Please implement a program to recognize simple objects and basic shapes in an input image as shown in the figures below. Consider the following regulations:

$$ The input: A colored image.

$$ The output:

$$ The same input image with a label above each object to identify it from the list below

$$ House and its type $($Class $1$ or Class $2),$ Tree and its type $($Class $1$ or Class $2),$ Car and Truck

$$ Print the name, the color and the number of basic shapes in the image $($Circle$,$ triangle, rectangle or square$)$ on the command prompt as a list $($Don$$t display them on the image$).$

$$ Python programming language can be used, in conjunction with OpenCV.implement the requirements for labeling objects like Car, Truck, House Class $1,$ House Class $2,$ Tree Class $1,$ and Tree Class $2,$ we need to update the shape detection and labeling logic. Here$$s the revised script that includes the new specifications for identifying these complex objects:

Car: Identified by a right triangle, a rectangle with a width larger than its height, another larger rectangle, and two equally sized circles below.

Truck: Identified by a right triangle, a square, a rectangle, and two equally sized circles below.

Tree Class $1$: Identified by an isosceles triangle above a rectangle where the height is larger than the width.

Tree Class $2$: Identified by a circle above a rectangle where the height is larger than the width.

House Class $1$: Identified by an isosceles triangle with a circle inside it and a rectangle below the isosceles triangle.

House Class $2$: Identified by an equilateral triangle with a circle inside it and a square below the equilateral triangle.

An example of an input image:

The output image with the corresponding text: