Hi all, I have a problem with the following script. I cannot write more than once to the txt file. I tried to disconnect and connect the open mv camera several times, but nothing seems to work. I can recognize the pattern images, but really it is impossile to me writing to the txt file.
Thanks for any indication and help.
# Template Matching Example - Normalized Cross Correlation (NCC)
#
# This example shows off how to use the NCC feature of your OpenMV Cam to match
# image patches to parts of an image... expect for extremely controlled enviorments
# NCC is not all to useful.
#
# WARNING: NCC supports needs to be reworked! As of right now this feature needs
# a lot of work to be made into somethin useful. This script will reamin to show
# that the functionality exists, but, in its current state is inadequate.
import time, sensor, image, pyb,os
from image import SEARCH_EX, SEARCH_DS
# Reset sensor
sensor.reset()
# Set sensor settings
sensor.set_contrast(1)
sensor.set_gainceiling(16)
# Max resolution for template matching with SEARCH_EX is QQVGA
sensor.set_framesize(sensor.QQVGA)
# You can set windowing to reduce the search image.
#sensor.set_windowing(((640-80)//2, (480-60)//2, 80, 60))
sensor.set_pixformat(sensor.GRAYSCALE)
# Load template.
# Template should be a small (eg. 32x32 pixels) grayscale image.
template = image.Image("/template.pgm")
template2 = image.Image("/template2.pgm")
clock = time.clock()
# Run template matching
while (True):
clock.tick()
img = sensor.snapshot()
# find_template(template, threshold, [roi, step, search])
# ROI: The region of interest tuple (x, y, w, h).
# Step: The loop step used (y+=step, x+=step) use a bigger step to make it faster.
# Search is either image.SEARCH_EX for exhaustive search or image.SEARCH_DS for diamond search
#
# Note1: ROI has to be smaller than the image and bigger than the template.
# Note2: In diamond search, step and ROI are both ignored.
f = img.find_template(template, 0.40, step=4, search=SEARCH_EX) #, roi=(10, 0, 60, 60))
g = img.find_template(template2, 0.60, step=4, search=SEARCH_EX) #, roi=(10, 0, 60, 60))
if f:
img.draw_rectangle(f,thickness=1)
t = pyb.millis()
print('Found template 1',(f[0]+(f[2]/2)),(f[1]+(f[3]/2)))
a=f[0]+(f[2]/2) # get coordinate data
f = open('logdata.txt', 'w')
f.write('Found_template_1',int(a))
f.close()
if g:
img.draw_rectangle(g,thickness=1)
t = pyb.millis()
print('Found template 2',(g[0]+(g[2]/2)),(g[1]+(g[3]/2)))
b=g[0]+(g[2]/2) # get coordinate data
#log = open('1:/File.csv', 'w')
#log.write('{},{}\n'.format(t,a)) # write data to file
#log.close()
print('Nothing')