WandererGuy/finetune-resnet

install latest torch (currently 12.6)

pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu126

install ultralytics for the cuda-toolkits, to enable using cuda

pip install ultralytics

usage

training a resnet-18 model on classification task given a folder ./dataset and file ./class.yaml the workflows sequentially balance datastet -> augment dataset -> split into train/val/test -> train resnet on train dataset -> inference on 1 image

prepare

folder ./dataset has structure like

dataset/
├── class_1/
│   ├── image_1.jpg
│   ├── imgae_2.jpg
├── class_2/
│   ├── image_1.jpg
│   ├── imgae_2.jpg
└── class_3/
...

in ./class.yaml, replace classes with your own classes name

running

0. create a more balance dataset , with each class have number of samples equals to the total_samples/number_of_classes, sample from each class are collected randomly

python 0_balance.py

1. augment dataset

python 1_augment.py

2. split dataset

python 2_split_dataset.py

3. train resnet18 model

python 3_train.py

4. inference on 1 image

python 4_infer.py --image_path <path_image>