A tool to visualize a series of computer vision operations on an image.
I wrote this tool to debug and visualze OpenCV pipelines. A pipeline consists of a series of OpenCV operations (known in this project as 'filters'.) Each filter accepts a single OpenCV image, performs some operation, and returns the updated OpenCV matrix.
The pipline follows a simple sequence, as follows:
- It is provided an original source image.
- It passes the image to the first filter in the pipeline.
- The first filter returns the modified image to the pipeline
- The pipeline passes this image on to the next filter, and so on.
The app has the following features:
- Visualize both the final image and individual internal images.
- Dynamically enable and disable individual filters.
- Automatically disable filters that throw exceptions.
- Easy-to-use JSON description of the pipeline.
The following illustrates key parts of the UI.
Make sure you have Python 3.6+ installed. Run the following command in your local shell:
pip install opencv-python kivy
A quick start is the following command:
python3 main.py
The following parameters are available.
optional arguments:
-h, --help show this help message and exit
-i IMAGE, --image IMAGE path to input image
-p PIPELINE, --pipeline PIPELINE path to json describing pipeline
The JSON file supports the following tags:
| tag | description | required? |
|---|---|---|
filter |
The name of the class in the opencv-filters.py file | Required |
params |
Filter-specific parameters used to set initial values | Required if there are any params |
enabled |
If false, the filter becomes a NOP | Optional |
tid |
This ID is used as the display name; filters declared below this filter can use the 'tid' as an input | Optional |
input |
Specifies the 'tid' of the filter to use as the input image; if this is not specified, the filter uses the image produced by the filter immediately above it in the file | Optional |
inputs |
A list of 'tid' values which will be passed as a list to the input of the filter; useful for BitwiseAnd/Or filters | Optional, but required to join parallel series. |
- Add drag-n-drop (perhaps with a platform more suited to this).
- Add Library pane with list of supported filters.
- Add open/save functionality.