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test.py
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test.py
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
import numpy as np
from PIL import Image
import cv2
import logging
import time
import random
import sys
import os
import utils
from facedb import FaceDatabase
def test_processing():
# load images
image_list = utils.read_images('/Users/matti/Documents/forritun/andlit2/')
print len(image_list)
# pre_ids, pre_images = zip(*image_list)
processed_images = utils.convert_all_files(image_list)
print len(processed_images)
# ids, images = zip(*processed_images)
# print " pre: ", pre_ids
# print "post: ", ids
# utils.save_images(images)
utils.save_images_width_id(processed_images)
def test_detection():
image_list = utils.read_images('/Users/matti/Documents/forritun/andlit2/s18')
fd = utils.FaceDetector()
ids, images = zip(*processed_images)
def test_one_face(target):
# prófum þetta, finnst andlit í einfaldri mynd?
# path = '/Users/matti/Documents/forritun/andlit2/s41'
# path = '/Volumes/MacSarpur/Downloads/colorferet/colorferet/dvd1/data/images/s/s00001'
path = '/Users/matti/Dropbox/Skjöl/Meistaraverkefni/server/sull'
#path = '/Users/matti/Pictures/'
# img = cv2.imread(path + "matti.bmp")
# target = "ég2.jpg"
image = cv2.imread(os.path.join(path, target))
if image is None:
print "Gat ekki lesið mynd"
return
# print image.shape
image = utils.check_size_and_resize(image)
df = utils.FaceDetector()
face, eyes = df.detectFace(image)
if face is None or len(face) == 0:
print "Fann ekkert andlit í mynd: ", target
utils.show_image_and_wait_for_input(image)
return
face = face[0]
print "f:",face, "e:", eyes
image2 = image.copy()
utils.draw_face(image2, face, eyes)
utils.show_image_and_wait_for_input(image2)
fp = utils.FaceProcessor()
image2 = fp.process_image(image)
assert image2 is not None, "Mynd á ekki að vera null"
utils.show_image_and_wait_for_input(image2)
print "done"
return image2
def test_failed_face():
test_one_face('6.bmp' )
def test_reading_from_single_folder():
import random
images = utils.read_images_from_single_folder("/Users/matti/Dropbox/Skjöl/Meistaraverkefni/server/tmp")
if images:
id, image = random.choice(images)
print id
utils.show_image_and_wait_for_input(image)
else:
print "no images"
def print_dimension(image):
shape = image.shape
print shape
def check_processed_image():
images = utils.read_images_from_single_folder("/Users/matti/Dropbox/Skjöl/Meistaraverkefni/server/tmp")
if images:
id, image = random.choice(images)
# print id
# utils.show_image_and_wait_for_input(image)
print "processed: ",
print_dimension(image)
def check_unprocessed_image():
image = utils.read_image("/Users/matti/Documents/forritun/att_faces/10.bmp")
fp = utils.FaceProcessor()
image2 = fp.process_image(image)
print "unprocessed: ",
print_dimension(image2)
def check_histogram():
image = utils.read_image("/Users/matti/Documents/forritun/att_faces/matti2.jpg")
utils.show_image_and_wait_for_input(image)
fp = utils.FaceProcessor()
image2 = fp.process_image(image)
utils.show_image_and_wait_for_input(image2)
utils.equalize_histogram(image2)
utils.show_image_and_wait_for_input(image2)
def test_draw():
img = utils.read_image("/Users/matti/Dropbox/Skjöl/Meistaraverkefni/server/test_faces_to_search_for/arora_01.jpg")
utils.crop_jaw(img)
utils.show_image_and_wait_for_input(img)
def test_compare_images(img1_filename, img2_filename):
fp = utils.FaceProcessor()
img1 = fp.process_image(utils.read_image(img1_filename))
img2 = utils.read_image(img2_filename)
print img1
print "---"
print img2
print img1.shape, ", ", img2.shape
img3 = img1 - img2
print img3.sum() # allt núll, nákvæmlega eins
img3 = img2 - img1
print img3.sum() # allt núll, nákvæmlega eins
# utils.show_image_and_wait_for_input(img3)
def test_tanprocessing(filename):
from facerec.preprocessing import TanTriggsPreprocessing
path = '/Users/matti/Dropbox/Skjöl/Meistaraverkefni/server/sull'
image = cv2.imread(os.path.join(path, filename))
utils.show_image_and_wait_for_input(image)
# alpha = 0.1, tau = 10.0, gamma = 0.2, sigma0 = 1.0, sigma1 = 2.0):
t = TanTriggsPreprocessing(0.1, 10, 1.0, 3.0)
res = t.extract(image)
utils.show_image_and_wait_for_input(res)
t = TanTriggsPreprocessing()
res = t.extract(image)
utils.show_image_and_wait_for_input(res)
def test_face_database():
fdb = FaceDatabase("/Users/matti/Dropbox/Skjöl/Meistaraverkefni/server/tmp8", "LPQ")
img = utils.read_image("/Users/matti/Dropbox/Skjöl/Meistaraverkefni/server/test_faces_02/3078.png")
print "find_face returned: ", fdb.find_face(img)
def test_base64png():
img = utils.read_image("/Users/matti/Dropbox/Skjöl/Meistaraverkefni/server/test_faces_02/3078.png")
b64 = utils.image_to_base64png(img)
print b64[:100]
img2 = utils.base64png_to_image_color(b64)
utils.show_image_and_wait_for_input(img2)
def show_process_steps_of_one_picture(target):
""" processes a picture display an display an image after every step """
# prófum þetta, finnst andlit í einfaldri mynd?
# path = '/Users/matti/Documents/forritun/andlit2/s41'
# path = '/Volumes/MacSarpur/Downloads/colorferet/colorferet/dvd1/data/images/s/s00001'
path = '/Users/matti/Dropbox/Skjöl/Meistaraverkefni/server/sull'
#path = '/Users/matti/Pictures/'
# img = cv2.imread(path + "matti.bmp")
# target = "ég2.jpg"
image = cv2.imread(os.path.join(path, target))
if image is None:
print "Gat ekki lesið mynd"
return
image = utils.check_size_and_resize(image)
df = utils.FaceDetector()
face, eyes = df.detectFace(image)
if face is None or len(face) == 0:
print "Fann ekkert andlit í mynd: ", target
utils.show_image_and_wait_for_input(image)
return
face = face[0]
print "f:",face, "e:", eyes
image2 = image.copy()
utils.draw_face(image2, face, eyes)
utils.show_image_and_wait_for_input(image2)
fp = utils.FaceProcessor()
image2 = fp.process_image(image)
assert image2 is not None, "Mynd á ekki að vera null"
utils.show_image_and_wait_for_input(image2)
print "done"
img = cv2.imread(path_to_picture)
utils.show_image_and_wait_for_input(img)
img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
utils.show_image_and_wait_for_input(img)
if __name__ == "__main__":
# check_histogram()
# check_processed_image()
# check_unprocessed_image()
# test_processing()
# test_failed_face()
# test_reading_from_single_folder()
# show_process_steps_of_one_picture('/Users/matti/Dropbox/Skjöl/Meistaraverkefni/sull/3078.jpg')
# test_draw()
# test_tanprocessing('10.png')
# test_face_database()
# test_base64png()
mynd = test_one_face('simi_t1.jpg')
from facerec.preprocessing import TanTriggsPreprocessing
t = TanTriggsPreprocessing(0.1, 10, 1.0, 3.0)
res = t.extract(mynd)
utils.show_image_and_wait_for_input(res)
# test_one_face('simi_t2.jpg')
# test_one_face('simi_t3.jpg')
# test_one_face('simi_t4.jpg')
# test_one_face('gyda_03.jpg')
# test_one_face('3078.jpg')
#test_compare_images(
# '/Users/matti/Documents/forritun/att_faces/arora_01.jpg',
# '/Users/matti/Dropbox/Skjöl/Meistaraverkefni/server/test_faces_to_search_for/arora_01.png'
#)
"""
test_one_face('3.bmp')
test_one_face('4.bmp')
test_one_face('5.jpg')
test_one_face('6.bmp')
test_one_face('7.bmp')
test_one_face('8.bmp')
test_one_face('9.bmp')
"""