SwinTransformer
SWIN Transformer in TensorFlow 2.x
Size free for inputs to support tasks like Image Segmentation
Weights
All weights below are fully tested.
Name | links |
---|---|
Swin Large 384 | weiyun |
Swin Base 384 | weiyun |
Swin Tiny 224 | weiyun |
Usage
def load_h5_weight (model, path, skip_mismatch = False):
with h5py.File(path, 'r') as f:
if 'layer_names' not in f.attrs and 'model_weights' in f:
f = f['model_weights']
layers = get_all_layers(model)
load_weights_from_hdf5_group_by_name(f, model.layers, skip_mismatch = skip_mismatch)