- Copy and paste all the files in the folder code (including input_output folders) and make that folder your working directory.
Image for K mean custering: 
Image for Morphology:
Image for Stitching left:
Image for Stitching right:
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For running all the codes you need to create an environment first and then install the libraries. Note: for running the code of image sticthing which is image_sticthing.py, you need to create a custom environment with opencv 3.4.2. in order to use SIFT.
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Install required packages onto your virtual environment. Replace “myenv”with your environment name. Enter the following commands in your terminal window. Press ‘y’ when prompted. a. conda create -n myenv python=3.7 b. conda activate myenv c. conda install -c conda-forge opencv=4.1.0 d. conda install -c anaconda numpy e. conda install -c conda-forge matplotlib f. conda install -c conda-forge imutils g. (optional) conda install spyder=4.2.0 h. (optional) spyder i. pip3 install sympy
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How to run the codes: a) After installing all the libraries, we are ready to run the codes. Codes are python script
b) Problem codes are in the file named 'morphology.py' for question 1, 'image_stitching.py' for question 2, 'camera_calibration.py' for question 3 and 'colour_segmentation.py' for question 4. Open the file, load your environment.
Sample Commands : python3 morphology.py
Please go through the project report named as rsingh24.pdf for more details.
Please contact me for any problem, at rsingh24@umd.edu
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Output: Image for K mean custering:
Image for Morphology:
Stitched Image:
