def read_CLIF07(indir, outdir, camnum, datatype="CLIF06"):
boxm2_batch.init_process("bilReadCLIF07DataProcess")
boxm2_batch.set_input_string(0, indir)
boxm2_batch.set_input_string(1, outdir)
boxm2_batch.set_input_int(2, camnum)
boxm2_batch.set_input_string(3, datatype)
boxm2_batch.run_process()
def read_CLIF07(indir, outdir, camnum, datatype="CLIF06"):
boxm2_batch.init_process("bilReadCLIF07DataProcess")
boxm2_batch.set_input_string(0, indir)
boxm2_batch.set_input_string(1, outdir)
boxm2_batch.set_input_int(2, camnum)
boxm2_batch.set_input_string(3, datatype)
boxm2_batch.run_process()
def roi_init(NITF_path,
camera,
scene,
convert_to_8bit,
params_fname,
margin=0):
boxm2_batch.init_process("boxm2RoiInitProcess")
boxm2_batch.set_params_process(params_fname)
boxm2_batch.set_input_string(0, NITF_path)
boxm2_batch.set_input_from_db(1, camera)
boxm2_batch.set_input_from_db(2, scene)
boxm2_batch.set_input_bool(3, convert_to_8bit)
boxm2_batch.set_input_int(4, margin)
result = boxm2_batch.run_process()
if result:
(id, type) = boxm2_batch.commit_output(0)
local_cam = dbvalue(id, type)
(id, type) = boxm2_batch.commit_output(1)
cropped_image = dbvalue(id, type)
(id, type) = boxm2_batch.commit_output(2)
uncertainty = boxm2_batch.get_output_float(id)
else:
local_cam = 0
cropped_image = 0
uncertainty = 0
return result, local_cam, cropped_image, uncertainty
def median_filter_image(img, neighborhood_radius):
boxm2_batch.init_process("vilMedianFilterProcess")
boxm2_batch.set_input_from_db(0, img)
boxm2_batch.set_input_int(1, neighborhood_radius)
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
filt_img = dbvalue(id, type)
return filt_img
def median_filter_image(img, neighborhood_radius):
boxm2_batch.init_process("vilMedianFilterProcess")
boxm2_batch.set_input_from_db(0, img)
boxm2_batch.set_input_int(1, neighborhood_radius)
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
filt_img = dbvalue(id, type)
return filt_img
def pixel(img, point):
boxm2_batch.init_process("vilPixelValueProcess")
boxm2_batch.set_input_from_db(0, img)
boxm2_batch.set_input_int(1, int(point[0]))
boxm2_batch.set_input_int(2, int(point[1]))
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
val = boxm2_batch.get_output_float(id)
return val
def undistort_image(img, param_file, iters):
boxm2_batch.init_process("vilUndistortImageProcess")
boxm2_batch.set_input_from_db(0, img)
boxm2_batch.set_input_string(1, param_file)
boxm2_batch.set_input_int(2, iters)
boxm2_batch.run_process()
(o_id, o_type) = boxm2_batch.commit_output(0)
out_img = dbvalue(o_id, o_type)
return out_img
def undistort_image(img, param_file, iters):
boxm2_batch.init_process("vilUndistortImageProcess")
boxm2_batch.set_input_from_db(0, img)
boxm2_batch.set_input_string(1, param_file)
boxm2_batch.set_input_int(2, iters)
boxm2_batch.run_process()
(o_id, o_type) = boxm2_batch.commit_output(0)
out_img = dbvalue(o_id, o_type)
return out_img
def pixel(img, point):
boxm2_batch.init_process("vilPixelValueProcess")
boxm2_batch.set_input_from_db(0,img)
boxm2_batch.set_input_int(1, int(point[0]))
boxm2_batch.set_input_int(2, int(point[1]))
boxm2_batch.run_process()
(id,type) = boxm2_batch.commit_output(0)
val = boxm2_batch.get_output_float(id)
return val
def resize(img, ni, nj, pixel="float"):
boxm2_batch.init_process("vilResampleProcess")
boxm2_batch.set_input_from_db(0, img)
boxm2_batch.set_input_int(1, ni)
boxm2_batch.set_input_int(2, nj)
boxm2_batch.set_input_string(3, pixel)
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
img = dbvalue(id, type)
return img
def load_geotiff_cam(tfw_filename, lvcs, utm_zone, utm_hemisphere):
boxm2_batch.init_process("vpglLoadGeoCameraProcess")
boxm2_batch.set_input_string(0, tfw_filename)
boxm2_batch.set_input_from_db(1, lvcs)
boxm2_batch.set_input_int(2, utm_zone)
boxm2_batch.set_input_unsigned(3, utm_hemisphere)
boxm2_batch.run_process()
(c_id, c_type) = boxm2_batch.commit_output(0)
cam = dbvalue(c_id, c_type)
return cam
def load_geotiff_cam(tfw_filename, lvcs, utm_zone, utm_hemisphere):
boxm2_batch.init_process("vpglLoadGeoCameraProcess");
boxm2_batch.set_input_string(0, tfw_filename);
boxm2_batch.set_input_from_db(1, lvcs);
boxm2_batch.set_input_int(2, utm_zone);
boxm2_batch.set_input_unsigned(3, utm_hemisphere);
boxm2_batch.run_process()
(c_id,c_type) = boxm2_batch.commit_output(0)
cam = dbvalue(c_id,c_type);
return cam
def compute_mi_cost_surface(img0, img0_mask, img1, search_radius):
boxm2_batch.init_process('ihogComputeMiCostSurfaceProcess')
boxm2_batch.set_input_from_db(0,img0)
boxm2_batch.set_input_from_db(1,img0_mask)
boxm2_batch.set_input_from_db(2,img1)
boxm2_batch.set_input_int(3,search_radius)
boxm2_batch.run_process()
(id,type) = boxm2_batch.commit_output(0)
cost_image = dbvalue(id,type)
return cost_image
def resize(img, ni, nj, pixel="float"):
boxm2_batch.init_process("vilResampleProcess")
boxm2_batch.set_input_from_db(0, img)
boxm2_batch.set_input_int(1, ni)
boxm2_batch.set_input_int(2, nj)
boxm2_batch.set_input_string(3, pixel)
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
img = dbvalue(id, type)
return img
def update_PusingQ(scene,device,opencl_cache,operation = 2,view_ident=""):
#print("Init Manager");
boxm2_batch.init_process("boxm2OclUpdateUsingQProcess");
boxm2_batch.set_input_from_db(0, device);
boxm2_batch.set_input_from_db(1, scene);
boxm2_batch.set_input_from_db(2, opencl_cache);
boxm2_batch.set_input_int(3, operation);
boxm2_batch.set_input_string(4, view_ident);
status = boxm2_batch.run_process();
if(status != True):
print "Error in Running Aux Q ";
def register_translational(img0, img0_mask, img1, search_radius=0):
boxm2_batch.init_process('ihogRegisterTranslationalProcess')
boxm2_batch.set_input_from_db(0,img0)
boxm2_batch.set_input_from_db(1,img0_mask)
boxm2_batch.set_input_from_db(2,img1)
boxm2_batch.set_input_int(3,search_radius)
boxm2_batch.run_process()
(id,type) = boxm2_batch.commit_output(0)
trans_x = boxm2_batch.get_output_double(id)
(id,type) = boxm2_batch.commit_output(1)
trans_y = boxm2_batch.get_output_double(id)
return (trans_x, trans_y)
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 load_multi_cache(scene, numdevices=1):
###############################################################
# Create multi cache, opencl manager, device, and gpu cache
###############################################################
#print("Create Main Cache");
boxm2_batch.init_process("boxm2CreateMultiCacheProcess")
boxm2_batch.set_input_from_db(0, scene)
boxm2_batch.set_input_int(1, numdevices)
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
mcache = dbvalue(id, type)
return mcache
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 filter_scene_data(scene, cache, device, filters, filter_idx):
if cache.type == "boxm2_opencl_cache_sptr":
print("Filtering Scene Data")
boxm2_batch.init_process("boxm2_ocl_filter_scene_data_process")
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, filters)
boxm2_batch.set_input_int(4, filter_idx)
return boxm2_batch.run_process()
else:
print "ERROR: Cache type not recognized: ", cache.type
return False
def filter_scene_data(scene, cache, device, filters, filter_idx):
if cache.type == "boxm2_opencl_cache_sptr":
print("Filtering Scene Data")
boxm2_batch.init_process("boxm2_ocl_filter_scene_data_process")
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, filters)
boxm2_batch.set_input_int(4, filter_idx)
return boxm2_batch.run_process()
else:
print "ERROR: Cache type not recognized: ", cache.type
return False
def get_3d_point_from_index(scene, cache, block_index, index):
#Warning, you probably shouldn't be doing this!
boxm2_batch.init_process("boxm2CppGet3dPointFromIndexProcess")
boxm2_batch.set_input_from_db(0, scene)
boxm2_batch.set_input_from_db(1, cache)
boxm2_batch.set_input_int(2, block_index[0])
boxm2_batch.set_input_int(3, block_index[1])
boxm2_batch.set_input_int(4, block_index[2])
boxm2_batch.set_input_int(5, index)
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
x = boxm2_batch.get_output_float(id)
boxm2_batch.remove_data(id)
(id, type) = boxm2_batch.commit_output(1)
y = boxm2_batch.get_output_float(id)
boxm2_batch.remove_data(id)
(id, type) = boxm2_batch.commit_output(2)
z = boxm2_batch.get_output_float(id)
boxm2_batch.remove_data(id)
(id, type) = boxm2_batch.commit_output(3)
xs = boxm2_batch.get_output_float(id)
boxm2_batch.remove_data(id)
(id, type) = boxm2_batch.commit_output(4)
ys = boxm2_batch.get_output_float(id)
boxm2_batch.remove_data(id)
(id, type) = boxm2_batch.commit_output(5)
zs = boxm2_batch.get_output_float(id)
boxm2_batch.remove_data(id)
(id, type) = boxm2_batch.commit_output(6)
leaf = boxm2_batch.get_output_int(id)
boxm2_batch.remove_data(id)
return ((x, y, z), (xs, ys, zs), leaf)
def get_3d_point_from_index(scene,cache,block_index, index):
#Warning, you probably shouldn't be doing this!
boxm2_batch.init_process("boxm2CppGet3dPointFromIndexProcess");
boxm2_batch.set_input_from_db(0, scene);
boxm2_batch.set_input_from_db(1, cache);
boxm2_batch.set_input_int(2, block_index[0]);
boxm2_batch.set_input_int(3, block_index[1]);
boxm2_batch.set_input_int(4, block_index[2]);
boxm2_batch.set_input_int(5, index);
boxm2_batch.run_process();
(id,type) = boxm2_batch.commit_output(0);
x=boxm2_batch.get_output_float(id);
boxm2_batch.remove_data(id);
(id,type) = boxm2_batch.commit_output(1);
y=boxm2_batch.get_output_float(id);
boxm2_batch.remove_data(id);
(id,type) = boxm2_batch.commit_output(2);
z=boxm2_batch.get_output_float(id);
boxm2_batch.remove_data(id);
(id,type) = boxm2_batch.commit_output(3);
xs=boxm2_batch.get_output_float(id);
boxm2_batch.remove_data(id);
(id,type) = boxm2_batch.commit_output(4);
ys=boxm2_batch.get_output_float(id);
boxm2_batch.remove_data(id);
(id,type) = boxm2_batch.commit_output(5);
zs=boxm2_batch.get_output_float(id);
boxm2_batch.remove_data(id);
(id,type) = boxm2_batch.commit_output(6);
leaf=boxm2_batch.get_output_int(id);
boxm2_batch.remove_data(id);
return ((x, y, z), (xs, ys, zs), leaf)
def persp2genWmargin(pcam, ni, nj, margin, level=0):
boxm2_batch.init_process("vpglConvertToGenericCameraWithMarginProcess")
boxm2_batch.set_input_from_db(0, pcam)
boxm2_batch.set_input_unsigned(1, ni)
boxm2_batch.set_input_unsigned(2, nj)
boxm2_batch.set_input_unsigned(3, level)
boxm2_batch.set_input_int(4, margin)
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
gcam = dbvalue(id, type)
(id, type) = boxm2_batch.commit_output(1)
ni = boxm2_batch.get_output_unsigned(id)
(id, type) = boxm2_batch.commit_output(2)
nj = boxm2_batch.get_output_unsigned(id)
(id, type) = boxm2_batch.commit_output(3)
new_pers_cam = dbvalue(id, type)
return (gcam, ni, nj, new_pers_cam)
def persp2genWmargin(pcam, ni, nj, margin, level=0) :
boxm2_batch.init_process("vpglConvertToGenericCameraWithMarginProcess");
boxm2_batch.set_input_from_db(0, pcam);
boxm2_batch.set_input_unsigned(1, ni);
boxm2_batch.set_input_unsigned(2, nj);
boxm2_batch.set_input_unsigned(3, level);
boxm2_batch.set_input_int(4, margin);
boxm2_batch.run_process();
(id,type) = boxm2_batch.commit_output(0);
gcam = dbvalue(id,type);
(id,type) = boxm2_batch.commit_output(1);
ni = boxm2_batch.get_output_unsigned(id);
(id,type) = boxm2_batch.commit_output(2);
nj = boxm2_batch.get_output_unsigned(id);
(id,type) = boxm2_batch.commit_output(3);
new_pers_cam = dbvalue(id,type);
return (gcam, ni, nj, new_pers_cam);
def get_sun_angles_date_time(lat, lon, year, month, day, hour, minute):
boxm2_batch.init_process("bradGetSunAnglesDateTimeProcess")
boxm2_batch.set_input_float(0,lat)
boxm2_batch.set_input_float(1,lon)
boxm2_batch.set_input_int(2,year)
boxm2_batch.set_input_int(3,month)
boxm2_batch.set_input_int(4,day)
boxm2_batch.set_input_int(5,hour)
boxm2_batch.set_input_int(6,minute)
boxm2_batch.run_process()
(id,type) = boxm2_batch.commit_output(0)
sun_az = boxm2_batch.get_output_float(id)
boxm2_batch.remove_data(id)
(id,type) = boxm2_batch.commit_output(1)
sun_el = boxm2_batch.get_output_float(id)
boxm2_batch.remove_data(id)
return sun_az, sun_el
def get_sun_angles_date_time(lat, lon, year, month, day, hour, minute):
boxm2_batch.init_process("bradGetSunAnglesDateTimeProcess")
boxm2_batch.set_input_float(0, lat)
boxm2_batch.set_input_float(1, lon)
boxm2_batch.set_input_int(2, year)
boxm2_batch.set_input_int(3, month)
boxm2_batch.set_input_int(4, day)
boxm2_batch.set_input_int(5, hour)
boxm2_batch.set_input_int(6, minute)
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
sun_az = boxm2_batch.get_output_float(id)
boxm2_batch.remove_data(id)
(id, type) = boxm2_batch.commit_output(1)
sun_el = boxm2_batch.get_output_float(id)
boxm2_batch.remove_data(id)
return sun_az, sun_el
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 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 change_detect(scene,
cache,
cam,
img,
exp_img,
device=None,
rgb=False,
n=1,
raybelief="",
max_mode=False):
if cache.type == "boxm2_cache_sptr":
print "boxm2_batch CPU change detection"
boxm2_batch.init_process("boxm2CppChangeDetectionProcess")
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)
boxm2_batch.set_input_from_db(4, exp_img)
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
cd_img = dbvalue(id, type)
return cd_img
elif cache.type == "boxm2_opencl_cache_sptr" and device:
print "boxm2_batch GPU change detection"
boxm2_batch.init_process("boxm2OclChangeDetectionProcess")
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_from_db(5, exp_img)
boxm2_batch.set_input_int(6, n)
boxm2_batch.set_input_string(7, raybelief)
boxm2_batch.set_input_bool(8, max_mode)
boxm2_batch.run_process()
if not rgb:
(id, type) = boxm2_batch.commit_output(0)
cd_img = dbvalue(id, type)
else:
(id, type) = boxm2_batch.commit_output(1)
cd_img = dbvalue(id, type)
return cd_img
else:
print "ERROR: Cache type not recognized: ", cache.type
def resample_perspective_camera( cam, size0, size1 ):
boxm2_batch.init_process("vpglResamplePerspectiveCameraProcess");
boxm2_batch.set_input_from_db(0, cam);
boxm2_batch.set_input_int(1, size0[0]);
boxm2_batch.set_input_int(2, size0[1]);
boxm2_batch.set_input_int(3, size1[0]);
boxm2_batch.set_input_int(4, size1[1]);
boxm2_batch.run_process();
(id,type) = boxm2_batch.commit_output(0);
out = dbvalue(id,type);
return out;
def resample_perspective_camera(cam, size0, size1):
boxm2_batch.init_process("vpglResamplePerspectiveCameraProcess")
boxm2_batch.set_input_from_db(0, cam)
boxm2_batch.set_input_int(1, size0[0])
boxm2_batch.set_input_int(2, size0[1])
boxm2_batch.set_input_int(3, size1[0])
boxm2_batch.set_input_int(4, size1[1])
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
out = dbvalue(id, type)
return out
def persp2genWmargin(pcam, ni, nj, margin, level=0):
boxm2_batch.init_process("vpglConvertToGenericCameraWithMarginProcess")
boxm2_batch.set_input_from_db(0, pcam)
boxm2_batch.set_input_unsigned(1, ni)
boxm2_batch.set_input_unsigned(2, nj)
boxm2_batch.set_input_unsigned(3, level)
boxm2_batch.set_input_int(4, margin)
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
gcam = dbvalue(id, type)
(id, type) = boxm2_batch.commit_output(1)
ni = boxm2_batch.get_output_unsigned(id)
boxm2_batch.remove_data(id)
(id, type) = boxm2_batch.commit_output(2)
nj = boxm2_batch.get_output_unsigned(id)
boxm2_batch.remove_data(id)
(id, type) = boxm2_batch.commit_output(3)
new_pers_cam = dbvalue(id, type)
return (gcam, ni, nj, new_pers_cam)
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 create_scene_and_blocks(scene_dir,
app_model,
obs_model,
lon1,
lat1,
elev1,
lon2,
lat2,
elev2,
vox_size,
block_len_xy,
block_len_z,
num_bins=0,
xml_name="scene"):
boxm2_batch.init_process("boxm2CreateSceneAndBlocksProcess")
boxm2_batch.set_input_string(0, scene_dir)
boxm2_batch.set_input_string(1, app_model)
boxm2_batch.set_input_string(2, obs_model)
boxm2_batch.set_input_float(3, lon1)
boxm2_batch.set_input_float(4, lat1)
boxm2_batch.set_input_float(5, elev1)
boxm2_batch.set_input_float(6, lon2)
boxm2_batch.set_input_float(7, lat2)
boxm2_batch.set_input_float(8, elev2)
boxm2_batch.set_input_float(9, vox_size)
boxm2_batch.set_input_float(10, block_len_xy)
boxm2_batch.set_input_float(11, block_len_z)
boxm2_batch.set_input_int(12, num_bins)
boxm2_batch.run_process()
(scene_id, scene_type) = boxm2_batch.commit_output(0)
scene = dbvalue(scene_id, scene_type)
print("Write Scene")
boxm2_batch.init_process("boxm2WriteSceneXMLProcess")
boxm2_batch.set_input_from_db(0, scene)
boxm2_batch.set_input_string(1, xml_name)
boxm2_batch.run_process()
def geo2generic(geocam, ni, nj, scene_height, level):
boxm2_batch.init_process("vpglConvertGeoCameraToGenericProcess");
boxm2_batch.set_input_from_db(0, geocam);
boxm2_batch.set_input_int(1, ni);
boxm2_batch.set_input_int(2, nj);
boxm2_batch.set_input_double(3, scene_height);
boxm2_batch.set_input_int(4, level);
boxm2_batch.run_process();
(c_id, c_type) = boxm2_batch.commit_output(0);
cam = dbvalue(c_id, c_type);
return cam;
def geo2generic(geocam, ni, nj, scene_height, level):
boxm2_batch.init_process("vpglConvertGeoCameraToGenericProcess")
boxm2_batch.set_input_from_db(0, geocam)
boxm2_batch.set_input_int(1, ni)
boxm2_batch.set_input_int(2, nj)
boxm2_batch.set_input_double(3, scene_height)
boxm2_batch.set_input_int(4, level)
boxm2_batch.run_process()
(c_id, c_type) = boxm2_batch.commit_output(0)
cam = dbvalue(c_id, c_type)
return cam
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 segment_image_using_height(img, height_img, weight_thres, margin=0, min_size=50, sigma=1, neigh=8):
boxm2_batch.init_process("sdetSegmentUsingHeightMapProcess")
boxm2_batch.set_input_from_db(0, img)
boxm2_batch.set_input_from_db(1, height_img)
boxm2_batch.set_input_int(2, margin)
boxm2_batch.set_input_int(3, neigh)
boxm2_batch.set_input_float(4, weight_thres)
boxm2_batch.set_input_float(5, sigma)
boxm2_batch.set_input_int(6, min_size)
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
seg_img = dbvalue(id, type)
return seg_img
def bae_raw_stream(file_path, ni=0, nj=0, pixelsize=0):
boxm2_batch.init_process("bilCreateRawImageIstreamProcess")
boxm2_batch.set_input_string(0, file_path)
boxm2_batch.set_input_int(1, ni)
boxm2_batch.set_input_int(2, nj)
boxm2_batch.set_input_int(3, pixelsize)
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
stream = dbvalue(id, type)
(id, type) = boxm2_batch.commit_output(1)
numImgs = boxm2_batch.get_output_int(id)
boxm2_batch.remove_data(id)
return stream, numImgs
def bae_raw_stream(file_path, ni=0, nj=0, pixelsize=0):
boxm2_batch.init_process("bilCreateRawImageIstreamProcess")
boxm2_batch.set_input_string(0, file_path)
boxm2_batch.set_input_int(1, ni)
boxm2_batch.set_input_int(2, nj)
boxm2_batch.set_input_int(3, pixelsize)
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
stream = dbvalue(id, type)
(id, type) = boxm2_batch.commit_output(1)
numImgs = boxm2_batch.get_output_int(id)
boxm2_batch.remove_data(id)
return stream, numImgs
def segment_image_using_height2(img, height_img, edge_img, weight_thres, margin=0, min_size=50, sigma=1,neigh=8):
boxm2_batch.init_process("sdetSegmentUsingHeightMapProcess2");
boxm2_batch.set_input_from_db(0,img);
boxm2_batch.set_input_from_db(1,height_img);
boxm2_batch.set_input_from_db(2,edge_img);
boxm2_batch.set_input_int(3,margin);
boxm2_batch.set_input_int(4,neigh);
boxm2_batch.set_input_float(5,weight_thres);
boxm2_batch.set_input_float(6,sigma);
boxm2_batch.set_input_int(7,min_size);
boxm2_batch.run_process();
(id, type) = boxm2_batch.commit_output(0);
seg_img = dbvalue(id, type);
return seg_img
def geo2generic_nonnadir(geocam, ni, nj, scene_height, dir_x, dir_y, dir_z, level):
boxm2_batch.init_process("vpglConvertNonNadirGeoCameraToGenericProcess")
boxm2_batch.set_input_from_db(0, geocam)
boxm2_batch.set_input_int(1, ni)
boxm2_batch.set_input_int(2, nj)
boxm2_batch.set_input_double(3, scene_height)
boxm2_batch.set_input_int(4, level)
boxm2_batch.set_input_double(5, dir_x)
boxm2_batch.set_input_double(6, dir_y)
boxm2_batch.set_input_double(7, dir_z)
boxm2_batch.run_process()
(c_id, c_type) = boxm2_batch.commit_output(0)
cam = dbvalue(c_id, c_type)
return cam
def block_similarity(scene, cache, i, j, k, vrml_filename,
feature_sim_variance, entropy_range_min,
entropy_range_max):
boxm2_batch.init_process("boxm2BlockSimilarityProcess")
boxm2_batch.set_input_from_db(0, scene)
boxm2_batch.set_input_from_db(1, cache)
boxm2_batch.set_input_int(2, i)
boxm2_batch.set_input_int(3, j)
boxm2_batch.set_input_int(4, k)
boxm2_batch.set_input_string(5, vrml_filename)
boxm2_batch.set_input_float(6, feature_sim_variance)
boxm2_batch.set_input_float(7, entropy_range_min)
# for visualization
boxm2_batch.set_input_float(8, entropy_range_max)
boxm2_batch.run_process()
def query_cell(scene,cache,point,model_name,model_type):
#Point should be 3 len, for a x, y, z coordinate OR
#4 in lenght, blk_i, blk_j, blk_k, index
if len(point)==3:
(blk, index) = get_index_from_3d_point(scene,cache,point)
point = blk+(index,)
boxm2_batch.init_process("boxm2CppQueryCellProcess");
boxm2_batch.set_input_from_db(0, scene)
boxm2_batch.set_input_from_db(1, cache)
boxm2_batch.set_input_int(2, point[0])
boxm2_batch.set_input_int(3, point[1])
boxm2_batch.set_input_int(4, point[2])
boxm2_batch.set_input_int(5, point[3])
boxm2_batch.set_input_string(6, model_name)
boxm2_batch.set_input_string(7, model_type)
boxm2_batch.run_process();
(id,type) = boxm2_batch.commit_output(0);
data=boxm2_batch.get_bbas_1d_array_float(id);
boxm2_batch.remove_data(id);
return data
def query_cell(scene, cache, point, model_name, model_type):
#Point should be 3 len, for a x, y, z coordinate OR
#4 in lenght, blk_i, blk_j, blk_k, index
if len(point) == 3:
(blk, index) = get_index_from_3d_point(scene, cache, point)
point = blk + (index, )
boxm2_batch.init_process("boxm2CppQueryCellProcess")
boxm2_batch.set_input_from_db(0, scene)
boxm2_batch.set_input_from_db(1, cache)
boxm2_batch.set_input_int(2, point[0])
boxm2_batch.set_input_int(3, point[1])
boxm2_batch.set_input_int(4, point[2])
boxm2_batch.set_input_int(5, point[3])
boxm2_batch.set_input_string(6, model_name)
boxm2_batch.set_input_string(7, model_type)
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
data = boxm2_batch.get_bbas_1d_array_float(id)
boxm2_batch.remove_data(id)
return data
def segment_image_using_height(img,
height_img,
weight_thres,
margin=0,
min_size=50,
sigma=1,
neigh=8):
boxm2_batch.init_process("sdetSegmentUsingHeightMapProcess")
boxm2_batch.set_input_from_db(0, img)
boxm2_batch.set_input_from_db(1, height_img)
boxm2_batch.set_input_int(2, margin)
boxm2_batch.set_input_int(3, neigh)
boxm2_batch.set_input_float(4, weight_thres)
boxm2_batch.set_input_float(5, sigma)
boxm2_batch.set_input_int(6, min_size)
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
seg_img = dbvalue(id, type)
return seg_img
