Created
February 14, 2016 01:26
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#!/usr/bin/env python | |
__author__ = 'ceremcem' | |
import cv2 | |
import numpy as np | |
def test_cv(): | |
c = cv2.VideoCapture('1.jpg') | |
assert c.isOpened() | |
val, img = c.read() | |
assert val #this should be True | |
test_cv() | |
class Target: | |
def __init__(self): | |
self.frame1 = cv2.imread('1.jpg') | |
self.frame2 = cv2.imread('2.jpg') | |
cv2.namedWindow("Target", 1) | |
diff = self.frame2 - self.frame1 | |
diff_gray = cv2.cvtColor(diff, cv2.COLOR_BGR2GRAY) | |
diff_gray = 255 - diff_gray | |
#diff_gray = self.blob_test | |
# Set up the detector with default parameters. | |
# Setup SimpleBlobDetector parameters. | |
params = cv2.SimpleBlobDetector_Params() | |
# Change thresholds | |
params.minThreshold = 1; | |
params.maxThreshold = 200; | |
# Filter by Area. | |
params.filterByArea = True | |
params.minArea = 15 | |
# Filter by Circularity | |
params.filterByCircularity = True | |
params.minCircularity = 0.001 | |
# Filter by Convexity | |
params.filterByConvexity = True | |
params.minConvexity = 0.87 | |
# Filter by Inertia | |
params.filterByInertia = True | |
params.minInertiaRatio = 0.01 | |
# Create a detector with the parameters | |
detector = cv2.SimpleBlobDetector(params) | |
# Detect blobs. | |
keypoints = detector.detect(diff_gray) | |
cv2.imwrite("output1.jpg", diff_gray) | |
#cv2.imwrite("output_with_keypoints", im_with_keypoints) | |
product_map = { | |
'kola': [{'x': [1580, 2128], 'y': [1908, 2740]}], | |
'kola zero': [{'x': [2164, 2340], 'y': [2336, 2540]}], | |
'fanta': [{'x': [2140, 2660], 'y': [2536, 2744]}], | |
} | |
taken_products = [] | |
for i in keypoints: | |
x = i.pt[0] | |
y = i.pt[1] | |
#print "DEBUG: Moved blob: x: %f, y: %f" % (x, y) | |
for product, coords in product_map.iteritems(): | |
for coor in coords: | |
#print "DEBUG: map of %s: " % product, coor['x'], coor['y'] | |
try: | |
assert x >= coor['x'][0] | |
assert x <= coor['x'][1] | |
assert y >= coor['y'][0] | |
assert y <= coor['y'][1] | |
if product not in taken_products: | |
taken_products.append(product) | |
except: | |
pass | |
for p in taken_products: | |
print "taken product: ", p | |
if __name__=="__main__": | |
t = Target() |
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