def contour_extract_button(self, event):
Contour.contour_extract()
image = wx.Image('picture\\contour_image.png')
image_rescale = image.Rescale(200, 200)
image_rescale_bitmap = image_rescale.ConvertToBitmap()
self.automatic_cut_bitmap.Destroy()
self.contourExtractBitmap = wx.StaticBitmap(
self,
-1,
image_rescale_bitmap,
pos=(100, 0),
size=(image_rescale_bitmap.GetWidth(),
image_rescale_bitmap.GetHeight()))
def find_regions_by_border_color(cls, image_BGR, hsv_border_color=utils.HSV_BLACK):
image_HSV = utils.BGR_to_HSV(image_BGR)
min_max = utils.HSV_BLACK_RANGE if cls.BLACK_BORDER else utils.get_HSV_range(hsv_border_color)
thresh = utils.gray_to_BGR(cv2.inRange(image_HSV, min_max['min'], min_max['max']))
# utils.show_image(thresh, 2000, 'debug')
contours = Contour.find_contours(thresh)
contours = Contour.remove_frame(contours)
contours = Contour.without_small_contours(contours,
utils.image_size(image_BGR)*cls.MIN_RATIO)
regions = []
for contour in contours:
regions.append(Region.from_contour(contour))
return regions
def haralick_circularity(image, barycenter):
contour = Contour(image)
dist = []
for p in contour.points:
dist.append(
math.sqrt((p.i - barycenter.j)**2 + (p.j - barycenter.i)**2))
dist = np.array(dist)
mean = dist.sum() / contour.size
std_dev = math.sqrt(((dist - mean)**2).sum() / contour.size)
return mean / std_dev
def find_blobs(cls, image):
blobs = []
if cls.DARK_ON_LIGHT:
image = utils.get_invert_image(image)
contours = Contour.find_contours(image, 150)
for contour in contours:
if contour.area >= PIXEL_MIN:
blobs.append(Blob.from_contour(contour))
return blobs
startDatetimeUTC = pytz.utc.localize(startDatetime)
startDatetimeLocal = startDatetimeUTC.astimezone(pytz.timezone('America/Los_Angeles'))
# format contour output file name replacing file extension with .png
if args.outDir.startswith('/tmp'):
outFile = os.path.join(args.outDir, url_src.split('/')[-1].split('.')[0] + '.png')
else:
if "sbd" in url_src:
outFile = os.path.join(args.outDir, '/'.join(url_src.split('/')[-3:]).split('.')[0] + '.png')
else:
outFile = os.path.join(args.outDir, '/'.join(url_src.split('/')[-2:]).split('.')[0] + '.png')
if not os.path.exists(outFile) or args.debug:
logger.debug('out file %s', outFile)
contour = Contour(startDatetimeUTC, endDatetimeUTC, args.database, [platformName], args.plotgroup,
title, outFile, args.autoscale, args.plotDotParmName, args.booleanPlotGroup)
contour.run()
# Replace netCDF file with png extension and that is the URL of the log
logUrl = re.sub('\.nc$','.png', url_src)
# Round the UTC time to the local time and do the query for the 24 hour period the log file falls into
startDatetime = startDatetimeUTC
startDateTimeLocal = startDatetime.astimezone(pytz.timezone('America/Los_Angeles'))
startDateTimeLocal = startDateTimeLocal.replace(hour=0,minute=0,second=0,microsecond=0)
startDateTimeUTC24hr = startDateTimeLocal.astimezone(pytz.utc)
endDatetime = startDateTimeLocal
endDateTimeLocal = endDatetime.replace(hour=23,minute=59,second=0,microsecond=0)
endDateTimeUTC24hr = endDateTimeLocal.astimezone(pytz.utc)
def __init__(self, leaf):
self.file = File(leaf)
self.legend = Legend(leaf)
self.contour = Contour(leaf)
self.title = Title(leaf)
self.uv = UV(leaf)
def draw_blobs(self, image, color=None):
Contour.draw_outlines(self.blobs, image, color)
def __init__(self, points, color, centroid_x, centroid_y, area, perimeter):
Contour.__init__(self, points, color, centroid_x, centroid_y, area, perimeter)
self.points = utils.approx_contour(points)
self.id = self.get_next_id()
self.blobs = []
def update(self, start_date, end_date, url_dest):
try:
endDatetimeUTC = pytz.utc.localize(end_date)
startDatetimeUTC = pytz.utc.localize(start_date)
# format contour output file name replacing file extension with .png
if "sbd" in url_dest:
outFile = os.path.join(
self.args.outDir,
'/'.join(url_dest.split('/')[-3:]).split('.')[0] + '.png')
else:
outFile = os.path.join(
self.args.outDir,
'/'.join(url_dest.split('/')[-2:]).split('.')[0] + '.png')
title = 'MBARI LRAUV Survey - ' + self.vehicle
logger.debug('out file {}'.format(outFile))
contour = Contour(startDatetimeUTC, endDatetimeUTC,
self.args.database, [self.vehicle],
self.args.plotgroup, title, outFile,
self.args.autoscale, self.args.plotDotParmName,
self.args.booleanPlotGroup)
contour.run()
# Round the UTC time to the local time and do the query for the 24 hour period the log file falls into
startDatetime = startDatetimeUTC
startDateTimeLocal = startDatetime.astimezone(
pytz.timezone('America/Los_Angeles'))
startDateTimeLocal = startDateTimeLocal.replace(hour=0,
minute=0,
second=0,
microsecond=0)
startDateTimeUTC24hr = startDateTimeLocal.astimezone(pytz.utc)
endDatetime = startDateTimeLocal
endDateTimeLocal = endDatetime.replace(hour=23,
minute=59,
second=0,
microsecond=0)
endDateTimeUTC24hr = endDateTimeLocal.astimezone(pytz.utc)
outFile = (self.args.contourDir + '/' + self.vehicle + '_log_' +
startDateTimeUTC24hr.strftime('%Y%m%dT%H%M%S') + '_' +
endDateTimeUTC24hr.strftime('%Y%m%dT%H%M%S') + '.png')
url = (self.args.contourUrl + self.vehicle + '_log_' +
startDateTimeUTC24hr.strftime('%Y%m%dT%H%M%S') + '_' +
endDateTimeUTC24hr.strftime('%Y%m%dT%H%M%S') + '.png')
logger.debug('out file {} url: {}'.format(outFile, url))
c = Contour(startDateTimeUTC24hr, endDateTimeUTC24hr,
self.args.database, [self.vehicle],
self.args.plotgroup, title, outFile,
self.args.autoscale, self.args.plotDotParmName,
self.args.booleanPlotGroup)
c.run()
return True
except Exception as ex:
logger.warning(ex)
return False
# -*- coding: utf-8 -*-
"""
Created on Thu Jun 18 13:41:01 2015
Test playing with the Contour class (inspired by OpenCV-Python - Contour Properties lesson)
@author: Johnny
"""
#%%
from Contour import Contour
#%%
import cv2
import numpy as np
#%%
a = Contour("blue1.png")
#%%
pts = a.extreme_points
#%%
cnt = a.coordinates
#%%
img = a.img
#%%
for pt in pts:
cv2.circle(img, pts[pt], 3, (0, 0, 255), -1)
cv2.putText(img, pt, pts[pt], cv2.FONT_HERSHEY_PLAIN, 1, (255, 255, 255), 2, cv2.LINE_AA)
cv2.imshow("img", img)
cv2.waitKey()
cv2.destroyAllWindows()
def __init__(self, points, color, centroid_x, centroid_y, area, perimeter):
Contour.__init__(self, points, color, centroid_x, centroid_y, area, perimeter)
