labelbox | fastest way to annotate data | Data Labeling library
kandi X-RAY | labelbox Summary
kandi X-RAY | labelbox Summary
Labelbox is the fastest way to annotate data to build and ship artificial intelligence applications. Use this github repository to help you set up a Custom Editor in Labelbox.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of labelbox
labelbox Key Features
labelbox Examples and Code Snippets
def extract_masks_from_labelbox_json(
labelbox_json_path: Union[str, Path],
data_dir: Union[str, Path],
mask_data_dir: Union[str, Path] = None,
) -> None:
""" Extract masks from Labelbox annotation JSON file.
It reads in an an
def extract_keypoints_from_labelbox_json(
labelbox_json_path: Union[str, Path],
data_dir: Union[str, Path],
keypoint_data_dir: Union[str, Path] = None,
) -> None:
""" Extract keypoints from Labelbox annotation JSON file.
It re
Community Discussions
Trending Discussions on labelbox
QUESTION
I have a JSON file like this:
...ANSWER
Answered 2021-Mar-11 at 18:54Firstly, the JSON file does not look valid. For my answer I'll assume a valid file like so:
QUESTION
I am making a contact page in ASP.NET framework and I am trying to make a box apear after I have sent an email, but I dont know how to show the message ONLY when the method has run, I can make it disapear after a short amount of time but everytime I refresh the page the box comes back. Heres what ive come up with:
My submit button and Label1 is what I want to show only when my Clickfunction has ran:
...ANSWER
Answered 2021-Mar-08 at 21:08Think you're probably looking for the "Visible" property.
QUESTION
I have a single entry in a JSON file. Within the "objects":[]
list, I have "title":
. I want to create a list that appends the value of every "title":
in every JSON list. In the end, my goal is to have a list like this:
titles = [Mastercard, Mastercard, Alienware, Oppo, Alienware, ...]
ANSWER
Answered 2021-Feb-10 at 05:32It seems you should be able to do this with a list comprehension:
QUESTION
I've been through quite a number of posts about adding a Label over a PictureBox, and none of the ones I've seen explain why my label disappears when over a PictureBox.
I created a completely new Label from scratch with the same problem, to rule out that perhaps I inadvertently changed some property without realizing it.
When the Form first loads, the PictureBox has no initial image set.
At this time, the Label is visible, but it's Paint
event isn't called.
When an Imaged is assigned to the PictureBox, through a Button click, the Label is no longer visible and the Paint event still isn't called.
However, Paint events for another Label, outside of the PictureBox, are called.
In the designer I see this:
...ANSWER
Answered 2020-Dec-16 at 00:41Relocate a Control to a different Parent container maintaining the relative position:
Assume, as in the graphic sample, that the PictureBox.Location
is (10, 100)
. In the Form Designer, a Label is positioned over the PictureBox, its Location is (20, 110)
.
Its position, relative to the PictureBox.ClientRectangle
, is then (10, 10) => (20-10, 110-100)
).
Of course, as shown, the Label's background color is inherited from its Parent, the Form (transparency of Controls is virtual, the Parent's background is used as the background of child Control that have a transparent BackColor).
► The PictureBox control is not a ContainerControl or a ScrollableControl (it doesn't implement IContainerControl; i.e., doesn't have the WS_EX_CONTROLPARENT
style set), so it doesn't host a Control when you place one over its surface at design-time.
At run-time, you can set a Control's Parent
property to a PictureBox reference, to create a new Parent-Child relation between these two Controls.
When you do, some properties related to a Control's layout need to be considered; in this case the Location
property.
Setting the Parent doesn't change the child Control's Location
value, which is now relative to the new Parent.
► The Label.Location
is still (20, 110)
, but now this position is related to the PictureBox.ClientRectangle
, not the Form's. As a consequence, you have to relocate it, if you want it to keep its relative position.
You can subtract the new Parent's Location from the child Control's
Location
:
QUESTION
Hi I want to make a folder and save an image into that folder. Here is what I did but I get error:
...ANSWER
Answered 2020-Nov-05 at 20:49Using the requests pkg:
QUESTION
I wrote a small control that allows to change from label to text box and vice versa, and everything is fine, the problem is that it cuts when going from label to text box, which is strange because while I was testing it everything worked perfectly.
...ANSWER
Answered 2020-Oct-30 at 09:42Setting this.AutoSize = false;
in the constructor doesn't disable the property and the auto sizing remains. The type of the ToolBoxItem
attribute of the Label control (as the CheckBox and the RadioButton) is AutoSizeToolboxItem which enables the AutoSize
property when you drop an instance in the designer. This issue is well explained here.
As the referred answer suggests, you can prevent this behavior by decorating the
class with the [ToolboxItem(typeof(ToolboxItem))]
attribute:
QUESTION
I have 'textRef' created in parent component and passed to children component using createRef(). I am trying to dynamically focus Input in children component on props change.
It does work when I test on localhost (chrome) but not on web view.
Any advice on this issue ? Thanks !!
parent component ...ANSWER
Answered 2020-Oct-12 at 08:55I resolved it by using input autoFocus attribute as well as ref attribute.
Since input
appears dynamically
on a button click, ref.focus
won't work.
AutoFocus will get focus when the input appears.
Then Ref will get re-focus where the input is already placed on address re-search.
QUESTION
I was looking for an online service that allow me to annotate images with bounding boxes, I found labelbox, but there bounding box label format is different than the format that I need which is yolo.
This is there format: "bbox": { "top": 186, "left": 192, "height": 300, "width": 519 }
.
The format that i need is x_center y_center width height
, also the values needs to be between 0 and 1
ANSWER
Answered 2020-Aug-30 at 05:00bbox = {"top": 186, "left": 192, "height": 300, "width": 519}
y1 = bbox["top"]
x1 = bbox["left"]
height = bbox["height"]
width = bbox["width"]
x2 = x1+width
y2 = y1+height
x_center = round((x1+x2)/2)
y_center = round((y1+y2)/2)
bbox_list = [x_center, y_center, width, height]
QUESTION
I have a link that leads to an image. How can I get it or download it with python? This is the link of the image: https://storage.labelbox.com/ckc5wddcn1f6x0766ewd1yuc1%2Fa58f8ca1-3265-ad38-6c3d-c71e8e6a88a6-image852.jpg?Expires=1597225683779&KeyName=labelbox-assets-key-1&Signature=PpAGopCySjZQz4r49sLPaa72CLs
...ANSWER
Answered 2020-Jul-30 at 02:11You can use requests
module to download the image
QUESTION
I'm trying to get familiar with modelling a CNN for an image detection project. Right now I'm stuck with preprocessing the image training data set:
I have labeled 40 images with labelbox. Now I want to go on for image Data Augmentation. That is I want to rotate, flip etc. all labeled images in my data set to get more training datas to feed in my CNN. I want to do it with the "data_aug"-package from "https://augmentationlib.paperspace.com/index.html" as it does Data Augmentation with labeled images (that is images with the boundary boxes). The problem is I don't know how to install this modul as the command pip or apt get doesn't run in the cell.
Which command do I need? How can I install such a package? Or is there any much simpler way to do Data Augmentation with labeled images? Thanks in advance!
...ANSWER
Answered 2020-Mar-24 at 16:07I had a look around and it seems that "package" isn't so much a package, as it is a project with a Github repo available. So it isn't available via standard package builders; you'll have to manually download the data_aug guys' code. Luckily it's not hard.
To start, just clone their repo: https://github.com/Paperspace/DataAugmentationForObjectDetection
All the code is now available to you. they have a tutorial on how to use it over here: https://blog.paperspace.com/data-augmentation-for-bounding-boxes/
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