Delete BiRefNet-massive-epoch_300.pth

Upload BiRefNet-massive-epoch_300.pth

Use new BiRefNet with massive training and IoU fine-tuning.

Update example images.

Update example images.

Set presion of torch to high for consistency with training and faster inference.

Update the model codes, including the previous inconsistencies.

Update the model codes, including the previous inconsistencies.

Delete BiRefNet_ep580.pth

Delete BiRefNet-DIS-epoch_540.pth

Update the weights to the one for general use with massive training.

Upload BiRefNet-massive-epoch_240.pth

Upload BiRefNet-DIS-epoch_540.pth

Fix app.py (#2)

Make the comparison effect of the results more obvious (#3)

ZeroGPU and ImageSlider (#1)

Specify the versions of packages.

Update the approximated time cost from 500s to 40s. The long time cost may be caused by the unnecessary part of our_ref in inference.

Remove redundant part of our_ref in inference.

Adapt the resize to cv2 version to keep consistent with that used in training.

Update the well-trained weights.

Add the link to my github repo.

Add the resolution value for examples.

Add option for resolution in text box to do worse but faster prediction.

Add option for resolution in text box to do worse but faster prediction.

Upload only resized pictures to accelerate deployment on HF.

Upload only resized pictures to accelerate deployment on HF.

Remove some example pictures to accelerate deployment on HF.

Initialization on my BiRefNet online demo.

Initialization on my BiRefNet online demo.

initial commit