A simple tool for labeling object bounding boxes in images, implemented with Python Tkinter.
Updates:
- 2017.5.21 Check out the
multi-class
branch for a multi-class version implemented by @jxgu1016
LabelTool
|
|--main.py # source code for the tool
|
|--Images/ # direcotry containing the images to be labeled
*# The images recommanded to be placed like :
./Images/001/1.jpg
./Images/001/2.jpg
./Images/001/3.jpg...
|
|--Labels/ # direcotry for the labeling results
|
|--Examples/ # direcotry for the example bboxes
- python 2.7
- python PIL (Pillow)
$ python main.py
- The current tool requires that the images to be labeled reside in /Images/001, /Images/002, etc. You will need to modify the code if you want to label images elsewhere.
- Input a folder number (e.g, 1, 2, 5...), and click
Load
. The images in the folder, along with a few example results will be loaded. - To create a new bounding box, left-click to select the first vertex. Moving the mouse to draw a rectangle, and left-click again to select the second vertex.
- To cancel the bounding box while drawing, just press
<Esc>
. - To delete a existing bounding box, select it from the listbox, and click
Delete
. - To delete all existing bounding boxes in the image, simply click
ClearAll
.
- After finishing one image, click
Next
to advance. Likewise, clickPrev
to reverse. Or, input an image id and clickGo
to navigate to the speficied image.
- Be sure to click
Next
after finishing a image, or the result won't be saved.
$ python sample_video.py --outdir OUTPUT_DIR --file INPUT_FILE (optional)--sam 5
(example :python sample_video.py --outdir ./001 --file ./1.mp4 --sam 1)
(example :python sample_video.py --outdir ./001 --file ./1.mp4 )
Sample the video to images with sample rate --sam The default sample rate is 1 frame per second