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Description
I coud train and evaluate the generated model for the MVTec hazelnut class dataset in my
PC, by erasing the rest of the classes in all_types = , and just let : all_types = ['hazelnut']
inside run_training.py, and eval.py.
Being my path to hazelnut this:
C:\Users\libro\pytorch-cutpaste\Data\hazelnut.
Then i was trying to execute run_training.py from googles colab, to speed up
the training cause i have no GPU, but run_training.py, can not find the images.
Already tried two aproches to upload the Data folder to colab:
1_Uploaded that folder as is in my PC, to my goggle drive C: path.
2_ forked your repository, and added the Data/hazelnut etc folders to my version of your repository .
I can see my pictures at colab in: /content/pytorch-cutpaste/Data/hazelnut/train/good
when i clone my repo version.
And at: /content/drive/MyDrive/Data/hazelnut/train/good when I clone your repo original version .
In both cases i got this errror:
!python run_training.py --model_dir models --head_layer 2
Namespace(type='all', epochs=256, model_dir='models', pretrained=True, test_epochs=10, freeze_resnet=20, lr=0.03, optim='sgd', batch_size=64, head_layer=2, variant='3way', cuda=False, workers=8)
using device: cpu
training hazelnut
loading images
loaded 0 images
I was lucky reading and saveing one picture from hazelnut....good folder in colab
by adding this to dataset.py to be sure that i was able to access to the good folder
that is needed during training.
###################################################################
import cv2
root_dir = "/content/drive/MyDrive/Data"
img = cv2.imread(root_dir + "/hazelnut/train/good/aume0.PNG")
cv2.imwrite(root_dir + "/hazelnut/train/good/saveit!.PNG", img)
root_dir1 = "/content/pytorch-cutpaste/Data"
img1 = cv2.imread(root_dir + "/hazelnut/train/good/aume1.PNG")
cv2.imwrite(root_dir1 + "/hazelnut/train/good/saveit1!.PNG", img1)
####################################################################
How can I to make dataset.py, to retrieve my pictures from colab, being MyDrive, the
favorite option?