update readme

README.md

@@ -9,8 +9,7 @@ This repository contains the code for "[3PSDF: Three-Pole Signed Distance Functi
 
 1. [Introduction](#introduction)
 2. [Install](#install)
-3. [Usage](#usage)
-4. [Contacts](#contacts)
+3. [Contacts](#contacts)
 
 ## Introduction
 
@@ -20,58 +19,6 @@ This code repository currently contains two parts of code: (1) C++ code for comp
 
 ## Install
 
-#### 1. Data generation (C++)
-
-The folder `data_generation` contains the C++ code for generating 3PSDF samples. 
-
-This repository is self-contained -- you do not need to install any external libraries. 
-Simply run the following lines to compile the code:
-
-  ```
-  cd data_generation
-  mkdir build
-  cd build
-  cmake ..
-  make -j8
-  ```
-
-The code is only tested on Ubuntu 16.04 and 18.04.
-
-#### 2. Code for Single-view Reconstruction (Python)
-
-TODO
-
-## Usage
-
-#### 1. Data generation 
-
-After compilation, binaries named `gen_3psdf_samples` and `batch_generate` will be generated.
-
-(1) `gen_3psdf_samples`: the binary generates 3PSDF sampling points using octree-based sampling. 
-
-Simply run `./gen_3psdf_samples` under the `build` folder will activate a demo setting that reconstructs an open box `soldier_fight.obj` under `/data` folder and saves (a) the generated 3PSDF samples (the`.sdf`file), (b) the mesh reconstructed from the computed 3PSDF field (the`.obj`file), and (c) the sampling point positions (the`.ply`file) to the `/output` folder.
-
-To customize the usage of the program:
-
-```
-./gen_3psdf_samples input.obj output.sdf output_recon.obj output_sample_points.ply octree_depth [default=9] flag_writeSDF [default=1] flag_recon_3PSDF [default=1] flag_writePLY [default=1]"
-```
-
-
-(2) `batch_generate`: the binary that generates 3PSDF sampling points in batch. 
-
-
-To customize the usage of the program:
-
-```
-./batch_generate todo_list.txt inDir outSDFDir outObjDir outPlyDir octree_depth [default=9] \
-      flag_writeSDF [default=0] flag_writeOBJ [default=1] flag_writePLY [default=1]"
-```
-
-
-#### 2. Single-view Reconstruction (SVR)
-
-TODO
 
 
 ## Contacts

data_generation/README.md

@@ -0,0 +1,54 @@
+# 3PSDF Data Generation
+
+This repository contains code for 1) computing 3PSDF field from a given mesh and 2) generating raw sampling data for network training.
+
+
+
+## Install
+
+This repository is self-contained -- you do not need to install any external libraries. 
+Simply run the following lines to compile the code:
+
+  ```
+  cd data_generation
+  mkdir build
+  cd build
+  cmake ..
+  make -j8
+  ```
+
+The code is only tested on Ubuntu 16.04 and 18.04.
+
+
+## Usage
+
+#### 1. Data generation 
+
+After compilation, binaries named `gen_3psdf_samples` and `batch_generate` will be generated.
+
+(1) `gen_3psdf_samples`: the binary generates 3PSDF sampling points using octree-based sampling. 
+
+Simply run `./gen_3psdf_samples` under the `build` folder will activate a demo setting that reconstructs an open box `soldier_fight.obj` under `/data` folder and saves (a) the generated 3PSDF samples (the`.sdf`file), (b) the mesh reconstructed from the computed 3PSDF field (the`.obj`file), and (c) the sampling point positions (the`.ply`file) to the `/output` folder.
+
+To customize the usage of the program:
+
+```
+./gen_3psdf_samples input.obj output.sdf output_recon.obj output_sample_points.ply octree_depth [default=9] flag_writeSDF [default=1] flag_recon_3PSDF [default=1] flag_writePLY [default=1]"
+```
+
+
+(2) `batch_generate`: the binary that generates 3PSDF sampling points in batch. 
+
+
+To customize the usage of the program:
+
+```
+./batch_generate todo_list.txt inDir outSDFDir outObjDir outPlyDir octree_depth [default=9] \
+      flag_writeSDF [default=0] flag_writeOBJ [default=1] flag_writePLY [default=1]"
+```
+
+
+## Contacts
+
+Weikai Chen: <[email protected]>
+