def count_seeds():
img_src = request.args.get('img', type=str)#get the filename from the json request
img_src = os.path.join(APP_STATIC, img_src)#get the full path of the image
img = cv2.imread(img_src,cv2.CV_LOAD_IMAGE_COLOR) #read the image into a openCV image object
contourList = im_proc.getContourListFrom(img, initValues=False) #find all the contours
output = im_proc.drawContoursFromList(contourList)#draw the contours onto a copy of the original image
seedList = list()#to hold the seed data
seedListHeaders = ['Seed Number','Centroid','Seed Area','Length to Width','Circularity']#the headers for the statics table
#iterate through the contour objects and get their statistics. These statistics are put into
for key, cnt in contourList.iteritems():
featureList = list()
cnt.getCentroid()
featureList.append(cnt.getID())
featureList.append(cnt.getCentroid())
featureList.append(str(cnt.getArea()))
cnt.getBoundingBox()
boundingBoxDims = cnt.getMinBoundingBoxDimensions()
featureList.append(round(cnt.getContourLengthToWidth(),2))
featureList.append(round(cnt.getHeywoodCircularity(),2))
seedList.append(featureList)
filename = str(uuid.uuid4()) + ".jpg" #create random filename for the analysed image
img_save_path = "app/static/uploads/analysed/" + filename #filepath for analysed image
cv2.imwrite(img_save_path , output) #save the analysed image
return jsonify(filename = filename, seedList = seedList, seedListHeaders = seedListHeaders)#pass jsonified data back to the client
import cv2
import sys
import numpy as np
from count_objects import im_proc
from count_objects import contour_features as cf
if len(sys.argv) != 2: ## Check for error in usage syntax
print "Usage : python countSeeds.py <image_file>"
else: #continue with the program
## Read image file in colour
img = cv2.imread(sys.argv[1], cv2.CV_LOAD_IMAGE_COLOR)
cList = im_proc.getContourListFrom(img, initValues=False)
output = im_proc.drawContoursFromList(cList)
### show original
im_proc.show_image('input', img)
cv2.cv.MoveWindow('input', 0, 0)
#Show final image
im_proc.show_image('output', output)
cv2.cv.MoveWindow('output', 500, 0)
## Wait for keystroke to allow user to see image displays
cv2.waitKey(0)
cv2.destroyAllWindows()
import cv2
import sys
import numpy as np
from count_objects import im_proc
from count_objects import contour_features as cf
if len(sys.argv)!=2: ## Check for error in usage syntax
print "Usage : python countSeeds.py <image_file>"
else:#continue with the program
## Read image file in colour
img = cv2.imread(sys.argv[1],cv2.CV_LOAD_IMAGE_COLOR)
cList = im_proc.getContourListFrom(img, initValues=False)
output = im_proc.drawContoursFromList(cList)
### show original
im_proc.show_image('input',img)
cv2.cv.MoveWindow('input',0,0)
#Show final image
im_proc.show_image('output',output)
cv2.cv.MoveWindow('output',500,0)
## Wait for keystroke to allow user to see image displays
cv2.waitKey(0)
cv2.destroyAllWindows()