fixed issue of incorrectly initializing nodejs environment in electron renderer thread #157
other:
bumped tfjs-core version to 0.14.2
0.16.1
5 years ago
fixes:
detectSingleFace is now correctly returning face with highest score
0.16.0
5 years ago
nodejs support
other:
bumped tfjs-core version to 0.13.8
0.15.1
5 years ago
fixes:
resolved issues with missing exports
cleaned unused files from build folder
0.15.0
5 years ago
new tiny face detection model for realtime face detection
simplified and easier to use API + more utility (Composable Tasks API, FaceMatcher)
0.14.3
5 years ago
fixes:
resolved broken dependency tree in package-lock.json, which caused tfjs-core to be bundled 3 times leading to ~3x bundle size + published fixed dist
0.14.2
5 years ago
bumped tfjs-core version to 0.13.2, which comes with various performance improvements (speedup of ~2x for ssd mobilenetv1 face detector)
0.14.1
5 years ago
published commonjs and es6 builds
0.14.0
5 years ago
trained two 68 point face landmark detection models from scratch, which have higher accuracy and are much faster then previous model
furthermore the model sizes are much smaller (350kb and 80kb tiny model) compared to the old model (7MB)
0.13.0
5 years ago
major performance improvements by resizing net input canvases instead of tensors, which is much more performant and circumvents issue mentioned here
fixes:
fixed post processing of 68 point face landmarks, which caused distortion of points at axes of minor dimension
breaking changes:
removed managed flag and method from NetInput and related flag in toNetInput
NetInput inputs are now left untouched, thus NetInput.inputs has been removed, NetInput.getInput(batchIdx) should be used instead
NetInput and toNetInput do not accept tf.Tensor4D input with batchSize > 1 anymore, unstack batches instead and pass individual tensors as an array to create an equivalent batch input