Messages

16

Python and Java API / Re: Images are not visble after alignment

« on: December 10, 2019, 10:11:18 PM »

Hello Alexey,
 
The console shows the image alignment process completely. The points are deducted and the alignment is done in the console but the images are not visible.

17

Python and Java API / Images are not visble after alignment

« on: December 10, 2019, 09:48:10 PM »

Hello,
          I have used the below code to align the thermal images the console shows the process but the images are not shown in the workspace and in the reference tab. Kindly help me.
 

Code: [Select]

import glob
try:
    import Metashape as env
    doc = Metashape.app.document
    env_type = 1
except:
    import PhotoScan as env
    doc = PhotoScan.app.document
    env_type = 2
   
load_images = True
load_thermal = True
# Thermal data
path_calib = 'C:\\Program Files\\Agisoft\\Metashape Pro'
path_images = 'C:\\Program Files\\Agisoft\Metashape Pro\\flir'
path_subdir = 'flir\\'
fileext = '*.tiff'
chunk_name = 'FLIR'
calib_fname = 'xt2_flir_20190206.xml'
flength = 13
psize = 0.017

ch = env.app.document.addChunk()
ch.label = chunk_name

# initiate images list
imgList = []
imgListNames = []
# construct flight directory
dir_srs = path_subdir
# reset file counter
cnt = 0

# go over all images
for filename in glob.glob(dir_srs + fileext):
# add image to list
    imgList.append(filename)
    fname = filename.split('\\')
    # add file name
    imgListNames.append(fname[-1])
    #' increment counter
    cnt += 1
   
if load_images == 1:
    # add images to chunk
    ch.addPhotos(imgList)
# create calibration instance
calibData = env.Calibration()
# load calibration data from file
calibData.load(calib_fname, format="xml")
# load camera calibration params
ch.sensors[0].user_calib = calibData
# assign camera focal length
ch.sensors[0].focal_length = flength
# assign camera pixel size
ch.sensors[0].pixel_size = env.Vector([psize,psize])
# do not optimise camera intrinsics
if env_type == 1:
    ch.sensors[0].fixed_calibration = True
else:
    ch.sensors[0].fixed = True

# ch = Metashape.app.document.chunk
path = '20191024_gcp_coordinates.txt'
ch.loadReference(path, format = Metashape.ReferenceFormatCSV, delimiter=",", columns="nxyz")

for frame in ch.frames:
    frame.matchPhotos(accuracy=Metashape.HighestAccuracy, generic_preselection=True,reference_preselection=True)

# ch.matchPhotos(accuracy=Metashape.LowAccuracy, generic_preselection=True,reference_preselection=True)
ch.alignCameras()
# ch.buildDepthMaps(quality=Metashape.MediumQuality, filter=Metashape.AggressiveFiltering)
# ch.buildDenseCloud()
# ch.buildModel(surface=Metashape.Arbitrary, interpolation=Metashape.EnabledInterpolation)
# ch.buildUV(mapping=Metashape.GenericMapping)
# ch.buildTexture(blending=Metashape.MosaicBlending, size=4096)
#optimizeCameras(fit_f=True, fit_cx=True, fit_cy=True, fit_b1=True, fit_b2=True, fit_k1=True, fit_k2=True, fit_k3=True, fit_k4=False, fit_p1=True, fit_p2=True, fit_p3=False, fit_p4=False)

18

Python and Java API / Align Thermal images.

« on: December 10, 2019, 09:43:12 PM »

Hello,
         Currently, I am working with UAV thermal images and I have to the following steps in python scripting.
 
1.Load thermal images
2.Load calibration data
3.Load GCP's
4.Select-control points
5. Do alignment
6. Get extrinsic parameters
7.Project GCP's
8. Get errors.

I think I have done till alignment but I am not sure, How to proceed after alignment. I have attached my script with this. Kindly help me.

Code: [Select]

import glob
try:
    import Metashape as env
    doc = Metashape.app.document
    env_type = 1
except:
    import PhotoScan as env
    doc = PhotoScan.app.document
    env_type = 2
   
load_images = True
load_thermal = True
# Thermal data
path_calib = 'C:\\Program Files\\Agisoft\\Metashape Pro'
path_images = 'C:\\Program Files\\Agisoft\Metashape Pro\\flir'
path_subdir = 'flir\\'
fileext = '*.tiff'
chunk_name = 'FLIR'
calib_fname = 'xt2_flir_20190206.xml'
flength = 13
psize = 0.017

ch = env.app.document.addChunk()
ch.label = chunk_name

# initiate images list
imgList = []
imgListNames = []
# construct flight directory
dir_srs = path_subdir
# reset file counter
cnt = 0

# go over all images
for filename in glob.glob(dir_srs + fileext):
# add image to list
    imgList.append(filename)
    fname = filename.split('\\')
    # add file name
    imgListNames.append(fname[-1])
    #' increment counter
    cnt += 1
   
if load_images == 1:
    # add images to chunk
    ch.addPhotos(imgList)
# create calibration instance
calibData = env.Calibration()
# load calibration data from file
calibData.load(calib_fname, format="xml")
# load camera calibration params
ch.sensors[0].user_calib = calibData
# assign camera focal length
ch.sensors[0].focal_length = flength
# assign camera pixel size
ch.sensors[0].pixel_size = env.Vector([psize,psize])
# do not optimise camera intrinsics
if env_type == 1:
    ch.sensors[0].fixed_calibration = True
else:
    ch.sensors[0].fixed = True

# ch = Metashape.app.document.chunk
path = '20191024_gcp_coordinates.txt'
ch.loadReference(path, format = Metashape.ReferenceFormatCSV, delimiter=",", columns="nxyz")

for frame in ch.frames:
    frame.matchPhotos(accuracy=Metashape.HighestAccuracy, generic_preselection=True,reference_preselection=True)

# ch.matchPhotos(accuracy=Metashape.LowAccuracy, generic_preselection=True,reference_preselection=True)
ch.alignCameras()
# ch.buildDepthMaps(quality=Metashape.MediumQuality, filter=Metashape.AggressiveFiltering)
# ch.buildDenseCloud()
# ch.buildModel(surface=Metashape.Arbitrary, interpolation=Metashape.EnabledInterpolation)
# ch.buildUV(mapping=Metashape.GenericMapping)
# ch.buildTexture(blending=Metashape.MosaicBlending, size=4096)
#optimizeCameras(fit_f=True, fit_cx=True, fit_cy=True, fit_b1=True, fit_b2=True, fit_k1=True, fit_k2=True, fit_k3=True, fit_k4=False, fit_p1=True, fit_p2=True, fit_p3=False, fit_p4=False)