Merge branch 'bordel_laurent' of git.inpt.fr:tocard-inc/enseeiht/projet-be into bordel_laurent

docs/slides.md

@@ -2,8 +2,7 @@
 theme: academic
 class: text-white
 coverAuthor: Laurent Fainsin, Damien Guillotin, Pierre-Eliot Jourdan
-coverBackgroundUrl: >-
-  https://images.unsplash.com/photo-1655720408861-8b04c0724fd9?ixlib=rb-4.0.3&ixid=MnwxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8
+coverBackgroundUrl: https://images.unsplash.com/photo-1655720408861-8b04c0724fd9?ixlib=rb-4.0.3&ixid=MnwxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8
 coverBackgroundSource: unplash
 coverBackgroundSourceUrl: https://unsplash.com/photos/Vc0CmuIfMg0
 coverDate: '2023-01-05'
@@ -25,14 +24,85 @@ Sujet 6 - Reformulation du MVS par level sets
 
 <img src="https://upload.wikimedia.org/wikipedia/commons/7/78/Level_set_method.png" class="m-auto -mt-7"/>
 
+<style>
+span.katex {
+    position: absolute;
+    top: 48%;
+}
+</style>
+
+$\mathcal{V}_t = \{ \textbf{Q} \in \mathbb{R}^3, u(\textbf{Q}) = t \}, \quad t\in [0,1], \quad u \colon \mathbb{R}^3 \to [0, 1]$
+
+<a href="https://en.wikipedia.org/wiki/Level-set_method" class="absolute bottom-0 font-extralight mb-1 mr-2 right-0 text-xs">Wikipedia</a>
+
 ---
 
 ## Exemple Level sets 2D
 
+<img src="figs/lvl7_2D.gif" class="m-auto mt-5"/>
+
+---
+
+## Exemple Level sets 3D
+
+<img src="figs/lvl7_3D.gif" class="m-auto -mt-1 h-125"/>
+
+---
+
+## Approximation du volume
+
 <img src="figs/lvl7_2D.png" class="m-auto h-110"/>
 
-<Footnotes separator>
-  <Footnote>
-    Variational principles, surface evolution, PDEs, level set methods, and the stereo problem - Olivier Faugeras, Renaud Keriven, 1998
-  </Footnote>
-</Footnotes>
+<span class="absolute bottom-0 font-extralight mb-1 mr-2 right-0 text-xs">Variational principles, surface evolution, PDEs, level set methods, and the stereo problem - Olivier Faugeras, Renaud Keriven, 1998</span>
+
+---
+
+## Discrétisation de l'espace
+
+<img src="https://upload.wikimedia.org/wikipedia/commons/b/bc/Voxels.svg" class="m-auto h-110">
+
+<a href="https://en.wikipedia.org/wiki/Voxel" class="absolute bottom-0 font-extralight mb-1 mr-2 right-0 text-xs">Wikipedia</a>
+
+---
+
+## Mise à jour du volume
+
+consensus blabla
+
+---
+
+## Initialisation du volume
+
+ones ou alors shape from silouhette
+
+---
+
+## Exemple Shape from Silouhette
+
+---
+
+## Raytracing
+
+<img src="https://cdn.discordapp.com/attachments/953586522572066826/1068141883810914427/fvi2.png" class="m-auto -mt-10 h-125"/>
+
+---
+
+## Raytracing
+
+<img src="https://cdn.discordapp.com/attachments/953586522572066826/1068141884242931712/fvi4.png" class="m-auto -mt-10 h-125"/>
+
+---
+
+## Raytracing
+
+<img src="https://cdn.discordapp.com/attachments/953586522572066826/1068141884679147602/fvi6.png" class="m-auto -mt-10 h-125"/>
+
+---
+
+## Raytracing
+
+<img src="https://cdn.discordapp.com/attachments/953586522572066826/1068141885056622661/fvi8.png" class="m-auto -mt-10 h-125"/>
+
+---
+
+## Résultats

src/levelset.py

@@ -1,9 +1,9 @@
+import imageio.v2 as imageio
+import matplotlib.pyplot as plt
 import mcubes
 import numpy as np
-import matplotlib.pyplot as plt
-import imageio.v2 as imageio
 import perlin_noise
-
+from rich.progress import track
 
 def generate_perlin_noise_3d(shape, res):
     def f(t):
@@ -79,20 +79,24 @@ V = np.array(V)
 V = (V - V.min()) / (V.max() - V.min())
 
 frame_list = []
-for i in np.linspace(0.05, 0.55, 100):
+for i in track(np.linspace(0.05, 0.55, 100)):
     plt.clf()
     plt.subplot(1, 2, 1)
     plt.imshow(V, cmap="gray")
     plt.contour(V, [i], colors="r")
     plt.plot([0, 0, 100, 100, 0], [0, 100, 100, 0, 0], "k-")
-    plt.axis('off')
+    plt.xlim(0, 100)
+    plt.ylim(0, 100)
+    plt.axis("off")
 
     plt.subplot(1, 2, 2)
     plt.imshow(V > i, cmap="gray")
     plt.plot([0, 0, 100, 100, 0], [0, 100, 100, 0, 0], "k-")
-    plt.axis('off')
+    plt.xlim(0, 100)
+    plt.ylim(0, 100)
+    plt.axis("off")
 
-    plt.savefig(f"/tmp/frame.png")
+    plt.savefig(f"/tmp/frame.png", dpi=300, bbox_inches="tight", pad_inches=0, transparent=True)
     frame_list.append(imageio.imread(f"/tmp/frame.png"))
 
-imageio.mimsave('picture.gif', frame_list + frame_list[::-1], fps=60)
+imageio.mimsave("docs/figs/lvl7.gif", frame_list + frame_list[::-1], fps=60)