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Add files via upload #5

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12 changes: 6 additions & 6 deletions HandRecognition.py
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Original file line number Diff line number Diff line change
Expand Up @@ -13,7 +13,7 @@

# Variables & parameters
hsv_thresh_lower=150
gaussian_ksize=11
gaussian_ksize=15
gaussian_sigma=0
morph_elem_size=13
median_ksize=3
Expand All @@ -37,7 +37,7 @@
def hand_capture(frame_in,box_x,box_y):
hsv = cv2.cvtColor(frame_in, cv2.COLOR_BGR2HSV)
ROI = np.zeros([capture_box_dim*capture_box_count,capture_box_dim,3], dtype=hsv.dtype)
for i in xrange(capture_box_count):
for i in range(capture_box_count):
ROI[i*capture_box_dim:i*capture_box_dim+capture_box_dim,0:capture_box_dim] = hsv[box_y[i]:box_y[i]+capture_box_dim,box_x[i]:box_x[i]+capture_box_dim]
hand_hist = cv2.calcHist([ROI],[0, 1], None, [180, 256], [0, 180, 0, 256])
cv2.normalize(hand_hist,hand_hist, 0, 255, cv2.NORM_MINMAX)
Expand Down Expand Up @@ -137,8 +137,8 @@ def mark_hand_center(frame_in,cont):
max_d=0
pt=(0,0)
x,y,w,h = cv2.boundingRect(cont)
for ind_y in xrange(int(y+0.3*h),int(y+0.8*h)): #around 0.25 to 0.6 region of height (Faster calculation with ok results)
for ind_x in xrange(int(x+0.3*w),int(x+0.6*w)): #around 0.3 to 0.6 region of width (Faster calculation with ok results)
for ind_y in range(int(y+0.3*h),int(y+0.8*h)): #around 0.25 to 0.6 region of height (Faster calculation with ok results)
for ind_x in range(int(x+0.3*w),int(x+0.6*w)): #around 0.3 to 0.6 region of width (Faster calculation with ok results)
dist= cv2.pointPolygonTest(cont,(ind_x,ind_y),True)
if(dist>max_d):
max_d=dist
Expand Down Expand Up @@ -204,7 +204,7 @@ def remove_bg(frame):
else:
frame=hand_threshold(fg_frame,hand_histogram)
contour_frame=np.copy(frame)
contours,hierarchy=cv2.findContours(contour_frame,cv2.RETR_TREE,cv2.CHAIN_APPROX_SIMPLE)
_,contours,hierarchy=cv2.findContours(contour_frame,cv2.RETR_TREE,cv2.CHAIN_APPROX_SIMPLE)
found,hand_contour=hand_contour_find(contours)
if(found):
hand_convex_hull=cv2.convexHull(hand_contour)
Expand All @@ -229,7 +229,7 @@ def remove_bg(frame):
hand_histogram=hand_capture(frame_original,box_pos_x,box_pos_y)
# Capture background by pressing 'b'
elif interrupt & 0xFF == ord('b'):
bg_model = cv2.BackgroundSubtractorMOG2(0,10)
bg_model = cv2.createBackgroundSubtractorMOG2(0,10)
bg_captured=1
# Reset captured hand by pressing 'r'
elif interrupt & 0xFF == ord('r'):
Expand Down