def gen_error_point_cloud(scene,cache,filename,thresh = 0.3):
boxm2_batch.init_process("boxm2ExportErrorPointCloudProcess");
boxm2_batch.set_input_from_db(0,scene);
boxm2_batch.set_input_from_db(1,cache);
boxm2_batch.set_input_string(2,filename); #ply filename
boxm2_batch.set_input_float(3,thresh); #prob threshold
boxm2_batch.run_process();
def update_grey_with_alt(scene,
cache,
cam,
img,
device=None,
ident="",
mask=None,
update_alpha=True,
var=-1.0,
alt_prior=None,
alt_density=None):
#If no device is passed in, do cpu update
if cache.type == "boxm2_cache_sptr":
print "ERROR: CPU update not implemented for update_with_alt"
elif cache.type == "boxm2_opencl_cache_sptr" and device:
print("boxm2_batch GPU update with alt")
boxm2_batch.init_process("boxm2OclUpdateWithAltProcess")
boxm2_batch.set_input_from_db(0, device)
boxm2_batch.set_input_from_db(1, scene)
boxm2_batch.set_input_from_db(2, cache)
boxm2_batch.set_input_from_db(3, cam)
boxm2_batch.set_input_from_db(4, img)
boxm2_batch.set_input_string(5, ident)
if mask:
boxm2_batch.set_input_from_db(6, mask)
boxm2_batch.set_input_bool(7, update_alpha)
boxm2_batch.set_input_float(8, var)
boxm2_batch.set_input_from_db(9, alt_prior)
boxm2_batch.set_input_from_db(10, alt_density)
boxm2_batch.run_process()
else:
print "ERROR: Cache type not recognized: ", cache.type
def gen_point_cloud(scene, cache):
boxm2_batch.init_process("boxm2ExtractPointCloudProcess")
boxm2_batch.set_input_from_db(0, scene)
boxm2_batch.set_input_from_db(1, cache)
boxm2_batch.set_input_float(2, 0)
#prob threshold
boxm2_batch.run_process()
def scale_and_offset_values(img, scale, offset):
boxm2_batch.init_process("vilScaleAndOffsetValuesProcess")
boxm2_batch.set_input_from_db(0, img)
boxm2_batch.set_input_float(1, scale)
boxm2_batch.set_input_float(2, offset)
boxm2_batch.run_process()
return
def compute_derivatives_process(scene,
cache,
prob_threshold,
normal_threshold,
kernel_x_file_name,
kernel_y_file_name,
kernel_z_file_name,
i=-1,
j=-1,
k=-1):
boxm2_batch.init_process("boxm2CppComputeDerivativeProcess")
boxm2_batch.set_input_from_db(0, scene)
boxm2_batch.set_input_from_db(1, cache)
boxm2_batch.set_input_float(2, prob_threshold)
#prob threshold
boxm2_batch.set_input_float(3, normal_threshold)
#normal t
boxm2_batch.set_input_string(
4,
"C:/projects/vxl/vxl/contrib/brl/bseg/bvpl/doc/taylor2_5_5_5/Ix.txt")
boxm2_batch.set_input_string(
5,
"C:/projects/vxl/vxl/contrib/brl/bseg/bvpl/doc/taylor2_5_5_5/Iy.txt")
boxm2_batch.set_input_string(
6,
"C:/projects/vxl/vxl/contrib/brl/bseg/bvpl/doc/taylor2_5_5_5/Iz.txt")
boxm2_batch.set_input_int(7, i)
boxm2_batch.set_input_int(8, j)
boxm2_batch.set_input_int(9, k)
boxm2_batch.run_process()
def update_grey(scene,
cache,
cam,
img,
device=None,
ident="",
mask=None,
update_alpha=True,
var=-1.0):
#If no device is passed in, do cpu update
if cache.type == "boxm2_cache_sptr":
print "boxm2_batch CPU update"
boxm2_batch.init_process("boxm2CppUpdateImageProcess")
boxm2_batch.set_input_from_db(0, scene)
boxm2_batch.set_input_from_db(1, cache)
boxm2_batch.set_input_from_db(2, cam)
boxm2_batch.set_input_from_db(3, img)
return boxm2_batch.run_process()
elif cache.type == "boxm2_opencl_cache_sptr" and device:
print("boxm2_batch GPU update")
boxm2_batch.init_process("boxm2OclUpdateProcess")
boxm2_batch.set_input_from_db(0, device)
boxm2_batch.set_input_from_db(1, scene)
boxm2_batch.set_input_from_db(2, cache)
boxm2_batch.set_input_from_db(3, cam)
boxm2_batch.set_input_from_db(4, img)
boxm2_batch.set_input_string(5, ident)
if mask:
boxm2_batch.set_input_from_db(6, mask)
boxm2_batch.set_input_bool(7, update_alpha)
boxm2_batch.set_input_float(8, var)
return boxm2_batch.run_process()
else:
print "ERROR: Cache type not recognized: ", cache.type
return False
def scale_and_offset_values(img, scale, offset):
boxm2_batch.init_process("vilScaleAndOffsetValuesProcess")
boxm2_batch.set_input_from_db(0, img)
boxm2_batch.set_input_float(1, scale)
boxm2_batch.set_input_float(2, offset)
boxm2_batch.run_process()
return
def import_triangle_mesh(scene, cache, ply_filename, occupied_prob=0.99):
boxm2_batch.init_process("boxm2ImportTriangleMeshProcess")
boxm2_batch.set_input_from_db(0,scene)
boxm2_batch.set_input_from_db(1,cache)
boxm2_batch.set_input_string(2,ply_filename)
boxm2_batch.set_input_float(3,occupied_prob)
boxm2_batch.run_process()
def import_triangle_mesh(scene, cache, ply_filename, occupied_prob=0.99):
boxm2_batch.init_process("boxm2ImportTriangleMeshProcess")
boxm2_batch.set_input_from_db(0, scene)
boxm2_batch.set_input_from_db(1, cache)
boxm2_batch.set_input_string(2, ply_filename)
boxm2_batch.set_input_float(3, occupied_prob)
boxm2_batch.run_process()
def prob_as_expected(image, atomicity):
boxm2_batch.init_process("bslExpectedImageProcess")
boxm2_batch.set_input_from_db(0, image)
boxm2_batch.set_input_float(1, atomicity)
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
image_prob = dbvalue(id, type)
return image_prob
def scale_scene(scene, scale):
boxm2_batch.init_process("boxm2ScaleSceneProcess")
boxm2_batch.set_input_from_db(0, scene)
boxm2_batch.set_input_float(1, scale)
boxm2_batch.run_process()
(scene_id, scene_type) = boxm2_batch.commit_output(0)
scene = dbvalue(scene_id, scene_type)
return scene
def atmospheric_correct(image, sun_z):
boxm2_batch.init_process('bbasAtmosphericCorrProcess')
boxm2_batch.set_input_from_db(0, image)
boxm2_batch.set_input_float(1, sun_z)
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
image_corrected = dbvalue(id, type)
return image_corrected
def prob_as_expected(image,atomicity):
boxm2_batch.init_process("bslExpectedImageProcess")
boxm2_batch.set_input_from_db(0,image)
boxm2_batch.set_input_float(1,atomicity)
boxm2_batch.run_process()
(id,type) = boxm2_batch.commit_output(0)
image_prob = dbvalue(id,type)
return image_prob
def detect_shadow_rgb(img, threshold):
boxm2_batch.init_process("vilShadowDetectionProcess")
boxm2_batch.set_input_from_db(0, img)
boxm2_batch.set_input_float(1, threshold)
boxm2_batch.run_process()
(o_id, o_type) = boxm2_batch.commit_output(0)
region_img = dbvalue(o_id, o_type)
return region_img
def max_threshold_image(img, threshold):
boxm2_batch.init_process("vilThresholdMaxImageProcess")
boxm2_batch.set_input_from_db(0, img)
boxm2_batch.set_input_float(1, threshold)
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
mask = dbvalue(id, type)
return mask
def atmospheric_correct(image, sun_z):
boxm2_batch.init_process('bbasAtmosphericCorrProcess')
boxm2_batch.set_input_from_db(0,image)
boxm2_batch.set_input_float(1,sun_z)
boxm2_batch.run_process()
(id,type) = boxm2_batch.commit_output(0)
image_corrected = dbvalue(id,type)
return image_corrected
def detect_shadow_rgb(img, threshold):
boxm2_batch.init_process("vilShadowDetectionProcess")
boxm2_batch.set_input_from_db(0, img)
boxm2_batch.set_input_float(1, threshold)
boxm2_batch.run_process()
(o_id, o_type) = boxm2_batch.commit_output(0)
region_img = dbvalue(o_id, o_type)
return region_img
def vrml_filter_ply(vrml_filename, ply_file, points_file, dist_threshold,nearest=False):
boxm2_batch.init_process("bvrmlFilteredPlyProcess");
boxm2_batch.set_input_string(0,vrml_filename);
boxm2_batch.set_input_string(1,ply_file);
boxm2_batch.set_input_string(2,points_file);
boxm2_batch.set_input_float(3,dist_threshold);
boxm2_batch.set_input_bool(4,nearest);
boxm2_batch.run_process();
def max_threshold_image(img, threshold):
boxm2_batch.init_process("vilThresholdMaxImageProcess")
boxm2_batch.set_input_from_db(0, img)
boxm2_batch.set_input_float(1, threshold)
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
mask = dbvalue(id, type)
return mask
def threshold_image(img, value, threshold_above=True):
boxm2_batch.init_process("vilThresholdImageProcess")
boxm2_batch.set_input_from_db(0,img)
boxm2_batch.set_input_float(1,value)
boxm2_batch.set_input_bool(2,threshold_above)
boxm2_batch.run_process()
(id,type) = boxm2_batch.commit_output(0)
mask = dbvalue(id,type)
return mask
def fuse_beliefs(image1,image2,atomicity):
boxm2_batch.init_process("bslFusionProcess")
boxm2_batch.set_input_from_db(0,image1)
boxm2_batch.set_input_from_db(1,image2)
boxm2_batch.set_input_float(2,atomicity)
boxm2_batch.run_process()
(id,type) = boxm2_batch.commit_output(0)
fused_image = dbvalue(id,type)
return fused_image
def init_float_img(ni, nj, val):
boxm2_batch.init_process("vilInitFloatImageProcess")
boxm2_batch.set_input_unsigned(0, ni)
boxm2_batch.set_input_unsigned(1, nj)
boxm2_batch.set_input_float(2, val)
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
img_out = dbvalue(id, type)
return img_out
def fuse_beliefs(image1, image2, atomicity):
boxm2_batch.init_process("bslFusionProcess")
boxm2_batch.set_input_from_db(0, image1)
boxm2_batch.set_input_from_db(1, image2)
boxm2_batch.set_input_float(2, atomicity)
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
fused_image = dbvalue(id, type)
return fused_image
def visualize_change(change_img, in_img, thresh=.5):
boxm2_batch.init_process("boxm2OclVisualizeChangeProcess")
boxm2_batch.set_input_from_db(0, change_img)
boxm2_batch.set_input_from_db(1, in_img)
boxm2_batch.set_input_float(2, thresh)
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
vis_img = dbvalue(id, type)
return vis_img
def rotate_perspective_camera(cam_in, theta, phi):
boxm2_batch.init_process('vpglRotatePerspCamProcess')
boxm2_batch.set_input_from_db(0, cam_in)
boxm2_batch.set_input_float(1, theta)
boxm2_batch.set_input_float(2, phi)
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
rot_cam = dbvalue(id, type)
return rot_cam
def rotate_perspective_camera(cam_in, theta, phi):
boxm2_batch.init_process('vpglRotatePerspCamProcess');
boxm2_batch.set_input_from_db(0,cam_in);
boxm2_batch.set_input_float(1,theta);
boxm2_batch.set_input_float(2,phi);
boxm2_batch.run_process();
(id,type) = boxm2_batch.commit_output(0);
rot_cam = dbvalue(id,type);
return rot_cam;
def gen_error_point_cloud(scene, cache, filename, thresh=0.3):
boxm2_batch.init_process("boxm2ExportErrorPointCloudProcess")
boxm2_batch.set_input_from_db(0, scene)
boxm2_batch.set_input_from_db(1, cache)
boxm2_batch.set_input_string(2, filename)
#ply filename
boxm2_batch.set_input_float(3, thresh)
#prob threshold
boxm2_batch.run_process()
def apply_filters_cpp(scene, cpp_cache, prob_thres, filter_basename, filter_id, octree_lvl):
boxm2_batch.init_process("boxm2CppFilterResponseProcess");
boxm2_batch.set_input_from_db(0,scene);
boxm2_batch.set_input_from_db(1,cpp_cache);
boxm2_batch.set_input_float(2, prob_thres);
boxm2_batch.set_input_string(3, filter_basename);
boxm2_batch.set_input_unsigned(4, filter_id); #id kernel --> read the kernel from filter_basename + str(filter_id) + ".txt"
boxm2_batch.set_input_unsigned(5, octree_lvl); #octree level to run kernel
boxm2_batch.run_process();
def threshold_image(img, value, threshold_above=True):
boxm2_batch.init_process("vilThresholdImageProcess")
boxm2_batch.set_input_from_db(0, img)
boxm2_batch.set_input_float(1, value)
boxm2_batch.set_input_bool(2, threshold_above)
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
mask = dbvalue(id, type)
return mask
def truncate_image(img, min_value, max_value):
boxm2_batch.init_process("vilTruncateImageProcess")
boxm2_batch.set_input_from_db(0, img)
boxm2_batch.set_input_float(1, min_value)
boxm2_batch.set_input_float(2, max_value)
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
img_out = dbvalue(id, type)
return img_out
def truncate_image(img, min_value, max_value):
boxm2_batch.init_process("vilTruncateImageProcess")
boxm2_batch.set_input_from_db(0, img)
boxm2_batch.set_input_float(1, min_value)
boxm2_batch.set_input_float(2, max_value)
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
img_out = dbvalue(id, type)
return img_out
def save_sun_index(output_file_name, longitude, latitude, year, hour, minute, radius):
boxm2_batch.init_process("bradSaveSunIndexProcess");
boxm2_batch.set_input_string(0,output_file_name);
boxm2_batch.set_input_float(1, longitude);
boxm2_batch.set_input_float(2, latitude);
boxm2_batch.set_input_int(3,year);
boxm2_batch.set_input_int(4,hour);
boxm2_batch.set_input_int(5,minute);
boxm2_batch.set_input_int(6,radius);
boxm2_batch.run_process();
def estimate_atmospheric_parameters(image, metadata, mean_reflectance=None):
boxm2_batch.init_process("bradEstimateAtmosphericParametersProcess")
boxm2_batch.set_input_from_db(0, image)
boxm2_batch.set_input_from_db(1, metadata)
if mean_reflectance != None:
boxm2_batch.set_input_float(2, mean_reflectance)
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
atm_params = dbvalue(id, type)
return atm_params
def write_perspective_cam_vrml(vrml_filename, pcam, camera_rad, axis_length, r, g, b):
boxm2_batch.init_process("bvrmlWritePerspectiveCamProcess");
boxm2_batch.set_input_string(0,vrml_filename);
boxm2_batch.set_input_from_db(1,pcam);
boxm2_batch.set_input_float(2,camera_rad);
boxm2_batch.set_input_float(3,axis_length);
boxm2_batch.set_input_float(4,r);
boxm2_batch.set_input_float(5,g);
boxm2_batch.set_input_float(6,b);
boxm2_batch.run_process();
def write_perspective_cam_vrml(vrml_filename, pcam, camera_rad, axis_length, r, g, b):
boxm2_batch.init_process("bvrmlWritePerspectiveCamProcess");
boxm2_batch.set_input_string(0,vrml_filename);
boxm2_batch.set_input_from_db(1,pcam);
boxm2_batch.set_input_float(2,camera_rad);
boxm2_batch.set_input_float(3,axis_length);
boxm2_batch.set_input_float(4,r);
boxm2_batch.set_input_float(5,g);
boxm2_batch.set_input_float(6,b);
boxm2_batch.run_process();
def threshold_image_inside(img, min_thres, max_thres, threshold_inside=True):
boxm2_batch.init_process("vilThresholdImageInsideProcess")
boxm2_batch.set_input_from_db(0, img)
boxm2_batch.set_input_float(1, min_thres)
boxm2_batch.set_input_float(2, max_thres)
boxm2_batch.set_input_bool(3, threshold_inside)
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
mask = dbvalue(id, type)
return mask
def extract_cell_centers(scene, cache, prob_thresh=0.0):
if cache.type == "boxm2_cache_sptr" :
boxm2_batch.init_process("boxm2ExtractPointCloudProcess");
boxm2_batch.set_input_from_db(0,scene);
boxm2_batch.set_input_from_db(1,cache);
boxm2_batch.set_input_float(2,prob_thresh); #prob t
return boxm2_batch.run_process();
else :
print "ERROR: Cache type not recognized: ", cache.type;
return False;
def init_float_img(ni, nj, np, val):
boxm2_batch.init_process("vilInitFloatImageProcess")
boxm2_batch.set_input_unsigned(0, ni)
boxm2_batch.set_input_unsigned(1, nj)
boxm2_batch.set_input_unsigned(2, np)
boxm2_batch.set_input_float(3, val)
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
img_out = dbvalue(id, type)
return img_out
def estimate_atmospheric_parameters(image, metadata, mean_reflectance=None):
boxm2_batch.init_process("bradEstimateAtmosphericParametersProcess")
boxm2_batch.set_input_from_db(0, image)
boxm2_batch.set_input_from_db(1, metadata)
if mean_reflectance != None:
boxm2_batch.set_input_float(2, mean_reflectance)
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
atm_params = dbvalue(id, type)
return atm_params
def stretch_image(img, min_value, max_value, output_type_str='float'):
boxm2_batch.init_process("vilStretchImageProcess")
boxm2_batch.set_input_from_db(0, img)
boxm2_batch.set_input_float(1, min_value)
boxm2_batch.set_input_float(2, max_value)
boxm2_batch.set_input_string(3, output_type_str)
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
img_out = dbvalue(id, type)
return img_out
def extract_cell_centers(scene, cache, prob_thresh=0.0):
if cache.type == "boxm2_cache_sptr":
boxm2_batch.init_process("boxm2ExtractPointCloudProcess")
boxm2_batch.set_input_from_db(0, scene)
boxm2_batch.set_input_from_db(1, cache)
boxm2_batch.set_input_float(2, prob_thresh) # prob t
return boxm2_batch.run_process()
else:
print "ERROR: Cache type not recognized: ", cache.type
return False
def stretch_image(img, min_value, max_value, output_type_str='float'):
boxm2_batch.init_process("vilStretchImageProcess")
boxm2_batch.set_input_from_db(0, img)
boxm2_batch.set_input_float(1, min_value)
boxm2_batch.set_input_float(2, max_value)
boxm2_batch.set_input_string(3, output_type_str)
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
img_out = dbvalue(id, type)
return img_out
def threshold_image_inside(img, min_thres, max_thres, threshold_inside=True):
boxm2_batch.init_process("vilThresholdImageInsideProcess")
boxm2_batch.set_input_from_db(0, img)
boxm2_batch.set_input_float(1, min_thres)
boxm2_batch.set_input_float(2, max_thres)
boxm2_batch.set_input_bool(3, threshold_inside)
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
mask = dbvalue(id, type)
return mask
def blob_change_detection(change_img, thresh, depth1=None, depth2=None):
boxm2_batch.init_process("boxm2BlobChangeDetectionProcess")
boxm2_batch.set_input_from_db(0, change_img)
boxm2_batch.set_input_float(1, thresh)
if (depth1 and depth2):
boxm2_batch.set_input_from_db(2, depth1)
boxm2_batch.set_input_from_db(3, depth2)
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
blobImg = dbvalue(id, type)
return blobImg
def create_stream_cache(scene, type_id_fname, image_id_fname, mem=2.0):
boxm2_batch.init_process("boxm2CreateStreamCacheProcess")
boxm2_batch.set_input_from_db(0, scene)
boxm2_batch.set_input_string(1, type_id_fname)
boxm2_batch.set_input_string(2, image_id_fname)
boxm2_batch.set_input_float(3, mem)
#number of gigabytes available for stream cache
boxm2_batch.run_process()
(cache_id, cache_type) = boxm2_batch.commit_output(0)
strcache = dbvalue(cache_id, cache_type)
return strcache
def save_sun_index(output_file_name, longitude, latitude, year, hour, minute,
radius):
boxm2_batch.init_process("bradSaveSunIndexProcess")
boxm2_batch.set_input_string(0, output_file_name)
boxm2_batch.set_input_float(1, longitude)
boxm2_batch.set_input_float(2, latitude)
boxm2_batch.set_input_int(3, year)
boxm2_batch.set_input_int(4, hour)
boxm2_batch.set_input_int(5, minute)
boxm2_batch.set_input_int(6, radius)
boxm2_batch.run_process()
def apply_filters_cpp(scene, cpp_cache, prob_thres, filter_basename, filter_id,
octree_lvl):
boxm2_batch.init_process("boxm2CppFilterResponseProcess")
boxm2_batch.set_input_from_db(0, scene)
boxm2_batch.set_input_from_db(1, cpp_cache)
boxm2_batch.set_input_float(2, prob_thres)
boxm2_batch.set_input_string(3, filter_basename)
boxm2_batch.set_input_unsigned(4, filter_id)
#id kernel --> read the kernel from filter_basename + str(filter_id) + ".txt"
boxm2_batch.set_input_unsigned(5, octree_lvl)
#octree level to run kernel
boxm2_batch.run_process()
def create_perspective_camera_with_rot(pcam, phi, theta, cent_x, cent_y, cent_z):
boxm2_batch.init_process("vpglCreatePerspectiveCameraProcess3");
boxm2_batch.set_input_from_db(0, pcam);
boxm2_batch.set_input_float(1, phi);
boxm2_batch.set_input_float(2, theta);
boxm2_batch.set_input_float(3, cent_x);
boxm2_batch.set_input_float(4, cent_y);
boxm2_batch.set_input_float(5, cent_z);
boxm2_batch.run_process();
(c_id,c_type) = boxm2_batch.commit_output(0);
cam = dbvalue(c_id,c_type);
return cam;
def gen_oriented_point_cloud(scene,cache,prob_t, norm_mag_t, filename):
boxm2_batch.init_process("boxm2CppComputeDerivativeProcesses");
boxm2_batch.set_input_from_db(0,scene);
boxm2_batch.set_input_from_db(1,cache);
boxm2_batch.set_input_float(2,prob_t);
boxm2_batch.set_input_float(3,norm_mag_t);
boxm2_batch.init_process("boxm2ExportOrientedPointCloudProcess");
boxm2_batch.set_input_from_db(0,scene);
boxm2_batch.set_input_from_db(1,cache);
boxm2_batch.set_input_string(2,filename);
boxm2_batch.run_process();
def estimate_irradiance(image, sun_z, mean_albedo=1.0):
boxm2_batch.init_process('bbasEstimateIrradianceProcess')
boxm2_batch.set_input_from_db(0,image)
boxm2_batch.set_input_float(1,sun_z)
boxm2_batch.set_input_float(2,mean_albedo)
boxm2_batch.run_process()
(id,type) = boxm2_batch.commit_output(0)
img_float = dbvalue(id,type)
(id,type) = boxm2_batch.commit_output(1)
irrad = boxm2_batch.get_output_float(id)
boxm2_batch.remove_data(id)
return(img_float, irrad)
def estimate_irradiance(image, sun_z, mean_albedo=1.0):
boxm2_batch.init_process('bbasEstimateIrradianceProcess')
boxm2_batch.set_input_from_db(0, image)
boxm2_batch.set_input_float(1, sun_z)
boxm2_batch.set_input_float(2, mean_albedo)
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
img_float = dbvalue(id, type)
(id, type) = boxm2_batch.commit_output(1)
irrad = boxm2_batch.get_output_float(id)
boxm2_batch.remove_data(id)
return (img_float, irrad)
def vrml_filter_ply(vrml_filename,
ply_file,
points_file,
dist_threshold,
nearest=False):
boxm2_batch.init_process("bvrmlFilteredPlyProcess")
boxm2_batch.set_input_string(0, vrml_filename)
boxm2_batch.set_input_string(1, ply_file)
boxm2_batch.set_input_string(2, points_file)
boxm2_batch.set_input_float(3, dist_threshold)
boxm2_batch.set_input_bool(4, nearest)
boxm2_batch.run_process()
def segment_image(img, weight_thres, margin=0, min_size=50, sigma=1,neigh=8):
boxm2_batch.init_process("sdetSegmentImageProcess");
boxm2_batch.set_input_from_db(0,img);
boxm2_batch.set_input_int(1,margin);
boxm2_batch.set_input_int(2,neigh);
boxm2_batch.set_input_float(3,weight_thres);
boxm2_batch.set_input_float(4,sigma);
boxm2_batch.set_input_int(5,min_size);
boxm2_batch.run_process();
(id, type) = boxm2_batch.commit_output(0);
seg_img = dbvalue(id, type);
return seg_img
def blobwise_kl_div(p_img, q_img, blob_img, thresh=.1) :
boxm2_batch.init_process("bripBlobwiseKLDivProcess")
boxm2_batch.set_input_from_db(0, p_img);
boxm2_batch.set_input_from_db(1, q_img);
boxm2_batch.set_input_from_db(2, blob_img);
boxm2_batch.set_input_float(3, thresh);
boxm2_batch.run_process();
(id,type) = boxm2_batch.commit_output(0);
kl_img = dbvalue(id,type);
(id,type) = boxm2_batch.commit_output(1);
thresh_img = dbvalue(id,type);
return kl_img, thresh_img;
def detect_shadow_ridge(region_img, blob_size_t, sun_angle):
boxm2_batch.init_process("vilShadowRidgeDetectionProcess")
boxm2_batch.set_input_from_db(0, region_img)
boxm2_batch.set_input_int(1, blob_size_t)
boxm2_batch.set_input_float(2, sun_angle)
boxm2_batch.run_process()
(o_id, o_type) = boxm2_batch.commit_output(0)
region_img = dbvalue(o_id, o_type)
(o_id, o_type) = boxm2_batch.commit_output(1)
out_img = dbvalue(o_id, o_type)
(o_id, o_type) = boxm2_batch.commit_output(2)
dist_img = dbvalue(o_id, o_type)
return region_img, out_img, dist_img
def convert_local_rational_to_generic(cam_in, ni, nj, min_z, max_z, level=0):
boxm2_batch.init_process('vpglConvertLocalRationalToGenericProcess');
boxm2_batch.set_input_from_db(0,cam_in);
boxm2_batch.set_input_unsigned(1,ni);
boxm2_batch.set_input_unsigned(2,nj);
boxm2_batch.set_input_float(3,min_z);
boxm2_batch.set_input_float(4,max_z);
boxm2_batch.set_input_unsigned(5,level);
if not boxm2_batch.run_process():
return None;
(id,type) = boxm2_batch.commit_output(0);
generic_cam = dbvalue(id,type);
return generic_cam;
def perturb_camera(cam_in, angle, rng):
boxm2_batch.init_process('vpglPerturbPerspCamOrientProcess');
boxm2_batch.set_input_from_db(0,cam_in);
boxm2_batch.set_input_float(1,angle);
boxm2_batch.set_input_from_db(2,rng);
boxm2_batch.run_process();
(id,type) = boxm2_batch.commit_output(0);
pert_cam = dbvalue(id,type);
(theta_id,type) = boxm2_batch.commit_output(1);
(phi_id,type) = boxm2_batch.commit_output(2);
theta = boxm2_batch.get_output_float(theta_id);
phi = boxm2_batch.get_output_float(phi_id);
return pert_cam, theta, phi;
def get_backprojected_ray( cam,u,v):
boxm2_batch.init_process("vpglGetBackprojectRayProcess");
boxm2_batch.set_input_from_db(0, cam);
boxm2_batch.set_input_float(1, u);
boxm2_batch.set_input_float(2, v);
boxm2_batch.run_process();
(id, type) = boxm2_batch.commit_output(0);
x=boxm2_batch.get_output_float(id);
(id, type) = boxm2_batch.commit_output(1);
y=boxm2_batch.get_output_float(id);
(id, type) = boxm2_batch.commit_output(2);
z=boxm2_batch.get_output_float(id);
return x,y,z;
def perturb_camera_uniform(cam_in, angle, rng):
boxm2_batch.init_process('vpglPerturbUniformPerspCamOrientProcess')
boxm2_batch.set_input_from_db(0,cam_in)
boxm2_batch.set_input_float(1,angle)
boxm2_batch.set_input_from_db(2,rng)
boxm2_batch.run_process()
(id,type) = boxm2_batch.commit_output(0)
pert_cam = dbvalue(id,type)
(theta_id,type) = boxm2_batch.commit_output(1)
(phi_id,type) = boxm2_batch.commit_output(2)
theta = boxm2_batch.get_output_float(theta_id);
phi = boxm2_batch.get_output_float(phi_id);
return pert_cam, theta, phi
