def process(folderfile):
'''process a file'''
file_index = 0
files = []
if os.path.isdir(folderfile):
files = file_list(folderfile, ['jpg', 'jpeg', 'png'])
else:
files.append(folderfile)
fname = files[file_index]
settings = MPSettings([
MPSetting('MetersPerPixel',
float,
0.2,
range=(0, 10),
increment=0.01,
digits=2,
tab='Image Processing'),
MPSetting('MinRegionArea',
float,
0.15,
range=(0, 100),
increment=0.05,
digits=2),
MPSetting('MaxRegionArea',
float,
2.0,
range=(0, 100),
increment=0.1,
digits=1),
MPSetting('MinRegionSize',
float,
0.1,
range=(0, 100),
increment=0.05,
digits=2),
MPSetting(
'MaxRegionSize', float, 2, range=(0, 100), increment=0.1,
digits=1),
MPSetting('MaxRarityPct',
float,
0.02,
range=(0, 100),
increment=0.01,
digits=2),
MPSetting('RegionMergeSize',
float,
3.0,
range=(0, 100),
increment=0.1,
digits=1),
MPSetting('minscore',
int,
0,
'Min Score',
range=(0, 1000),
increment=1,
tab='Scoring'),
MPSetting(
'filter_type', str, 'simple', 'Filter Type', choice=['simple']),
MPSetting('brightness',
float,
1.0,
'Display Brightness',
range=(0.1, 10),
increment=0.1,
digits=2,
tab='Display')
],
title='Settings')
menu = MPMenuSubMenu(
'View',
items=[
MPMenuItem('Original Image', 'Original Image', '_1original.pnm'),
MPMenuItem('Unquantised Image', 'Unquantised Image',
'_1unquantised.pnm'),
MPMenuItem('Thresholded Image', 'Thresholded Image',
'_2thresholded.pnm'),
MPMenuItem('Neighbours Image', 'Neighbours Image',
'_3neighbours.pnm'),
MPMenuItem('Regions Image', 'Regions Image', '_4regions.pnm'),
MPMenuItem('Prune Large Image', 'Prune Large Image',
'_5prunelarge.pnm'),
MPMenuItem('Merged Image', 'Merged Large', '_6merged.pnm'),
MPMenuItem('Pruned Image', 'Pruned Image', '_7pruned.pnm'),
MPMenuItem('Fit Window', 'Fit Window', 'fitWindow'),
MPMenuItem('Full Zoom', 'Full Zoom', 'fullSize'),
MPMenuItem('Next Image', 'Next Image', 'nextImage'),
MPMenuItem('Previous Image', 'Previous Image', 'previousImage')
])
im_orig = cv2.imread(fname, -1)
im_numpy = numpy.ascontiguousarray(im_orig)
# create the various views
view = mp_image.MPImage(title='FullImage', can_zoom=True, can_drag=True)
view.set_popup_menu(menu)
dlg = wxsettings.WXSettings(settings)
selected_image = "_1original.pnm"
while dlg.is_alive() and view.is_alive():
last_change = settings.last_change()
scan_parms = {
'MinRegionArea': settings.MinRegionArea,
'MaxRegionArea': settings.MaxRegionArea,
'MinRegionSize': settings.MinRegionSize,
'MaxRegionSize': settings.MaxRegionSize,
'MaxRarityPct': settings.MaxRarityPct,
'RegionMergeSize': settings.RegionMergeSize,
'SaveIntermediate': 1.0,
'MetersPerPixel': settings.MetersPerPixel
}
t0 = time.time()
regions = scanner.scan(im_numpy, scan_parms)
regions = cuav_region.RegionsConvert(regions,
cuav_util.image_shape(im_orig),
cuav_util.image_shape(im_orig),
False)
t1 = time.time()
print("Processing %s took %.2f seconds" % (fname, t1 - t0))
show_image(view, str(file_index + 1) + selected_image, im_orig, fname)
while last_change == settings.last_change() and dlg.is_alive():
new_index = file_index
for event in view.events():
if isinstance(event, MPMenuItem):
if event.returnkey == 'nextImage':
new_index = (file_index + 1) % len(files)
elif event.returnkey == 'previousImage':
new_index = (file_index - 1) % len(files)
elif event.returnkey.endswith("pnm"):
selected_image = event.returnkey
show_image(view,
str(file_index + 1) + selected_image,
im_orig, fname)
if new_index != file_index:
file_index = new_index
fname = files[file_index]
im_orig = cv2.imread(fname, -1)
im_numpy = numpy.ascontiguousarray(im_orig)
break
time.sleep(0.1)
#remove all the pnm's
directory = os.getcwd()
lst = os.listdir(directory)
for item in lst:
if item.endswith(".pnm"):
os.remove(os.path.join(directory, item))
def process(args):
'''process a file'''
file_index = 0
if os.path.isdir(args[0]):
files = file_list(args[0], ['jpg', 'pgm', 'png'])
else:
files = args
fname = files[file_index]
settings = MPSettings(
[
MPSetting('MetersPerPixel', float, 0.2, range=(0,10), increment=0.01, digits=2, tab='Image Processing'),
MPSetting('MinRegionArea', float, 0.15, range=(0,100), increment=0.05, digits=2),
MPSetting('MaxRegionArea', float, 2.0, range=(0,100), increment=0.1, digits=1),
MPSetting('MinRegionSize', float, 0.1, range=(0,100), increment=0.05, digits=2),
MPSetting('MaxRegionSize', float, 2, range=(0,100), increment=0.1, digits=1),
MPSetting('MaxRarityPct', float, 0.02, range=(0,100), increment=0.01, digits=2),
MPSetting('RegionMergeSize', float, 3.0, range=(0,100), increment=0.1, digits=1),
MPSetting('minscore', int, 0, 'Min Score', range=(0,1000), increment=1, tab='Scoring'),
MPSetting('filter_type', str, 'simple', 'Filter Type', choice=['simple', 'compactness']),
MPSetting('brightness', float, 1.0, 'Display Brightness', range=(0.1, 10), increment=0.1,
digits=2, tab='Display')
],
title='Settings'
)
menu = MPMenuSubMenu('View',
items=[
MPMenuItem('Original Image', 'Original Image', 'originalImage'),
MPMenuItem('Unquantised Image', 'Unquantised Image', 'unquantisedImage'),
MPMenuItem('Thresholded Image', 'Thresholded Image', 'thresholdedImage'),
MPMenuItem('Neighbours Image', 'Neighbours Image', 'neighboursImage'),
MPMenuItem('Regions Image', 'Regions Image', 'regionsImage'),
MPMenuItem('Prune Large Image', 'Prune Large Image', 'prunelargeImage'),
MPMenuItem('Merged Image', 'Merged Large', 'mergedImage'),
MPMenuItem('Pruned Image', 'Pruned Image', 'prunedImage'),
MPMenuItem('Fit Window', 'Fit Window', 'fitWindow'),
MPMenuItem('Full Zoom', 'Full Zoom', 'fullSize'),
MPMenuItem('Next Image', 'Next Image', 'nextImage'),
MPMenuItem('Previous Image', 'Previous Image', 'previousImage')])
im_orig = cuav_util.LoadImage(fname)
im_numpy = numpy.ascontiguousarray(cv.GetMat(im_orig))
im_rgb = cv.fromarray(im_numpy)
cv.CvtColor(im_rgb, im_rgb, cv.CV_BGR2RGB)
# create the various views
view = mp_image.MPImage(title='FullImage', can_zoom=True, can_drag=True)
view.set_popup_menu(menu)
dlg = wxsettings.WXSettings(settings)
selected_image = "original"
while dlg.is_alive() and view.is_alive():
last_change = settings.last_change()
scan_parms = {
'MinRegionArea' : settings.MinRegionArea,
'MaxRegionArea' : settings.MaxRegionArea,
'MinRegionSize' : settings.MinRegionSize,
'MaxRegionSize' : settings.MaxRegionSize,
'MaxRarityPct' : settings.MaxRarityPct,
'RegionMergeSize' : settings.RegionMergeSize,
'SaveIntermediate' : 1.0,
'MetersPerPixel' : settings.MetersPerPixel
}
t0 = time.time()
regions = scanner.scan(im_numpy, scan_parms)
regions = cuav_region.RegionsConvert(regions,
cuav_util.image_shape(im_orig),
cuav_util.image_shape(im_orig), False)
t1=time.time()
print("Processing %s took %.2f seconds" % (fname, t1-t0))
show_image(view, selected_image, im_rgb, fname)
while last_change == settings.last_change() and dlg.is_alive():
new_index = file_index
for event in view.events():
if isinstance(event, MPMenuItem):
if event.returnkey == 'nextImage':
new_index = (file_index + 1) % len(files)
elif event.returnkey == 'previousImage':
new_index = (file_index - 1) % len(files)
elif event.returnkey.endswith("Image"):
selected_image = event.returnkey[:-5]
show_image(view, selected_image, im_rgb, fname)
if new_index != file_index:
file_index = new_index
fname = files[file_index]
im_orig = cuav_util.LoadImage(fname)
im_numpy = numpy.ascontiguousarray(cv.GetMat(im_orig))
im_rgb = cv.fromarray(im_numpy)
cv.CvtColor(im_rgb, im_rgb, cv.CV_BGR2RGB)
break
time.sleep(0.1)
def process(args):
'''process a file'''
file_index = 0
if os.path.isdir(args[0]):
files = file_list(args[0], ['jpg', 'pgm', 'png'])
else:
files = args
fname = files[file_index]
settings = MPSettings([
MPSetting('MetersPerPixel',
float,
0.2,
range=(0, 10),
increment=0.01,
digits=2,
tab='Image Processing'),
MPSetting('MinRegionArea',
float,
0.15,
range=(0, 100),
increment=0.05,
digits=2),
MPSetting('MaxRegionArea',
float,
2.0,
range=(0, 100),
increment=0.1,
digits=1),
MPSetting('MinRegionSize',
float,
0.1,
range=(0, 100),
increment=0.05,
digits=2),
MPSetting(
'MaxRegionSize', float, 2, range=(0, 100), increment=0.1,
digits=1),
MPSetting('MaxRarityPct',
float,
0.02,
range=(0, 100),
increment=0.01,
digits=2),
MPSetting('RegionMergeSize',
float,
3.0,
range=(0, 100),
increment=0.1,
digits=1),
MPSetting('minscore',
int,
0,
'Min Score',
range=(0, 1000),
increment=1,
tab='Scoring'),
MPSetting('filter_type',
str,
'simple',
'Filter Type',
choice=['simple', 'compactness']),
MPSetting('brightness',
float,
1.0,
'Display Brightness',
range=(0.1, 10),
increment=0.1,
digits=2,
tab='Display')
],
title='Settings')
menu = MPMenuSubMenu(
'View',
items=[
MPMenuItem('Original Image', 'Original Image', 'originalImage'),
MPMenuItem('Unquantised Image', 'Unquantised Image',
'unquantisedImage'),
MPMenuItem('Thresholded Image', 'Thresholded Image',
'thresholdedImage'),
MPMenuItem('Neighbours Image', 'Neighbours Image',
'neighboursImage'),
MPMenuItem('Regions Image', 'Regions Image', 'regionsImage'),
MPMenuItem('Prune Large Image', 'Prune Large Image',
'prunelargeImage'),
MPMenuItem('Merged Image', 'Merged Large', 'mergedImage'),
MPMenuItem('Pruned Image', 'Pruned Image', 'prunedImage'),
MPMenuItem('Fit Window', 'Fit Window', 'fitWindow'),
MPMenuItem('Full Zoom', 'Full Zoom', 'fullSize'),
MPMenuItem('Next Image', 'Next Image', 'nextImage'),
MPMenuItem('Previous Image', 'Previous Image', 'previousImage')
])
im_orig = cuav_util.LoadImage(fname)
im_numpy = numpy.ascontiguousarray(cv.GetMat(im_orig))
im_rgb = cv.fromarray(im_numpy)
cv.CvtColor(im_rgb, im_rgb, cv.CV_BGR2RGB)
# create the various views
view = mp_image.MPImage(title='FullImage', can_zoom=True, can_drag=True)
view.set_popup_menu(menu)
dlg = wxsettings.WXSettings(settings)
selected_image = "original"
while dlg.is_alive() and view.is_alive():
last_change = settings.last_change()
scan_parms = {
'MinRegionArea': settings.MinRegionArea,
'MaxRegionArea': settings.MaxRegionArea,
'MinRegionSize': settings.MinRegionSize,
'MaxRegionSize': settings.MaxRegionSize,
'MaxRarityPct': settings.MaxRarityPct,
'RegionMergeSize': settings.RegionMergeSize,
'SaveIntermediate': 1.0,
'MetersPerPixel': settings.MetersPerPixel
}
t0 = time.time()
regions = scanner.scan(im_numpy, scan_parms)
regions = cuav_region.RegionsConvert(regions,
cuav_util.image_shape(im_orig),
cuav_util.image_shape(im_orig),
False)
t1 = time.time()
print("Processing %s took %.2f seconds" % (fname, t1 - t0))
show_image(view, selected_image, im_rgb, fname)
while last_change == settings.last_change() and dlg.is_alive():
new_index = file_index
for event in view.events():
if isinstance(event, MPMenuItem):
if event.returnkey == 'nextImage':
new_index = (file_index + 1) % len(files)
elif event.returnkey == 'previousImage':
new_index = (file_index - 1) % len(files)
elif event.returnkey.endswith("Image"):
selected_image = event.returnkey[:-5]
show_image(view, selected_image, im_rgb, fname)
if new_index != file_index:
file_index = new_index
fname = files[file_index]
im_orig = cuav_util.LoadImage(fname)
im_numpy = numpy.ascontiguousarray(cv.GetMat(im_orig))
im_rgb = cv.fromarray(im_numpy)
cv.CvtColor(im_rgb, im_rgb, cv.CV_BGR2RGB)
break
time.sleep(0.1)
