Develop a Python-based image search algorithm that searches for details based on an input image. If results are found, display relevant details; otherwise, gracefully handle the case of no results. Additionally, ensure proper documentation for the code and push it to a GitHub repository.
Implement an image search algorithm using a suitable image processing library (e.g., OpenCV). Use a pre-trained model or an API for image recognition and feature extraction.
Display relevant details based on the image search results (e.g., image description, tags, or related information).
Implement a mechanism to gracefully handle the scenario when no results are found. Provide a user-friendly message explaining the absence of results.
Create a GitHub repository for the project. Commit the code with clear and concise commit messages. Include a README.md file with instructions on how to set up and run the image search algorithm.
Document the code thoroughly, including explanations of functions, classes, and important code blocks. Provide an overview of the image search algorithm and how it works. Include any dependencies, setup instructions, and troubleshooting tips.
Push the completed code to the GitHub repository. Ensure that the README.md file contains all necessary information for someone new to the project.
- Functionality of the image search algorithm.
- Clarity and completeness of documentation.
- Graceful handling of no-results scenario.
- Effectiveness of the search result details display.
- Clean and well-organized code.
- Proper utilization of version control (GitHub).
Feel free to use any suitable Python libraries or frameworks for image processing and recognition. The focus should be on creating a functional and well-documented image search algorithm. Good Luck
© 2023 RecursiveZero, All rights reserved.