From 8df8a9e7028db6ae765e7c897badb173d11162a3 Mon Sep 17 00:00:00 2001
From: Guillaume Duret <guillaume.duret@ec-lyon.fr>
Date: Wed, 14 Jun 2023 19:30:23 +0000
Subject: [PATCH] Update README.md

---
 README.md | 15 ++++++---------
 1 file changed, 6 insertions(+), 9 deletions(-)

diff --git a/README.md b/README.md
index b093389..1c0bfde 100644
--- a/README.md
+++ b/README.md
@@ -9,11 +9,10 @@ git clone https://gitlab.liris.cnrs.fr/maali/pvnet_method
 git checkout dev
 ```
 
-If the dataset is download from https://datasets.liris.cnrs.fr/fruitbin-version1, then the splitting of the data is described with txt files, a rearangment will have to be done to create different folder for Train, Eval and Testing. 
+If you have downloaded the dataset from https://datasets.liris.cnrs.fr/fruitbin-version1, the data splitting is described in txt files. To prepare the data for PVnet code with the FruitBin dataset, you need to perform preprocessing and rearrange the data to train/eval/test according to the steps described at https://gitlab.liris.cnrs.fr/gduret/fruitbin.
 
-For using this PVnet code for the dataset FruitBin, Preprossesing and splitting of the data have to be done following the steps described in https://gitlab.liris.cnrs.fr/gduret/fruitbin .
+An example of the folder architecture after rearrangement could be as follows:
 
-An example of folder architecture can be : 
 
 ```
 ├──Generated_Cameras_Training
@@ -70,7 +69,7 @@ An example of folder architecture can be :
 
 ```
 
-If the processed has been successful, the training command for each fruit is :
+If the preprocessing has been successful, the training command for each fruit is as follows:
 
 ```
 python models.py -cls_name fruit_name --path_base Path_of_the_preprocessed_data_folder --training_folder Name_folder_training --evaluation_folder Name_folder_evaluation
@@ -82,7 +81,7 @@ python models.py -cls_name kiwi1 --path_base /gpfsscratch/rech/uli/ubn15wo/Fruit
 ```
 
 
-To evaluate the model, segmentation result have to be saved : 
+To evaluate the model, the segmentation results need to be saved.: 
 
 The command can run as follow : 
 
@@ -106,13 +105,11 @@ as the example :
 python eval_pose.py --path_data=/gpfsscratch/rech/uli/ubn15wo/FruitBin1/FruitBin_low_1_0.7/ --folder_evaluation=Generated_Cameras_Evaluating/ --class_name=kiwi1 --symmetry=True
 ```
 
-For information, in FruitBin, all fruit are considered symetric except the pear and the banana. 
-
-
+Just for your information, in FruitBin, all fruits are considered symmetrical except for the pear and the banana.
 
 ## Authors and acknowledgment
 
-This code is from Pvnet, If you find this code useful for your research, please use the following BibTeX entry.
+This code is from Pvnet. If you find it useful for your research, please consider citing it using the following BibTeX entry:
 
 ```
 @inproceedings{peng2019pvnet,
-- 
GitLab