Create Match Template for Image & Template (using Numpy, Matplotlib, and Python only)
Budget: $30 – $250 USD
Requirements:
1. Prompt the user to choose the type of template matching method
1. Sum of Squared Differences (SSD)
2. Correlation Coefficient
3. Normalized Cross-Correlation
2. Show and output the output map, the original image with a bounding box highlighting the template, and cropped image of the image (with the template inside it).
3. Print out the location of the template in the source image.
- Don't use opencv, scipy, scikit-image for this task. Just use Python , NumPy, and Matplotlib.
- Starter code is provided
1. Prompt the user to choose the type of template matching method
1. Sum of Squared Differences (SSD)
2. Correlation Coefficient
3. Normalized Cross-Correlation
2. Show and output the output map, the original image with a bounding box highlighting the template, and cropped image of the image (with the template inside it).
3. Print out the location of the template in the source image.
- Don't use opencv, scipy, scikit-image for this task. Just use Python , NumPy, and Matplotlib.
- Starter code is provided