From 362efe516d28713d089a63029f25971e14aa5a92 Mon Sep 17 00:00:00 2001
From: Markus Willman <mpewil@utu.fi>
Date: Fri, 23 Feb 2018 22:27:14 +0200
Subject: [PATCH] minor changes (future proofing) - client side face detection
to avoid unnecessary processing - add all used models under
contrib/trained_models/web_models/
---
.../haarcascade_frontalface_default.xml | 0
client/sbs_client.py | 23 +-
contrib/src/web/database.py | 10 +-
contrib/src/web/emotion_gender_processor.py | 6 +-
.../gender_mini_XCEPTION.01-0.94.hdf5 | Bin 806200 -> 0 bytes
.../fer2013_mini_XCEPTION.102-0.66.hdf5 | Bin 0 -> 872856 bytes
.../haarcascade_frontalface_default.xml | 33314 ++++++++++++++++
.../{ => web_models}/simple_CNN.81-0.96.hdf5 | Bin
8 files changed, 33338 insertions(+), 15 deletions(-)
rename client/{haarcascade => haarcascades}/haarcascade_frontalface_default.xml (100%)
delete mode 100644 contrib/trained_models/gender_mini_XCEPTION.01-0.94.hdf5
create mode 100644 contrib/trained_models/web_models/fer2013_mini_XCEPTION.102-0.66.hdf5
create mode 100644 contrib/trained_models/web_models/haarcascade_frontalface_default.xml
rename contrib/trained_models/{ => web_models}/simple_CNN.81-0.96.hdf5 (100%)
diff --git a/client/haarcascade/haarcascade_frontalface_default.xml b/client/haarcascades/haarcascade_frontalface_default.xml
similarity index 100%
rename from client/haarcascade/haarcascade_frontalface_default.xml
rename to client/haarcascades/haarcascade_frontalface_default.xml
diff --git a/client/sbs_client.py b/client/sbs_client.py
index 49f3cea..e954f23 100755
--- a/client/sbs_client.py
+++ b/client/sbs_client.py
@@ -8,11 +8,14 @@ Created on Tue Feb 20 21:33:57 2018
import os, sys, cv2, requests, logging, re
from requests_toolbelt.multipart.encoder import MultipartEncoder
+from datetime import datetime
# Image file name and location
-TMP_IMAGE = os.path.join(os.path.normpath(os.path.join(os.getcwd(), 'images')), 'image.jpg')
+TMP_IMAGE = os.path.join(os.path.normpath(os.path.join(os.getcwd(), 'images')), 'image_{0}.jpg'.format(datetime.now().strftime("%Y%m%d%H%M%S")))
+# Face detection model path
+MODEL_PATH = os.path.join(os.path.normpath(os.path.join(os.getcwd(), 'haarcascades')), 'haarcascade_frontalface_default.xml')
# Server URI
-SERVER_URL = "tensorflow.stop.capstone.utu.fi"
+SERVER_URL = "http://tensorflow.stop.capstone.utu.fi"
# logging.basicConfig(filename = os.path.normpath(os.path.join(os.getcwd(), 'debug.log')), level = logging.DEBUG)
logging.basicConfig(filename = os.path.normpath(os.path.join(os.getcwd(), 'error.log')), level = logging.ERROR)
@@ -30,7 +33,7 @@ def sendImage(stopCode = None):
}
)
- response = requests.post("http://" + SERVER_URL + "/api/v1/classifyImage/",
+ response = requests.post(SERVER_URL + "/api/v1/classifyImage/",
data = multipart_data,
headers = {"Content-Type": multipart_data.content_type}
)
@@ -39,7 +42,7 @@ def sendImage(stopCode = None):
raise Exception('Service unavailable')
except Exception as err:
- logging.error('An error has occurred whilst sending the file: "{0}", for: {1}'.format(err, stopCode))
+ logging.error('An error has occurred while sending the file: "{0}", for: {1}'.format(err, stopCode))
# Removing image for security purposes
def removeImage():
@@ -59,15 +62,21 @@ def takePicture(cameraIndex):
if not ret:
raise Exception('Unable to capture image')
- cv2.imwrite(TMP_IMAGE, frame)
+ # matching serverside parameters, for comparable results
+ model = cv2.CascadeClassifier(MODEL_PATH)
+ faces = model.detectMultiScale(cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY), 1.3, 5)
+
+ if len(faces) != 0:
+ cv2.imwrite(TMP_IMAGE, frame)
+
cap.release()
if not os.path.isfile(TMP_IMAGE):
- raise Exception('Saving image to disk failed')
+ raise Exception('Image not saved, no faces in image')
return True
except Exception as err:
- logging.error('An error has occurred while capturing camera image: "{0}"'.format(err))
+ logging.error('An error has occurred while preprocessing camera image: "{0}"'.format(err))
return False
def main(argv):
diff --git a/contrib/src/web/database.py b/contrib/src/web/database.py
index 2ad520a..d910ea2 100755
--- a/contrib/src/web/database.py
+++ b/contrib/src/web/database.py
@@ -55,24 +55,24 @@ def close(db):
db.close()
def addStats(data, stopCode = None):
- stopCode = stopCode if stopCode else 'unknown'
+ stopCode = truncateString(stopCode if stopCode else 'unknown', GenderStats.t.max_length)
+ ts = currentTime() # only one value for current time per request
with _database.atomic():
i = 0
- ts = currentTime() # only one value for current time per request
for face in data:
if not face['gender']:
face['gender'] = 'unknown'
GenderStats.create(
- t = truncateString(stopCode, GenderStats.t.max_length),
+ t = stopCode,
t_ts = ts,
rowid = i,
gender_text = truncateString(face['gender'], GenderStats.gender_text.max_length)
)
- # NOTE: having serial id here has low risk of PK collision iff parallel processing of requests is used.
- # Can be done f.ex. through multiple uwsgi workers, which the current setup does not use
+ # NOTE: having serial id here has a small theoretical risk of PK collision iff parallel processing of requests is used.
+ # Can be done f.ex. through multiple uwsgi workers, which the current setup does NOT use
i += 1
def main(argv):
diff --git a/contrib/src/web/emotion_gender_processor.py b/contrib/src/web/emotion_gender_processor.py
index eb960be..e4c880f 100644
--- a/contrib/src/web/emotion_gender_processor.py
+++ b/contrib/src/web/emotion_gender_processor.py
@@ -30,9 +30,9 @@ class EGProcessor:
self.gender_labels = get_labels('imdb')
# loading models
- self.face_detection = load_detection_model(models_dir + '/detection_models/haarcascade_frontalface_default.xml')
- self.emotion_classifier = load_model(models_dir + '/emotion_models/fer2013_mini_XCEPTION.102-0.66.hdf5', compile=False)
- self.gender_classifier = load_model(models_dir + '/simple_CNN.81-0.96.hdf5', compile=False)
+ self.face_detection = load_detection_model(models_dir + '/web_models/haarcascade_frontalface_default.xml')
+ self.emotion_classifier = load_model(models_dir + '/web_models/fer2013_mini_XCEPTION.102-0.66.hdf5', compile=False)
+ self.gender_classifier = load_model(models_dir + '/web_models/simple_CNN.81-0.96.hdf5', compile=False)
if not os.path.exists(dirname):
os.mkdir(dirname)
diff --git a/contrib/trained_models/gender_mini_XCEPTION.01-0.94.hdf5 b/contrib/trained_models/gender_mini_XCEPTION.01-0.94.hdf5
deleted file mode 100644
index 6f61ab233f0461aa81260f17b67137ab569af776..0000000000000000000000000000000000000000
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diff --git a/contrib/trained_models/web_models/haarcascade_frontalface_default.xml b/contrib/trained_models/web_models/haarcascade_frontalface_default.xml
new file mode 100644
index 0000000..cbd1aa8
--- /dev/null
+++ b/contrib/trained_models/web_models/haarcascade_frontalface_default.xml
@@ -0,0 +1,33314 @@
+<?xml version="1.0"?>
+<!--
+ Stump-based 24x24 discrete(?) adaboost frontal face detector.
+ Created by Rainer Lienhart.
+
+////////////////////////////////////////////////////////////////////////////////////////
+
+ IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
+
+ By downloading, copying, installing or using the software you agree to this license.
+ If you do not agree to this license, do not download, install,
+ copy or use the software.
+
+
+ Intel License Agreement
+ For Open Source Computer Vision Library
+
+ Copyright (C) 2000, Intel Corporation, all rights reserved.
+ Third party copyrights are property of their respective owners.
+
+ Redistribution and use in source and binary forms, with or without modification,
+ are permitted provided that the following conditions are met:
+
+ * Redistribution's of source code must retain the above copyright notice,
+ this list of conditions and the following disclaimer.
+
+ * Redistribution's 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.
+
+ * The name of Intel Corporation may not be used to endorse or promote products
+ derived from this software without specific prior written permission.
+
+ 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 Intel Corporation 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.
+-->
+<opencv_storage>
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diff --git a/contrib/trained_models/simple_CNN.81-0.96.hdf5 b/contrib/trained_models/web_models/simple_CNN.81-0.96.hdf5
similarity index 100%
rename from contrib/trained_models/simple_CNN.81-0.96.hdf5
rename to contrib/trained_models/web_models/simple_CNN.81-0.96.hdf5
--
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