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Apart from this, most of the users are comfortable using matplotlib for display, specially its display in notebook using `%matplotlib inline` magic. \n\nThis package provides two of the main function, converting the image to a format more suitable in matplotlib, and plotting the image using matplotlib in the notebooks.\n\n## Table of contents\n* [Setup](#setup)\n* [Usage](#usage)\n* [Dependencies](#dependencies)\n* [Contact](#contact)\n\n## Setup\n```pip install cv2_plt_imshow```\n\n## Usage\n\n```\nimport cv2\nimport matplotlib.pyplot as plt\nfrom cv2_plt_imshow import cv2_plt_imshow, plt_format\n\n# read image\nim1 = cv2.imread('./images/potrait.jpg')\n\n# use cv2_plt_imshow function to plot any image that was read by cv2, but is plotted using pyplot\ncv2_plt_imshow(im1)\n\n# Convert the image to be suitable for pyplot format and later use it for plotting using pyplot functions\nim2 = cv2.imread('./images/landscape.jpg')\nfig, axs = plt.subplots(2 , figsize=(20,20))\nfig.suptitle('Vertically stacked subplots')\naxs[0].imshow(plt_format(im1))\naxs[1].imshow(plt_format(im2))\n```\n\n## Dependencies\n* [matplotlib](https://pypi.org/project/matplotlib/)\n* [cv2](https://pypi.org/project/opencv-python/)\n\n## Contact\n* [Author](https://rupesh.info/)\n* [Github](https://github.com/rs9899/cv2_plt_imshow)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frs9899%2Fcv2_plt_imshow","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frs9899%2Fcv2_plt_imshow","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frs9899%2Fcv2_plt_imshow/lists"}