def close(event, x, y, flags, param):
if event == cv.CV_EVENT_LBUTTONDOWN:
freenect.sync_stop()
sys.exit()
color = (100, 255, 100)
cv.NamedWindow('Depth')
cv.SetMouseCallback('Depth', close, param=None)
depthThreshold = Threshold(0)
cv.CreateTrackbar('Depth Threshold', 'Depth', 0, 1200, depthThreshold)
depth_history = []
while 1:
depth, dts = freenect.sync_get_depth_np()
#rgb, rts = freenect.sync_get_rgb_np()
depth = ((depth <= depthThreshold.p).astype(np.uint8) * depth).astype(
np.uint16)
dP = Points(np.argwhere(depth != 0))
avg_dep = 0
#depth = depth.astype(np.uint8)
if dP.points.any():
# Average of the depth values that meet threshold
depth_values = depth[depth != 0]
avg_dep = sum(depth_values) / len(depth_values)
#if len(depth_history) == 5:
depth = array2cv(depth.astype(np.uint8))
bound_Rect = dP.boundingBox()
cv.Rectangle(depth, bound_Rect[0], bound_Rect[1], color, thickness=3)
#cv.PutText(detph, str(avg_dep), (50,50), ,
def close(event, x, y, flags, param):
if event == cv.CV_EVENT_LBUTTONDOWN:
freenect.sync_stop()
sys.exit()
color = (100,255, 100)
cv.NamedWindow('Depth')
cv.SetMouseCallback('Depth', close, param=None)
depthThreshold = Threshold(0)
cv.CreateTrackbar('Depth Threshold', 'Depth', 0, 1200, depthThreshold)
depth_history = []
while 1:
depth, dts = freenect.sync_get_depth_np()
#rgb, rts = freenect.sync_get_rgb_np()
depth = ((depth <= depthThreshold.p).astype(np.uint8)*depth).astype(np.uint16)
dP = Points(np.argwhere(depth!=0))
avg_dep=0
#depth = depth.astype(np.uint8)
if dP.points.any():
# Average of the depth values that meet threshold
depth_values =depth[depth != 0]
avg_dep=sum(depth_values)/len(depth_values)
#if len(depth_history) == 5:
depth = array2cv(depth.astype(np.uint8))
bound_Rect = dP.boundingBox()
cv.Rectangle(depth, bound_Rect[0], bound_Rect[1], color, thickness=3)
#cv.PutText(detph, str(avg_dep), (50,50), ,
cv.Circle(depth, dP.calculateCenter(), 48, color)
from queue import *
#from arrayfilter import *
DEFAULT_THRESHOLD = 640
COLOR = (100, 255, 100)
depthThreshold = Threshold(DEFAULT_THRESHOLD)
cv.NamedWindow('Depth')
cv.CreateTrackbar('Threshold', 'Depth', DEFAULT_THRESHOLD, 1200,
depthThreshold)
mouse_control = MouseControl(320, 240)
depth_values_queue = Queue(40)
while 1:
depth, timestamp = freenect.sync_get_depth_np()
depth = depth[::2, ::2]
#depth = gaussian(depth)
threshold_depths = ((depth <= depthThreshold.level).astype(np.uint8) *
depth).astype(np.uint16)
depth_points = Points(np.argwhere(threshold_depths != 0))
if depth_points.points.any():
threshold_depths = array2cv(threshold_depths.astype(np.uint8))
bound_rect = depth_points.boundingBox()
cv.Rectangle(threshold_depths,
bound_rect[0],
bound_rect[1],
COLOR,
thickness=3)
#!/usr/bin/env python
import freenect
import cv
import numpy as np
cv.NamedWindow('Depth')
cv.NamedWindow('RGB')
while 1:
depth, timestamp = freenect.sync_get_depth_np()
rgb, timestamp = freenect.sync_get_rgb_np()
cv.ShowImage('Depth', depth.astype(np.uint8))
cv.ShowImage('RGB', rgb.astype(np.uint8))
cv.WaitKey(10)
#!/usr/bin/env python
import freenect
import matplotlib.pyplot as mp
mp.ion()
mp.figure(1)
image_depth = mp.imshow(freenect.sync_get_depth_np()[0], interpolation="nearest", animated=True)
mp.figure(2)
image_rgb = mp.imshow(freenect.sync_get_rgb_np()[0], interpolation="nearest", animated=True)
while 1:
mp.figure(1)
image_depth.set_data(freenect.sync_get_depth_np()[0])
mp.figure(2)
image_rgb.set_data(freenect.sync_get_rgb_np()[0])
mp.draw()
import freenect
while 1:
a, t0 = freenect.sync_get_depth_np()
b, t1 = freenect.sync_get_rgb_np()
print(t0, t1)
