An image processing tool that performs basic operations

Operations:

• -grayscale (recursively searches the passed directory and creates grayscale copies of the images)
• -smoothen (creates smoothened copies of the images)
• -sharpen (creates smoothened copies of the images)
• -find= (creates copies of the images that match the )

TO RUN

• git clone the repo
• docker build -t imagename
• go to the directory you'd like to have your images manipulated and run docker run --rm -it --mount type=bind,source="$(pwd)",target=/app/images imagename <command>

Model used for classifying the images is the coco model with pretrained image data, all of which can be found under tensorflowAPI/model/frozen_inference_graph.pb

• the names of the graph operations present in the model are the following:
• input operation: "image_tensor"
• output operation: "detection_boxes"
• output operation: "detection_scores"
• output operation: "detection_classes"
• output operation: "num_detections"