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Florent Guiotte 2023-02-15 10:49:10 +02:00
parent a89ccb3cac
commit 10d0af0099
3 changed files with 7 additions and 9 deletions
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2
_config.yml
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@ -19,7 +19,7 @@ icon: 🎓 # 🧥 # 🚀 #🚲 # 🌐 #👤 # 🧑🏼‍💻 # 🧔 # 🛰️ #
url: https://florent.guiotte.fr # the base hostname & protocol for your site url: https://florent.guiotte.fr # the base hostname & protocol for your site
baseurl: # the subpath of your site, e.g. /blog/ baseurl: # the subpath of your site, e.g. /blog/
last_updated: true # set to true if you want to display last updated in the footer last_updated: false # set to true if you want to display last updated in the footer
impressum_path: # set to path to include impressum link in the footer, use the same path as permalink in a page, helps to conform with EU GDPR impressum_path: # set to path to include impressum link in the footer, use the same path as permalink in a page, helps to conform with EU GDPR
# ----------------------------------------------------------------------------- # -----------------------------------------------------------------------------

4
_pages/about.md
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@ -31,9 +31,7 @@ segmentation** on a very a fine scale! Earlier, I did my [Ph.D.
thesis][thesis] in [LETG Rennes][letg], [IRISA's OBELIX team][obelix] thesis][thesis] in [LETG Rennes][letg], [IRISA's OBELIX team][obelix]
and [Tellus Environment][tellus]. The topic was to propose new and and [Tellus Environment][tellus]. The topic was to propose new and
efficient ways of processing **3D point clouds** from **LiDAR data**, efficient ways of processing **3D point clouds** from **LiDAR data**,
using **morphological hierarchies** and deep learning. using **morphological hierarchies** and **machine learning**.
I am currently looking for new adventures!

10
_projects/renders.md
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@ -95,10 +95,10 @@ renderer.
Here you can see a voxelization of the previous point cloud. The colors Here you can see a voxelization of the previous point cloud. The colors
represent the LiDAR intensity, using the same color map ranging from represent the LiDAR intensity, using the same color map ranging from
purple for low LiDAR intensities, to yellow for high intensities. The purple for low LiDAR intensities, to yellow for high intensities. The
colors are shaded with a virtual sun by using a realist ray-tracing and colors are shaded with a virtual sun by using a physically based
a logarithmic exposure sensitivity. The colors appear a little washed ray-tracing renderer and a logarithmic exposure sensitivity. The colors
out, as they would be on a real camera under similar lighting appear a little washed out, as they would be on a real camera under
conditions. similar lighting conditions.
Nothing really provide support to open voxels in Blender. So I write Nothing really provide support to open voxels in Blender. So I write
this Python script to open voxel files from my [Idefix Python this Python script to open voxel files from my [Idefix Python
@ -145,7 +145,7 @@ def gen_voxels(coords, colors):
+ vertices_base).reshape(-1, 3) + vertices_base).reshape(-1, 3)
faces = (faces_base[None].repeat(vxl_count, axis=0) faces = (faces_base[None].repeat(vxl_count, axis=0)
+ (np.arange(vxl_count) + (np.arange(vxl_count)
* 8)[None].repeat(6, axis=0).T[...,None]).reshape(-1, 4) * 8)[None].repeat(6, axis=0).T[...,None]).reshape(-1, 4)
colors = colors.repeat(6) colors = colors.repeat(6)
new_mesh = bpy.data.meshes.new('vxl_mesh') new_mesh = bpy.data.meshes.new('vxl_mesh')