Hi,
I was trying out the pytorch Mask R-CNN/Faster R-CNN tutorial and noticed a few problems.
Problem #1:
The first thing you see when you open the page is that there is a google colab you can open, but this link doesn’t work anymore.
I have pytorch 10.0 installed and torchvision 0.11.1.
I ignored the not existing google colab notebook and tried just running the code in the tutorial, and experienced some more problems.
Problem #2:
import transforms as T
Did not work, as there was no transform package, I tried pip install transforms, but that is another unrelated package. I eventually fixed this by changing it to:
import torchvision.transforms as T
Problem #3:
In the tutorial this line of code is given:
data_loader = torch.utils.data.DataLoader(dataset, batch_size=2, shuffle=True, num_workers=4, collate_fn=collate_fn)
This causes problems because collate_fn is not an existing function, or I can’t find it. I tried looking in torch and torchvision but couldn’t find any collate_fn.
The putting everything together paragraph the tutorial states:
“In references/detection/, we have a number of helper functions to simplify training and evaluating detection models. Here, we will use references/detection/engine.py, references/detection/utils.py and references/detection/transforms.py. Just copy everything under references/detection to your folder and use them here.”
I have no idea where to find these folders to paste in my solution folder, I suspect the solution to my problem can be found there. Does anyone know where I can find them?
I downloaded the PennFudanDataset, I installed pycocotools because I am using a windows machine. I feel like I followed the appropriate steps.
Am I missing something? Or is this tutorial outdated and not possible to follow?
Thank you for your help in advance 