From 4c8d921b491fe716539f90e1ca0d2ef8162af3cb Mon Sep 17 00:00:00 2001 From: anabwan Date: Mon, 9 Sep 2019 17:09:35 +0300 Subject: [PATCH 01/10] added face emotion game app Signed-off-by: anabwan --- apps/face_emotion_game/face_emotion_game.py | 205 + apps/face_emotion_game/score.dat | 1 + .../emotions-recognition-retail-0003.bin | Bin 0 -> 4965014 bytes .../emotions-recognition-retail-0003.xml | 801 ++++ .../face-detection-adas-0001.bin | Bin 0 -> 2105988 bytes .../face-detection-adas-0001.xml | 3641 +++++++++++++++++ apps/face_emotion_game/src/images/Anger.png | Bin 0 -> 3455 bytes apps/face_emotion_game/src/images/Happy.png | Bin 0 -> 5780 bytes apps/face_emotion_game/src/images/Neutral.png | Bin 0 -> 4621 bytes apps/face_emotion_game/src/images/Sad.png | Bin 0 -> 4787 bytes .../face_emotion_game/src/images/Surprise.png | Bin 0 -> 4991 bytes 11 files changed, 4648 insertions(+) create mode 100644 apps/face_emotion_game/face_emotion_game.py create mode 100644 apps/face_emotion_game/score.dat create mode 100644 apps/face_emotion_game/src/data/emotions-recognition/emotions-recognition-retail-0003.bin create mode 100644 apps/face_emotion_game/src/data/emotions-recognition/emotions-recognition-retail-0003.xml create mode 100644 apps/face_emotion_game/src/data/face-detection/face-detection-adas-0001.bin create mode 100644 apps/face_emotion_game/src/data/face-detection/face-detection-adas-0001.xml create mode 100644 apps/face_emotion_game/src/images/Anger.png create mode 100644 apps/face_emotion_game/src/images/Happy.png create mode 100644 apps/face_emotion_game/src/images/Neutral.png create mode 100644 apps/face_emotion_game/src/images/Sad.png create mode 100644 apps/face_emotion_game/src/images/Surprise.png diff --git a/apps/face_emotion_game/face_emotion_game.py b/apps/face_emotion_game/face_emotion_game.py new file mode 100644 index 00000000..4346e1a6 --- /dev/null +++ b/apps/face_emotion_game/face_emotion_game.py @@ -0,0 +1,205 @@ +#! /usr/bin/env python3 + +# Copyright(c) 2019 Intel Corporation. +# License: MIT See LICENSE file in root directory. + +from argparse import ArgumentParser, SUPPRESS +from openvino.inference_engine import IENetwork, IEPlugin, IECore +import cv2 +import logging as log +import numpy as np +import random +import os +import sys +import time +import pickle + +# Specify target device +score = 0 +FRAME_WIDTH = 672 +FRAME_HEIGHT = 384 +totalSecond = 7 +minSecond = 1.0 +startTime = 0.0 +timeElapsed = 0.0 +saveCount = 0 +pick_emoji = 0 + +RED_COLOR = (255, 0, 0) +GREEN_COLOR = (50, 255, 50) +DARK_GREEN_COLOR = (10, 150, 50) +YELLOW_COLOR = (50, 255, 255) + + +def build_argparser(): + parser = ArgumentParser(add_help=False) + args = parser.add_argument_group('Options') + args.add_argument('-h', '--help', action='help', default=SUPPRESS, help='Show this help message and exit.') + args.add_argument("-m", "--mirror", action="store_true", help="Flip camera") + args.add_argument("-fps", "--show_fps", action="store_true", help="Show fps information on top of camera view") + return parser + + +def show_countdown(frame, emotionLabel): + global totalSecond + global minSecond + global startTime + global timeElapsed + global saveCount + global pick_emoji + + emoji = cv2.imread(os.getcwd() + '/src/images/{}.png'.format(emotionLabel[pick_emoji])) + smile = cv2.addWeighted(frame[5:55, 5:55, :], 0.1, emoji, 1, 0) + frame[5:55, 5:55] = smile + + if totalSecond >= minSecond: + if totalSecond <= 5: + cv2.putText(frame, str(totalSecond), (int(15), int(90)), cv2.FONT_HERSHEY_DUPLEX, 1, GREEN_COLOR, 2, 1) + + timeElapsed += (time.time() - startTime) + + if timeElapsed >= 1: + totalSecond -= 1 + timeElapsed = 0 + startTime = time.time() + if totalSecond == 0: + return emotionLabel[pick_emoji] + else: + saveCount += 1 + totalSecond = 7 + pick_emoji = random.randint(0, 4) + return None + + return None + + +def main(): + log.basicConfig(format="[ %(levelname)s ] %(message)s", level=log.INFO, stream=sys.stdout) + args = build_argparser().parse_args() + + face_model_xml = os.getcwd() + "/src/data/face-detection/face-detection-adas-0001.xml" + face_model_bin = os.path.splitext(face_model_xml)[0] + ".bin" + + emotions_model_xml = os.getcwd() + "/src/data/emotions-recognition/emotions-recognition-retail-0003.xml" + emotions_model_bin = os.path.splitext(emotions_model_xml)[0] + ".bin" + + global score + device = "MYRIAD" + fps = "" + camera_id = 0 + high_score = 0 + + emotionLabel = ['Neutral', 'Happy', 'Sad', 'Surprise', 'Anger'] + + cap = cv2.VideoCapture(camera_id) + log.info("Loading Camera id {}".format(camera_id)) + + # Read IR - face detection + face_net = IENetwork(model=face_model_xml, weights=face_model_bin) + log.info("Face-Detection network has been loaded:\n\t{}\n\t{}".format(face_model_xml, face_model_bin)) + + # Read IR - emotions recognition + emotion_net = IENetwork(model=emotions_model_xml, weights=emotions_model_bin) + log.info("Emotions-Recognition network has been loaded:\n\t{}\n\t{}".format(emotions_model_xml, emotions_model_bin)) + + log.info("Setting device: {}".format(device)) + plugin = IEPlugin(device=device) + + log.info("Loading Face-Detection model to the plugin") + face_exec_net = plugin.load(network=face_net) + # Set configurations for face detection + face_input_blob = next(iter(face_net.inputs)) + face_out_blob = next(iter(face_net.outputs)) + + log.info("Loading Emotions-Recognition model to the plugin") + emotion_exec_net = plugin.load(network=emotion_net) + # Set configurations for emotion detection + emotion_input_blob = next(iter(emotion_net.inputs)) + emotion_out_blob = next(iter(emotion_net.outputs)) + + try: + with open('score.dat', 'rb') as file: + high_score = pickle.load(file) + file.close() + except: + log.warning("Can't read high score!!!") + + while cap.isOpened(): + t1 = time.time() + ret_val, img = cap.read() + + if not ret_val: + break + + if args.mirror: + img.flip(img, 1) + log.info("Using camera mirror") + + cv2.putText(img, 'High score: {}'.format(high_score), (FRAME_WIDTH - 250, 30), cv2.FONT_HERSHEY_DUPLEX, 0.7, + RED_COLOR, 1, 1) + cv2.putText(img, 'Your score is: {}'.format(score), (60, 30), cv2.FONT_HERSHEY_DUPLEX, 0.7, DARK_GREEN_COLOR, 1, 1) + picked_emoji = show_countdown(img, emotionLabel) + + prepimg = cv2.resize(img, (672, 384)) + prepimg = prepimg[np.newaxis, :, :, :] + prepimg = prepimg.transpose((0, 3, 1, 2)) + face_outputs = face_exec_net.infer(inputs={face_input_blob: prepimg}) + res = face_exec_net.requests[0].outputs[face_out_blob] + + for detection in res[0][0]: + confidence = float(detection[2]) + xmin = int(detection[3] * img.shape[1]) + ymin = int(detection[4] * img.shape[0]) + xmax = int(detection[5] * img.shape[1]) + ymax = int(detection[6] * img.shape[0]) + + if confidence > 0.7: + cv2.rectangle(img, (xmin, ymin), (xmax, ymax), color=GREEN_COLOR) + + if ymin is not 0 and ymax is not 0: + emoimg = img[ymin:ymax, xmin:xmax] + emoimg = cv2.resize(emoimg, (64, 64)) + emoimg = emoimg.transpose((2, 0, 1)) + emoimg = emoimg.reshape(1, 3, 64, 64) + emotion_outputs = emotion_exec_net.infer(inputs={emotion_input_blob: emoimg}) + res = emotion_exec_net.requests[0].outputs[emotion_out_blob] + out_emotion_reshape = res.reshape(-1, 5) + emotion_text = emotionLabel[np.argmax(out_emotion_reshape)] + + cv2.putText(img, emotion_text, (abs(xmin), abs(ymin - 10)), cv2.FONT_HERSHEY_DUPLEX, 0.7, YELLOW_COLOR, 1, 1) + + if picked_emoji: + log.info("picked: {} recognized: {}".format(emotion_text, picked_emoji)) + if picked_emoji and picked_emoji == emotion_text: + score += 10 + elif picked_emoji and picked_emoji != emotion_text: + # save high score + with open('score.dat', 'wb') as file: + high_score = score if score > high_score else high_score + pickle.dump(high_score, file) + log.info("Your score: {}".format(str(score))) + file.close() + # reset personal score + score = 0 + + if args.show_fps: + elapsed_time = time.time() - t1 + fps = "(Playback) {:.1f} FPS".format(1 / elapsed_time) + cv2.putText(img, fps, (15, FRAME_HEIGHT - 50), cv2.FONT_HERSHEY_SIMPLEX, 0.4, YELLOW_COLOR, 1, cv2.LINE_AA) + + cv2.imshow('Face Emotion Game', img) + + if cv2.waitKey(1) == 27: + # save high score + with open('score.dat', 'wb') as file: + high_score = score if score > high_score else high_score + pickle.dump(high_score, file) + log.info("High score saved: {}".format(str(high_score))) + file.close() + break # esc to quit + + cv2.destroyAllWindows() + + +if __name__ == '__main__': + sys.exit(main() or 0) diff --git a/apps/face_emotion_game/score.dat b/apps/face_emotion_game/score.dat new file mode 100644 index 00000000..5340067f --- /dev/null +++ b/apps/face_emotion_game/score.dat @@ -0,0 +1 @@ +€K–. \ No newline at end of file diff --git a/apps/face_emotion_game/src/data/emotions-recognition/emotions-recognition-retail-0003.bin b/apps/face_emotion_game/src/data/emotions-recognition/emotions-recognition-retail-0003.bin new file mode 100644 index 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