History

hschlueter fe3831c5b4 Fix handling clipping in transformer renderers.

Decode-only video frames (needed when the frame at / first frame after the
clipping start is not a key frame) need to be decoded but not passed to
the frame processor chain or encoder.

The clipping start offset needs to be removed from the frame timestamps
in the passthrough and video pipelines.
There are no changes needed for this in the audio pipeline, as it doesn't
use the input timestamps -- it uses its own timestamps derived from the
buffer sizes instead.

Also add demo option to try this out.

#minor-release

PiperOrigin-RevId: 451353609

2022-05-30 16:34:38 +00:00

src

Fix handling clipping in transformer renderers.

2022-05-30 16:34:38 +00:00

BUILD.bazel

Add frame processor based on MediaPipe to demo

2022-05-09 10:56:08 +01:00

build.gradle

Add frame processor based on MediaPipe to demo

2022-05-09 10:56:08 +01:00

README.md

Add frame processor based on MediaPipe to demo

2022-05-09 10:56:08 +01:00

README.md

Transformer demo

This app demonstrates how to use the Transformer API to modify videos, for example by removing audio or video.

See the demos README for instructions on how to build and run this demo.

MediaPipe frame processing demo

Building the demo app with MediaPipe integration enabled requires some extra manual steps.

Follow the instructions to install MediaPipe.

Copy the Transformer demo's build configuration and MediaPipe graph text protocol buffer under the MediaPipe source tree. This makes it easy to build an AAR with bazel by reusing MediaPipe's workspace.

cd "<path to MediaPipe checkout>"
MEDIAPIPE_ROOT="$(pwd)"
MEDIAPIPE_TRANSFORMER_ROOT="${MEDIAPIPE_ROOT}/mediapipe/java/com/google/mediapipe/transformer"
cd "<path to the transformer demo (containing this readme)>"
TRANSFORMER_DEMO_ROOT="$(pwd)"
mkdir -p "${MEDIAPIPE_TRANSFORMER_ROOT}"
mkdir -p "${TRANSFORMER_DEMO_ROOT}/libs"
cp ${TRANSFORMER_DEMO_ROOT}/BUILD.bazel ${MEDIAPIPE_TRANSFORMER_ROOT}/BUILD
cp ${TRANSFORMER_DEMO_ROOT}/src/withMediaPipe/assets/edge_detector_mediapipe_graph.pbtxt \
  ${MEDIAPIPE_TRANSFORMER_ROOT}

Build the AAR and the binary proto for the demo's MediaPipe graph, then copy them to Transformer.

cd ${MEDIAPIPE_ROOT}
bazel build -c opt --strip=ALWAYS \
  --host_crosstool_top=@bazel_tools//tools/cpp:toolchain \
  --fat_apk_cpu=arm64-v8a,armeabi-v7a \
  --legacy_whole_archive=0 \
  --features=-legacy_whole_archive \
  --copt=-fvisibility=hidden \
  --copt=-ffunction-sections \
  --copt=-fdata-sections \
  --copt=-fstack-protector \
  --copt=-Oz \
  --copt=-fomit-frame-pointer \
  --copt=-DABSL_MIN_LOG_LEVEL=2 \
  --linkopt=-Wl,--gc-sections,--strip-all \
  mediapipe/java/com/google/mediapipe/transformer:edge_detector_mediapipe_aar.aar
cp bazel-bin/mediapipe/java/com/google/mediapipe/transformer/edge_detector_mediapipe_aar.aar \
  ${TRANSFORMER_DEMO_ROOT}/libs
bazel build mediapipe/java/com/google/mediapipe/transformer:edge_detector_binary_graph
cp bazel-bin/mediapipe/java/com/google/mediapipe/transformer/edge_detector_mediapipe_graph.binarypb \
  ${TRANSFORMER_DEMO_ROOT}/src/withMediaPipe/assets

Select the withMediaPipe build variant in Android Studio, then build and run the demo app and select a MediaPipe-based effect.