more updates
This commit is contained in:
parent
1e20814685
commit
583b24274c
3 changed files with 588 additions and 50 deletions
445
Midterm_submittion.py
Normal file
445
Midterm_submittion.py
Normal file
|
|
@ -0,0 +1,445 @@
|
|||
#!/usr/bin/env python
|
||||
# coding: utf-8
|
||||
|
||||
|
||||
import numpy as np
|
||||
import math
|
||||
import imageio
|
||||
import time
|
||||
import random
|
||||
import cython
|
||||
|
||||
|
||||
|
||||
"""
|
||||
This class allows us to manipulate vectors
|
||||
Not all of the functions are used yet - but they might be later when we start adding things
|
||||
"""
|
||||
|
||||
@cython.cclass
|
||||
class Vec3:
|
||||
v = cython.declare(cython.float[3],visibility="public")
|
||||
def __cinit__(self, x:cython.double =0, y:cython.double=0, z:cython.double=0):
|
||||
self.v:cython.float[3] = [x, y, z]
|
||||
|
||||
def __init__(self, x:cython.double =0, y:cython.double=0, z:cython.double=0):
|
||||
self.v:cython.float[3] = [x, y, z]
|
||||
|
||||
def __add__(self, other):
|
||||
return Vec3(self.v[0] + other.v[0],self.v[1] + other.v[1],self.v[2] + other.v[2],)
|
||||
|
||||
def __sub__(self, other):
|
||||
return Vec3(self.v[0] - other.v[0],self.v[1] - other.v[1],self.v[2] - other.v[2],)
|
||||
|
||||
def __mul__(self, other):
|
||||
if isinstance(other, Vec3):
|
||||
return Vec3(self.v[0] * other.v[0],self.v[1] * other.v[1],self.v[2] * other.v[2],)
|
||||
elif isinstance(other, (int, float)):
|
||||
return Vec3(self.v[0] * other,self.v[1] * other,self.v[2] * other,)
|
||||
raise TypeError("Can only multiply by a Vec3 or scalar (int or float).")
|
||||
|
||||
@cython.cfunc
|
||||
def __truediv__(self, scalar):
|
||||
if scalar == 0:
|
||||
raise ValueError("Cannot divide by zero.")
|
||||
return Vec3(*(self.v[i] / scalar for i in range(3)))
|
||||
|
||||
def length(self)->cython.float:
|
||||
return math.sqrt(self.v[0]**2 + self.v[1]**2 + self.v[2]**2)
|
||||
|
||||
@cython.cfunc
|
||||
def normalize(self):
|
||||
length = self.length()
|
||||
return self / length if length > 0 else Vec3()
|
||||
|
||||
def to_tuple(self):
|
||||
return (self.v[0],self.v[1],self.v[2])
|
||||
|
||||
def __repr__(self):
|
||||
return f"Vec3({self.v[0]}, {self.v[1]}, {self.v[2]})"
|
||||
|
||||
@cython.cfunc
|
||||
def dot(self, other):
|
||||
return self.v[0]* other.v[0]+self.v[1]* other.v[1]+self.v[2]* other.v[2]
|
||||
|
||||
|
||||
|
||||
|
||||
"""
|
||||
Here we will be calculating what the value for n is based on T, P, but we will
|
||||
also be taking dispersion into account - remember, we are considering 440 nm, 550 nm, 680 nm
|
||||
|
||||
These equations match the tabulated results made by Penndorf
|
||||
"""
|
||||
|
||||
wavelengths = Vec3(0.68, 0.55, 0.44) # These are the wavelengths in um
|
||||
|
||||
# The n_s values gives us the different refractive indices for the different wavelenghts
|
||||
# The n values give us the new refractive indices depending on the temperature and pressure
|
||||
|
||||
@cython.cfunc
|
||||
def refraction_calculator(T:cython.int, P:cython.int) -> tuple[Vec3, Vec3]:
|
||||
alpha:cython.float = 0.00367 # in inverse Celsius
|
||||
t_s:cython.int = 15 # degrees Celsius
|
||||
p_s:cython.int = 760 # mmHg
|
||||
|
||||
n_s_values = [] # for debugging / comparing to the internet values
|
||||
n_values = []
|
||||
n_s:cython.double
|
||||
n:cython.double
|
||||
i:cython.int
|
||||
for i in [wavelengths.v[0], wavelengths.v[1], wavelengths.v[2]]:
|
||||
n_s = 1 + (0.05792105 / (238.0185 - i**-2) + 0.00167917 / (57.362 - i**-2))
|
||||
|
||||
n = ((n_s - 1) * ((1 + alpha * t_s) / (1 + alpha * T)) * (P / p_s)) + 1
|
||||
|
||||
n_s_values.append(n_s)
|
||||
n_values.append(n)
|
||||
|
||||
return Vec3(*n_s_values), Vec3(*n_values)
|
||||
|
||||
@cython.cfunc
|
||||
def beta(n_values:Vec3):
|
||||
|
||||
N_s:cython.double = 2.54743e7 # um^-3
|
||||
|
||||
beta_values = []
|
||||
|
||||
for i, n in enumerate(n_values.v):
|
||||
wavelength = wavelengths.v[i] # Corresponding wavelength value
|
||||
beta_1 = ((8 * math.pi * (n**2 - 1)**2) / ((2 * N_s) * (wavelength)**4))*1e6 # The whole thing should be in m^-1 to match with the rest of the code
|
||||
|
||||
beta = (beta_1*10)
|
||||
beta_values.append(beta)
|
||||
|
||||
return Vec3(beta_values[0],beta_values[1],beta_values[2])
|
||||
|
||||
|
||||
# Example usage, normal is 25, 750
|
||||
T:cython.int = 5 # Temperature in degrees Celsius
|
||||
P:cython.int = 760 # Pressure in mmHg
|
||||
n_s_values:Vec3
|
||||
n_values:cython.double
|
||||
n_s_values, n_values = refraction_calculator(T, P)
|
||||
beta_values = beta(n_values)
|
||||
|
||||
#print("n_s values:", refraction_calculator_result.v)
|
||||
#print("n values:", n_values.v)
|
||||
#print("Beta values:", beta_values.v)
|
||||
|
||||
|
||||
# In[7]:
|
||||
|
||||
|
||||
"""
|
||||
Here we are able to change the sun's direction - once the GUI is in place, this will be done from there
|
||||
"""
|
||||
|
||||
kInfinity = float('inf')
|
||||
angle_degrees:cython.int = 90 # Sun direction in degrees (0 to 90, noon to sunset)
|
||||
angle_radians:cython.double = math.radians(angle_degrees) # Convert to radians
|
||||
sunDir:Vec3 = Vec3(0, math.cos(angle_radians), -math.sin(angle_radians))
|
||||
|
||||
|
||||
"""
|
||||
The betaR values come from the previous cell
|
||||
"""
|
||||
|
||||
#betaR = Vec3(3.8e-6, 13.5e-6, 33.1e-6), this is what the Nishita paper used
|
||||
betaR = Vec3(*beta_values.v) # Keeps it as a Vec3
|
||||
|
||||
|
||||
"""
|
||||
There are many "categories" of aerosols and each has their own extinction coefficient (I removed the factor of 1.1)
|
||||
|
||||
Continental Clean - 26e-6 g = 0.709
|
||||
Continental Average - 75e-6 g = 0.703
|
||||
Continental Polluted - 175e-6 g = 0.698
|
||||
|
||||
Urban - 353e-6 g = 0.689
|
||||
|
||||
Desert - 145e-6 g = 0.729
|
||||
|
||||
Maritime Clean - 90e-6 g = 0.772
|
||||
Maritime Polluted - 115e-6 g = 0.756
|
||||
Maritime Tropic - 43e-6 g = 0.774
|
||||
|
||||
Arctic - 23e-6 g = 0.721
|
||||
|
||||
Antarctic - 11e-6 g = 0.784
|
||||
|
||||
|
||||
"""
|
||||
betaM = Vec3(11e-6, 11e-6, 11e-6) # We need to have the Mie scattering be the same in all the directions
|
||||
# The greater the value of beta, the smaller the Mie scattering point (responsable for the halo around the sun)
|
||||
# If there is more pollution, we get a larger halo and the colors of the sunset become desaturated (more hazy)
|
||||
# Default is 21e-6
|
||||
|
||||
# For the value of betaM, we also need to change the anisotropy factor. This is in the same paper.
|
||||
g = 0.784
|
||||
|
||||
"""
|
||||
The atmosphere model we use is as follows, with the radii and the scale heights
|
||||
"""
|
||||
earthRadius:cython.int = 6360e3 #m
|
||||
atmosphereRadius:cython.int = 6420e3 #m (60 km higher than earth)
|
||||
Hr:cython.int = 7994
|
||||
Hm:cython.int = 1200
|
||||
|
||||
|
||||
# In[8]:
|
||||
|
||||
|
||||
"""
|
||||
This is the compute incident light funciton from Nishita's paper
|
||||
We translated it to Python and then are using cython to make it go faster
|
||||
|
||||
This is all explained in more detail in the submitted PDF
|
||||
"""
|
||||
|
||||
@cython.cfunc
|
||||
def computeIncidentLight(direction:Vec3) -> tuple[float,float,float]:
|
||||
tmin:cython.float=0
|
||||
tmax:cython.float=kInfinity
|
||||
|
||||
# We can change the origin position if we want, but for now it is 1 meter above the surface
|
||||
orig:Vec3 = Vec3(0, earthRadius + 1, 0)
|
||||
t0:cython.float
|
||||
t1:cython.float
|
||||
t0, t1 = raySphereIntersect(orig, direction, atmosphereRadius)
|
||||
if t1 < 0:
|
||||
return Vec3(0, 0, 0)
|
||||
if t0 > tmin and t0 > 0:
|
||||
tmin = t0
|
||||
if t1 < tmax:
|
||||
tmax = t1
|
||||
|
||||
numSamples:int = 16
|
||||
numSamplesLight:int = 8
|
||||
segmentLength = (tmax - tmin) / numSamples
|
||||
tCurrent = tmin
|
||||
sumR = Vec3()
|
||||
sumM = Vec3()
|
||||
opticalDepthR = 0
|
||||
opticalDepthM = 0
|
||||
mu:cython.float = direction.dot(sunDir) # This is the cosine of the angle between the direction vector (V) and the sun Direction
|
||||
|
||||
"""
|
||||
Phase functions - the anisotropy factor depends on the Mie scattering we have chosen, it is defined in the previous cell
|
||||
"""
|
||||
phaseR = (3 * (1 + (mu * mu))) / (16 * math.pi)
|
||||
phaseM = 3 / (8 * math.pi) * ((1 - g * g) * (1 + mu * mu)) / ((2 + g * g) * ((1 + g * g - 2 * g * mu) ** 1.5))
|
||||
|
||||
i:cython.int
|
||||
for i in range(numSamples):
|
||||
samplePosition = orig + direction * (tCurrent + segmentLength * 0.5)
|
||||
height = samplePosition.length() - earthRadius
|
||||
hr = math.exp(-height / Hr) * segmentLength
|
||||
hm = math.exp(-height / Hm) * segmentLength
|
||||
opticalDepthR += hr
|
||||
opticalDepthM += hm
|
||||
|
||||
# Sample position is the start, but it should be in the direction of the sun
|
||||
t0Light, t1Light = raySphereIntersect(samplePosition, sunDir, atmosphereRadius)
|
||||
|
||||
if t1Light < 0:
|
||||
continue
|
||||
|
||||
segmentLengthLight = (t1Light - t0Light) / numSamplesLight
|
||||
tCurrentLight = 0
|
||||
opticalDepthLightR = 0
|
||||
opticalDepthLightM = 0
|
||||
|
||||
j:cython.int
|
||||
for j in range(numSamplesLight):
|
||||
samplePositionLight = samplePosition + (sunDir * (tCurrentLight + segmentLengthLight * 0.5))
|
||||
heightLight = samplePositionLight.length() - earthRadius
|
||||
if heightLight < 0:
|
||||
break
|
||||
opticalDepthLightR += (math.exp(-heightLight / Hr) * segmentLengthLight)
|
||||
opticalDepthLightM += (math.exp(-heightLight / Hm) * segmentLengthLight)
|
||||
tCurrentLight += segmentLengthLight
|
||||
|
||||
if j == numSamplesLight - 1:
|
||||
tau = (betaR * (opticalDepthR + opticalDepthLightR)) + (betaM * (opticalDepthM + opticalDepthLightM))
|
||||
attenuation = Vec3(math.exp(-tau.v[0]), math.exp(-tau.v[1]), math.exp(-tau.v[2]))
|
||||
sumR += (attenuation * hr)
|
||||
sumM += (attenuation * hm)
|
||||
tCurrent += (segmentLength)
|
||||
|
||||
# Changing the * 20 number just changes the intensity os the light, it does not much change the colors themselves, this is the "magic number" Nishita used
|
||||
final_color = (sumR * betaR * phaseR + sumM * betaM * phaseM) * 20
|
||||
return final_color.to_tuple()
|
||||
|
||||
|
||||
# In[9]:
|
||||
|
||||
|
||||
"""
|
||||
These are complimentary functions that are used to solve the intensity of light. Again, from nishita's paper
|
||||
"""
|
||||
|
||||
@cython.cfunc
|
||||
def raySphereIntersect(orig:Vec3, direction:Vec3, radius:cython.double) -> tuple[cython.float,cython.float]:
|
||||
A:cython.double = direction.v[0]**2 + direction.v[1]**2 +direction.v[2]**2
|
||||
B:cython.double = 2 * (direction.v[0]*orig.v[0] +direction.v[1]*orig.v[1] +direction.v[2]*orig.v[2] )
|
||||
C:cython.double = orig.v[0]**2 + orig.v[1]**2 +orig.v[2]**2 - radius ** 2
|
||||
|
||||
t0: cython.float
|
||||
t1: cython.float
|
||||
t0, t1 = solveQuadratic(A, B, C)
|
||||
if t1 < 0:
|
||||
return (kInfinity, kInfinity)
|
||||
if t0 > t1:
|
||||
t0, t1 = t1, t0
|
||||
return (t0, t1)
|
||||
|
||||
@cython.cfunc
|
||||
def solveQuadratic(a:cython.double, b:cython.double, c:cython.double) -> tuple[cython.float,cython.float]:
|
||||
if b == 0:
|
||||
if a == 0:
|
||||
return (0, 0)
|
||||
x1 = 0
|
||||
x2 = math.sqrt(-c / a)
|
||||
return (x1, x2)
|
||||
discr = b ** 2 - 4 * a * c
|
||||
if discr < 0:
|
||||
return (kInfinity, kInfinity)
|
||||
|
||||
q = (-0.5 * (b - np.sqrt(discr))) if b < 0 else (-0.5 * (b + np.sqrt(discr)))
|
||||
x1 = q / a
|
||||
x2 = c / q
|
||||
return (x1, x2)
|
||||
|
||||
|
||||
# In[10]:
|
||||
|
||||
|
||||
"""
|
||||
Rendering Skydome image
|
||||
"""
|
||||
|
||||
@cython.cfunc
|
||||
def renderSkydome(filename):
|
||||
width:cython.int
|
||||
height:cython.int
|
||||
width, height = 256,256
|
||||
image = np.zeros((height, width, 3), dtype=float)
|
||||
|
||||
start_time = time.time() # Start timing
|
||||
|
||||
j:cython.int
|
||||
i:cython.int
|
||||
x:cython.float
|
||||
y:cython.float
|
||||
z2:cython.float
|
||||
phi:float
|
||||
theta:float
|
||||
direction:Vec3
|
||||
for j in range(height):
|
||||
for i in range(width):
|
||||
x = 2 * (i + 0.5) / (width - 1) - 1
|
||||
y = 2 * (j + 0.5) / (height - 1) - 1
|
||||
z2 = x * x + y * y
|
||||
if z2 <= 1:
|
||||
phi = math.atan2(y, x)
|
||||
theta = math.acos(1 - z2)
|
||||
# This changes for each pixel
|
||||
direction = Vec3(math.sin(theta) * math.cos(phi), math.cos(theta), math.sin(theta) * math.sin(phi))
|
||||
color = computeIncidentLight(direction)
|
||||
#color = computeIncidentLight(direction)
|
||||
|
||||
|
||||
# Assign the clipped color directly to the image array
|
||||
image[j][i][0] = np.clip(color, 0, 1)[0]
|
||||
image[j][i][1] = np.clip(color, 0, 1)[1]
|
||||
image[j][i][2] = np.clip(color, 0, 1)[2]
|
||||
|
||||
# Print elapsed time after each row
|
||||
elapsed_time = time.time() - start_time
|
||||
print(f"Rendering row {j + 1}/{height}, elapsed time: {elapsed_time:.2f} seconds")
|
||||
#print(f"Rendering row {j + 1}/{height}")
|
||||
|
||||
# Save result to a PNG image
|
||||
image = np.clip(image, 0, 1) * 255 # change 255
|
||||
imageio.imwrite(filename, image.astype(np.uint8))
|
||||
|
||||
|
||||
|
||||
# In[11]:
|
||||
|
||||
|
||||
"""
|
||||
Rendering camera image
|
||||
"""
|
||||
|
||||
|
||||
def renderFromCamera(filename: str):
|
||||
width: cython.int = 252
|
||||
height: cython.int = 252
|
||||
image = np.zeros((height, width, 3), dtype=np.float32)
|
||||
|
||||
aspectRatio: cython.float = width / float(height)
|
||||
fov: cython.float = 65.0 # Field of view
|
||||
angle: cython.float = np.tan(fov * np.pi / 180 * 0.5) # Camera's view angle
|
||||
|
||||
start_time = time.time() # Start timing
|
||||
|
||||
numPixelSamples: cython.int = 4
|
||||
y: cython.int
|
||||
x: cython.int
|
||||
m: cython.int
|
||||
n: cython.int
|
||||
rayx: cython.float
|
||||
rayy: cython.float
|
||||
direction: Vec3
|
||||
color: tuple # Assuming computeIncidentLight returns a tuple
|
||||
|
||||
for y in range(height):
|
||||
for x in range(width):
|
||||
sum_color = np.zeros(3, dtype=np.float32) # Use numpy array for accumulation
|
||||
|
||||
for m in range(numPixelSamples):
|
||||
for n in range(numPixelSamples):
|
||||
# Compute ray direction with jitter
|
||||
rayx = (2 * (x + (m + random.uniform(0, 1)) / numPixelSamples) / float(width) - 1) * aspectRatio * angle
|
||||
rayy = (1 - (y + (n + random.uniform(0, 1)) / numPixelSamples) / float(height) * 2) * angle
|
||||
|
||||
# Create the direction vector and normalize it
|
||||
direction = Vec3(rayx, rayy, -1).normalize()
|
||||
color = computeIncidentLight(direction) # Assuming this returns a tuple
|
||||
|
||||
# Accumulate color values
|
||||
sum_color[0] += color[0]
|
||||
sum_color[1] += color[1]
|
||||
sum_color[2] += color[2]
|
||||
|
||||
# Average the accumulated color and clip to [0, 1]
|
||||
image[y, x] = np.clip(sum_color / (numPixelSamples * numPixelSamples), 0, 1)
|
||||
|
||||
# Print elapsed time after each row
|
||||
elapsed_time = time.time() - start_time
|
||||
print(f"Rendering row {y + 1}/{height}, elapsed time: {elapsed_time:.2f} seconds")
|
||||
|
||||
# Save the result to a PNG image
|
||||
image = np.clip(image, 0, 1) * 255
|
||||
imageio.imwrite(filename, image.astype(np.uint8))
|
||||
|
||||
|
||||
|
||||
|
||||
# In[12]:
|
||||
|
||||
|
||||
"""
|
||||
Testing
|
||||
"""
|
||||
|
||||
renderSkydome("test.png")
|
||||
|
||||
|
||||
# In[ ]:
|
||||
|
||||
|
||||
|
||||
|
||||
168
app.py
168
app.py
|
|
@ -13,89 +13,181 @@ def get_api_params(coords):
|
|||
|
||||
# create tkinter window
|
||||
root_tk = tkinter.Tk()
|
||||
root_tk.geometry(f"{1000}x{700}")
|
||||
root_tk.title("map_view_simple_example.py")
|
||||
|
||||
# create map widget
|
||||
map_widget = tkintermapview.TkinterMapView(root_tk, width=1000, height=700, corner_radius=0)
|
||||
map_widget.pack(fill="both", expand=True)
|
||||
|
||||
# set other tile server (standard is OpenStreetMap)
|
||||
# map_widget.set_tile_server("https://mt0.google.com/vt/lyrs=m&hl=en&x={x}&y={y}&z={z}&s=Ga", max_zoom=22) # google normal
|
||||
# map_widget.set_tile_server("https://mt0.google.com/vt/lyrs=s&hl=en&x={x}&y={y}&z={z}&s=Ga", max_zoom=22) # google satellite
|
||||
|
||||
def printer():
|
||||
print("button")
|
||||
|
||||
environment_tk = tkinter.Tk()
|
||||
|
||||
|
||||
|
||||
class renderedImageZoom:
|
||||
def __init__(self,root,coords):
|
||||
self.image_window = root
|
||||
def __init__(self,root,image_window,aerosol_window):
|
||||
self.root = root
|
||||
self.root.geometry(f"{1000}x{700}")
|
||||
self.root.title("map_view_simple_example.py")
|
||||
|
||||
self.aerosol_window = aerosol_window
|
||||
# create map widget
|
||||
self.map_widget = tkintermapview.TkinterMapView(self.root, width=1000, height=700, corner_radius=0)
|
||||
self.map_widget.pack(fill="both", expand=True)
|
||||
self.map_widget.add_right_click_menu_command(label="Set as observer location",
|
||||
command=self.add_marker_event,
|
||||
pass_coords=True)
|
||||
|
||||
self.map_widget.add_right_click_menu_command(label="get altitude",
|
||||
command=self.get_altitude,
|
||||
pass_coords=True)
|
||||
|
||||
#self.map_widget.add_right_click_menu_command(label="open_window",
|
||||
# command=self.show_image,
|
||||
# pass_coords=True)
|
||||
|
||||
|
||||
self.aerosol_window.title("options selector")
|
||||
|
||||
|
||||
|
||||
environemnt_info_text = tkinter.Label(self.aerosol_window, text="Please choose in which environment the sunset is occuring")
|
||||
environemnt_info_text.pack(side='top',pady=20,padx=10)
|
||||
|
||||
|
||||
#Continental Clean - 26e-6 g = 0.709
|
||||
#Continental Average - 75e-6 g = 0.703
|
||||
#Continental Polluted - 175e-6 g = 0.698
|
||||
#
|
||||
#Urban - 353e-6 g = 0.689
|
||||
#
|
||||
#Desert - 145e-6 g = 0.729
|
||||
#
|
||||
#Maritime Clean - 90e-6 g = 0.772
|
||||
#Maritime Polluted - 115e-6 g = 0.756
|
||||
#Maritime Tropic - 43e-6 g = 0.774
|
||||
#
|
||||
#Arctic - 23e-6 g = 0.721
|
||||
#
|
||||
#Antarctic - 11e-6 g = 0.784
|
||||
|
||||
buton_cont_clean = tkinter.Button(self.aerosol_window,text="Continental Clean",command=lambda: self.env_setter(26e-6,0.709));
|
||||
buton_cont_clean.pack(side='top',padx=10,pady=5)
|
||||
|
||||
buton_cont_avr = tkinter.Button(self.aerosol_window,text="Continental Average ",command=lambda: self.env_setter(75e-6,0.793));
|
||||
buton_cont_avr.pack(side='top',padx=10,pady=5)
|
||||
|
||||
buton_cont_poll = tkinter.Button(self.aerosol_window,text="Continental Polluted ",command=lambda: self.env_setter(175e-6,0.698));
|
||||
buton_cont_poll.pack(side='top',padx=10,pady=5)
|
||||
|
||||
buton_urban = tkinter.Button(self.aerosol_window,text="Urban ",command=lambda: self.env_setter(353e-6,0.689));
|
||||
buton_urban.pack(side='top',padx=10,pady=5)
|
||||
|
||||
buton_desert = tkinter.Button(self.aerosol_window,text="Desert ",command=lambda: self.env_setter(145e-6,0.729));
|
||||
buton_desert.pack(side='top',padx=10,pady=5)
|
||||
|
||||
buton_mar_clean = tkinter.Button(self.aerosol_window,text="Maritime Clean ",command=lambda: self.env_setter(90e-6,0.772));
|
||||
buton_mar_clean.pack(side='top',padx=10,pady=5)
|
||||
|
||||
buton_mar_poll = tkinter.Button(self.aerosol_window,text="Maritime Polluted ",command=lambda: self.env_setter(115e-6,0.756));
|
||||
buton_mar_poll.pack(side='top',padx=10,pady=5)
|
||||
|
||||
buton_mar_tro = tkinter.Button(self.aerosol_window,text="Maritime Tropic ",command=lambda: self.env_setter(43e-6,0.774));
|
||||
buton_mar_tro.pack(side='top',padx=10,pady=5)
|
||||
|
||||
buton_arctic = tkinter.Button(self.aerosol_window,text="Arctic ",command=lambda: self.env_setter(23e-6,0.721));
|
||||
buton_arctic.pack(side='top',padx=10,pady=5)
|
||||
|
||||
buton_antarctic = tkinter.Button(self.aerosol_window,text="Antarctic ",command=lambda: self.env_setter(11e-6,0.784));
|
||||
buton_antarctic.pack(side='top',padx=10,pady=5)
|
||||
|
||||
|
||||
self.image_window = image_window
|
||||
|
||||
self.image_window.title("Simulated Sunset")
|
||||
self.image_window.config(width=256,height=256)
|
||||
image = skydome.renderFromCamera(coords)
|
||||
#image = skydome.renderFromCamera(coords)
|
||||
self.canvas = tkinter.Canvas(self.image_window,bg="white")
|
||||
self.canvas.pack(fill=tkinter.BOTH,expand=True)
|
||||
#self.img = Image.fromarray(image,mode="RGB")
|
||||
#self.tk_image = ImageTk.PhotoImage(width=256,height=256,image=self.img)
|
||||
#img = ImageTk.PhotoImage(Image.open("highpress_camera.png"))
|
||||
|
||||
#self.canvas.create_image(0,0, anchor="center", image=self.tk_image)
|
||||
zoom_in_button = tkinter.Button(self.image_window, text="Zoom In", command=self.zoom_in)
|
||||
zoom_out_button = tkinter.Button(self.image_window, text="Zoom Out", command=self.zoom_out)
|
||||
render_button = tkinter.Button(self.image_window,text="render",command=self.render)
|
||||
zoom_in_button.pack(side=tkinter.LEFT)
|
||||
zoom_out_button.pack(side=tkinter.LEFT)
|
||||
render_button.pack(side=tkinter.RIGHT)
|
||||
|
||||
self.canvas.bind("<Button-4>",self.zoom_in)
|
||||
self.canvas.bind("<Button-5>", self.zoom_out)
|
||||
|
||||
def env_setter(self,environment_constant,g):
|
||||
self.betaM = skydome.Vec3(environment_constant,environment_constant,environment_constant)
|
||||
self.g = g
|
||||
|
||||
def render(self):
|
||||
image = skydome.renderFromCamera(self.coords,self.betaM,self.g,self.altitude)
|
||||
self.img = Image.fromarray(image,mode="RGB")
|
||||
self.tk_image = ImageTk.PhotoImage(width=256,height=256,image=self.img)
|
||||
#img = ImageTk.PhotoImage(Image.open("highpress_camera.png"))
|
||||
|
||||
self.canvas.create_image(0,0, anchor="nw", image=self.tk_image)
|
||||
zoom_in_button = tkinter.Button(self.image_window, text="Zoom In", command=self.zoom_in)
|
||||
zoom_out_button = tkinter.Button(self.image_window, text="Zoom Out", command=self.zoom_out)
|
||||
zoom_in_button.pack(side=tkinter.LEFT)
|
||||
zoom_out_button.pack(side=tkinter.LEFT)
|
||||
|
||||
self.canvas.bind("<Button-4>",self.zoom_in)
|
||||
self.canvas.bind("<Button-5>", self.zoom_out)
|
||||
|
||||
|
||||
def zoom_in(self, event=None):
|
||||
# Increase the image size by a factor (e.g., 1.2)
|
||||
self.img = self.img.resize((int(self.img.width * 1.2), int(self.img.height * 1.2)))
|
||||
self.tk_image = ImageTk.PhotoImage(self.img)
|
||||
self.canvas.delete("all")
|
||||
self.canvas.create_image(0, 0, anchor=tkinter.NW, image=self.tk_image)
|
||||
self.canvas.create_image(0, 0, anchor="nw", image=self.tk_image)
|
||||
|
||||
def zoom_out(self, event=None):
|
||||
# Decrease the image size by a factor (e.g., 0.8)
|
||||
self.img = self.img.resize((int(self.img.width * 0.8), int(self.img.height * 0.8)))#,resampling)
|
||||
self.tk_image = ImageTk.PhotoImage(self.img)
|
||||
self.canvas.delete("all")
|
||||
self.canvas.create_image(0, 0, anchor=tkinter.NW, image=self.tk_image)
|
||||
self.canvas.create_image(0, 0, anchor="nw", image=self.tk_image)
|
||||
|
||||
|
||||
|
||||
def show_image(coords):
|
||||
image_window = tkinter.Toplevel()
|
||||
# def show_image(self,coords):
|
||||
# self.coords = coords
|
||||
#image_shower = renderedImageZoom(image_window,coords)
|
||||
# self.image_window.mainloop()
|
||||
|
||||
image_shower = renderedImageZoom(image_window,coords)
|
||||
image_window.mainloop()
|
||||
def add_marker_event(self,coords):
|
||||
self.coords = coords
|
||||
print("marker added to {}".format(self.coords))
|
||||
self.map_widget.delete_all_marker()
|
||||
new_marker = self.map_widget.set_marker(self.coords[0], self.coords[1], text="sunset observer")
|
||||
self.get_altitude(coords)
|
||||
|
||||
def marker_click(marker):
|
||||
def marker_click(self,marker):
|
||||
print(f"marker clicked - text: {marker.text} position: {marker.position}")
|
||||
|
||||
|
||||
def add_marker_event(coords):
|
||||
print("marker added to {}".format(coords))
|
||||
map_widget.delete_all_marker()
|
||||
new_marker = map_widget.set_marker(coords[0], coords[1], text="sunset observer")
|
||||
|
||||
|
||||
def get_altitude(coords):
|
||||
print("getting altitude for {}\n".format(coords))
|
||||
params = get_api_params(coords)
|
||||
def get_altitude(self,coords):
|
||||
self.coords = coords
|
||||
print("getting altitude for {}\n".format(self.coords))
|
||||
params = get_api_params(self.coords)
|
||||
r = requests.get(URL,params)
|
||||
data = r.json()
|
||||
print(data['results'][0]['elevation'])
|
||||
self.altitude = data['results'][0]['elevation']
|
||||
|
||||
map_widget.add_right_click_menu_command(label="Set as observer location",
|
||||
command=add_marker_event,
|
||||
pass_coords=True)
|
||||
|
||||
map_widget.add_right_click_menu_command(label="get altitude",
|
||||
command=get_altitude,
|
||||
pass_coords=True)
|
||||
|
||||
map_widget.add_right_click_menu_command(label="open_window",
|
||||
command=show_image,
|
||||
pass_coords=True)
|
||||
|
||||
image_window = tkinter.Toplevel()
|
||||
|
||||
#image_shower = renderedImageZoom(image_window,coords)
|
||||
image_shower = renderedImageZoom(root_tk,image_window,environment_tk)
|
||||
root_tk.mainloop()
|
||||
|
||||
|
|
|
|||
17
skydome.py
17
skydome.py
|
|
@ -222,7 +222,7 @@ Antarctic - 11e-6
|
|||
|
||||
|
||||
"""
|
||||
betaM = Vec3(21e-6, 21e-6, 21e-6) # We need to have the Mie scattering be the same in all the directions
|
||||
#betaM = Vec3(21e-6, 21e-6, 21e-6) # We need to have the Mie scattering be the same in all the directions
|
||||
# The greater the value of beta, the smaller the Mie scattering point (responsable for the halo around the sun)
|
||||
# If there is more pollution, we get a larger halo and the colors of the sunset become desaturated (more hazy)
|
||||
# Default is 21e-6
|
||||
|
|
@ -235,12 +235,12 @@ Hm:cython.int = 1200
|
|||
|
||||
# The direction will change for each pixel
|
||||
@cython.cfunc
|
||||
def computeIncidentLight(direction:Vec3) -> tuple[float,float,float]:
|
||||
def computeIncidentLight(direction:Vec3,betaM,g,observerEarthRadius) -> tuple[float,float,float]:
|
||||
tmin:cython.float=0
|
||||
tmax:cython.float=kInfinity
|
||||
|
||||
# We can change the origin position if we want, but for now it is 1 meter above the surface
|
||||
orig:Vec3 = Vec3(0, earthRadius + 1, 0)
|
||||
orig:Vec3 = Vec3(0, observerEarthRadius + 1, 0)
|
||||
t0:cython.float
|
||||
t1:cython.float
|
||||
t0, t1 = raySphereIntersect(orig, direction, atmosphereRadius)
|
||||
|
|
@ -262,13 +262,13 @@ def computeIncidentLight(direction:Vec3) -> tuple[float,float,float]:
|
|||
mu:cython.float = direction.dot(sunDir) # This is the cosine of the angle between the direction vector (V) and the sun Direction
|
||||
|
||||
phaseR = (3 * (1 + (mu * mu))) / (16 * math.pi)
|
||||
g = 0.76
|
||||
#g = 0.76
|
||||
phaseM = 3 / (8 * math.pi) * ((1 - g * g) * (1 + mu * mu)) / ((2 + g * g) * ((1 + g * g - 2 * g * mu) ** 1.5))
|
||||
|
||||
i:cython.int
|
||||
for i in range(numSamples):
|
||||
samplePosition = orig + direction * (tCurrent + segmentLength * 0.5)
|
||||
height = samplePosition.length() - earthRadius
|
||||
height = samplePosition.length() - observerEarthRadius
|
||||
hr = math.exp(-height / Hr) * segmentLength
|
||||
hm = math.exp(-height / Hm) * segmentLength
|
||||
opticalDepthR += hr
|
||||
|
|
@ -288,7 +288,7 @@ def computeIncidentLight(direction:Vec3) -> tuple[float,float,float]:
|
|||
j:cython.int
|
||||
for j in range(numSamplesLight):
|
||||
samplePositionLight = samplePosition + (sunDir * (tCurrentLight + segmentLengthLight * 0.5))
|
||||
heightLight = samplePositionLight.length() - earthRadius
|
||||
heightLight = samplePositionLight.length() - observerEarthRadius
|
||||
if heightLight < 0:
|
||||
break
|
||||
opticalDepthLightR += (math.exp(-heightLight / Hr) * segmentLengthLight)
|
||||
|
|
@ -389,8 +389,9 @@ def renderSkydome(filename):
|
|||
|
||||
|
||||
|
||||
def renderFromCamera(filename):
|
||||
def renderFromCamera(filename,betaM,g,altitude):
|
||||
|
||||
observerEarthRadius = earthRadius + altitude
|
||||
width:cython.int
|
||||
height:cython.int
|
||||
width, height = 100, 100
|
||||
|
|
@ -420,7 +421,7 @@ def renderFromCamera(filename):
|
|||
|
||||
#This changes for each pixel, it is the direction we are looking in
|
||||
direction = Vec3(rayx, rayy, -1).normalize()
|
||||
color = computeIncidentLight(direction)
|
||||
color = computeIncidentLight(direction,betaM,g,observerEarthRadius)
|
||||
#image[y, x] = np.array(color)
|
||||
image[y][x] = np.clip(color, 0, 1)
|
||||
|
||||
|
|
|
|||
Loading…
Reference in a new issue