Add sample file

TeamCode/src/main/java/org/firstinspires/ftc/teamcode/ConceptTensorFlowObjectDetectionEasy.java

@@ -0,0 +1,142 @@
+/* Copyright (c) 2019 FIRST. All rights reserved.
+ *
+ * Redistribution and use in source and binary forms, with or without modification,
+ * are permitted (subject to the limitations in the disclaimer below) provided that
+ * the following conditions are met:
+ *
+ * Redistributions of source code must retain the above copyright notice, this list
+ * of conditions and the following disclaimer.
+ *
+ * Redistributions in binary form must reproduce the above copyright notice, this
+ * list of conditions and the following disclaimer in the documentation and/or
+ * other materials provided with the distribution.
+ *
+ * Neither the name of FIRST nor the names of its contributors may be used to endorse or
+ * promote products derived from this software without specific prior written permission.
+ *
+ * NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY THIS
+ * LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+ * "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO,
+ * THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
+ * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE
+ * FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+ * DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+ * SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+ * CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
+ * OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+ * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+ */
+
+package org.firstinspires.ftc.teamcode;
+
+import com.qualcomm.robotcore.eventloop.opmode.Disabled;
+import com.qualcomm.robotcore.eventloop.opmode.LinearOpMode;
+import com.qualcomm.robotcore.eventloop.opmode.TeleOp;
+
+import org.firstinspires.ftc.robotcore.external.hardware.camera.BuiltinCameraDirection;
+import org.firstinspires.ftc.robotcore.external.hardware.camera.WebcamName;
+import org.firstinspires.ftc.robotcore.external.tfod.Recognition;
+import org.firstinspires.ftc.vision.VisionPortal;
+import org.firstinspires.ftc.vision.tfod.TfodProcessor;
+
+import java.util.List;
+
+/*
+ * This OpMode illustrates the basics of TensorFlow Object Detection, using
+ * the easiest way.
+ *
+ * Use Android Studio to Copy this Class, and Paste it into your team's code folder with a new name.
+ * Remove or comment out the @Disabled line to add this OpMode to the Driver Station OpMode list.
+ */
+@TeleOp(name = "Concept: TensorFlow Object Detection Easy", group = "Concept")
+public class ConceptTensorFlowObjectDetectionEasy extends LinearOpMode {
+
+    private static final boolean USE_WEBCAM = true;  // true for webcam, false for phone camera
+
+    /**
+     * The variable to store our instance of the TensorFlow Object Detection processor.
+     */
+    private TfodProcessor tfod;
+
+    /**
+     * The variable to store our instance of the vision portal.
+     */
+    private VisionPortal visionPortal;
+
+    @Override
+    public void runOpMode() {
+
+        initTfod();
+
+        // Wait for the DS start button to be touched.
+        telemetry.addData("DS preview on/off", "3 dots, Camera Stream");
+        telemetry.addData(">", "Touch Play to start OpMode");
+        telemetry.update();
+        waitForStart();
+
+        if (opModeIsActive()) {
+            while (opModeIsActive()) {
+
+                telemetryTfod();
+
+                // Push telemetry to the Driver Station.
+                telemetry.update();
+
+                // Save CPU resources; can resume streaming when needed.
+                if (gamepad1.dpad_down) {
+                    visionPortal.stopStreaming();
+                } else if (gamepad1.dpad_up) {
+                    visionPortal.resumeStreaming();
+                }
+
+                // Share the CPU.
+                sleep(20);
+            }
+        }
+
+        // Save more CPU resources when camera is no longer needed.
+        visionPortal.close();
+
+    }   // end runOpMode()
+
+    /**
+     * Initialize the TensorFlow Object Detection processor.
+     */
+    private void initTfod() {
+
+        // Create the TensorFlow processor the easy way.
+        tfod = TfodProcessor.easyCreateWithDefaults();
+
+        // Create the vision portal the easy way.
+        if (USE_WEBCAM) {
+            visionPortal = VisionPortal.easyCreateWithDefaults(
+                hardwareMap.get(WebcamName.class, "Webcam 1"), tfod);
+        } else {
+            visionPortal = VisionPortal.easyCreateWithDefaults(
+                BuiltinCameraDirection.BACK, tfod);
+        }
+
+    }   // end method initTfod()
+
+    /**
+     * Add telemetry about TensorFlow Object Detection (TFOD) recognitions.
+     */
+    private void telemetryTfod() {
+
+        List<Recognition> currentRecognitions = tfod.getRecognitions();
+        telemetry.addData("# Objects Detected", currentRecognitions.size());
+
+        // Step through the list of recognitions and display info for each one.
+        for (Recognition recognition : currentRecognitions) {
+            double x = (recognition.getLeft() + recognition.getRight()) / 2 ;
+            double y = (recognition.getTop()  + recognition.getBottom()) / 2 ;
+
+            telemetry.addData(""," ");
+            telemetry.addData("Image", "%s (%.0f %% Conf.)", recognition.getLabel(), recognition.getConfidence() * 100);
+            telemetry.addData("- Position", "%.0f / %.0f", x, y);
+            telemetry.addData("- Size", "%.0f x %.0f", recognition.getWidth(), recognition.getHeight());
+        }   // end for() loop
+
+    }   // end method telemetryTfod()
+
+}   // end class