kano-cv 1.9.1

Helpful functions for Computer Vision tasks

🦌 Kano - Tools for Computer Vision Tasks

Kano is a Python package providing utility functions for Computer Vision tasks. Its primary focus is simplifying lengthy functions, allowing developers to concentrate more on the main processes.

📥 Installation

The latest released version is available on PyPI. You can install it by running the following command in your terminal:

pip install kano-cv

🚀 Usage

• Computer vision tasks:
  • Object Detection (In progress)
  • Object Segmentation (In progress)
  • YOLO Datasets Splitting/Merging
• Files/Folders Manipulating
• Images Processing
• Videos Processing

🗃️ YOLO Datasets Splitting/Merging

Test these utilities here:

If you are using Roboflow to label and struggling to merge many Workspaces or YOLO format projects, Kano provides a utility to merge them with just one command:

from kano.complex.roboflow import merge_datasets


# Each dataset folder contains two folders "images" and "labels"
folders = [
    "Dataset_1",
    "Dataset_2",
]

merge_datasets(folders, merged_folder_path="dataset")

You can also split a dataset into train/valid/test with your own split ratio with only one command:

from kano.complex.roboflow import split_dataset


# Split a dataset (contains "images" and "labels")
# into train, valid, test folders with a given ratio
split_dataset(
    dataset_path="dataset/train",
    train_percent=80,
    valid_percent=20,
    target_folder="splitted_dataset",
)

📁 Files/Folders Manipulating

Test these utilities here:

Kano is designed to run many common functions in just one line:

from kano.file_utils import create_folder, print_foldertree, remove_folder

# Create a folder and its subfolder without errors
create_folder("folder_A/subfolder")

for i in range(2):
    with open(f"folder_A/subfolder/file_{i}.txt", "w") as f:
        pass

print_foldertree("folder_A")
# folder_A (2 files)
# |-- subfolder (2 files)

# Remove a folder with its content without errors
remove_folder("folder_A/subfolder")

You can even zip many folders (and files) by providing their paths and the destination path in a function call:

zip_paths(["folder_A", "folder_B"], "zipfile.zip")

🖼️ Images Processing

Test these utilities here:

You can quickly download an image using a URL and show it in IPython notebooks or Python files:

from kano.image_utils import download_image, show_image


image = download_image("https://avatars.githubusercontent.com/u/77763935?v=4", "image.jpg")

# using a numpy array
show_image(image)

# using a file path
show_image("image.jpg")

or you can get a random image with a specific size:

from kano.image_utils import get_random_picture


image = get_random_picture(width=400, height=300, save_path="random_image.jpg")

# using a numpy array
show_image(image)

# using a file path
show_image("random_image.jpg")

🎞️ Videos Processing

Test these utilities here:

Kano helps you extract images from a video. For demo purposes, I will download a video from YouTube using pytube. If you find this function helpful, please give a star to the original repo.

from kano.video_utils import download_youtube_video, extract_frames


download_youtube_video("https://www.youtube.com/watch?v=<VIDEOID>", "video.mp4")

# Get 1 image per 2 seconds
extract_frames(
    video_path="video.mp4",
    target_folder="frames",
    seconds_interval=2,
)

🙋‍♂️ Contributing to Kano

All contributions, bug reports, bug fixes, enhancements, and ideas are welcome. Feel free to create pull requests or issues so that we can improve this library together.

🔑 License

Kano is licensed under the MIT license.