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@@ -21,7 +21,7 @@ Try the interpolation model with the replicate web demo at | |
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Try FILM to interpolate between two or more images with the PyTTI-Tools at [![PyTTI-Tools:FILM](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.sandbox.google.com/github/pytti-tools/frame-interpolation/blob/main/PyTTI_Tools_FiLM-colab.ipynb#scrollTo=-7TD7YZJbsy_) | ||
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An alternative Colab for running FILM on arbitrarily more images, rather than two, [![FILM-Gdrive](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1NuaPPSvUhYafymUf2mEkvhnEtpD5oihs) | ||
An alternative Colab for running FILM on arbitrarily more input images, not just on two images, [![FILM-Gdrive](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1NuaPPSvUhYafymUf2mEkvhnEtpD5oihs) | ||
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## Change Log | ||
* **Nov 28, 2022**: Upgrade `eval.interpolator_cli` for **high resolution frame interpolation**. `--block_height` and `--block_width` determine the total number of patches (`block_height*block_width`) to subdivide the input images. By default, both arguments are set to 1, and so no subdivision will be done. | ||
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``` | ||
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* By default, a SavedModel is created when the training loop ends, and it will be saved at | ||
`<base_folder>/<label>/<saved_model>`. | ||
`<base_folder>/<label>/saved_model`. | ||
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## Evaluation on Benchmarks | ||
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howpublished = {\url{https://github.com/google-research/frame-interpolation}} | ||
} | ||
``` | ||
Contact: Fitsum Reda ([email protected]) | ||
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## Acknowledgments | ||
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I have been trying to do this FILM, and I get a simple error like this, and the link doesn't seem to be leading to anywhere.
Could you provide me the correct link?
Thanks.
Access denied with the following error:
You may still be able to access the file from the browser:
unzip: cannot find or open pretrained_models-20220214T214839Z-001.zip, pretrained_models-20220214T214839Z-001.zip.zip or pretrained_models-20220214T214839Z-001.zip.ZIP.