From a6960c82f238f5369d0f8274083456f2f0764c6b Mon Sep 17 00:00:00 2001
From: mhby1g21 <mhby1g21@soton.ac.uk>
Date: Wed, 16 Oct 2024 01:17:03 +0100
Subject: [PATCH] changed edgenet360 to edgenet-360
---
scripts/360monodepthexecution/extractDepthMap.ps1 | 2 +-
scripts/GUI.py | 4 ++--
scripts/combined.bat | 8 ++++----
3 files changed, 7 insertions(+), 7 deletions(-)
diff --git a/scripts/360monodepthexecution/extractDepthMap.ps1 b/scripts/360monodepthexecution/extractDepthMap.ps1
index cdee8f0..847c43a 100644
--- a/scripts/360monodepthexecution/extractDepthMap.ps1
+++ b/scripts/360monodepthexecution/extractDepthMap.ps1
@@ -6,7 +6,7 @@ $imageNameOrId = (Get-Content $configPath | Where-Object { $_ -match "imageId="
$scriptDir = Split-Path -Parent $MyInvocation.MyCommand.Path
# Calculate paths
$rootDir = Split-Path -Parent (Split-Path -Parent $scriptDir)
-$outputDir = Join-Path $rootDir "edgenet360\Data\Input"
+$outputDir = Join-Path $rootDir "edgenet-360\Data\Input"
# Docker container name or ID
$containerNameOrId = docker ps --filter "ancestor=$imageNameOrId" --format "{{.ID}}"
diff --git a/scripts/GUI.py b/scripts/GUI.py
index aac0d2c..8c860cd 100644
--- a/scripts/GUI.py
+++ b/scripts/GUI.py
@@ -20,8 +20,8 @@ def shift_image_selection():
pass
def copy_intermediary_outputs():
- source_folder = os.path.join(ROOT_DIR, "edgenet360", "Data", "Input")
- destination_folder = os.path.join(ROOT_DIR, "edgenet360", "Output")
+ source_folder = os.path.join(ROOT_DIR, "edgenet-360", "Data", "Input")
+ destination_folder = os.path.join(ROOT_DIR, "edgenet-360", "Output")
files_to_copy = ["depth_e.png", "enhanced_depth_e.png", "material.png", "rgb.png"]
for file_name in files_to_copy:
diff --git a/scripts/combined.bat b/scripts/combined.bat
index 6965380..85db3fb 100644
--- a/scripts/combined.bat
+++ b/scripts/combined.bat
@@ -20,13 +20,13 @@ for /f "tokens=1,2 delims==" %%a in (config.ini) do (
set scriptDir=%~dp0
set workingDir=%scriptDir%..
set monoDepthDir=%workingDir%\scripts\360monodepthexecution
-set outputDir=%workingDir%\edgenet360\Output
+set outputDir=%workingDir%\edgenet-360\Output
set materialRecogDir=%workingDir%\Dynamic-Backward-Attention-Transformer
-set edgeNetDir=%workingDir%\edgenet360
+set edgeNetDir=%workingDir%\edgenet-360
:: File paths
set checkpointFile=%materialRecogDir%\checkpoints\dpglt_mode95\accuracy\epoch=126-valid_acc_epoch=0.87.ckpt
-set shiftedImage=%scriptDir%shifted_t.png
+set shiftedImage=%scriptDir%\shifted_t.png
set monoDepthImage=%monoDepthDir%\rgb.jpg
:: Ensure the input file exists
@@ -82,7 +82,7 @@ popd
echo Running material recognition...
pushd "%materialRecogDir%"
call "%condaDir%\condabin\activate.bat" %materialEnv%
-python train_sota.py --data-root "./datasets" --batch-size 1 --tag dpglt --gpus 1 --num-nodes 1 --epochs 200 --mode 95 --seed 42 --test "%checkpointFile%" --infer "%materialRecogDir%/split_output/"
+python train_sota.py --data-root "./datasets" --batch-size 1 --tag dpglt --gpus 1 --num-nodes 1 --epochs 200 --mode 95 --seed 42 --test "%checkpointFile%" --infer "%materialRecogDir%/cubemap_faces/"
if errorlevel 1 (
echo Error: Material recognition failed. Please check the output above for more details.
call "%condaDir%\condabin\deactivate.bat"
--
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