if not os.path.isfile(filename):
sys.exit("filename " + filename + " does not exist")
# Read image
img = cv2.imread(filename)
# resize the image
# def resize(image, width = None, height = None, inter = cv2.INTER_AREA)
resized = resize(img, width=500)
# initialize ISSIMAGE class for setting up the image
xx = ISSIMAGE(filename)
xx.resize()
xx.show()
# ----------------------
# Get the sun elevation
# ----------------------
sunElev = xx.get_sun_elev()
logging.debug("Sun elevation = %s", sunElev)
# ----------------------
# Get the focal length
# ----------------------
focalLength = xx.get_focal_length()
logging.debug("Focal length = %s", focalLength)
# -----------------
# convert to gray
# putText(img, text, textOrg, fontFace, fontScale,
# Scalar::all(255), thickness, 8);
#cv2.putText(resized, str(percentColor)+'%', (20, 20),
cv2.putText(issimg.image, str(percentColor)+'%', (20, 80),
cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0, 255, 0), 1)
# Put name of file, focal length, sun elevation text on the image
issimg.put_text()
# Show images if desired
if (showImages) :
# show the frame and the binary image
# USE THE ISSIMAGE TO SHOW THE ORIGINAL IMAGE *******
#cv2.imshow(imagePath, resized)
issimg.show()
cv2.imshow("filtered",filtered)
if doOpening:
cv2.imshow("opening",opened)
# show the smoothed, thresholded image
cv2.imshow("Binary", block.binary)
cv2.waitKey(0)
# plot this histogram
#plot_color_hist(image)
cv2.destroyAllWindows()