# Prompt 
You are an expert in computer vision and surface normal prediction. Your task is to analyze a white image containing two rectangles, one red and the other blue. Imagine that the white image is an indoor room, and that the two rectangles demarcate regions in the room. This task requires a nuanced understanding of 3D space as represented in 2D images. 
Your job is to determine the **surface normal** of these regions relative to the viewer or camera. The surface normal is a unit vector that points perpendicularly outward from the surface. 
You will assess the **degree of orientation** of each region in three primary directions: 
1. **Right-facing orientation** (positive x-axis direction) 
2. **Upward-facing orientation** (positive y-axis direction) 
3. **Outward-facing orientation** (towards the viewer/camera, positive z-axis direction) 
For each of these directions, determine the **degree of orientation** of each region (blue or red) in that direction. Remember, these orientations exist on a continuous spectrum and are not limited to fixed categories. 
**Guidelines for each direction assessment:** 
1. **Right-facing orientation:** 
   - A surface that faces directly to the right has a surface normal pointing directly to the right (x-axis). Its degree of orientation in the right direction is 1. 
   - A surface that faces slightly upward and to the right has a surface normal pointing slightly upward and to the right. Its degree of orientation in the right direction is less than 1 but greater than 0. 
   - A surface that faces directly left has a surface normal pointing directly to the left (negative x-axis). Its degree of orientation in the right direction is -1. 
2. **Upward-facing orientation:** 
   - Similar guidelines apply to upward-facing orientation, considering the y-axis. 
3. **Outward-facing orientation:** 
   - A surface that faces directly outward towards the viewer has a surface normal pointing directly towards the viewer (z-axis). Its degree of orientation in the outward direction is 1. 
   - A surface that faces slightly downward and outward has a surface normal pointing slightly downward and outward. Its degree of orientation in the outward direction is less than 1 but greater than 0. 
Provide your final assessment in JSON format: 
<output> 
{  "reasoning_steps": ["Detail your reasoning here."],  "right": "[color with higher degree of orientation in the right direction]",  "up": "[color with higher degree of orientation in the upward direction]",  "out": "[color with higher degree of orientation in the outward direction]"}</output> 
Remember, this task requires a nuanced assessment of surface orientations in 3D space as represented in a 2D image. Take into account perspective, shadows, and other visual cues that might indicate the orientation of each surface. Your analysis should reflect the continuous nature of these orientations rather than binary classifications. 
Carefully examine the image and provide a thorough analysis before making your final assessment.