You need to use C++ opencv tensorflow ,make sure that the program can run after conversion.
I hope it can be finished in 7-10 days……
Here are the relevant reference links: (it has python code ）
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There are two steps to build the parking space detection model :(1) detect all available parking Spaces;(2) determine whether the parking space is empty or [login to view URL] basic idea of parking space detection is that all parking spots are separated by horizontal lines, and the spacing between parking spots in a column is roughly [login to view URL] edge detection was used to get the edge image first, and then hough transform was done on the edge image to draw all the lines it could recognize, and choose a line with a slope close to zero to isolate the horizontal [login to view URL] clustering logic is used to identify the interval of the x coordinate of the lane line, and then the car position is [login to view URL] a CNN model is built to detect each parking space and predict whether someone will [login to view URL] training set of this CNN model includes images of the two situations of having a car in a parking space and not having a car.
Designed image processing algorithms for enhancement and augmentation of images. Have Worked on Image Classification, Object Detection and Localisation using Tensorflow,Pytoch,Keras,OpenCV, C++