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4 changes: 2 additions & 2 deletions README.md
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Original file line number Diff line number Diff line change
Expand Up @@ -51,11 +51,11 @@ The code can be easily adapted to other models, if you will to utilize CLIP-COUN

###### Evaluation

Our evaluation is based both on CLIP-COUNT and YOLO.
Our evaluation is based both on CLIP-COUNT and YOLOS.

For CLIP-COUNT setup, refer to previous section.

For YOLO setup, please refer to [YOLOv9 docs](https://docs.ultralytics.com/models/yolov9/).
For YOLOS setup, please refer to the [Hugging Face docs](https://huggingface.co/docs/transformers/en/model_doc/yolos).

## Run and Evaluate:
<p align="center">
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7 changes: 6 additions & 1 deletion clip_count/models/clip_count_model.py
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Expand Up @@ -13,7 +13,12 @@
import einops
import functools
import operator
class CLIPCount(nn.Module):

from huggingface_hub import PyTorchModelHubMixin


class CLIPCount(nn.Module, PyTorchModelHubMixin,
repo_url="https://github.com/songrise/CLIP-Count/tree/main", pipeline_tag="zero-shot-image-classification", license="mit"):
def __init__(self, fim_depth:int=4,
fim_num_heads:int=8,
mlp_ratio:float=4.,
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