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Updated code2.py #2

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Updated code2.py #2

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19 changes: 9 additions & 10 deletions src/code2.py
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Original file line number Diff line number Diff line change
Expand Up @@ -29,10 +29,10 @@ def squ_point(img, x, y, k):

def click_and_crop(event, x, y, flags, param):
# grab references to the global variables
global refPt, cropping
if event == cv2.EVENT_LBUTTONDOWN:
global refPt,cropping
if event == cv2.EVENT_LBUTTONDOWN:
pass
elif event == cv2.EVENT_LBUTTONUP:
elif event == cv2.EVENT_LBUTTONUP:
refPt.append4((x, y))

# returns real-world distance between 2 points selected in image
Expand Down Expand Up @@ -289,8 +289,7 @@ def measure_distance(segmented_image,segmented_arm_image,arm_spread_image,waist_
dist1 = dist1/2
dist2 = dist2/2
perimeter = 2 * 3.1415 * math.sqrt((dist1*dist1 + dist2*dist2)/2)
print "waist",perimeter

print ("waist",perimeter)
head_pt = getHeadPoint(segmented_image)
# segmented_image = drawCircle(segmented_image, (head_pt[0],head_pt[1]), draw_radius)
image = drawCircle(image, (head_pt[0],head_pt[1]), draw_radius)
Expand Down Expand Up @@ -351,8 +350,8 @@ def measure_distance(segmented_image,segmented_arm_image,arm_spread_image,waist_
dist_sleeve = (dist5+dist4)/2.0
dist=dist1+dist2+dist3
dist_tuple=dist1,dist2,dist3
print "Shoulder Length",(dist+dist_ans)/2
print "Sleeve Length", (dist4+dist5)/2
print ("Shoulder Length",(dist+dist_ans)/2)
print ("Sleeve Length", (dist4+dist5)/2)


def main():
Expand All @@ -374,10 +373,10 @@ def main():
metre_pixel_x,metre_pixel_y,coordinate,affine_correct_parameters=analyze_chessboard(image,affine_correct_flag)

segmented_image=segment.segmenter(image)
print "Segmentation Completed 1"
print ("Segmentation Completed 1")

segmented_arm_image=segment.segmenter(arm_spread_image)
print "Segmentation Completed 2"
print ("Segmentation Completed 2")

cv2.imwrite("first.jpg",segmented_image)
cv2.imwrite("second.jpg",segmented_arm_image)
Expand All @@ -391,7 +390,7 @@ def main():
arm_spread_image=affine_correct(arm_spread_image,affine_correct_parameters)
waist_image=affine_correct(waist_image,affine_correct_parameters)
segmented_image=affine_correct(segmented_image,affine_correct_parameters)
print "Affine Corrected"
print ("Affine Corrected")

measure_distance(segmented_image,segmented_arm_image,arm_spread_image,waist_image,image,metre_pixel_x,metre_pixel_y)

Expand Down