sh local_test_LBA.sh
Parsing arguments ...
copying the images..
/bin/sh: 1: ../third_party/dso/build/bin/dso_dataset: not found
Traceback (most recent call last):
File "run_dso.py", line 77, in
main()
File "run_dso.py", line 68, in main
mode = 1, preset = 2, nogui = 1, use_existing = False )
File "/home/administrator/Depth_testing/neuralrgbd/code/DSO/dso_io.py", line 255, in run_DSO
RTs_cam_to_world = _read_camera_poses( './result.txt', if_invert= if_invert )
File "/home/administrator/Depth_testing/neuralrgbd/code/DSO/dso_io.py", line 103, in _read_camera_poses
with open(result_txt_file) as f:
FileNotFoundError: [Errno 2] No such file or directory: './result.txt'
Parsing the arguments...
Initnializing the KV-Net
bn_running_avg = 0
RefineNet_UNet2D: init conv2d
RefineNet_UNet2D: init conv2d
init transposed 2d
RefineNet_UNet2D: init conv2d
RefineNet_UNet2D: init conv2d
init transposed 2d
RefineNet_UNet2D: init conv2d
RefineNet_UNet2D: init conv2d
RefineNet_UNet2D: init conv2d
KV-Net initialization:
with R-net: True
refinement name: DPV
loading KV_net at ./saved_models/kvnet_scannet.tar
Done
Getting the paths for traj_0
Done
init initial pose from DSO estimations ...
Traceback (most recent call last):
File "test_KVNet_LBA.py", line 532, in
main()
File "test_KVNet_LBA.py", line 302, in main
min_idx = args.min_frame_idx, max_idx = args.max_frame_idx)
File "test_KVNet_LBA.py", line 83, in init_traj_extMs
dso_Rts = dso_io._read_camera_poses( dso_res_path, if_filter = if_filter )
File "/home/administrator/Depth_testing/neuralrgbd/code/DSO/dso_io.py", line 103, in _read_camera_poses
with open(result_txt_file) as f:
FileNotFoundError: [Errno 2] No such file or directory: 'dso_res/result_dso.txt'
sh local_test_LBA.sh Parsing arguments ... copying the images.. /bin/sh: 1: ../third_party/dso/build/bin/dso_dataset: not found Traceback (most recent call last): File "run_dso.py", line 77, in
main()
File "run_dso.py", line 68, in main
mode = 1, preset = 2, nogui = 1, use_existing = False )
File "/home/administrator/Depth_testing/neuralrgbd/code/DSO/dso_io.py", line 255, in run_DSO
RTs_cam_to_world = _read_camera_poses( './result.txt', if_invert= if_invert )
File "/home/administrator/Depth_testing/neuralrgbd/code/DSO/dso_io.py", line 103, in _read_camera_poses
with open(result_txt_file) as f:
FileNotFoundError: [Errno 2] No such file or directory: './result.txt'
Parsing the arguments...
Initnializing the KV-Net
bn_running_avg = 0
RefineNet_UNet2D: init conv2d
RefineNet_UNet2D: init conv2d
init transposed 2d
RefineNet_UNet2D: init conv2d
RefineNet_UNet2D: init conv2d
init transposed 2d
RefineNet_UNet2D: init conv2d
RefineNet_UNet2D: init conv2d
RefineNet_UNet2D: init conv2d
KV-Net initialization:
with R-net: True
refinement name: DPV
loading KV_net at ./saved_models/kvnet_scannet.tar
Done
Getting the paths for traj_0
Done
init initial pose from DSO estimations ...
Traceback (most recent call last):
File "test_KVNet_LBA.py", line 532, in
main()
File "test_KVNet_LBA.py", line 302, in main
min_idx = args.min_frame_idx, max_idx = args.max_frame_idx)
File "test_KVNet_LBA.py", line 83, in init_traj_extMs
dso_Rts = dso_io._read_camera_poses( dso_res_path, if_filter = if_filter )
File "/home/administrator/Depth_testing/neuralrgbd/code/DSO/dso_io.py", line 103, in _read_camera_poses
with open(result_txt_file) as f:
FileNotFoundError: [Errno 2] No such file or directory: 'dso_res/result_dso.txt'