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Tried demo code in google colab, but it seems to fail as follows:
!pip install autodistill autodistill-grounded-sam autodistill-yolov8 !pip3 install autodistill-sam-hq roboflow supervision
from autodistill_sam_hq import HQSAM base_model = HQSAM(None) masks = base_model.predict("eb4c9db3a9b8e3bf6cb8397bc00ad075.png") print(masks)
ModuleNotFoundError Traceback (most recent call last) [<ipython-input-2-3512cfbd3532>](https://localhost:8080/#) in <cell line: 4>() 2 get_ipython().system('pip3 install autodistill-sam-hq roboflow supervision') 3 ----> 4 from autodistill_sam_hq import HQSAM 5 6 base_model = HQSAM(None) 1 frames [/usr/local/lib/python3.10/dist-packages/autodistill_sam_hq/samhq_model.py](https://localhost:8080/#) in <module> 7 import supervision as sv 8 import torch ----> 9 from segment_anything_hq import SamAutomaticMaskGenerator, sam_model_registry 10 11 from autodistill.detection import CaptionOntology, DetectionBaseModel ModuleNotFoundError: No module named 'segment_anything_hq'
The text was updated successfully, but these errors were encountered:
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Tried demo code in google colab, but it seems to fail as follows:
!pip install autodistill autodistill-grounded-sam autodistill-yolov8
!pip3 install autodistill-sam-hq roboflow supervision
from autodistill_sam_hq import HQSAM
base_model = HQSAM(None)
masks = base_model.predict("eb4c9db3a9b8e3bf6cb8397bc00ad075.png")
print(masks)
The text was updated successfully, but these errors were encountered: