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Please make sure that this is a feature request. As per our GitHub Policy, we only address code/doc bugs, performance issues, feature requests and build/installation issues on GitHub. tag:feature_template
System information
TensorFlow.js version (you are using): 4.20.0
Are you willing to contribute it (Yes/No): Yes
Describe the feature and the current behavior/state.
Currently, tf.node.image.decodeImage() supports jpeg, png, gif, and bmp. webp is not supported.
Will this change the current api? How?
Yes, tf.node.image.decodeImage() will be updated to support webp;
tf.node.image.decodeWebp() and tf.node.image.encodeWebp() can be added as well.
Who will benefit with this feature?
Users having existing dataset as webp images can load it directly without extra pre-processing, and those who want to save disk space can convert existing images into webp.
Any Other info.
The text was updated successfully, but these errors were encountered:
Please make sure that this is a feature request. As per our GitHub Policy, we only address code/doc bugs, performance issues, feature requests and build/installation issues on GitHub. tag:feature_template
System information
Describe the feature and the current behavior/state.
Currently,
tf.node.image.decodeImage()
supports jpeg, png, gif, and bmp. webp is not supported.Will this change the current api? How?
Yes,
tf.node.image.decodeImage()
will be updated to support webp;tf.node.image.decodeWebp()
andtf.node.image.encodeWebp()
can be added as well.Who will benefit with this feature?
Users having existing dataset as webp images can load it directly without extra pre-processing, and those who want to save disk space can convert existing images into webp.
Any Other info.
The text was updated successfully, but these errors were encountered: