Loading input/classifier/1.0/default/Android.bp +2 −2 Original line number Diff line number Diff line cc_binary { name: "android.hardware.input.classifier@1.0-service-example", init_rc: ["android.hardware.input.classifier@1.0-service-example.rc"], name: "android.hardware.input.classifier@1.0-service.default", init_rc: ["android.hardware.input.classifier@1.0-service.default.rc"], relative_install_path: "hw", vendor: true, vintf_fragments: ["manifest_input.classifier.xml"], Loading input/classifier/1.0/default/InputClassifier.cpp +8 −25 Original line number Diff line number Diff line Loading @@ -31,41 +31,24 @@ namespace V1_0 { namespace implementation { // Methods from ::android::hardware::input::classifier::V1_0::IInputClassifier follow. Return<Classification> InputClassifier::classify(const MotionEvent& event) { Return<Classification> InputClassifier::classify(const MotionEvent& /*event*/) { /** * In this example implementation, we will see how many "pixels" inside the video frame * exceed the value of 250. If more than 6 such pixels are present, then treat the event * as a "DEEP_PRESS". * The touchscreen data is highly device-dependent. * As a result, the implementation of this method will likely be hardware-specific. * Here we just report gesture as not having any classification, which means that the * default action will be taken in the framework. * This is equivalent to not having the InputClassifier HAL at all. */ if (event.frames.size() == 0) { return Classification::NONE; } ALOGI("Frame(O) timestamp = %" PRIu64 ", received %zu frame(s)", event.frames[0].timestamp, event.frames.size()); for (const VideoFrame& frame : event.frames) { size_t count = 0; for (size_t i = 0; i < frame.data.size(); i++) { if (frame.data[i] > 250) { count++; } } if (count > 6) { return Classification::DEEP_PRESS; } } return Classification::NONE; } Return<void> InputClassifier::reset() { // We don't have any internal state in this example implementation, // so no work needed here. // We don't have any internal state, so no work needed here. return Void(); } Return<void> InputClassifier::resetDevice(int32_t /*deviceId*/) { // We don't have any internal per-device state in this example implementation, // so no work needed here. // We don't have any internal per-device state, so no work needed here. return Void(); } Loading input/classifier/1.0/default/android.hardware.input.classifier@1.0-service-example.rc→input/classifier/1.0/default/android.hardware.input.classifier@1.0-service.default.rc +1 −1 Original line number Diff line number Diff line service vendor.input.classifier-1-0 /vendor/bin/hw/android.hardware.input.classifier@1.0-service-example service vendor.input.classifier-1-0 /vendor/bin/hw/android.hardware.input.classifier@1.0-service.default # Must be specified if "disabled" is set. This HAL will only start if requested via getService interface android.hardware.input.classifier@1.0::IInputClassifier default class hal Loading Loading
input/classifier/1.0/default/Android.bp +2 −2 Original line number Diff line number Diff line cc_binary { name: "android.hardware.input.classifier@1.0-service-example", init_rc: ["android.hardware.input.classifier@1.0-service-example.rc"], name: "android.hardware.input.classifier@1.0-service.default", init_rc: ["android.hardware.input.classifier@1.0-service.default.rc"], relative_install_path: "hw", vendor: true, vintf_fragments: ["manifest_input.classifier.xml"], Loading
input/classifier/1.0/default/InputClassifier.cpp +8 −25 Original line number Diff line number Diff line Loading @@ -31,41 +31,24 @@ namespace V1_0 { namespace implementation { // Methods from ::android::hardware::input::classifier::V1_0::IInputClassifier follow. Return<Classification> InputClassifier::classify(const MotionEvent& event) { Return<Classification> InputClassifier::classify(const MotionEvent& /*event*/) { /** * In this example implementation, we will see how many "pixels" inside the video frame * exceed the value of 250. If more than 6 such pixels are present, then treat the event * as a "DEEP_PRESS". * The touchscreen data is highly device-dependent. * As a result, the implementation of this method will likely be hardware-specific. * Here we just report gesture as not having any classification, which means that the * default action will be taken in the framework. * This is equivalent to not having the InputClassifier HAL at all. */ if (event.frames.size() == 0) { return Classification::NONE; } ALOGI("Frame(O) timestamp = %" PRIu64 ", received %zu frame(s)", event.frames[0].timestamp, event.frames.size()); for (const VideoFrame& frame : event.frames) { size_t count = 0; for (size_t i = 0; i < frame.data.size(); i++) { if (frame.data[i] > 250) { count++; } } if (count > 6) { return Classification::DEEP_PRESS; } } return Classification::NONE; } Return<void> InputClassifier::reset() { // We don't have any internal state in this example implementation, // so no work needed here. // We don't have any internal state, so no work needed here. return Void(); } Return<void> InputClassifier::resetDevice(int32_t /*deviceId*/) { // We don't have any internal per-device state in this example implementation, // so no work needed here. // We don't have any internal per-device state, so no work needed here. return Void(); } Loading
input/classifier/1.0/default/android.hardware.input.classifier@1.0-service-example.rc→input/classifier/1.0/default/android.hardware.input.classifier@1.0-service.default.rc +1 −1 Original line number Diff line number Diff line service vendor.input.classifier-1-0 /vendor/bin/hw/android.hardware.input.classifier@1.0-service-example service vendor.input.classifier-1-0 /vendor/bin/hw/android.hardware.input.classifier@1.0-service.default # Must be specified if "disabled" is set. This HAL will only start if requested via getService interface android.hardware.input.classifier@1.0::IInputClassifier default class hal Loading