Note: The "asdfghjkl" is just a placeholder due to some naming difficulties.
This package is designed to perform color correction on images using the Color Checker Classic 24 Patch card. It provides a robust solution for ensuring accurate color representation in your images.
pip install color-correction-asdfghjkl# Step 1: Define the path to the input image
image_path = "asset/images/cc-19.png"
# Step 2: Load the input image
input_image = cv2.imread(image_path)
# Step 3: Initialize the color correction model with specified parameters
color_corrector = ColorCorrection(
detection_model="yolov8",
detection_conf_th=0.25,
correction_model="least_squares",
degree=2, # for polynomial correction model
use_gpu=True,
)
# Step 4: Extract color patches from the input image
color_corrector.set_input_patches(image=input_image, debug=True)
color_corrector.fit()
corrected_image = color_corrector.predict(
input_image=input_image,
debug=True,
debug_output_dir="zzz",
)Sample output:
- Consistency: Ensure uniform color correction across multiple images.
- Accuracy: Leverage the color correction matrix for precise color adjustments.
- Flexibility: Adaptable for various image sets with different color profiles.
- Color Checker Classic 24 Patch Card
- Color Correction Tool ML
- Colour Science Python
- Fast and Robust Multiple ColorChecker Detection ()
- Automatic color correction with OpenCV and Python (PyImageSearch)
- ONNX-YOLOv8-Object-Detection
- yolov8-triton
- Streamlined Data Science Development: Organizing, Developing and Documenting Your Code