Python Bar.sma_windowの例

コード例 #1

print("Points:", len(points))
print("Triangles:", len(tri.simplices))

easy_tris = 0
hard_tris = 0
failed_tris = 0

# make sure we start with an empty projection matrix for each image
for image in proj.image_list:
    image.PROJ = None
        
# iterate through the triangle list
bar = Bar('Computing 3d model:', max=len(tri.simplices),
          suffix='%(percent).1f%% - %(eta)ds')
bar.sma_window = 100
camw, camh = proj.cam.get_image_params()
fuzz = 20.0
count = 0
update_steps = 50
for tri in tri.simplices:
    # print "Triangle:", tri

    # compute triangle center
    sum = np.array( [0.0, 0.0, 0.0] )
    for v in tri:
        feat = matches_sba[rkeys[v]]
        ned = feat['ned']
        sum += np.array( ned )
    tri_center = sum / len(tri)

コード例 #2

print "Points:", len(grid_points)
print "Triangles:", len(tri.simplices)

good_tris = 0
failed_tris = 0

# make sure we start with an empty projection matrix for each image
for image in proj.image_list:
    image.PROJ = None

# iterate through the triangle list
bar = Bar('Generating 3d model:',
          max=len(tri.simplices),
          suffix='%(percent).1f%% - %(eta)ds')
bar.sma_window = 50
camw, camh = proj.cam.get_image_params()
fuzz = 20.0
count = 0
update_steps = 10
for tri in tri.simplices:
    # print "Triangle:", tri

    # compute triangle center
    sum = np.array([0.0, 0.0, 0.0])
    for vert in tri:
        #print vert
        ned = [grid_points[vert][1], grid_points[vert][0], -grid_values[vert]]
        sum += np.array(ned)
    tri_center = sum / len(tri)
    #print tri_center

コード例 #3

ファイル: 5e-delaunay3.py プロジェクト: UASLab/ImageAnalysis

print "Points:", len(points)
print "Triangles:", len(tri.simplices)

easy_tris = 0
hard_tris = 0
failed_tris = 0

# make sure we start with an empty projection matrix for each image
for image in proj.image_list:
    image.PROJ = None
        
# iterate through the triangle list
bar = Bar('Computing 3d model:', max=len(tri.simplices),
          suffix='%(percent).1f%% - %(eta)ds')
bar.sma_window = 100
camw, camh = proj.cam.get_image_params()
fuzz = 20.0
count = 0
update_steps = 50
for tri in tri.simplices:
    # print "Triangle:", tri

    # compute triangle center
    sum = np.array( [0.0, 0.0, 0.0] )
    for v in tri:
        feat = matches_sba[rkeys[v]]
        ned = feat['ned']
        sum += np.array( ned )
    tri_center = sum / len(tri)

コード例 #4

ファイル: 5e-delaunay4.py プロジェクト: UASLab/ImageAnalysis

    image.tris = []
    
print "Points:", len(grid_points)
print "Triangles:", len(tri.simplices)

good_tris = 0
failed_tris = 0

# make sure we start with an empty projection matrix for each image
for image in proj.image_list:
    image.PROJ = None
        
# iterate through the triangle list
bar = Bar('Generating 3d model:', max=len(tri.simplices),
          suffix='%(percent).1f%% - %(eta)ds')
bar.sma_window = 50
camw, camh = proj.cam.get_image_params()
fuzz = 20.0
count = 0
update_steps = 10
for tri in tri.simplices:
    # print "Triangle:", tri

    # compute triangle center
    sum = np.array( [0.0, 0.0, 0.0] )
    for vert in tri:
        #print vert
        ned = [ grid_points[vert][1], grid_points[vert][0], -grid_values[vert] ]
        sum += np.array( ned )
    tri_center = sum / len(tri)
    #print tri_center