cell1.py

# Download TorchVision repo to use some files from
# references/detection
!git clone https://github.com/pytorch/vision.git
!cd vision
!git checkout v0.8.2

!cp ./vision/references/detection/utils.py ./
!cp ./vision/references/detection/transforms.py ./
!cp ./vision/references/detection/coco_eval.py ./
!cp ./vision/references/detection/engine.py ./
!cp ./vision/references/detection/coco_utils.py ./

!pip install cython
# Install pycocotools, the version by default in Colab
!pip install -U 'git+https://github.com/cocodataset/cocoapi.git#subdirectory=PythonAPI'
!pip install -U albumentations
!pip install -U opencv-python

#Copy and unify the train and validation datasets into one folder for images and another for labels
!mkdir ./train
!cp -a /kaggle/input/martianlunar-crater-detection-dataset/craters/train/images/. ./train/images/
!cp -a /kaggle/input/martianlunar-crater-detection-dataset/craters/valid/images/. ./train/images/
!cp -a /kaggle/input/martianlunar-crater-detection-dataset/craters/train/labels/. ./train/labels/
!cp -a /kaggle/input/martianlunar-crater-detection-dataset/craters/valid/labels/. ./train/labels/