diff --git a/.gitignore b/.gitignore index 585e33f..9f4416e 100644 --- a/.gitignore +++ b/.gitignore @@ -65,6 +65,5 @@ lane_data train_data model_trained - trained_drowsiness_model - +dlib \ No newline at end of file diff --git a/TrainModel.ipynb b/TrainModel.ipynb index 8db82ef..d2132bb 100644 --- a/TrainModel.ipynb +++ b/TrainModel.ipynb @@ -2,9 +2,13 @@ "cells": [ { "cell_type": "code", +<<<<<<< HEAD + "execution_count": 2, +======= "execution_count": 4, +>>>>>>> f36dc270fe70acc0f887d52985abe8c43cb50b06 "metadata": {}, "outputs": [], "source": [ @@ -24,9 +28,13 @@ }, { "cell_type": "code", +<<<<<<< HEAD + "execution_count": 6, +======= "execution_count": 5, +>>>>>>> f36dc270fe70acc0f887d52985abe8c43cb50b06 "metadata": {}, "outputs": [], "source": [ @@ -135,9 +143,13 @@ }, { "cell_type": "code", +<<<<<<< HEAD + "execution_count": 4, +======= "execution_count": 6, +>>>>>>> f36dc270fe70acc0f887d52985abe8c43cb50b06 "metadata": {}, "outputs": [ { @@ -667,16 +679,24 @@ }, { "cell_type": "code", +<<<<<<< HEAD + "execution_count": 36, +======= "execution_count": 11, +>>>>>>> f36dc270fe70acc0f887d52985abe8c43cb50b06 "metadata": {}, "outputs": [ { "data": { +<<<<<<< HEAD + "image/png": 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", +======= "image/png": 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", +>>>>>>> f36dc270fe70acc0f887d52985abe8c43cb50b06 "text/plain": [ "
" ] @@ -686,9 +706,13 @@ }, { "data": { +<<<<<<< HEAD + "image/png": 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", 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", +>>>>>>> f36dc270fe70acc0f887d52985abe8c43cb50b06 "text/plain": [ "
" ] @@ -716,9 +740,13 @@ "import matplotlib.pyplot as plt\n", "\n", "# Đọc dữ liệu từ file CSV\n", +<<<<<<< HEAD + "log_data = pd.read_csv('training_log_v4.csv')\n", +======= "log_data = pd.read_csv('./model_trained/training_log_v3.csv')\n", +>>>>>>> f36dc270fe70acc0f887d52985abe8c43cb50b06 "\n", "# Accuracy\n", "plt.plot(log_data['accuracy'], label='Training Accuracy', color='blue')\n", @@ -733,9 +761,13 @@ "plt.plot(log_data['loss'], label='Training Loss', color='orange')\n", "plt.plot(log_data['val_loss'], label='Validation Loss', color='green')\n", "plt.title('Training and Validation Accuracy')\n", +<<<<<<< HEAD + "plt.ylabel('Accuracy')\n", +======= "plt.ylabel('Loss')\n", +>>>>>>> f36dc270fe70acc0f887d52985abe8c43cb50b06 "plt.xlabel('Epoch')\n", "plt.legend()\n", "plt.show()\n", @@ -744,9 +776,13 @@ }, { "cell_type": "code", +<<<<<<< HEAD + "execution_count": 9, +======= "execution_count": 18, +>>>>>>> f36dc270fe70acc0f887d52985abe8c43cb50b06 "metadata": {}, "outputs": [ { @@ -760,6 +796,13 @@ "name": "stdout", "output_type": "stream", "text": [ +<<<<<<< HEAD + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 151ms/step\n", + "prediction: wrong\n", + "expected: wrong\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 25ms/step\n", + "1\n" +======= "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 170ms/step\n", "prediction: right\n", @@ -767,6 +810,7 @@ "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 25ms/step\n", "0\n" +>>>>>>> f36dc270fe70acc0f887d52985abe8c43cb50b06 ] } ], @@ -775,11 +819,15 @@ "name_result = ['right', 'wrong']\n", "\n", "# load model\n", +<<<<<<< HEAD + "modelTrained = keras.models.load_model('./model_trained_v4.h5')\n", +======= "modelTrained = keras.models.load_model('./model_trained/model_trained_v3.h5')\n", "\n", "# modelTrained.evaluate(numpy.array(Xtest), numpy.array(Ytest))\n", +>>>>>>> f36dc270fe70acc0f887d52985abe8c43cb50b06 "\n", "# modelTrained.summary()\n", "\n", @@ -795,6 +843,14 @@ "\n", "# print(result(img))\n", "\n", +<<<<<<< HEAD + "test_idx = 22\n", + "\n", + "result = name_result[numpy.argmax(modelTrained.predict(Xtest[test_idx].reshape(-1, height, width, 1)))]\n", + "print('prediction: ', result)\n", + "actual_label = name_result[numpy.argmax(Ytest[test_idx])]\n", + "print('expected: ', actual_label)\n" +======= "test_idx = 2\n", " \n", @@ -804,6 +860,7 @@ "print('expected: ', actual_label)\n", "print(numpy.argmax(modelTrained.predict(Xtest[test_idx].reshape(-1, height, width, 1))))\n" +>>>>>>> f36dc270fe70acc0f887d52985abe8c43cb50b06 ] } ], diff --git a/data-transfer/readStream.py b/data-transfer/readStream.py index 1527272..535e147 100644 --- a/data-transfer/readStream.py +++ b/data-transfer/readStream.py @@ -185,11 +185,13 @@ def crop_output(image): # lane_model = keras.models.load_model(r'C:\Users\nguye\OneDrive\Desktop\U\kì 6\PBL5\LaneSenseGuard\model_trained\model_trained_v4.h5') lane_model = keras.models.load_model('././model_trained/model_trained_v4.h5') + dict = {'true': [1, 0], 'false': [0, 1]} name_result = ['right', 'wrong'] frame_counter = 0 frame_per_predict = 24 + cam2 = "http://192.168.137.9:8080/?action=stream" # cam2 = "http://192.168.137.9:8080/?action=stream" @@ -201,10 +203,8 @@ def crop_output(image): import asyncio async def send_and_receive(): global bytes, frame_counter - - uri = "ws://192.168.137.9:12345" - uri2 = "ws://103.77.246.238:5001" - async with websockets.connect(uri) as websocket_1, websockets.connect(uri2) as websocket_2: + uri = "ws://192.168.145.37:12345" + async with websockets.connect(uri) as websocket: while True: bytes += stream.read(1024) @@ -225,23 +225,18 @@ async def send_and_receive(): result = name_result[np.argmax(lane_model.predict(image.reshape(-1, 60, 160, 1)))] print(result) - await websocket_1.send("lane:" + result) - response = await websocket_1.recv() + await websocket.send("lane:" + result) + response = await websocket.recv() vertices = np.array([[(130, 390),(280, 305), (350, 305), (515,390)]], dtype=np.int32) # (480, 640, 3) i = cv2.polylines(i, vertices, isClosed=True, color=(0, 255, 0), thickness=2) # print(i.shape) - # Nén ảnh và gửi tới server WebSocket thứ hai - i = cv2.resize(i, (320, 240)) - _, buffer = cv2.imencode('.jpg', i, [int(cv2.IMWRITE_JPEG_QUALITY), 50]) - await websocket_2.send(buffer.tobytes()) cv2.imshow('i', i) if cv2.waitKey(1) == 27: exit(0) except Exception as ex: - - print(ex) + # print(ex) pass diff --git a/data-transfer/readStream2.py b/data-transfer/readStream2.py index 01e8e28..0474d46 100644 --- a/data-transfer/readStream2.py +++ b/data-transfer/readStream2.py @@ -2,19 +2,223 @@ import cv2 import urllib.request import numpy as np +import dlib +from imutils import face_utils +import os +import uuid +import tensorflow +from tensorflow import keras +from keras.models import load_model +# from dotenv import load_dotenv +from pathlib import Path -cam2 = "http://169.254.142.134:8000/stream.mjpg" -# cam2 = "http://169.254.142.134:8080/?action=stream" -stream = urllib.request.urlopen(cam2) -bytes = bytes() -while True: - bytes += stream.read(1024) - a = bytes.find(b'\xff\xd8') - b = bytes.find(b'\xff\xd9') - if a != -1 and b != -1: - jpg = bytes[a:b+2] - bytes = bytes[b+2:] - i = cv2.imdecode(np.fromstring(jpg, dtype=np.uint8), cv2.IMREAD_COLOR) - cv2.imshow('i', i) - if cv2.waitKey(1) == 27: - exit(0) \ No newline at end of file +# dotenv_path = Path('../../.env') +# load_dotenv(dotenv_path=dotenv_path) + +# DATASET_IMAGE_PATH = os.getenv('DATASET_IMAGE_PATH') + +# print(DATASET_IMAGE_PATH) + +# dirname = os.path.dirname(__file__) + +predictor_path = "././drowsiness-detector/models/shape_predictor_68_face_landmarks.dat" +predictor = dlib.shape_predictor(predictor_path) + +cascade_path = "././drowsiness-detector/models/haarcascade_frontalface_alt.xml" +face_cascade = cv2.CascadeClassifier(cascade_path) + +# drowsy_model = load_model('././drowsiness-detector/models/blinkModel.hdf5') +# drowsy_model.summary() + +# detect the face rectangle +def detect(img, cascade = face_cascade , minimumFeatureSize=(20, 20)): + if cascade.empty(): + raise (Exception("There was a problem loading your Haar Cascade xml file.")) + rects = cascade.detectMultiScale(img, scaleFactor=1.3, minNeighbors=1, minSize=minimumFeatureSize) + + # if it doesn't return rectangle return array + # with zero length + if len(rects) == 0: + return [] + + # convert last coord from (width,height) to (maxX, maxY) + rects[:, 2:] += rects[:, :2] + + return rects + +class RightEye: + def __init__(self, eye): + self.x_min = eye[:, 0].min() - 4 + self.x_max = eye[:, 0].max() + 20 + self.y_min = eye[:, 1].min() - 22 + self.y_max = eye[:, 1].max() + self.width = self.x_max - self.x_min + self.height = int(self.width * (26/34)) + +class LeftEye: + def __init__(self, eye): + self.x_min = eye[:, 0].min() - 20 + self.x_max = eye[:, 0].max() + 4 + self.y_min = eye[:, 1].min() - 22 + self.y_max = eye[:, 1].max() + self.width = self.x_max - self.x_min + self.height = int(self.width * (26/34)) + +def getFace(frame, gray): + def getFirstFace(te): + if len(te) > 1: + face = te[0] + return face + elif len(te) == 1: + [face] = te + return face + + te = detect(gray, minimumFeatureSize=(80, 80)) + + if len(te) == 0: + return None + + # colors = [(255, 0, 0), (0, 255, 0), (0, 0, 255)] + + # for i, feature in enumerate(te): + # x, y, w, h = feature + # color = colors[i % len(colors)] # Pick a color from the list, looping if necessary + # cv2.rectangle(frame, (x, y), (w, h), color, 2) + + + face = getFirstFace(te) + + faceRectangle = dlib.rectangle(left = int(face[0]), top = int(face[1]), + right = int(face[2]), bottom = int(face[3])) + + # cv2.rectangle(frame, (face[0], face[1]), (face[2], face[3]), (128, 0, 128), 2) + return faceRectangle + +def getEyes(face, gray): + shape = predictor(gray, face) + shape = face_utils.shape_to_np(shape) + + # grab the indexes of the facial landmarks for the left and + # right eye, respectively + (rStart, rEnd) = face_utils.FACIAL_LANDMARKS_IDXS["left_eye"] + (lStart, lEnd) = face_utils.FACIAL_LANDMARKS_IDXS["right_eye"] + + leftEye = shape[lStart:lEnd] + rightEye = shape[rStart:rEnd] + + return LeftEye(leftEye), RightEye(rightEye) + +def saveImage(frame, eye): + subfolder_name = "gen_close" + subfolder_path = os.path.join(DATASET_IMAGE_PATH, subfolder_name) + + if not os.path.exists(subfolder_path): + os.makedirs(subfolder_path) + + roi = frame[eye.y_min : eye. y_min + eye.height, eye.x_min : eye.x_min + eye.width] + + roi = cv2.resize(roi, (34, 26)) + + random_filename = str(uuid.uuid4()) + ".jpg" + + cv2.imwrite(os.path.join(subfolder_path, random_filename), roi) + +def process_image(frame): + gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY) + + face = getFace(frame, gray) + + if face is None: + return None, None + + leftEye, rightEye = getEyes(face, gray) + + cv2.rectangle(frame, (leftEye.x_min, leftEye.y_min ), (leftEye.x_min + leftEye.width, leftEye.y_min + leftEye.height), (0, 255, 0), 2) + + cv2.rectangle(frame, (rightEye.x_min, rightEye.y_min ), (rightEye.x_min + rightEye.width, rightEye.y_min + rightEye.height), (0, 255, 0), 2) + + return leftEye, rightEye + +def main(): + camera = cv2.VideoCapture(0) + + while True: + ret, frame = camera.read() + + gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY) + + face = getFace(frame, gray) + + if face is None: + continue + + leftEye, rightEye = getEyes(face, gray) + + cv2.rectangle(frame, (leftEye.x_min, leftEye.y_min ), (leftEye.x_min + leftEye.width, leftEye.y_min + leftEye.height), (0, 255, 0), 2) + + cv2.rectangle(frame, (rightEye.x_min, rightEye.y_min ), (rightEye.x_min + rightEye.width, rightEye.y_min + rightEye.height), (0, 255, 0), 2) + + # saveImage(frame, leftEye) + # saveImage(frame, rightEye) + + cv2.imshow('dataset generator', frame) + + key = cv2.waitKey(1) & 0xFF + + # if the `q` key was pressed, break from the loop + if key == ord('q'): + break + # do a little clean up + cv2.destroyAllWindows() + del(camera) + +if __name__ == '__main__': + main() + +# cam2 = "http://169.254.142.134:8000/stream.mjpg" +# # cam2 = "http://169.254.142.134:8080/?action=stream" +# stream = urllib.request.urlopen(cam2) +# bytes = bytes() + +# import websockets +# import asyncio +# async def send_and_receive(): +# global bytes, frame_counter +# uri = "ws://192.168.145.37:12345" +# async with websockets.connect(uri) as websocket: + +# while True: +# bytes += stream.read(1024) +# a = bytes.find(b'\xff\xd8') +# b = bytes.find(b'\xff\xd9') +# if a != -1 and b != -1: +# jpg = bytes[a:b+2] +# bytes = bytes[b+2:] +# i = cv2.imdecode(np.fromstring(jpg, dtype=np.uint8), cv2.IMREAD_COLOR) +# frame_counter += 1 +# if frame_counter == frame_per_predict: +# frame_counter = 0 +# try: +# # Get eyes ROI +# LeftEye_roi, RightEye_roi = process_image(i) +# if frame_counter == 0: +# # perform prediction + +# await websocket.send("Left eye:" + LeftEye_roi + "Right :" + RightEye_roi) +# response = await websocket.recv() + +# # print(i.shape) + +# cv2.imshow('i', i) + +# if cv2.waitKey(1) == 27: +# exit(0) +# except Exception as ex: +# # print(ex) + +# pass + + +# asyncio.get_event_loop().run_until_complete(send_and_receive()) + +# py data-transfer/readStream2.py \ No newline at end of file diff --git a/data-transfer/server-ras.py b/data-transfer/server-ras.py index 6952097..cead8da 100644 --- a/data-transfer/server-ras.py +++ b/data-transfer/server-ras.py @@ -1,6 +1,5 @@ import asyncio import websockets - import json import time import RPi.GPIO as GPIO