Chris Riley ce2d7b8efc Update pipeline.cc
In the upgrade to nan v2 that was part of v0.11.2 the baton values for blurSigma, sharpenFlat, and sharpenJagged were being cast to int32_t causing blur(sigma) and sharpen(radius, flat, jagged) to fail with "parameters out of range". This patch casts these baton values to doubles.
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sharp

The typical use case for this high speed Node.js module is to convert large images of many formats to smaller, web-friendly JPEG, PNG and WebP images of varying dimensions.

Test Coverage

Documentation

Visit sharp.dimens.io for complete installation instructions, API documentation, benchmark tests and a changelog.

Contributing

A guide for contributors covers reporting bugs, requesting features and submitting code changes.

Licence

Copyright 2013, 2014, 2015 Lovell Fuller and contributors.

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

Description
High performance Node.js image processing, the fastest module to resize JPEG, PNG, WebP, AVIF and TIFF images. Uses the libvips library.
Readme Apache-2.0 86 MiB
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