def create_roi():
""" Attempts to create the region ROI. This places the center of the ROI region """
# """at the midpoint of all of the scale bar markers. """
# """NOTE: This doesn't actually do anything yet."""
x_axis, y_axis, z_axis = 0, 0, 0
for chunk in PhotoScan.app.document.chunks:
if chunk.label == 'Aligned Side A':
x_axis, y_axis, z_axis = 0, 0, 0
num_markers = chunk.markers.__len__()
for marker in chunk.markers:
x_axis += marker.position.x
y_axis += marker.position.y
z_axis += marker.position.z
cent_x = x_axis / num_markers
cent_y = y_axis / num_markers
cent_z = z_axis / num_markers
newregion = PhotoScan.Region()
newregion.size = chunk.region.size
newregion.rot = chunk.region.rot
newregion.center = PhotoScan.Vector([cent_x, cent_y, cent_z])
chunk.region = newregion
def splitChunks(self):
self.gridX = self.spinX.value()
self.gridY = self.spinY.value()
partsX = self.gridX
partsY = self.gridY
print("Script started...")
buildMesh = self.chkMesh.isChecked()
buildDense = self.chkDense.isChecked()
mergeBack = self.chkMerge.isChecked()
autosave = self.chkSave.isChecked()
quality = DENSE[self.denseBox.currentText()]
mesh_mode = MESH[self.meshBox.currentText()]
doc = PhotoScan.app.document
chunk = doc.chunk
if not chunk.transform.translation.norm():
chunk.transform.matrix = chunk.transform.matrix
elif chunk.transform.scale == 1:
chunk.transform.matrix = chunk.transform.matrix
elif isIdent(chunk.transform.rotation):
chunk.transform.matrix = chunk.transform.matrix
region = chunk.region
r_center = region.center
r_rotate = region.rot
r_size = region.size
x_scale = r_size.x / partsX
y_scale = r_size.y / partsY
z_scale = r_size.z
offset = r_center - r_rotate * r_size / 2.
for j in range(1, partsY +
1): # creating new chunks and adjusting bounding box
for i in range(1, partsX + 1):
if not buildDense:
new_chunk = chunk.copy(items=[
PhotoScan.DataSource.DenseCloudData,
PhotoScan.DataSource.DepthMapsData
])
else:
new_chunk = chunk.copy(items=[])
new_chunk.label = "Chunk " + str(i) + "\\" + str(j)
if new_chunk.model:
new_chunk.model.clear()
new_region = PhotoScan.Region()
new_rot = r_rotate
new_center = PhotoScan.Vector([(i - 0.5) * x_scale,
(j - 0.5) * y_scale,
0.5 * z_scale])
new_center = offset + new_rot * new_center
new_size = PhotoScan.Vector([x_scale, y_scale, z_scale])
if self.edtOvp.text().isdigit():
new_region.size = new_size * (
1 + float(self.edtOvp.text()) / 100)
else:
new_region.size = new_size
new_region.center = new_center
new_region.rot = new_rot
new_chunk.region = new_region
PhotoScan.app.update()
if autosave:
doc.save()
if buildDense:
if new_chunk.depth_maps:
reuse_depth = True
if new_chunk.depth_maps.meta['depth/depth_downscale']:
quality = QUALITY[new_chunk.depth_maps.
meta['depth/depth_downscale']]
if new_chunk.depth_maps.meta[
'depth/depth_filter_mode']:
filtering = FILTERING[new_chunk.depth_maps.meta[
'depth/depth_filter_mode']]
try:
new_chunk.buildDepthMaps(quality=quality,
filter=filtering,
reuse_depth=reuse_depth)
new_chunk.buildDenseCloud(
max_neighbors=100) # keep_depth=False
except RuntimeError:
print("Can't build dense cloud for " + chunk.label)
else:
reuse_depth = False
try:
new_chunk.buildDepthMaps(
quality=quality,
filter=PhotoScan.FilterMode.
AggressiveFiltering,
reuse_depth=reuse_depth)
new_chunk.buildDenseCloud(
max_neighbors=100) # keep_depth=False
except RuntimeError:
print("Can't build dense cloud for " + chunk.label)
if autosave:
doc.save()
if buildMesh:
if new_chunk.dense_cloud:
try:
new_chunk.buildModel(
surface=mesh_mode,
source=PhotoScan.DataSource.DenseCloudData,
interpolation=PhotoScan.Interpolation.
EnabledInterpolation,
face_count=PhotoScan.FaceCount.HighFaceCount)
except RuntimeError:
print("Can't build mesh for " + chunk.label)
else:
try:
new_chunk.buildModel(
surface=mesh_mode,
source=PhotoScan.DataSource.PointCloudData,
interpolation=PhotoScan.Interpolation.
EnabledInterpolation,
face_count=PhotoScan.FaceCount.HighFaceCount)
except RuntimeError:
print("Can't build mesh for " + chunk.label)
if autosave:
doc.save()
if not buildDense:
if new_chunk.dense_cloud:
new_chunk.dense_cloud.clear()
if new_chunk.depth_maps:
new_chunk.depth_maps.clear()
# new_chunk = None
if mergeBack:
for i in range(1, len(doc.chunks)):
chunk = doc.chunks[i]
chunk.remove(chunk.cameras)
doc.chunks[
0].model = None # hiding the mesh of the original chunk, just for case
doc.mergeChunks(doc.chunks,
merge_dense_clouds=True,
merge_models=True,
merge_markers=True
) # merging all smaller chunks into single one
doc.remove(doc.chunks[1:-1]) # removing smaller chunks.
if autosave:
doc.save()
if autosave:
doc.save()
print("Script finished!")
return True
def splitChunks(self):
self.gridX = self.spinX.value()
self.gridY = self.spinY.value()
partsX = self.gridX
partsY = self.gridY
print("Script started")
buildMesh = self.chkMesh.isChecked()
buildDense = self.chkDense.isChecked()
mergeBack = self.chkMerge.isChecked()
doc = PhotoScan.app.document
chunk = doc.chunk
region = chunk.region
r_center = region.center
r_rotate = region.rot
r_size = region.size
x_scale = r_size.x / partsX
y_scale = r_size.y / partsY
z_scale = r_size.z
offset = r_center - r_rotate * r_size /2.
for j in range(1, partsY + 1): #creating new chunks and adjusting bounding box
for i in range(1, partsX + 1):
new_chunk = chunk.copy()
new_chunk.label = "Chunk "+ str(i)+ "\\" + str(j)
new_chunk.model = None
doc.addChunk(new_chunk)
new_region = PhotoScan.Region()
new_rot = r_rotate
new_center = PhotoScan.Vector([(i - 0.5) * x_scale, (j - 0.5) * y_scale, 0.5 * z_scale])
new_center = offset + new_rot * new_center
new_size = PhotoScan.Vector([x_scale, y_scale, z_scale])
new_region.size = new_size
new_region.center = new_center
new_region.rot = new_rot
new_chunk.region = new_region
PhotoScan.app.update()
if buildDense:
new_chunk.buildDenseCloud(quality = PhotoScan.Quality.MediumQuality, filter = PhotoScan.FilterMode.AggressiveFiltering)
if buildMesh:
if new_chunk.dense_cloud:
new_chunk.buildModel(surface = PhotoScan.SurfaceType.HeightField, source = PhotoScan.PointsSource.DensePoints, interpolation = PhotoScan.Interpolation.EnabledInterpolation, face_count = PhotoScan.FaceCount.HighFaceCount)
else:
new_chunk.buildModel(surface = PhotoScan.SurfaceType.HeightField, source = PhotoScan.PointsSource.SparsePoints, interpolation = PhotoScan.Interpolation.EnabledInterpolation, face_count = PhotoScan.FaceCount.HighFaceCount)
new_chunk.depth_maps = None
if mergeBack:
for i in range(1, len(doc.chunks)):
chunk = doc.chunks[i]
chunk.remove(chunk.cameras)
doc.chunks[0].model = None #removing model from original chunk, just for case
doc.mergeChunks(doc.chunks, merge_dense_clouds = True, merge_models = True, merge_markers = True) #merging all smaller chunks into single one
doc.remove(doc.chunks[1:-1]) #removing smaller chunks.
print("Script finished")
return True