49Yes, but your bounding box will be squared or rectangular. For instance, the image below contains a small crack with a diagonal shape (red box). Unfortunately, YOLOv5 does not support other kinds of bounding boxes yet.
QUESTION
I'm trying to run the following code in the terminal to create train.record
...ANSWER
Answered 2021-Aug-01 at 03:14Your number is a decimal string
So at first, you need to convert to float and then to int as it has a decimal.
QUESTION
I have a folder containing 1000 photos. And I tagged 100 photos with labelimg. In three classes: "car", "motorcycle" and "truck". But every time I open the labelimg, the previous tags are deleted from "classes.txt" and there is only the new tag that I created. And when I open the previous tagged photos in the labelimg, it gives list index out of range error and then labelimg will closed.
the error:
...ANSWER
Answered 2021-Jul-20 at 12:53You can use Label Studio, it is much better than labelImg
Install the packege:
QUESTION
I am using labelImg to draw a rectangle on the rows of image. Which gives me the xml file . With the help of this xml how to extract that text from the image table . To extract the text I have used the horizontal and vertical ine detection but do not get good result. Now I am using the labelImg which gives me the points of that text which want to extract but I do not know how to apply the method for this .Please tell me how to do that ?
My xml file :
...ANSWER
Answered 2021-May-14 at 14:33To get xmin you can use xpath() with '//annotation/object/bndbox/xmin' or even shorter '//xmin'
It always gives list (even if there is only one element or there are no elements) so it will need [0] to get first element or for-loop to work with all elements.
Using if list_of_elelemts: ... you can run code only when list has some elements.
You can also use len() to check how many elements you get.
QUESTION
I am following this git repository Windows + Anaconda installation guide. I have downloaded the zip folder in my PC while running the command I am getting an Error
pyrcc5 -o "C:\Users\DANIA NIAZI\labelImg-master\libs\resources.py" "C:\Users\DANIA NIAZI\labelImg-master\resources.qrc"
I have tried adding quotation marks %userprofiles% but nothing has worked
the error I am getting is: 'C:/Users/DANIA' is not recognized as an internal or external command, operable program or batch file.
...ANSWER
Answered 2021-Apr-06 at 12:31The issue is with pyqt5 I have installed it using conda but when I installed in my default system the command worked perfectly.
Also I have installed all the requirements again using pip in virtual environment that is pyQt5 and lxml
QUESTION
Following this tutorial im stuck on .xml to .record conversion.
In fact, when i use the following query :
...ANSWER
Answered 2021-Mar-03 at 08:09The content of your file seems correct, but it contains APOSTROPHE characters (' U+27). In cp1252 encoding, 0x92 is the encoding of the RIGHT SINGLE QUOTATION MARK (’ U+2019). Some word processors are clever enough to know that in normal texts right and left quotation marks look nicer than the English apostrophe or quotation mark (") and they tend to replace them automatically.
Unfortunately it is not easy to identify them when reading a text file.
So you should control twice whether you text files contains some of those characters
- ’ U+2019 cp1252: 0x92 RIGHT SINGLE QUOTATION MARK
- ‘ U+2018 cp1252: 0x91 LEFT SINGLE QUOTATION MARK
- ” U+201d cp1252: 0x94 RIGHT DOUBLE QUOTATION MARK
- “ UX201c cp1252: 0x93 LEFT DOUBLE QUOTATION MARK
QUESTION
I am using labelImg to create .xml files for training images. While training photos, I've come across a photo containing more than one of the same objects in the same photo.
For example, the photo below contains tens of swimmers in the same photo. Now, when I train custom objects for object recognition task, I create one .xml file for corresponding .jpg file. But here, I will end up with many .xml files from the same photo. So, I don't know what to do here.
Please help.
...ANSWER
Answered 2021-Mar-02 at 13:06labelIMG allows you to create an xml file with multiple boxes of the same class, just save it as PascalVOC format:
Result:
QUESTION
ANSWER
Answered 2021-Feb-15 at 04:01I think as long as it's not getting too small bbox and, visually recognizable to the human, or possible to get features within it - that's fine.
For example let's consider the following cases, a dataset contains such meaningless annotation (red marked) which normally an engineer would skip those bounding boxes (box['w'] * box['h']) < some threshold.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install labelImg
You can use labelImg like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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