def param_sweep():
test_dir = Path('test_files/words/KNMP')
file_range = np.arange(4,50,2)
# file_range = [10]
minCutWindow_range = np.arange(0,40,5)
minCutWindow_range[0] = 1
# minCutWindow_range = [1]
maxCutWindow_range = np.arange(60,210,10)
# maxCutWindow_range = [60]
globalLexicon_range = [True, False]
# globalLexicon_range = [True]
with open('results.csv', 'wb') as csvfile:
csv_writer = csv.writer(csvfile, delimiter=',')
results = []
labels = ["minWindow", "maxWindow", "GlobalLexicon", "Right", "Wrong", "Accuracy"]
results.append(labels)
csv_writer.writerow(labels)
for minCutWindow in minCutWindow_range:
for maxCutWindow in maxCutWindow_range:
for globalLexicon in globalLexicon_range:
logging.info("Now testing %s\t%s\t%s" % (minCutWindow, maxCutWindow, globalLexicon))
globalRight = 0.0
globalWrong = 0.0
for file_nr in file_range:
logging.info("File: %s" % str(file_nr))
img_file = str(file_nr) + ".jpg"
img_path = Path(test_dir, img_file)
logging.info("img path %s" % img_path)
img = cv2.imread(img_path, 0)
words_file = str(file_nr) + ".words"
words_file_name = Path(test_dir, words_file)
right, wrong = recognizer.main(
state="internal", img=img, words_file_name=words_file_name,
minCutWindow = minCutWindow, maxCutWindow=maxCutWindow,
globalLexicon=globalLexicon
)
globalRight += right
globalWrong += wrong
# Log the results
accuracy = globalRight / (globalRight + globalWrong)
result = [minCutWindow, maxCutWindow, globalLexicon, globalRight, globalWrong, accuracy]
logging.info("Interim result:")
logging.info(result)
results.append(result)
csv_writer.writerow(result)
logging.info("Total result")
logging.info(results)
def test_worker(taskqueue, resultqueue, logqueue):
# Set up logging using the queue
#h = logging.handlers.QueueHandler(logqueue)
#root = logging.getLogger()
#root.handlers = []
#root.addHandler(h)
logger = logging.getLogger('Test worker')
logger.info('Starting an experiment subprocess')
while 1:
try:
task = taskqueue.get(True, 1)
except Queue.Empty:
time.sleep(1)
if task == None:
taskqueue.task_done() # Notify that we received STOP signal
break
# process task
num, min_cut, max_cut, lexicon = task
global_right = 0
global_wrong = 0
for file_nr in file_range:
logging.info("File: {}".format(str(file_nr)))
img_file = str(file_nr) + '.jpg'
img_path = Path(test_dir, img_file)
img = cv2.imread(img_path, cv2.IMREAD_GRAYSCALE)
words_file = str(file_nr) + '.words'
words_file_name = Path(test_dir, words_file)
right, wrong = recognizer.main(state="internal",
img=img,
words_file_name=words_file_name,
minCutWindow=min_cut,
maxCutWindow=max_cut,
globalLexicon=lexicon)
global_right += right
global_wrong += wrong
# Return the results
accuracy = global_right / float(global_right + global_wrong)
result = (num, min_cut, max_cut, lexicon, global_right, global_wrong,
accuracy)
resultqueue.put(result)
taskqueue.task_done()
logger.info('Exiting experiment subprocess')
def test_worker(taskqueue, resultqueue, logqueue):
# Set up logging using the queue
#h = logging.handlers.QueueHandler(logqueue)
#root = logging.getLogger()
#root.handlers = []
#root.addHandler(h)
logger = logging.getLogger('Test worker')
logger.info('Starting an experiment subprocess')
while 1:
try:
task = taskqueue.get(True, 1)
except Queue.Empty:
time.sleep(1)
if task == None:
taskqueue.task_done() # Notify that we received STOP signal
break
# process task
num, min_cut, max_cut, lexicon = task
global_right = 0
global_wrong = 0
for file_nr in file_range:
logging.info("File: {}".format(str(file_nr)))
img_file = str(file_nr) + '.jpg'
img_path = Path(test_dir, img_file)
img = cv2.imread(img_path, cv2.IMREAD_GRAYSCALE)
words_file = str(file_nr) + '.words'
words_file_name = Path(test_dir, words_file)
right, wrong = recognizer.main(state="internal", img=img,
words_file_name=words_file_name, minCutWindow=min_cut,
maxCutWindow=max_cut, globalLexicon=lexicon)
global_right += right
global_wrong += wrong
# Return the results
accuracy = global_right / float(global_right + global_wrong)
result = (num, min_cut, max_cut, lexicon, global_right, global_wrong,
accuracy)
resultqueue.put(result)
taskqueue.task_done()
logger.info('Exiting experiment subprocess')
def go_children(x):
Window.close()
recognizer.main()
def go_children(x):
Window.close()
recognizer.main()