Can't run testModel or trainNetwork

[MikeZski]

Hi,

First of all I wanted to say that this is an amazing project and I see huge potential to use it in cultural heritage fields. A lot of museums are not digitising properly paintings because of lack of funds. Your work is something that can give amazing possibilities to popularise art in the internet. Thanks for doing it!

As my knowledge about coding is quite limited there may be a stupid errors I'm making so I will explain everything I have done.

1. Machine I'm trying to use is using Windows and Nvidia 3070 mobile
2. I installed python 3.7, tensorflow 1.15 cuda toolkit 10.0.313, numpy, imageio and opencv.
3. I have created a folder on desktop with cloned repository from github.
   C:\Users\Pan\Desktop\deep_brdf\multi-image-deepNet-SVBRDF-acquisition
4. I have placed one tiff photo with dimentions of 256x256 in "testImagesExamples". Later on I added "test" folder and copied same image (It is only one but even if I put multiple errors are the same)
5. I have downloaded pretrained weights adn put in main folder in "checkpointTrained" folder.
6. I run ./testModel.sh --mode eval
7. I got this error:

2023-03-31 15:20:03.432947: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudart64_100.dll
WARNING:tensorflow:From pixes2Material.py:138: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.

WARNING:tensorflow:From pixes2Material.py:166: The name tf.reset_default_graph is deprecated. Please use tf.compat.v1.reset_default_graph instead.

loaded NoMaxPooling = False
loaded includeDiffuse = True
loaded loss = mixed
loaded nbTargets = 4
loaded ngf = 64
loaded useCoordConv = True
loaded useLog = True
loaded which_direction = AtoB
NoAugmentationInRenderings = False
NoMaxPooling = False
batch_size = 1
checkpoint = checkpointTrained
feedMethod = files
firstAsGuide = False
fixImageNb = True
imageFormat = png
includeDiffuse = True
inputMode = folder
input_dir = testImagesExamples/
input_size = 256
jitterLightPos = False
jitterRenderings = False
jitterViewPos = False
l1_weight = 100.0
logOutputAlbedos = False
loss = mixed
lr = 2e-05
maxImages = 5
max_epochs = None
max_steps = None
mode = test
nbDiffuseRendering = 3
nbInputs = 10
nbSpecularRendering = 6
nbTargets = 4
ngf = 64
output_dir = OutputDirectory
poolingtype = max
progress_freq = 50
renderingScene = staticViewPlaneLight
save_freq = 5000
seed = 178845285
summary_freq = 50
testFolder = test
test_freq = 20000
trace_freq = 0
trainFolder = train
useAmbientLight = False
useCoordConv = True
useLog = True
which_direction = AtoB
Traceback (most recent call last):
File "pixes2Material.py", line 391, in
main()
File "pixes2Material.py", line 180, in main
data.loadPathList(a.inputMode, a.mode, a.mode == "train")
File "C:\Users\Pan\Desktop\deep_brdf\multi-image-deepNet-SVBRDF-acquisition\dataReader.py", line 74, in loadPathList
self.__loadFromDirectory(runMode, randomizeOrder)
File "C:\Users\Pan\Desktop\deep_brdf\multi-image-deepNet-SVBRDF-acquisition\dataReader.py", line 92, in __loadFromDirectory
raise ValueError("The list of filepaths is empty :( : " + path)
ValueError: The list of filepaths is empty :( : testImagesExamples/test

I tried to retrain the network.

1. I have downloaded dataset and put in another folder. C:\Users\Pan\Desktop\deep_brdf\materialsData_multi_image
2. I try to run ./trainNetwork.sh "/c/Users/Pan/Desktop/deep_brdf/materialsData_multi_image/train"
3. I got this message
   "2023-03-31 15:18:41.929123: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudart64_100.dll
   WARNING:tensorflow:From pixes2Material.py:138: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.

NoAugmentationInRenderings = False
NoMaxPooling = False
batch_size = 8
checkpoint = None
feedMethod = render
firstAsGuide = False
fixImageNb = False
imageFormat = png
includeDiffuse = True
inputMode = folder
input_dir = myInputDir
input_size = 512
jitterLightPos = True
jitterRenderings = False
jitterViewPos = True
l1_weight = 100.0
logOutputAlbedos = True
loss = mixed
lr = 2e-05
maxImages = 5
max_epochs = None
max_steps = 400000
mode = train
nbDiffuseRendering = 3
nbInputs = 1
nbSpecularRendering = 6
nbTargets = 4
ngf = 64
output_dir = trainedModel/
poolingtype = max
progress_freq = 500
renderingScene = movingViewHemiSpotLightOneSurface
save_freq = 10000
seed = 2020137482
summary_freq = 1000
testFolder = test
test_freq = 20000
trace_freq = 0
trainFolder = train
useAmbientLight = True
useCoordConv = True
useLog = True
which_direction = AtoB
Traceback (most recent call last):
File "pixes2Material.py", line 391, in
main()
File "pixes2Material.py", line 180, in main
data.loadPathList(a.inputMode, a.mode, a.mode == "train")
File "C:\Users\Pan\Desktop\deep_brdf\multi-image-deepNet-SVBRDF-acquisition\dataReader.py", line 71, in loadPathList
raise ValueError("The input path doesn't exist :(!")
ValueError: The input path doesn't exist :(!
"
I assume that an error is on my side but I'm lacking skills to find where. I'm trying to solve this issue on my own but it is already second day of trying everything and I got still no results. I would appreciate a lot if you can take a look and tell me where is the problem.

Best regards,
Mike.

[valentin-deschaintre]

Hello,

Thanks for your message, it looks like it's a problem with finding the image you are trying to run. I don't think the current version of this code supports tiff images. Could you try converting it to PNG just for the test?

Valentin