Turn off GPU

src/product_gen/generate_lamp.py

@@ -8,7 +8,7 @@ def generate_models(shape_parameters):
     # Shade
     if shape_parameters["shape"] == "mesh":
         shade = gs.generate_mesh_shade(shape_parameters)
-    elif shape_parameters["shape"] == "led":
+    elif shape_parameters["shape"] == "led" or "bio":
         shade = gs.generate_led_shade(shape_parameters)      
     else: # default pendant
         shade = gs.generate_pendant_shade(shape_parameters)   

src/rendering/setup_renderer.py

@@ -6,7 +6,7 @@ def setup_renderer(shape_parameters, engine="CYCLES"):
     this_scene = bpy.context.scene
     if engine=="CYCLES":
         this_scene.render.engine = 'CYCLES'
-        this_scene.cycles.device = 'GPU'
+        this_scene.cycles.device = 'CPU'
         this_scene.cycles.samples = 12.0
         this_scene.cycles.caustics_reflective = False
         this_scene.cycles.caustics_refractive = False

test/lamp_shape_generation.py

@@ -1,17 +1,37 @@
 import numpy as np
 import matplotlib.pyplot as plt
 
-height = 10
+height = 3
 radius = 2
 base_radius = 0.5
-base_length = 1.0
+base_length = 0.3
+
+def morph_shape(x, L, H, morph_type="linear"):
+    
+    y = np.ones(x.shape[0])
+    if morph_type == "linear":
+        y = (x/L)*H
+    elif morph_type == "logistic":
+        k = 10.0
+        v = 1.0
+        y = H/(1.0 + np.power(np.exp(-k*(x-L/4.0)), v))
+    elif morph_type == "sinusoid":
+        y = np.sin((x/L)*np.pi/2.0)
+    elif morph_type == "hyperbolic_tan":
+        y = np.tanh((x/L)*np.pi/2.0)
+    elif morph_type == "circle":
+        y = np.tanh((x/L)*np.pi/2.0)          
+    
+    return y
 
 x_base = np.linspace(0, base_length, 10)
 y_base = base_radius*np.ones(x_base.shape[0])
 
 x_lamp = np.linspace(base_length, height, 100)
-y_lamp = base_radius + ((x_lamp)/height)*(radius-base_radius)
-
+y_lamp = base_radius + morph_shape(x_lamp-base_length,
+                                   height-base_length,
+                                   radius-base_radius,
+                                   "hyperbolic_tan")
 x = np.append(x_base, x_lamp)
 y = np.append(y_base, y_lamp)
 plt.plot(x, y)
@@ -19,5 +39,5 @@ plt.plot(x, y)
 axes = plt.gca()
 axes.set_xlim([0, 1.1*base_length+height])
 axes.set_ylim([0,1.1*radius])
-
+plt.axis('equal')
 plt.show()