I have copied the code snippet for uploading the dataset directly from Roboflow for the YOLOv9 model. I installed YOLOv9 and its requirements as mentioned on the official website. Where might the problem be?
Homework Statement: I am trying to write a Python code to do a project about smart parking system. I want to create a Mask RCNN model to detect the vehicles in the parking slots.
My code is attached below, I got an error in the last line (creating Mask_RCNN model) and do not know how to solve...
The decision tree in the following curve is too fine details of the training data and learn from the noise, (overfitting).
Ref: https://scikit-learn.org/stable/auto_examples/tree/plot_tree_regression.html#sphx-glr-auto-examples-tree-plot-tree-regression-py
I tried to remove the overfitting...
Yes, we can choose any topics related to Deep Machine Learning. I can redo my previous project in a different way; by training a model using deep ML. However, I want to improve it even more by selecting the slots automatically and that's what I am looking for.
Here's some of the results from my...
Several related works have manually selected parking slots using different methods, such as selecting the region of interest (ROI) through mouse clicks or determining the coordinates of each parking slot through trials and errors (which I used in my previous course project). However, these...
TL;DR Summary: How to automatically detect the parking slots using Python?
I have a Deep Machine Learning course and would like to do my course project about "Available Parking Slots Detection using Deep Machine Learning Based on Image Processing".
My plan is to split the project into two...