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import os
import PhotoScan
def main():
print("Script started")
doc = PhotoScan.app.document
chunk = PhotoScan.Chunk()
chunk.label = "New Chunk"
doc.chunks.add(chunk)
path_photos = PhotoScan.app.getExistingDirectory("Specify folder with input photos:")
path_photos += "/"
#checking save filename
project_path = PhotoScan.app.getSaveFileName("Specify project filename for saving:")
if not project_path:
print("Script aborted")
return 0
if proejct_path[-4:].lower() != ".psz":
project_path += ".psz"
#adding photos
image_list = os.listdir(path_photos)
for photo in image_list:
if ("jpg" or "jpeg" or "tif" or "png") in photo.lower():
chunk.photos.add(path_photos + photo)
PhotoScan.app.update()
#align photos
chunk.matchPhotos(accuracy = "high", preselection = "generic", filter_mask = False, point_limit = 50000)
chunk.alignPhotos()
#build dense cloud
chunk.buildDenseCloud(quality = "high", filter = "aggressive")
#build mesh
chunk.buildModel(surface = "arbitrary", source = "dense", interpolation = "enabled", faces = "high")
#build texture
chunk.buildTexture(mapping = "adaptive", blending = "mosaic", color_correction = False, size = 4096, count = 1
#save
doc.save(project_path)
PhotoScan.app.update()
print("Script finished")
return 1
PhotoScan.app.addMenuItem("Custom menu/Process photos", main)
import PhotoScan
def main():
doc = PhotoScan.app.document
chunk = doc.activeChunk
if chunk.model:
x = PhotoScan.app.getInt("Input number of smoothing steps:", 3)
chunk.smoothModel(x)
print("Smoothing by script finished.")
return 1
else:
print("No model. Script aborted.")
return 0
PhotoScan.app.addMenuItem("Custom menu/Smooth model", main) import sys
import PhotoScan
doc = PhotoScan.app.document
chunk = doc.activeChunk
arg = 50 #tolerance by default
if len(sys.argv) > 1:
arg = int(sys.argv[1])
print("Script started.")
camera_list = list(chunk.cameras)
for camera in list(camera_list): #removing from list NA and disabled cameras
if not (camera.transform and camera.enabled):
camera_list.remove(camera)
dist = list()
for i in range(0, len(camera_list)):
icamera = camera_list[i]
for j in range(i + 1, len(camera_list)):
jcamera = camera_list[j]
stereobase = (icamera.center - jcamera.center).norm()
dist.append(stereobase)
dist.sort()
mediana = dist[len(dist) // 2]
for i in range(0, len(camera_list)):
icamera = camera_list[i]
if not icamera.enabled:
continue
for j in range(i + 1, len(camera_list)):
jcamera = camera_list[j]
stereobase = (icamera.center - jcamera.center).norm()
if stereobase < mediana / arg:
jcamera.enabled = False
continue
print("Script finished.")
