Image Transformation Tool Development
Budget: ₹1,500 – ₹12,500 INR
Overview:
We are seeking an experienced image processing specialist to develop a robust solution that can transform images of rugs on a transparent background into perfect rectangles. The rugs have wavy, squiggly edges, and some include fringes, adding complexity to the task. The goal is to standardize these images for better presentation and further processing.
Responsibilities:
Develop an algorithm or script using Python and OpenCV (or similar libraries) that can accurately detect the edges of rugs in images where the rugs are on a transparent background.
Transform these images so that the rugs are reshaped into perfect rectangles, despite the presence of natural waves, curves, and optional fringes.
Ensure that the transformation maintains the integrity and quality of the rug design, especially when fringes are involved.
Provide documentation and support for integrating the solution into an existing Python workflow.
Requirements:
Proven experience in image processing and computer vision.
Strong proficiency in Python, especially with libraries such as OpenCV.
Ability to handle images with transparency and complex patterns.
Excellent problem-solving skills and attention to detail.
Previous experience with similar transformation tasks is highly desirable.
Project Outcome:
The successful implementation of this script will allow for consistent and standardized presentation of rug images across various platforms, enhancing visual aesthetics and uniformity in display.
Please provide examples of similar image processing projects you have undertaken, especially those involving geometric transformations of complex objects.
We are seeking an experienced image processing specialist to develop a robust solution that can transform images of rugs on a transparent background into perfect rectangles. The rugs have wavy, squiggly edges, and some include fringes, adding complexity to the task. The goal is to standardize these images for better presentation and further processing.
Responsibilities:
Develop an algorithm or script using Python and OpenCV (or similar libraries) that can accurately detect the edges of rugs in images where the rugs are on a transparent background.
Transform these images so that the rugs are reshaped into perfect rectangles, despite the presence of natural waves, curves, and optional fringes.
Ensure that the transformation maintains the integrity and quality of the rug design, especially when fringes are involved.
Provide documentation and support for integrating the solution into an existing Python workflow.
Requirements:
Proven experience in image processing and computer vision.
Strong proficiency in Python, especially with libraries such as OpenCV.
Ability to handle images with transparency and complex patterns.
Excellent problem-solving skills and attention to detail.
Previous experience with similar transformation tasks is highly desirable.
Project Outcome:
The successful implementation of this script will allow for consistent and standardized presentation of rug images across various platforms, enhancing visual aesthetics and uniformity in display.
Please provide examples of similar image processing projects you have undertaken, especially those involving geometric transformations of complex objects.