TypeError: 'list_iterator' object is not callable

[lllllyzer]

Thank you very much for the author's code. I successfully ran the dataset you provided,

but encountered this error during my attempt to train my own data. It seems to be in the automatic_mask_generator.py file in the segment_anything library, with the error message

TypeError: 'list_iterator' object is not callable. This error occurs when attempting to call a list_iterator object, typically indicating that the code is attempting to call an iterator as a function

I tried reinstalling segment-anything-langsplat and going directly to https://github.com/facebookresearch/segment-anything.git Install segment anything langsplat, but both encounter the same issue

My environment configuration is python=3.9 CUDA 11.8 wsl Ubuntu 20.04 on 4090 pytorch==2.0.0 torchvision==0.15.0 torchaudio==2.0.0 pytorch-cuda=11.8 -c pytorch -c nvidia

What I specifically did was this step: Step 1: Generate Language Feature of the Scenes. Put the image data into the "input" directory under the /, then run the following code. “python preprocess.py --dataset_path $dataset_path ”

(langsplat) new@PC-Xu:/mnt/e/lyz/LangSplat$ python preprocess.py --dataset_path data/241117-D /home/new/anaconda3/envs/langsplat/lib/python3.9/site-packages/torch/nn/modules/activation.py:1144: UserWarning: Converting mask without torch.bool dtype to bool; this will negatively affect performance. Prefer to use a boolean mask directly. (Triggered internally at /opt/conda/conda-bld/pytorch_16784/home/new/anaconda3/envs/langsplat/lib/python3.9/site-packages/torch/nn/modules/activation.py:1144: UserWarning: Converting mask without torch.bool dtype to bool; this will negatively affect performance. Prefer to use a boolean mask directly. (Triggered internally at /opt/conda/conda-bld/pytorch_1678402412426/work/aten/src/ATen/native/transformers/attention.cpp:150.) return torch._native_multi_head_attention( 02412426/work/aten/src/ATen/native/transformers/attention.cpp:150.) return torch._native_multi_head_attention( [ INFO ] Encountered quite large input images (>1080P), rescaling to 1080P. If this is not desired, please explicitly specify '--resolution/-r' as 1 [ INFO ] Encountered quite large input images (>1080P), rescaling to 1080P. If this is not desired, please explicitly specify '--resolution/-r' as 1 Traceback (most recent call last): File "/mnt/e/lyz/LangSplat/preprocess.py", line 129, in create img_embed, seg_map = _embed_clip_sam_tiles(img.unsqueeze(0), sam_encoder) Traceback (most recent call last): File "/mnt/e/lyz/LangSplat/preprocess.py", line 129, in create img_embed, seg_map = _embed_clip_sam_tiles(img.unsqueeze(0), sam_encoder) File "/mnt/e/lyz/LangSplat/preprocess.py", line 181, in _embed_clip_sam_tiles seg_images, seg_map = sam_encoder(aug_imgs) File "/mnt/e/lyz/LangSplat/preprocess.py", line 181, in _embed_clip_sam_tiles seg_images, seg_map = sam_encoder(aug_imgs) File "/mnt/e/lyz/LangSplat/preprocess.py", line 302, in sam_encoder masks_default, masks_s, masks_m, masks_l = mask_generator.generate(image) File "/home/new/anaconda3/envs/langsplat/lib/python3.9/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context File "/mnt/e/lyz/LangSplat/preprocess.py", line 302, in sam_encoder masks_default, masks_s, masks_m, masks_l = mask_generator.generate(image) File "/home/new/anaconda3/envs/langsplat/lib/python3.9/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context return func(*args, *kwargs) File "/home/new/anaconda3/envs/langsplat/lib/python3.9/site-packages/segment_anything/automatic_mask_generator.py", line 163, in generate return func(args, **kwargs) File "/home/new/anaconda3/envs/langsplat/lib/python3.9/site-packages/segment_anything/automatic_mask_generator.py", line 163, in generate mask_data, mask_data_s, mask_data_m, mask_data_l = self._generate_masks(image) mask_data, mask_data_s, mask_data_m, mask_data_l = self._generate_masks(image) File "/home/new/anaconda3/envs/langsplat/lib/python3.9/site-packages/segment_anything/automatic_mask_generator.py", line 220, in _generate_masks File "/home/new/anaconda3/envs/langsplat/lib/python3.9/site-packages/segment_anything/automatic_mask_generator.py", line 220, in _generate_masks crop_data, crop_data_s, crop_data_m, crop_data_l = self._process_crop(image, crop_box, layer_idx, orig_size) crop_data, crop_data_s, crop_data_m, crop_data_l = self._process_crop(image, crop_box, layer_idx, orig_size) File "/home/new/anaconda3/envs/langsplat/lib/python3.9/site-packages/segment_anything/automatic_mask_generator.py", line 279, in _process_crop File "/home/new/anaconda3/envs/langsplat/lib/python3.9/site-packages/segment_anything/automatic_mask_generator.py", line 279, in _process_crop data_m.cat(batch_data_m) File "/home/new/anaconda3/envs/langsplat/lib/python3.9/site-packages/segment_anything/utils/amg.py", line 68, in cat self._stats[k] = self._stats[k] + deepcopy(v) File "/home/new/anaconda3/envs/langsplat/lib/python3.9/copy.py", line 146, in deepcopy y = copier(x, memo) File "/home/new/anaconda3/envs/langsplat/lib/python3.9/copy.py", line 205, in _deepcopy_list append(deepcopy(a, memo)) File "/home/new/anaconda3/envs/langsplat/lib/python3.9/copy.py", line 146, in deepcopy y = copier(x, memo) File "/home/new/anaconda3/envs/langsplat/lib/python3.9/copy.py", line 230, in _deepcopy_dict y[deepcopy(key, memo)] = deepcopy(value, memo) File "/home/new/anaconda3/envs/langsplat/lib/python3.9/copy.py", line 146, in deepcopy y = copier(x, memo) File "/home/new/anaconda3/envs/langsplat/lib/python3.9/copy.py", line 205, in _deepcopy_list append(deepcopy(a, memo)) TypeError: 'list_iterator' object is not callable

During handling of the above exception, another exception occurred:

Traceback (most recent call last): File "/mnt/e/lyz/LangSplat/preprocess.py", line 409, in create(imgs, data_list, save_folder) File "/mnt/e/lyz/LangSplat/preprocess.py", line 131, in create raise ValueError(timer) ValueError: 1