(InstanceGS) ddc@ubuntu20:/home/ddc/project/InstanceGasuusian_code$ python attach_lang_feature_scannet.py -s data/lerf_ovs/ramen -m output/lerf
_ovs/ramen -p output/lerf_ovs/ramen
Optimizing output/lerf_ovs/ramen
Loading trained model at iteration 30000 [22/07 20:23:41]
Reading camera 131/131 [22/07 20:23:42]
Resolution: 1.0 [22/07 20:23:42]
Loading Training Cameras [22/07 20:23:42]
Loading Test Cameras [22/07 20:23:44]
Traceback (most recent call last):
File "/home/ddc/project/InstanceGasuusian_code/attach_lang_feature_scannet.py", line 296, in <module>
training(lp.extract(args), op.extract(args), pp.extract(args))
File "/home/ddc/project/InstanceGasuusian_code/attach_lang_feature_scannet.py", line 104, in training
construct_pseudo_ins_feat(scene, render, (pipe, background, first_iter), new_codebook,culster_result)
File "/home/ddc/project/InstanceGasuusian_code/attach_lang_feature_scannet.py", line 111, in construct_pseudo_ins_feat
sorted_train_cameras = sorted(scene.getTrainCameras(), key=lambda Camera: int(Camera.image_name))
File "/home/ddc/project/InstanceGasuusian_code/attach_lang_feature_scannet.py", line 111, in <lambda>
sorted_train_cameras = sorted(scene.getTrainCameras(), key=lambda Camera: int(Camera.image_name))
ValueError: invalid literal for int() with base 10: 'frame_00049'
in line 111 and 170 of attach_lang_feature_scannet.py Camera.image_name -> Camera.image_name.split('_')[-1]
in line 111 and 170 of attach_lang_feature_scannet.py Camera.image_name -> Camera.image_name.split('_')[-1]