Kaggle competition: Dogs vs. Cats Redux: Kernels Edition
Format the dataset to the architecture that fit keras
data/
train/
dogs/
dog001.jpg
dog002.jpg
...
cats/
cat001.jpg
cat002.jpg
...
validation/
dogs/
dog001.jpg
dog002.jpg
...
cats/
cat001.jpg
cat002.jpg
...
$dog_vs_cat_dataset_dir: path of train directory in the dog vs cat dataset downloaded from kaggle, after you unzip the all.zip
$target_dir: the directory where you want to put your output
python train/format_dataset.py $dog_vs_cat_dataset_dir $target_dir --val_ratio 0.1
-
train ResNet50
python train/train_resnet50.py $train_dataset_dir $validation_dataset_dir --batch_size 256 --epochs 100 --lr 0.001
-
train ResNet50 with center loss
python train/train_resnet50_with_center_loss.py $train_dataset_dir $validation_dataset_dir --batch_size 256 --epochs 100 --lr 0.001
-
train InceptionResNetV2 with center loss
python train/train_inception_resnet_v2.py $train_dataset_dir $validation_dataset_dir --batch_size 256 --epochs 100 --lr 0.001
$test_dataset_dir: path of test dataset directory of kaggle dog vs cat dataset
python train/evaluate.py weights_file_path $test_dataset_dir --out_dir $out_dir