Add ts_declaration rule for OSS
PiperOrigin-RevId: 488307893
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@ -214,10 +214,10 @@ def mediapipe_ts_library(
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"""Generate ts_project for MediaPipe open source version.
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Args:
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name: the name of the cc_proto_library.
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srcs: the .proto files of the cc_proto_library for Bazel use.
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name: the name of the mediapipe_ts_library.
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srcs: the .proto files of the mediapipe_ts_library for Bazel use.
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visibility: visibility of this target.
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deps: a list of dependency labels for Bazel use; must be cc_proto_library.
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deps: a list of dependency labels for Bazel use.
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testonly: test only or not.
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allow_unoptimized_namespaces: ignored, used only internally
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"""
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@ -235,3 +235,36 @@ def mediapipe_ts_library(
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declaration = True,
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tsconfig = "//:tsconfig.json",
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))
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def mediapipe_ts_declaration(
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name,
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srcs,
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visibility = None,
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deps = []):
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"""Generate ts_declaration for MediaPipe open source version.
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Args:
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name: the name of the mediapipe_ts_declaration.
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srcs: the .proto files of the mediapipe_ts_declaration for Bazel use.
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visibility: visibility of this target.
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deps: a list of dependency labels for Bazel use
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"""
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# Bazel does not create JS files for .d.ts files, which leads to import
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# failures in our open source build. We simply re-name the .d.ts files
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# to .ts to work around this problem.
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for src in srcs:
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native.genrule(
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name = replace_suffix(src, ".d.ts", "_d_ts"),
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srcs = [src],
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outs = [replace_suffix(src, ".d.ts", ".ts")],
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visibility = visibility,
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cmd = "cp -n $< $@;",
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)
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mediapipe_ts_library(
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name = name,
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srcs = [replace_suffix(src, ".d.ts", "_d_ts") for src in srcs],
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visibility = visibility,
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deps = deps,
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)
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@ -1,21 +1,21 @@
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# This package contains options shared by all MediaPipe Tasks for Web.
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load("//mediapipe/framework/port:build_config.bzl", "mediapipe_ts_library")
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load("//mediapipe/framework/port:build_config.bzl", "mediapipe_ts_declaration")
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package(default_visibility = ["//mediapipe/tasks:internal"])
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mediapipe_ts_library(
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mediapipe_ts_declaration(
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name = "category",
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srcs = ["category.d.ts"],
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)
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mediapipe_ts_library(
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mediapipe_ts_declaration(
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name = "classification_result",
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srcs = ["classification_result.d.ts"],
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deps = [":category"],
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)
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mediapipe_ts_library(
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mediapipe_ts_declaration(
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name = "landmark",
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srcs = ["landmark.d.ts"],
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)
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@ -18,9 +18,9 @@
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* Landmark represents a point in 3D space with x, y, z coordinates. If
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* normalized is true, the landmark coordinates is normalized respect to the
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* dimension of image, and the coordinates values are in the range of [0,1].
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* Otherwise, it represenet a point in world coordinates.
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* Otherwise, it represents a point in world coordinates.
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*/
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export declare class Landmark {
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export declare interface Landmark {
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/** The x coordinates of the landmark. */
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x: number;
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@ -1,10 +1,10 @@
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# This package contains options shared by all MediaPipe Tasks for Web.
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load("//mediapipe/framework/port:build_config.bzl", "mediapipe_ts_library")
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load("//mediapipe/framework/port:build_config.bzl", "mediapipe_ts_declaration", "mediapipe_ts_library")
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package(default_visibility = ["//mediapipe/tasks:internal"])
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mediapipe_ts_library(
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mediapipe_ts_declaration(
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name = "core",
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srcs = [
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"base_options.d.ts",
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@ -24,7 +24,7 @@ mediapipe_ts_library(
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],
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)
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mediapipe_ts_library(
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mediapipe_ts_declaration(
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name = "classifier_options",
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srcs = [
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"classifier_options.d.ts",
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@ -9,7 +9,10 @@ mediapipe_ts_library(
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srcs = ["index.ts"],
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deps = [
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"//mediapipe/tasks/web/vision/gesture_recognizer",
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"//mediapipe/tasks/web/vision/gesture_recognizer:gesture_recognizer_types",
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"//mediapipe/tasks/web/vision/image_classifier",
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"//mediapipe/tasks/web/vision/image_classifier:image_classifier_types",
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"//mediapipe/tasks/web/vision/object_detector",
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"//mediapipe/tasks/web/vision/object_detector:object_detector_types",
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],
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)
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@ -3,7 +3,7 @@
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# This task takes video frames and outputs synchronized frames along with
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# the detection results for one or more gesture categories, using Gesture Recognizer.
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load("//mediapipe/framework/port:build_config.bzl", "mediapipe_ts_library")
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load("//mediapipe/framework/port:build_config.bzl", "mediapipe_ts_declaration", "mediapipe_ts_library")
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package(default_visibility = ["//mediapipe/tasks:internal"])
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@ -11,12 +11,9 @@ licenses(["notice"])
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mediapipe_ts_library(
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name = "gesture_recognizer",
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srcs = [
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"gesture_recognizer.ts",
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"gesture_recognizer_options.ts",
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"gesture_recognizer_result.ts",
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],
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srcs = ["gesture_recognizer.ts"],
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deps = [
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":gesture_recognizer_types",
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"//mediapipe/framework:calculator_jspb_proto",
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"//mediapipe/framework:calculator_options_jspb_proto",
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"//mediapipe/framework/formats:classification_jspb_proto",
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@ -33,8 +30,21 @@ mediapipe_ts_library(
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"//mediapipe/tasks/web/components/processors:base_options",
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"//mediapipe/tasks/web/components/processors:classifier_options",
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"//mediapipe/tasks/web/core",
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"//mediapipe/tasks/web/core:classifier_options",
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"//mediapipe/tasks/web/core:task_runner",
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"//mediapipe/web/graph_runner:wasm_mediapipe_lib_ts",
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],
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)
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mediapipe_ts_declaration(
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name = "gesture_recognizer_types",
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srcs = [
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"gesture_recognizer_options.d.ts",
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"gesture_recognizer_result.d.ts",
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],
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deps = [
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"//mediapipe/tasks/web/components/containers:category",
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"//mediapipe/tasks/web/components/containers:landmark",
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"//mediapipe/tasks/web/core",
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"//mediapipe/tasks/web/core:classifier_options",
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],
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)
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@ -154,10 +154,6 @@ export class GestureRecognizer extends TaskRunner {
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this.handGestureRecognizerGraphOptions);
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this.initDefaults();
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// Disables the automatic render-to-screen code, which allows for pure
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// CPU processing.
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this.setAutoRenderToScreen(false);
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}
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/**
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@ -2,7 +2,7 @@
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#
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# This task takes video or image frames and outputs the classification result.
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load("//mediapipe/framework/port:build_config.bzl", "mediapipe_ts_library")
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load("//mediapipe/framework/port:build_config.bzl", "mediapipe_ts_declaration", "mediapipe_ts_library")
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package(default_visibility = ["//mediapipe/tasks:internal"])
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@ -12,22 +12,31 @@ mediapipe_ts_library(
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name = "image_classifier",
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srcs = [
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"image_classifier.ts",
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"image_classifier_options.ts",
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"image_classifier_result.ts",
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],
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deps = [
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":image_classifier_types",
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"//mediapipe/framework:calculator_jspb_proto",
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"//mediapipe/framework:calculator_options_jspb_proto",
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"//mediapipe/tasks/cc/components/containers/proto:classifications_jspb_proto",
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"//mediapipe/tasks/cc/vision/image_classifier/proto:image_classifier_graph_options_jspb_proto",
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"//mediapipe/tasks/web/components/containers:category",
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"//mediapipe/tasks/web/components/containers:classification_result",
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"//mediapipe/tasks/web/components/processors:base_options",
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"//mediapipe/tasks/web/components/processors:classifier_options",
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"//mediapipe/tasks/web/components/processors:classifier_result",
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"//mediapipe/tasks/web/core",
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"//mediapipe/tasks/web/core:classifier_options",
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"//mediapipe/tasks/web/core:task_runner",
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"//mediapipe/web/graph_runner:wasm_mediapipe_lib_ts",
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],
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)
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mediapipe_ts_declaration(
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name = "image_classifier_types",
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srcs = [
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"image_classifier_options.d.ts",
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"image_classifier_result.d.ts",
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],
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deps = [
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"//mediapipe/tasks/web/components/containers:category",
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"//mediapipe/tasks/web/components/containers:classification_result",
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"//mediapipe/tasks/web/core:classifier_options",
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],
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)
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@ -3,7 +3,7 @@
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# This task takes video frames and outputs synchronized frames along with
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# the detection results for one or more object categories, using Object Detector.
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load("//mediapipe/framework/port:build_config.bzl", "mediapipe_ts_library")
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load("//mediapipe/framework/port:build_config.bzl", "mediapipe_ts_declaration", "mediapipe_ts_library")
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package(default_visibility = ["//mediapipe/tasks:internal"])
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@ -13,18 +13,28 @@ mediapipe_ts_library(
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name = "object_detector",
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srcs = [
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"object_detector.ts",
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"object_detector_options.ts",
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"object_detector_result.ts",
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],
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deps = [
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":object_detector_types",
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"//mediapipe/framework:calculator_jspb_proto",
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"//mediapipe/framework:calculator_options_jspb_proto",
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"//mediapipe/framework/formats:detection_jspb_proto",
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"//mediapipe/tasks/cc/vision/object_detector/proto:object_detector_options_jspb_proto",
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"//mediapipe/tasks/web/components/containers:category",
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"//mediapipe/tasks/web/components/processors:base_options",
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"//mediapipe/tasks/web/core",
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"//mediapipe/tasks/web/core:task_runner",
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"//mediapipe/web/graph_runner:wasm_mediapipe_lib_ts",
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],
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)
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mediapipe_ts_declaration(
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name = "object_detector_types",
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srcs = [
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"object_detector_options.d.ts",
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"object_detector_result.d.ts",
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],
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deps = [
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"//mediapipe/tasks/web/components/containers:category",
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"//mediapipe/tasks/web/core",
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],
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)
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@ -17,7 +17,7 @@
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import {BaseOptions} from '../../../../tasks/web/core/base_options';
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/** Options to configure the MediaPipe Object Detector Task */
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export interface ObjectDetectorOptions {
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export declare interface ObjectDetectorOptions {
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/** Options to configure the loading of the model assets. */
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baseOptions?: BaseOptions;
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