Merge pull request #5010 from kinaryml:c-hand-landmarker-api

PiperOrigin-RevId: 588900627
This commit is contained in:
Copybara-Service 2023-12-07 13:58:10 -08:00
commit faae68e81d
11 changed files with 1173 additions and 1 deletions

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@ -17,6 +17,7 @@ package(default_visibility = ["//mediapipe/tasks:internal"])
licenses(["notice"]) licenses(["notice"])
VISION_LIBRARIES = [ VISION_LIBRARIES = [
"//mediapipe/tasks/c/vision/hand_landmarker:hand_landmarker_lib",
"//mediapipe/tasks/c/vision/image_classifier:image_classifier_lib", "//mediapipe/tasks/c/vision/image_classifier:image_classifier_lib",
"//mediapipe/tasks/c/vision/image_embedder:image_embedder_lib", "//mediapipe/tasks/c/vision/image_embedder:image_embedder_lib",
"//mediapipe/tasks/c/vision/object_detector:object_detector_lib", "//mediapipe/tasks/c/vision/object_detector:object_detector_lib",

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@ -228,7 +228,7 @@ int CppGestureRecognizerRecognizeAsync(void* recognizer, const MpImage& image,
auto cpp_recognizer = static_cast<GestureRecognizer*>(recognizer); auto cpp_recognizer = static_cast<GestureRecognizer*>(recognizer);
auto cpp_result = cpp_recognizer->RecognizeAsync(*img, timestamp_ms); auto cpp_result = cpp_recognizer->RecognizeAsync(*img, timestamp_ms);
if (!cpp_result.ok()) { if (!cpp_result.ok()) {
ABSL_LOG(ERROR) << "Data preparation for the image classification failed: " ABSL_LOG(ERROR) << "Data preparation for the gesture recognition failed: "
<< cpp_result; << cpp_result;
return CppProcessError(cpp_result, error_msg); return CppProcessError(cpp_result, error_msg);
} }

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@ -95,6 +95,22 @@ TEST(GestureRecognizerResultConverterTest, ConvertsCustomResult) {
} }
} }
// Verify conversion of handedness
EXPECT_NE(c_result.handedness, nullptr);
EXPECT_EQ(c_result.handedness_count, cpp_result.handedness.size());
for (uint32_t i = 0; i < c_result.handedness_count; ++i) {
EXPECT_EQ(c_result.handedness[i].categories_count,
cpp_result.handedness[i].classification_size());
for (uint32_t j = 0; j < c_result.handedness[i].categories_count; ++j) {
auto handedness = cpp_result.handedness[i].classification(j);
EXPECT_EQ(std::string(c_result.handedness[i].categories[j].category_name),
handedness.label());
EXPECT_FLOAT_EQ(c_result.handedness[i].categories[j].score,
handedness.score());
}
}
// Verify conversion of hand_landmarks // Verify conversion of hand_landmarks
EXPECT_NE(c_result.hand_landmarks, nullptr); EXPECT_NE(c_result.hand_landmarks, nullptr);
EXPECT_EQ(c_result.hand_landmarks_count, cpp_result.hand_landmarks.size()); EXPECT_EQ(c_result.hand_landmarks_count, cpp_result.hand_landmarks.size());

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@ -0,0 +1,144 @@
# Copyright 2023 The MediaPipe Authors.
#
# 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.
package(default_visibility = ["//mediapipe/tasks:internal"])
licenses(["notice"])
cc_library(
name = "hand_landmarker_result",
hdrs = ["hand_landmarker_result.h"],
visibility = ["//visibility:public"],
deps = [
"//mediapipe/tasks/c/components/containers:category",
"//mediapipe/tasks/c/components/containers:landmark",
],
)
cc_library(
name = "hand_landmarker_result_converter",
srcs = ["hand_landmarker_result_converter.cc"],
hdrs = ["hand_landmarker_result_converter.h"],
deps = [
":hand_landmarker_result",
"//mediapipe/tasks/c/components/containers:category",
"//mediapipe/tasks/c/components/containers:category_converter",
"//mediapipe/tasks/c/components/containers:landmark",
"//mediapipe/tasks/c/components/containers:landmark_converter",
"//mediapipe/tasks/cc/components/containers:category",
"//mediapipe/tasks/cc/components/containers:landmark",
"//mediapipe/tasks/cc/vision/hand_landmarker:hand_landmarker_result",
],
)
cc_test(
name = "hand_landmarker_result_converter_test",
srcs = ["hand_landmarker_result_converter_test.cc"],
linkstatic = 1,
deps = [
":hand_landmarker_result",
":hand_landmarker_result_converter",
"//mediapipe/framework/port:gtest",
"//mediapipe/tasks/c/components/containers:landmark",
"//mediapipe/tasks/cc/components/containers:category",
"//mediapipe/tasks/cc/components/containers:classification_result",
"//mediapipe/tasks/cc/components/containers:landmark",
"//mediapipe/tasks/cc/vision/hand_landmarker:hand_landmarker_result",
"@com_google_googletest//:gtest_main",
],
)
cc_library(
name = "hand_landmarker_lib",
srcs = ["hand_landmarker.cc"],
hdrs = ["hand_landmarker.h"],
visibility = ["//visibility:public"],
deps = [
":hand_landmarker_result",
":hand_landmarker_result_converter",
"//mediapipe/framework/formats:image",
"//mediapipe/framework/formats:image_frame",
"//mediapipe/tasks/c/core:base_options",
"//mediapipe/tasks/c/core:base_options_converter",
"//mediapipe/tasks/c/vision/core:common",
"//mediapipe/tasks/cc/vision/core:running_mode",
"//mediapipe/tasks/cc/vision/hand_landmarker",
"//mediapipe/tasks/cc/vision/hand_landmarker:hand_landmarker_result",
"//mediapipe/tasks/cc/vision/utils:image_utils",
"@com_google_absl//absl/log:absl_log",
"@com_google_absl//absl/status",
"@com_google_absl//absl/status:statusor",
],
alwayslink = 1,
)
cc_test(
name = "hand_landmarker_test",
srcs = ["hand_landmarker_test.cc"],
data = [
"//mediapipe/framework/formats:image_frame_opencv",
"//mediapipe/framework/port:opencv_core",
"//mediapipe/framework/port:opencv_imgproc",
"//mediapipe/tasks/testdata/vision:test_images",
"//mediapipe/tasks/testdata/vision:test_models",
],
linkstatic = 1,
deps = [
":hand_landmarker_lib",
":hand_landmarker_result",
"//mediapipe/framework/deps:file_path",
"//mediapipe/framework/formats:image",
"//mediapipe/framework/port:gtest",
"//mediapipe/tasks/c/components/containers:landmark",
"//mediapipe/tasks/c/vision/core:common",
"//mediapipe/tasks/cc/vision/utils:image_utils",
"@com_google_absl//absl/flags:flag",
"@com_google_absl//absl/strings",
"@com_google_googletest//:gtest_main",
],
)
# bazel build -c opt --linkopt -s --strip always --define MEDIAPIPE_DISABLE_GPU=1 \
# //mediapipe/tasks/c/vision/hand_landmarker:libhand_landmarker.so
cc_binary(
name = "libhand_landmarker.so",
linkopts = [
"-Wl,-soname=libhand_landmarker.so",
"-fvisibility=hidden",
],
linkshared = True,
tags = [
"manual",
"nobuilder",
"notap",
],
deps = [":hand_landmarker_lib"],
)
# bazel build --config darwin_arm64 -c opt --strip always --define MEDIAPIPE_DISABLE_GPU=1 \
# //mediapipe/tasks/c/vision/hand_landmarker:libhand_landmarker.dylib
cc_binary(
name = "libhand_landmarker.dylib",
linkopts = [
"-Wl,-install_name,libhand_landmarker.dylib",
"-fvisibility=hidden",
],
linkshared = True,
tags = [
"manual",
"nobuilder",
"notap",
],
deps = [":hand_landmarker_lib"],
)

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@ -0,0 +1,284 @@
/* Copyright 2023 The MediaPipe Authors.
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.
==============================================================================*/
#include "mediapipe/tasks/c/vision/hand_landmarker/hand_landmarker.h"
#include <cstdint>
#include <cstdlib>
#include <memory>
#include <utility>
#include "absl/log/absl_log.h"
#include "absl/status/status.h"
#include "absl/status/statusor.h"
#include "mediapipe/framework/formats/image.h"
#include "mediapipe/framework/formats/image_frame.h"
#include "mediapipe/tasks/c/core/base_options_converter.h"
#include "mediapipe/tasks/c/vision/core/common.h"
#include "mediapipe/tasks/c/vision/hand_landmarker/hand_landmarker_result.h"
#include "mediapipe/tasks/c/vision/hand_landmarker/hand_landmarker_result_converter.h"
#include "mediapipe/tasks/cc/vision/core/running_mode.h"
#include "mediapipe/tasks/cc/vision/hand_landmarker/hand_landmarker.h"
#include "mediapipe/tasks/cc/vision/hand_landmarker/hand_landmarker_result.h"
#include "mediapipe/tasks/cc/vision/utils/image_utils.h"
namespace mediapipe::tasks::c::vision::hand_landmarker {
namespace {
using ::mediapipe::tasks::c::components::containers::
CppCloseHandLandmarkerResult;
using ::mediapipe::tasks::c::components::containers::
CppConvertToHandLandmarkerResult;
using ::mediapipe::tasks::c::core::CppConvertToBaseOptions;
using ::mediapipe::tasks::vision::CreateImageFromBuffer;
using ::mediapipe::tasks::vision::core::RunningMode;
using ::mediapipe::tasks::vision::hand_landmarker::HandLandmarker;
typedef ::mediapipe::tasks::vision::hand_landmarker::HandLandmarkerResult
CppHandLandmarkerResult;
int CppProcessError(absl::Status status, char** error_msg) {
if (error_msg) {
*error_msg = strdup(status.ToString().c_str());
}
return status.raw_code();
}
} // namespace
void CppConvertToHandLandmarkerOptions(
const HandLandmarkerOptions& in,
mediapipe::tasks::vision::hand_landmarker::HandLandmarkerOptions* out) {
out->num_hands = in.num_hands;
out->min_hand_detection_confidence = in.min_hand_detection_confidence;
out->min_hand_presence_confidence = in.min_hand_presence_confidence;
out->min_tracking_confidence = in.min_tracking_confidence;
}
HandLandmarker* CppHandLandmarkerCreate(const HandLandmarkerOptions& options,
char** error_msg) {
auto cpp_options = std::make_unique<
::mediapipe::tasks::vision::hand_landmarker::HandLandmarkerOptions>();
CppConvertToBaseOptions(options.base_options, &cpp_options->base_options);
CppConvertToHandLandmarkerOptions(options, cpp_options.get());
cpp_options->running_mode = static_cast<RunningMode>(options.running_mode);
// Enable callback for processing live stream data when the running mode is
// set to RunningMode::LIVE_STREAM.
if (cpp_options->running_mode == RunningMode::LIVE_STREAM) {
if (options.result_callback == nullptr) {
const absl::Status status = absl::InvalidArgumentError(
"Provided null pointer to callback function.");
ABSL_LOG(ERROR) << "Failed to create HandLandmarker: " << status;
CppProcessError(status, error_msg);
return nullptr;
}
HandLandmarkerOptions::result_callback_fn result_callback =
options.result_callback;
cpp_options->result_callback =
[result_callback](absl::StatusOr<CppHandLandmarkerResult> cpp_result,
const Image& image, int64_t timestamp) {
char* error_msg = nullptr;
if (!cpp_result.ok()) {
ABSL_LOG(ERROR) << "Recognition failed: " << cpp_result.status();
CppProcessError(cpp_result.status(), &error_msg);
result_callback(nullptr, MpImage(), timestamp, error_msg);
free(error_msg);
return;
}
// Result is valid for the lifetime of the callback function.
HandLandmarkerResult result;
CppConvertToHandLandmarkerResult(*cpp_result, &result);
const auto& image_frame = image.GetImageFrameSharedPtr();
const MpImage mp_image = {
.type = MpImage::IMAGE_FRAME,
.image_frame = {
.format = static_cast<::ImageFormat>(image_frame->Format()),
.image_buffer = image_frame->PixelData(),
.width = image_frame->Width(),
.height = image_frame->Height()}};
result_callback(&result, mp_image, timestamp,
/* error_msg= */ nullptr);
CppCloseHandLandmarkerResult(&result);
};
}
auto landmarker = HandLandmarker::Create(std::move(cpp_options));
if (!landmarker.ok()) {
ABSL_LOG(ERROR) << "Failed to create HandLandmarker: "
<< landmarker.status();
CppProcessError(landmarker.status(), error_msg);
return nullptr;
}
return landmarker->release();
}
int CppHandLandmarkerDetect(void* landmarker, const MpImage& image,
HandLandmarkerResult* result, char** error_msg) {
if (image.type == MpImage::GPU_BUFFER) {
const absl::Status status =
absl::InvalidArgumentError("GPU Buffer not supported yet.");
ABSL_LOG(ERROR) << "Recognition failed: " << status.message();
return CppProcessError(status, error_msg);
}
const auto img = CreateImageFromBuffer(
static_cast<ImageFormat::Format>(image.image_frame.format),
image.image_frame.image_buffer, image.image_frame.width,
image.image_frame.height);
if (!img.ok()) {
ABSL_LOG(ERROR) << "Failed to create Image: " << img.status();
return CppProcessError(img.status(), error_msg);
}
auto cpp_landmarker = static_cast<HandLandmarker*>(landmarker);
auto cpp_result = cpp_landmarker->Detect(*img);
if (!cpp_result.ok()) {
ABSL_LOG(ERROR) << "Recognition failed: " << cpp_result.status();
return CppProcessError(cpp_result.status(), error_msg);
}
CppConvertToHandLandmarkerResult(*cpp_result, result);
return 0;
}
int CppHandLandmarkerDetectForVideo(void* landmarker, const MpImage& image,
int64_t timestamp_ms,
HandLandmarkerResult* result,
char** error_msg) {
if (image.type == MpImage::GPU_BUFFER) {
absl::Status status =
absl::InvalidArgumentError("GPU Buffer not supported yet");
ABSL_LOG(ERROR) << "Recognition failed: " << status.message();
return CppProcessError(status, error_msg);
}
const auto img = CreateImageFromBuffer(
static_cast<ImageFormat::Format>(image.image_frame.format),
image.image_frame.image_buffer, image.image_frame.width,
image.image_frame.height);
if (!img.ok()) {
ABSL_LOG(ERROR) << "Failed to create Image: " << img.status();
return CppProcessError(img.status(), error_msg);
}
auto cpp_landmarker = static_cast<HandLandmarker*>(landmarker);
auto cpp_result = cpp_landmarker->DetectForVideo(*img, timestamp_ms);
if (!cpp_result.ok()) {
ABSL_LOG(ERROR) << "Recognition failed: " << cpp_result.status();
return CppProcessError(cpp_result.status(), error_msg);
}
CppConvertToHandLandmarkerResult(*cpp_result, result);
return 0;
}
int CppHandLandmarkerDetectAsync(void* landmarker, const MpImage& image,
int64_t timestamp_ms, char** error_msg) {
if (image.type == MpImage::GPU_BUFFER) {
absl::Status status =
absl::InvalidArgumentError("GPU Buffer not supported yet");
ABSL_LOG(ERROR) << "Recognition failed: " << status.message();
return CppProcessError(status, error_msg);
}
const auto img = CreateImageFromBuffer(
static_cast<ImageFormat::Format>(image.image_frame.format),
image.image_frame.image_buffer, image.image_frame.width,
image.image_frame.height);
if (!img.ok()) {
ABSL_LOG(ERROR) << "Failed to create Image: " << img.status();
return CppProcessError(img.status(), error_msg);
}
auto cpp_landmarker = static_cast<HandLandmarker*>(landmarker);
auto cpp_result = cpp_landmarker->DetectAsync(*img, timestamp_ms);
if (!cpp_result.ok()) {
ABSL_LOG(ERROR) << "Data preparation for the landmark detection failed: "
<< cpp_result;
return CppProcessError(cpp_result, error_msg);
}
return 0;
}
void CppHandLandmarkerCloseResult(HandLandmarkerResult* result) {
CppCloseHandLandmarkerResult(result);
}
int CppHandLandmarkerClose(void* landmarker, char** error_msg) {
auto cpp_landmarker = static_cast<HandLandmarker*>(landmarker);
auto result = cpp_landmarker->Close();
if (!result.ok()) {
ABSL_LOG(ERROR) << "Failed to close HandLandmarker: " << result;
return CppProcessError(result, error_msg);
}
delete cpp_landmarker;
return 0;
}
} // namespace mediapipe::tasks::c::vision::hand_landmarker
extern "C" {
void* hand_landmarker_create(struct HandLandmarkerOptions* options,
char** error_msg) {
return mediapipe::tasks::c::vision::hand_landmarker::CppHandLandmarkerCreate(
*options, error_msg);
}
int hand_landmarker_detect_image(void* landmarker, const MpImage& image,
HandLandmarkerResult* result,
char** error_msg) {
return mediapipe::tasks::c::vision::hand_landmarker::CppHandLandmarkerDetect(
landmarker, image, result, error_msg);
}
int hand_landmarker_detect_for_video(void* landmarker, const MpImage& image,
int64_t timestamp_ms,
HandLandmarkerResult* result,
char** error_msg) {
return mediapipe::tasks::c::vision::hand_landmarker::
CppHandLandmarkerDetectForVideo(landmarker, image, timestamp_ms, result,
error_msg);
}
int hand_landmarker_detect_async(void* landmarker, const MpImage& image,
int64_t timestamp_ms, char** error_msg) {
return mediapipe::tasks::c::vision::hand_landmarker::
CppHandLandmarkerDetectAsync(landmarker, image, timestamp_ms, error_msg);
}
void hand_landmarker_close_result(HandLandmarkerResult* result) {
mediapipe::tasks::c::vision::hand_landmarker::CppHandLandmarkerCloseResult(
result);
}
int hand_landmarker_close(void* landmarker, char** error_ms) {
return mediapipe::tasks::c::vision::hand_landmarker::CppHandLandmarkerClose(
landmarker, error_ms);
}
} // extern "C"

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@ -0,0 +1,146 @@
/* Copyright 2023 The MediaPipe Authors.
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.
==============================================================================*/
#ifndef MEDIAPIPE_TASKS_C_VISION_HAND_LANDMARKER_HAND_LANDMARKER_H_
#define MEDIAPIPE_TASKS_C_VISION_HAND_LANDMARKER_HAND_LANDMARKER_H_
#include "mediapipe/tasks/c/core/base_options.h"
#include "mediapipe/tasks/c/vision/core/common.h"
#include "mediapipe/tasks/c/vision/hand_landmarker/hand_landmarker_result.h"
#ifndef MP_EXPORT
#define MP_EXPORT __attribute__((visibility("default")))
#endif // MP_EXPORT
#ifdef __cplusplus
extern "C" {
#endif
// The options for configuring a MediaPipe hand landmarker task.
struct HandLandmarkerOptions {
// Base options for configuring MediaPipe Tasks, such as specifying the model
// file with metadata, accelerator options, op resolver, etc.
struct BaseOptions base_options;
// The running mode of the task. Default to the image mode.
// HandLandmarker has three running modes:
// 1) The image mode for recognizing hand landmarks on single image inputs.
// 2) The video mode for recognizing hand landmarks on the decoded frames of a
// video.
// 3) The live stream mode for recognizing hand landmarks on the live stream
// of input data, such as from camera. In this mode, the "result_callback"
// below must be specified to receive the detection results asynchronously.
RunningMode running_mode;
// The maximum number of hands can be detected by the HandLandmarker.
int num_hands = 1;
// The minimum confidence score for the hand detection to be considered
// successful.
float min_hand_detection_confidence = 0.5;
// The minimum confidence score of hand presence score in the hand landmark
// detection.
float min_hand_presence_confidence = 0.5;
// The minimum confidence score for the hand tracking to be considered
// successful.
float min_tracking_confidence = 0.5;
// The user-defined result callback for processing live stream data.
// The result callback should only be specified when the running mode is set
// to RunningMode::LIVE_STREAM. Arguments of the callback function include:
// the pointer to recognition result, the image that result was obtained
// on, the timestamp relevant to recognition results and pointer to error
// message in case of any failure. The validity of the passed arguments is
// true for the lifetime of the callback function.
//
// A caller is responsible for closing hand landmarker result.
typedef void (*result_callback_fn)(HandLandmarkerResult* result,
const MpImage& image, int64_t timestamp_ms,
char* error_msg);
result_callback_fn result_callback;
};
// Creates an HandLandmarker from the provided `options`.
// Returns a pointer to the hand landmarker on success.
// If an error occurs, returns `nullptr` and sets the error parameter to an
// an error message (if `error_msg` is not `nullptr`). You must free the memory
// allocated for the error message.
MP_EXPORT void* hand_landmarker_create(struct HandLandmarkerOptions* options,
char** error_msg);
// Performs hand landmark detection on the input `image`. Returns `0` on
// success. If an error occurs, returns an error code and sets the error
// parameter to an an error message (if `error_msg` is not `nullptr`). You must
// free the memory allocated for the error message.
MP_EXPORT int hand_landmarker_detect_image(void* landmarker,
const MpImage& image,
HandLandmarkerResult* result,
char** error_msg);
// Performs hand landmark detection on the provided video frame.
// Only use this method when the HandLandmarker is created with the video
// running mode.
// The image can be of any size with format RGB or RGBA. It's required to
// provide the video frame's timestamp (in milliseconds). The input timestamps
// must be monotonically increasing.
// If an error occurs, returns an error code and sets the error parameter to an
// an error message (if `error_msg` is not `nullptr`). You must free the memory
// allocated for the error message.
MP_EXPORT int hand_landmarker_detect_for_video(void* landmarker,
const MpImage& image,
int64_t timestamp_ms,
HandLandmarkerResult* result,
char** error_msg);
// Sends live image data to hand landmark detection, and the results will be
// available via the `result_callback` provided in the HandLandmarkerOptions.
// Only use this method when the HandLandmarker is created with the live
// stream running mode.
// The image can be of any size with format RGB or RGBA. It's required to
// provide a timestamp (in milliseconds) to indicate when the input image is
// sent to the hand landmarker. The input timestamps must be monotonically
// increasing.
// The `result_callback` provides:
// - The recognition results as an HandLandmarkerResult object.
// - The const reference to the corresponding input image that the hand
// landmarker runs on. Note that the const reference to the image will no
// longer be valid when the callback returns. To access the image data
// outside of the callback, callers need to make a copy of the image.
// - The input timestamp in milliseconds.
// If an error occurs, returns an error code and sets the error parameter to an
// an error message (if `error_msg` is not `nullptr`). You must free the memory
// allocated for the error message.
MP_EXPORT int hand_landmarker_detect_async(void* landmarker,
const MpImage& image,
int64_t timestamp_ms,
char** error_msg);
// Frees the memory allocated inside a HandLandmarkerResult result.
// Does not free the result pointer itself.
MP_EXPORT void hand_landmarker_close_result(HandLandmarkerResult* result);
// Frees hand landmarker.
// If an error occurs, returns an error code and sets the error parameter to an
// an error message (if `error_msg` is not `nullptr`). You must free the memory
// allocated for the error message.
MP_EXPORT int hand_landmarker_close(void* landmarker, char** error_msg);
#ifdef __cplusplus
} // extern C
#endif
#endif // MEDIAPIPE_TASKS_C_VISION_HAND_LANDMARKER_HAND_LANDMARKER_H_

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/* Copyright 2023 The MediaPipe Authors.
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.
==============================================================================*/
#ifndef MEDIAPIPE_TASKS_C_VISION_HAND_LANDMARKER_RESULT_HAND_LANDMARKER_RESULT_H_
#define MEDIAPIPE_TASKS_C_VISION_HAND_LANDMARKER_RESULT_HAND_LANDMARKER_RESULT_H_
#include <cstdint>
#include "mediapipe/tasks/c/components/containers/category.h"
#include "mediapipe/tasks/c/components/containers/landmark.h"
#ifndef MP_EXPORT
#define MP_EXPORT __attribute__((visibility("default")))
#endif // MP_EXPORT
#ifdef __cplusplus
extern "C" {
#endif
// The hand landmarker result from HandLandmarker, where each vector
// element represents a single hand detected in the image.
struct HandLandmarkerResult {
// Classification of handedness.
struct Categories* handedness;
// The number of elements in the handedness array.
uint32_t handedness_count;
// Detected hand landmarks in normalized image coordinates.
struct NormalizedLandmarks* hand_landmarks;
// The number of elements in the hand_landmarks array.
uint32_t hand_landmarks_count;
// Detected hand landmarks in world coordinates.
struct Landmarks* hand_world_landmarks;
// The number of elements in the hand_world_landmarks array.
uint32_t hand_world_landmarks_count;
};
#ifdef __cplusplus
} // extern C
#endif
#endif // MEDIAPIPE_TASKS_C_VISION_HAND_LANDMARKER_RESULT_HAND_LANDMARKER_RESULT_H_

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/* Copyright 2023 The MediaPipe Authors.
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.
==============================================================================*/
#include "mediapipe/tasks/c/vision/hand_landmarker/hand_landmarker_result_converter.h"
#include <cstdint>
#include <vector>
#include "mediapipe/tasks/c/components/containers/category.h"
#include "mediapipe/tasks/c/components/containers/category_converter.h"
#include "mediapipe/tasks/c/components/containers/landmark.h"
#include "mediapipe/tasks/c/components/containers/landmark_converter.h"
#include "mediapipe/tasks/c/vision/hand_landmarker/hand_landmarker_result.h"
#include "mediapipe/tasks/cc/components/containers/category.h"
#include "mediapipe/tasks/cc/components/containers/landmark.h"
#include "mediapipe/tasks/cc/vision/hand_landmarker/hand_landmarker_result.h"
namespace mediapipe::tasks::c::components::containers {
using CppCategory = ::mediapipe::tasks::components::containers::Category;
using CppLandmark = ::mediapipe::tasks::components::containers::Landmark;
using CppNormalizedLandmark =
::mediapipe::tasks::components::containers::NormalizedLandmark;
void CppConvertToHandLandmarkerResult(
const mediapipe::tasks::vision::hand_landmarker::HandLandmarkerResult& in,
HandLandmarkerResult* out) {
out->handedness_count = in.handedness.size();
out->handedness = new Categories[out->handedness_count];
for (uint32_t i = 0; i < out->handedness_count; ++i) {
uint32_t categories_count = in.handedness[i].categories.size();
out->handedness[i].categories_count = categories_count;
out->handedness[i].categories = new Category[categories_count];
for (uint32_t j = 0; j < categories_count; ++j) {
const auto& cpp_category = in.handedness[i].categories[j];
CppConvertToCategory(cpp_category, &out->handedness[i].categories[j]);
}
}
out->hand_landmarks_count = in.hand_landmarks.size();
out->hand_landmarks = new NormalizedLandmarks[out->hand_landmarks_count];
for (uint32_t i = 0; i < out->hand_landmarks_count; ++i) {
std::vector<CppNormalizedLandmark> cpp_normalized_landmarks;
for (uint32_t j = 0; j < in.hand_landmarks[i].landmarks.size(); ++j) {
const auto& cpp_landmark = in.hand_landmarks[i].landmarks[j];
cpp_normalized_landmarks.push_back(cpp_landmark);
}
CppConvertToNormalizedLandmarks(cpp_normalized_landmarks,
&out->hand_landmarks[i]);
}
out->hand_world_landmarks_count = in.hand_world_landmarks.size();
out->hand_world_landmarks = new Landmarks[out->hand_world_landmarks_count];
for (uint32_t i = 0; i < out->hand_world_landmarks_count; ++i) {
std::vector<CppLandmark> cpp_landmarks;
for (uint32_t j = 0; j < in.hand_world_landmarks[i].landmarks.size(); ++j) {
const auto& cpp_landmark = in.hand_world_landmarks[i].landmarks[j];
cpp_landmarks.push_back(cpp_landmark);
}
CppConvertToLandmarks(cpp_landmarks, &out->hand_world_landmarks[i]);
}
}
void CppCloseHandLandmarkerResult(HandLandmarkerResult* result) {
for (uint32_t i = 0; i < result->handedness_count; ++i) {
CppCloseCategories(&result->handedness[i]);
}
delete[] result->handedness;
for (uint32_t i = 0; i < result->hand_landmarks_count; ++i) {
CppCloseNormalizedLandmarks(&result->hand_landmarks[i]);
}
delete[] result->hand_landmarks;
for (uint32_t i = 0; i < result->hand_world_landmarks_count; ++i) {
CppCloseLandmarks(&result->hand_world_landmarks[i]);
}
delete[] result->hand_world_landmarks;
result->handedness = nullptr;
result->hand_landmarks = nullptr;
result->hand_world_landmarks = nullptr;
result->handedness_count = 0;
result->hand_landmarks_count = 0;
result->hand_world_landmarks_count = 0;
}
} // namespace mediapipe::tasks::c::components::containers

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/* Copyright 2023 The MediaPipe Authors.
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.
==============================================================================*/
#ifndef MEDIAPIPE_TASKS_C_COMPONENTS_CONTAINERS_HAND_LANDMARKER_RESULT_CONVERTER_H_
#define MEDIAPIPE_TASKS_C_COMPONENTS_CONTAINERS_HAND_LANDMARKER_RESULT_CONVERTER_H_
#include "mediapipe/tasks/c/vision/hand_landmarker/hand_landmarker_result.h"
#include "mediapipe/tasks/cc/vision/hand_landmarker/hand_landmarker_result.h"
namespace mediapipe::tasks::c::components::containers {
void CppConvertToHandLandmarkerResult(
const mediapipe::tasks::vision::hand_landmarker::HandLandmarkerResult& in,
HandLandmarkerResult* out);
void CppCloseHandLandmarkerResult(HandLandmarkerResult* result);
} // namespace mediapipe::tasks::c::components::containers
#endif // MEDIAPIPE_TASKS_C_COMPONENTS_CONTAINERS_HAND_LANDMARKER_RESULT_CONVERTER_H_

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/* Copyright 2023 The MediaPipe Authors.
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.
==============================================================================*/
#include "mediapipe/tasks/c/vision/hand_landmarker/hand_landmarker_result_converter.h"
#include <cstdint>
#include "mediapipe/framework/port/gtest.h"
#include "mediapipe/tasks/c/components/containers/landmark.h"
#include "mediapipe/tasks/c/vision/hand_landmarker/hand_landmarker_result.h"
#include "mediapipe/tasks/cc/components/containers/category.h"
#include "mediapipe/tasks/cc/components/containers/classification_result.h"
#include "mediapipe/tasks/cc/components/containers/landmark.h"
#include "mediapipe/tasks/cc/vision/hand_landmarker/hand_landmarker_result.h"
namespace mediapipe::tasks::c::components::containers {
void InitHandLandmarkerResult(
::mediapipe::tasks::vision::hand_landmarker::HandLandmarkerResult*
cpp_result) {
// Initialize handedness
mediapipe::tasks::components::containers::Category cpp_category = {
/* index= */ 1,
/* score= */ 0.8f,
/* category_name= */ "handeness_label_1",
/* display_name= */ "handeness_display_name_1"};
mediapipe::tasks::components::containers::Classifications
classifications_for_handedness;
classifications_for_handedness.categories.push_back(cpp_category);
cpp_result->handedness.push_back(classifications_for_handedness);
// Initialize hand_landmarks
mediapipe::tasks::components::containers::NormalizedLandmark
cpp_normalized_landmark = {/* x= */ 0.1f,
/* y= */ 0.2f,
/* z= */ 0.3f};
mediapipe::tasks::components::containers::NormalizedLandmarks
cpp_normalized_landmarks;
cpp_normalized_landmarks.landmarks.push_back(cpp_normalized_landmark);
cpp_result->hand_landmarks.push_back(cpp_normalized_landmarks);
// Initialize hand_world_landmarks
mediapipe::tasks::components::containers::Landmark cpp_landmark = {
/* x= */ 1.0f,
/* y= */ 1.1f,
/* z= */ 1.2f};
mediapipe::tasks::components::containers::Landmarks cpp_landmarks;
cpp_landmarks.landmarks.push_back(cpp_landmark);
cpp_result->hand_world_landmarks.push_back(cpp_landmarks);
}
TEST(HandLandmarkerResultConverterTest, ConvertsCustomResult) {
::mediapipe::tasks::vision::hand_landmarker::HandLandmarkerResult cpp_result;
InitHandLandmarkerResult(&cpp_result);
HandLandmarkerResult c_result;
CppConvertToHandLandmarkerResult(cpp_result, &c_result);
// Verify conversion of hand_landmarks
EXPECT_NE(c_result.hand_landmarks, nullptr);
EXPECT_EQ(c_result.hand_landmarks_count, cpp_result.hand_landmarks.size());
for (uint32_t i = 0; i < c_result.hand_landmarks_count; ++i) {
EXPECT_EQ(c_result.hand_landmarks[i].landmarks_count,
cpp_result.hand_landmarks[i].landmarks.size());
for (uint32_t j = 0; j < c_result.hand_landmarks[i].landmarks_count; ++j) {
const auto& landmark = cpp_result.hand_landmarks[i].landmarks[j];
EXPECT_FLOAT_EQ(c_result.hand_landmarks[i].landmarks[j].x, landmark.x);
EXPECT_FLOAT_EQ(c_result.hand_landmarks[i].landmarks[j].y, landmark.y);
EXPECT_FLOAT_EQ(c_result.hand_landmarks[i].landmarks[j].z, landmark.z);
}
}
// Verify conversion of hand_world_landmarks
EXPECT_NE(c_result.hand_world_landmarks, nullptr);
EXPECT_EQ(c_result.hand_world_landmarks_count,
cpp_result.hand_world_landmarks.size());
for (uint32_t i = 0; i < c_result.hand_landmarks_count; ++i) {
EXPECT_EQ(c_result.hand_world_landmarks[i].landmarks_count,
cpp_result.hand_world_landmarks[i].landmarks.size());
for (uint32_t j = 0; j < c_result.hand_world_landmarks[i].landmarks_count;
++j) {
const auto& landmark = cpp_result.hand_world_landmarks[i].landmarks[j];
EXPECT_FLOAT_EQ(c_result.hand_world_landmarks[i].landmarks[j].x,
landmark.x);
EXPECT_FLOAT_EQ(c_result.hand_world_landmarks[i].landmarks[j].y,
landmark.y);
EXPECT_FLOAT_EQ(c_result.hand_world_landmarks[i].landmarks[j].z,
landmark.z);
}
}
CppCloseHandLandmarkerResult(&c_result);
}
TEST(HandLandmarkerResultConverterTest, FreesMemory) {
::mediapipe::tasks::vision::hand_landmarker::HandLandmarkerResult cpp_result;
InitHandLandmarkerResult(&cpp_result);
HandLandmarkerResult c_result;
CppConvertToHandLandmarkerResult(cpp_result, &c_result);
EXPECT_NE(c_result.handedness, nullptr);
EXPECT_NE(c_result.hand_landmarks, nullptr);
EXPECT_NE(c_result.hand_world_landmarks, nullptr);
CppCloseHandLandmarkerResult(&c_result);
EXPECT_EQ(c_result.handedness, nullptr);
EXPECT_EQ(c_result.hand_landmarks, nullptr);
EXPECT_EQ(c_result.hand_world_landmarks, nullptr);
}
} // namespace mediapipe::tasks::c::components::containers

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/* Copyright 2023 The MediaPipe Authors.
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.
==============================================================================*/
#include "mediapipe/tasks/c/vision/hand_landmarker/hand_landmarker.h"
#include <cstdint>
#include <cstdlib>
#include <string>
#include "absl/flags/flag.h"
#include "absl/strings/string_view.h"
#include "mediapipe/framework/deps/file_path.h"
#include "mediapipe/framework/formats/image.h"
#include "mediapipe/framework/port/gmock.h"
#include "mediapipe/framework/port/gtest.h"
#include "mediapipe/tasks/c/components/containers/landmark.h"
#include "mediapipe/tasks/c/vision/core/common.h"
#include "mediapipe/tasks/c/vision/hand_landmarker/hand_landmarker_result.h"
#include "mediapipe/tasks/cc/vision/utils/image_utils.h"
namespace {
using ::mediapipe::file::JoinPath;
using ::mediapipe::tasks::vision::DecodeImageFromFile;
using testing::HasSubstr;
constexpr char kTestDataDirectory[] = "/mediapipe/tasks/testdata/vision/";
constexpr char kModelName[] = "hand_landmarker.task";
constexpr char kImageFile[] = "fist.jpg";
constexpr float kScorePrecision = 1e-2;
constexpr float kLandmarkPrecision = 1e-1;
constexpr int kIterations = 100;
std::string GetFullPath(absl::string_view file_name) {
return JoinPath("./", kTestDataDirectory, file_name);
}
void MatchesHandLandmarkerResult(HandLandmarkerResult* result,
const float score_precision,
const float landmark_precision) {
// Expects to have the same number of hands detected.
EXPECT_EQ(result->handedness_count, 1);
// Actual handedness matches expected handedness.
EXPECT_EQ(std::string{result->handedness[0].categories[0].category_name},
"Right");
EXPECT_NEAR(result->handedness[0].categories[0].score, 0.9893f,
score_precision);
// Actual landmarks match expected landmarks.
EXPECT_NEAR(result->hand_landmarks[0].landmarks[0].x, 0.477f,
landmark_precision);
EXPECT_NEAR(result->hand_landmarks[0].landmarks[0].y, 0.661f,
landmark_precision);
EXPECT_NEAR(result->hand_landmarks[0].landmarks[0].z, 0.0f,
landmark_precision);
EXPECT_NEAR(result->hand_world_landmarks[0].landmarks[0].x, -0.009f,
landmark_precision);
EXPECT_NEAR(result->hand_world_landmarks[0].landmarks[0].y, 0.082f,
landmark_precision);
EXPECT_NEAR(result->hand_world_landmarks[0].landmarks[0].z, 0.006f,
landmark_precision);
}
TEST(HandLandmarkerTest, ImageModeTest) {
const auto image = DecodeImageFromFile(GetFullPath(kImageFile));
ASSERT_TRUE(image.ok());
const std::string model_path = GetFullPath(kModelName);
HandLandmarkerOptions options = {
/* base_options= */ {/* model_asset_buffer= */ nullptr,
/* model_asset_buffer_count= */ 0,
/* model_asset_path= */ model_path.c_str()},
/* running_mode= */ RunningMode::IMAGE,
/* num_hands= */ 1,
/* min_hand_detection_confidence= */ 0.5,
/* min_hand_presence_confidence= */ 0.5,
/* min_tracking_confidence= */ 0.5,
};
void* landmarker = hand_landmarker_create(&options, /* error_msg */ nullptr);
EXPECT_NE(landmarker, nullptr);
const auto& image_frame = image->GetImageFrameSharedPtr();
const MpImage mp_image = {
.type = MpImage::IMAGE_FRAME,
.image_frame = {.format = static_cast<ImageFormat>(image_frame->Format()),
.image_buffer = image_frame->PixelData(),
.width = image_frame->Width(),
.height = image_frame->Height()}};
HandLandmarkerResult result;
hand_landmarker_detect_image(landmarker, mp_image, &result,
/* error_msg */ nullptr);
MatchesHandLandmarkerResult(&result, kScorePrecision, kLandmarkPrecision);
hand_landmarker_close_result(&result);
hand_landmarker_close(landmarker, /* error_msg */ nullptr);
}
TEST(HandLandmarkerTest, VideoModeTest) {
const auto image = DecodeImageFromFile(GetFullPath(kImageFile));
ASSERT_TRUE(image.ok());
const std::string model_path = GetFullPath(kModelName);
HandLandmarkerOptions options = {
/* base_options= */ {/* model_asset_buffer= */ nullptr,
/* model_asset_buffer_count= */ 0,
/* model_asset_path= */ model_path.c_str()},
/* running_mode= */ RunningMode::VIDEO,
/* num_hands= */ 1,
/* min_hand_detection_confidence= */ 0.5,
/* min_hand_presence_confidence= */ 0.5,
/* min_tracking_confidence= */ 0.5,
};
void* landmarker = hand_landmarker_create(&options, /* error_msg */ nullptr);
EXPECT_NE(landmarker, nullptr);
const auto& image_frame = image->GetImageFrameSharedPtr();
const MpImage mp_image = {
.type = MpImage::IMAGE_FRAME,
.image_frame = {.format = static_cast<ImageFormat>(image_frame->Format()),
.image_buffer = image_frame->PixelData(),
.width = image_frame->Width(),
.height = image_frame->Height()}};
for (int i = 0; i < kIterations; ++i) {
HandLandmarkerResult result;
hand_landmarker_detect_for_video(landmarker, mp_image, i, &result,
/* error_msg */ nullptr);
MatchesHandLandmarkerResult(&result, kScorePrecision, kLandmarkPrecision);
hand_landmarker_close_result(&result);
}
hand_landmarker_close(landmarker, /* error_msg */ nullptr);
}
// A structure to support LiveStreamModeTest below. This structure holds a
// static method `Fn` for a callback function of C API. A `static` qualifier
// allows to take an address of the method to follow API style. Another static
// struct member is `last_timestamp` that is used to verify that current
// timestamp is greater than the previous one.
struct LiveStreamModeCallback {
static int64_t last_timestamp;
static void Fn(HandLandmarkerResult* landmarker_result, const MpImage& image,
int64_t timestamp, char* error_msg) {
ASSERT_NE(landmarker_result, nullptr);
ASSERT_EQ(error_msg, nullptr);
MatchesHandLandmarkerResult(landmarker_result, kScorePrecision,
kLandmarkPrecision);
EXPECT_GT(image.image_frame.width, 0);
EXPECT_GT(image.image_frame.height, 0);
EXPECT_GT(timestamp, last_timestamp);
++last_timestamp;
}
};
int64_t LiveStreamModeCallback::last_timestamp = -1;
TEST(HandLandmarkerTest, LiveStreamModeTest) {
const auto image = DecodeImageFromFile(GetFullPath(kImageFile));
ASSERT_TRUE(image.ok());
const std::string model_path = GetFullPath(kModelName);
HandLandmarkerOptions options = {
/* base_options= */ {/* model_asset_buffer= */ nullptr,
/* model_asset_buffer_count= */ 0,
/* model_asset_path= */ model_path.c_str()},
/* running_mode= */ RunningMode::LIVE_STREAM,
/* num_hands= */ 1,
/* min_hand_detection_confidence= */ 0.5,
/* min_hand_presence_confidence= */ 0.5,
/* min_tracking_confidence= */ 0.5,
/* result_callback= */ LiveStreamModeCallback::Fn,
};
void* landmarker = hand_landmarker_create(&options, /* error_msg */ nullptr);
EXPECT_NE(landmarker, nullptr);
const auto& image_frame = image->GetImageFrameSharedPtr();
const MpImage mp_image = {
.type = MpImage::IMAGE_FRAME,
.image_frame = {.format = static_cast<ImageFormat>(image_frame->Format()),
.image_buffer = image_frame->PixelData(),
.width = image_frame->Width(),
.height = image_frame->Height()}};
for (int i = 0; i < kIterations; ++i) {
EXPECT_GE(hand_landmarker_detect_async(landmarker, mp_image, i,
/* error_msg */ nullptr),
0);
}
hand_landmarker_close(landmarker, /* error_msg */ nullptr);
// Due to the flow limiter, the total of outputs might be smaller than the
// number of iterations.
EXPECT_LE(LiveStreamModeCallback::last_timestamp, kIterations);
EXPECT_GT(LiveStreamModeCallback::last_timestamp, 0);
}
TEST(HandLandmarkerTest, InvalidArgumentHandling) {
// It is an error to set neither the asset buffer nor the path.
HandLandmarkerOptions options = {
/* base_options= */ {/* model_asset_buffer= */ nullptr,
/* model_asset_buffer_count= */ 0,
/* model_asset_path= */ nullptr},
/* running_mode= */ RunningMode::IMAGE,
/* num_hands= */ 1,
/* min_hand_detection_confidence= */ 0.5,
/* min_hand_presence_confidence= */ 0.5,
/* min_tracking_confidence= */ 0.5,
};
char* error_msg;
void* landmarker = hand_landmarker_create(&options, &error_msg);
EXPECT_EQ(landmarker, nullptr);
EXPECT_THAT(error_msg, HasSubstr("ExternalFile must specify"));
free(error_msg);
}
TEST(HandLandmarkerTest, FailedRecognitionHandling) {
const std::string model_path = GetFullPath(kModelName);
HandLandmarkerOptions options = {
/* base_options= */ {/* model_asset_buffer= */ nullptr,
/* model_asset_buffer_count= */ 0,
/* model_asset_path= */ model_path.c_str()},
/* running_mode= */ RunningMode::IMAGE,
/* num_hands= */ 1,
/* min_hand_detection_confidence= */ 0.5,
/* min_hand_presence_confidence= */ 0.5,
/* min_tracking_confidence= */ 0.5,
};
void* landmarker = hand_landmarker_create(&options, /* error_msg */
nullptr);
EXPECT_NE(landmarker, nullptr);
const MpImage mp_image = {.type = MpImage::GPU_BUFFER, .gpu_buffer = {}};
HandLandmarkerResult result;
char* error_msg;
hand_landmarker_detect_image(landmarker, mp_image, &result, &error_msg);
EXPECT_THAT(error_msg, HasSubstr("GPU Buffer not supported yet"));
free(error_msg);
hand_landmarker_close(landmarker, /* error_msg */ nullptr);
}
} // namespace