Added provision for packets callback in iOS task runner

This commit is contained in:
Prianka Liz Kariat 2023-01-06 16:36:15 +05:30
parent 667fd81ddc
commit b6bcc35ade
3 changed files with 64 additions and 12 deletions

View File

@ -56,12 +56,12 @@ objc_library(
deps = [
":MPPTaskOptions",
":MPPTaskOptionsProtocol",
"//mediapipe/calculators/core:flow_limiter_calculator_cc_proto",
"//mediapipe/framework:calculator_cc_proto",
"//mediapipe/framework:calculator_options_cc_proto",
"//mediapipe/tasks/ios/common:MPPCommon",
"//mediapipe/tasks/ios/common/utils:MPPCommonUtils",
"//mediapipe/tasks/ios/common/utils:NSStringHelpers",
"//mediapipe/calculators/core:flow_limiter_calculator_cc_proto",
"//mediapipe/framework:calculator_cc_proto",
"//mediapipe/framework:calculator_options_cc_proto",
],
)
@ -88,8 +88,10 @@ objc_library(
"-std=c++17",
],
deps = [
"//mediapipe/framework:calculator_cc_proto",
"//mediapipe/tasks/cc/core:task_runner",
"//mediapipe/tasks/ios/common/utils:MPPCommonUtils",
"//mediapipe/framework:calculator_cc_proto",
"//mediapipe/tasks/cc/core:mediapipe_builtin_op_resolver",
"//mediapipe/tasks/cc/core:task_runner",
"@org_tensorflow//tensorflow/lite/core/api:op_resolver",
],
)

View File

@ -20,23 +20,65 @@
NS_ASSUME_NONNULL_BEGIN
/**
* This class is used to create and call appropriate methods on the C++ Task Runner.
*/
* This class is used to create and call appropriate methods on the C++ Task Runner to initialize,
* execute and terminate any MediaPipe task.
*
* An instance of the newly created C++ task runner will be stored until this class is destroyed.
* When methods are called for processing (performing inference), closing etc., on this class,
* internally the appropriate methods will be called on the C++ task runner instance to execute the
* appropriate actions. For each type of task, a subclass of this class must be defined to add any
* additional functionality. For eg:, vision tasks must create an `MPPVisionTaskRunner` and provide
* additional functionality. An instance of `MPPVisionTaskRunner` can in turn be used by the each
* vision task for creation and execution of the task. Please see the documentation for the C++ Task
* Runner for more details on how the taks runner operates.
**/
@interface MPPTaskRunner : NSObject
/**
* Initializes a new `MPPTaskRunner` with the mediapipe task graph config proto.
* Initializes a new `MPPTaskRunner` with the MediaPipe calculator configuration proto and an
* optional C++ packets callback.
*
* You can pass `nullptr` for `packetsCallback` in case the mode of operation requested by the user
* is synchronous.
*
* If the task is operating in asynchronous mode, any iOS MediaPipe task that uses the
* `MPPTaskRunner` must define a C++ callback function to obtain the results of inference
* asynchronously and deliver the results to the user. To accomplish this, the callback function
* should in turn invoke the block provided by the user in the task options supplied to create the
* task. Please see the documentation of the C++ Task Runner for more information on the synchronous
* and asynchronous modes of operation.
*
* @param graphConfig A mediapipe task graph config proto.
* @param packetsCallback An optional C++ callback function that takes a list of output packets as
* the input argument. If provided, the callback must in turn call the block provided by the user in
* the appropriate task options.
*
* @return An instance of `MPPTaskRunner` initialized to the given graph config proto.
*/
* @return An instance of `MPPTaskRunner` initialized to the given graph config proto and optional
* packetsCallback.
**/
- (instancetype)initWithCalculatorGraphConfig:(mediapipe::CalculatorGraphConfig)graphConfig
packetsCallback:
(mediapipe::tasks::core::PacketsCallback)packetsCallback
error:(NSError **)error NS_DESIGNATED_INITIALIZER;
/**
* A synchronous method for processing batch data or offline streaming data. This method is designed
* for processing either batch data such as unrelated images and texts or offline streaming data
* such as the decoded frames from a video file or audio file. The call blocks the current
* thread until a failure status or a successful result is returned. If the input packets have no
* timestamp, an internal timestamp will be assigend per invocation. Otherwise, when the timestamp
* is set in the input packets, the caller must ensure that the input packet timestamps are greater
* than the timestamps of the previous invocation. This method is thread-unsafe and it is the
* caller's responsibility to synchronize access to this method across multiple threads and to
* ensure that the input packet timestamps are in order.
**/
- (absl::StatusOr<mediapipe::tasks::core::PacketMap>)process:
(const mediapipe::tasks::core::PacketMap &)packetMap;
/**
* Shuts down the C++ task runner. After the runner is closed, any calls that send input data to the
* runner are illegal and will receive errors.
**/
- (absl::Status)close;
- (instancetype)init NS_UNAVAILABLE;

View File

@ -13,11 +13,17 @@
// limitations under the License.
#import "mediapipe/tasks/ios/core/sources/MPPTaskRunner.h"
#import "mediapipe/tasks/ios/common/utils/sources/MPPCommonUtils.h"
#include "mediapipe/tasks/cc/core/mediapipe_builtin_op_resolver.h"
#include "tensorflow/lite/core/api/op_resolver.h"
namespace {
using ::mediapipe::CalculatorGraphConfig;
using ::mediapipe::tasks::core::MediaPipeBuiltinOpResolver;
using ::mediapipe::tasks::core::PacketMap;
using ::mediapipe::tasks::core::PacketsCallback;
using TaskRunnerCpp = ::mediapipe::tasks::core::TaskRunner;
} // namespace
@ -30,15 +36,17 @@ using TaskRunnerCpp = ::mediapipe::tasks::core::TaskRunner;
@implementation MPPTaskRunner
- (instancetype)initWithCalculatorGraphConfig:(CalculatorGraphConfig)graphConfig
packetsCallback:(PacketsCallback)packetsCallback
error:(NSError **)error {
self = [super init];
if (self) {
auto taskRunnerResult = TaskRunnerCpp::Create(std::move(graphConfig));
auto taskRunnerResult = TaskRunnerCpp::Create(std::move(graphConfig),
absl::make_unique<MediaPipeBuiltinOpResolver>(),
std::move(packetsCallback));
if (![MPPCommonUtils checkCppError:taskRunnerResult.status() toError:error]) {
return nil;
}
_cppTaskRunner = std::move(taskRunnerResult.value());
}
return self;