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Can‘t install GroundingDINO #550

@EvenDart

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@EvenDart

I have been using GroundingDINO for auto-labeling in my YOLOv project in Google Colab. I’ve been using a code for 2 months for labeling, which used to work until a week ago. Now, it’s been having problems with the installations.

`cd/content

import os
HOME = os.getcwd()

%cd {HOME}
!git clone https://github.com/IDEA-Research/GroundingDINO.git

%cd {HOME}/GroundingDINO
!pip install -q -e .

/content/GroundingDINO
Preparing metadata (setup.py) ... done
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error: subprocess-exited-with-error

× python setup.py develop did not run successfully.
│ exit code: 1
╰─> See above for output.

note: This error originates from a subprocess, and is likely not a problem with pip.

error: subprocess-exited-with-error

× python setup.py develop did not run successfully.
│ exit code: 1
╰─> See above for output.

note: This error originates from a subprocess, and is likely not a problem with pip.
`

After that error, I finished installing the GroundingDINO weights and model. However, when I try to label, this error stops the process.

FutureWarning: Thedevice` argument is deprecated and will be removed in v5 of Transformers.
UserWarning: torch.utils.checkpoint: the use_reentrant parameter should be passed explicitly. In version 2.5 we will raise an exception if use_reentrant is not passed. use_reentrant=False is recommended, but if you need to preserve the current default behavior, you can pass use_reentrant=True. Refer to docs for more details on the differences between the two variants.
UserWarning: None of the inputs have requires_grad=True. Gradients will be None

NameError Traceback (most recent call last)
in <cell line: 0>()
21 image_source, image = load_image(image_path)
22
---> 23 boxes, logits, phrases = predict(
24 model = model,
25 image = image,

22 frames
/content/GroundingDINO/groundingdino/models/GroundingDINO/ms_deform_attn.py in forward(ctx, value, value_spatial_shapes, value_level_start_index, sampling_locations, attention_weights, im2col_step)
51 ):
52 ctx.im2col_step = im2col_step
---> 53 output = _C.ms_deform_attn_forward(
54 value,
55 value_spatial_shapes,

NameError: name '_C' is not defined`

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