use inline-python to visualize results

lsh · Nov 16, 2021 · 845afb9 · 845afb9
1 parent 9513155
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Showing 12 changed files with 187 additions and 12,050 deletions.
diff --git a/.DS_Store b/.DS_Store
diff --git a/.gitignore b/.gitignore
@@ -1 +1,2 @@
 /target
+imgui.ini
diff --git a/.polyscope.ini b/.polyscope.ini
@@ -0,0 +1,6 @@
+{
+    "windowHeight": 720,
+    "windowPosX": 20,
+    "windowPosY": 53,
+    "windowWidth": 1280
+}
diff --git a/Cargo.lock b/Cargo.lock
diff --git a/Cargo.toml b/Cargo.toml
@@ -1,7 +1,7 @@
 [package]
 name = "intrinsic-triangles"
 version = "0.1.0"
-edition = "2018"
+edition = "2021"
 
 [lib]
 path = "src/lib.rs"
@@ -13,3 +13,8 @@ ndarray = "0.15"
 ndarray-linalg = { version = "0.14", features = ["openblas-system"] }
 
 tobj = "3.2"
+
+
+# visualization
+#pyo3 = {version = "0.15", features = ["auto-initialize"]}
+inline-python = "0.7.1"
diff --git a/README.md b/README.md
@@ -2,12 +2,8 @@
 
 In this repo is code I wrote following along with the [Nicholas Sharp](https://nmwsharp.com/), [Mark Gillespie](https://markjgillespie.com/), [Keenan Crane](http://keenan.is/here)'s [course on geometry processing with intrinsic triangulations](https://www.youtube.com/watch?v=gcRDdYrgOhg). Also check out the [course repo](https://github.com/nmwsharp/intrinsic-triangulations-tutorial), which has more detailed comments.
 
-The binary target of this project generates two files `distance.csv` and `faces.csv`, which I use to visualize the results of the pegasus heat distance using [Polyscope](https://polyscope.run/).
-In order to generate the csvs, run:
+To visualize the results (requires numpy) and polyscope), run:
 ```shell
 cargo run --release
 ```
-To visualize the results (requires potpourri3d and polyscope), run:
-```shell
-python visualize.py
-```
+*note:* on MacOS using `pyenv` this might not run due to using `inline-python`.