a convenient Python library for capturing cover image from video
Project description
CoverSnap
A convenient Python library for capturing cover image from video.
Installation
You can install CoverSnap using pip (python >= 3.8):
pip install coversnap
CLI
usage: coversnap [-h] -i INPUT -o OUTPUT
Capture image from video and save it to file, return black image if failed
optional arguments:
-h, --help show this help message and exit
-i INPUT, --INPUT INPUT
absolute path to input video
-o OUTPUT, --OUTPUT OUTPUT
absolute path to output image
Python
To capture a cover image from a video, use the capture_image
function provided by the CoverSnap library. Here's an
example of how to use it:
import os
import cv2
from coversnap import capture_image
input_video = "path/to/video.mp4"
output_image = "path/to/output.jpg"
# Capture the cover image from the video
img = capture_image(input_video)
# Save the captured image to the specified file
_, file_extension = os.path.splitext(output_image)
cv2.imencode(file_extension, img)[1].tofile(output_image)
Development
Environment Setup
Before getting started with development, make sure you have the following tools and dependencies installed:
- Python 3.8 or higher
- PDM (Python Development Master)
Installing Development Dependencies
In the project's root directory, run the following command to install the development dependencies:
pdm run dev
Running Tests
pdm run test
This will run the tests and generate test coverage reports. The test results will be displayed in the terminal, and XML and HTML format coverage reports will also be generated.
Code Style Checking and Static Type Checking
pdm run lint
This will run the code style checking and static type checking. The results will be displayed in the terminal.
License
CoverSnap is licensed under the MIT License.
Project details
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Source Distribution
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