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Hi @rentainhe , when I run grounded_sam2_hf_model_demo.py in a single gpu to inference test images(batch size=1), I found GPU memory grew larger and larger until out of memory. I found that no matter which of these two commands is added, the memory will gradually increase: (1)sam2_predictor.set_image(np.array(image.convert("RGB"))) (2)outputs = grounding_model(**inputs) Could you help me? Thanks!
The text was updated successfully, but these errors were encountered:
open README.md with unicode (to support Hugging Face emoji); fix va…
README.md
7e1596c
…rious typos (#218) (close #217, #66, #67, #69, #91, #126, #127, #145)
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Hi @rentainhe , when I run grounded_sam2_hf_model_demo.py in a single gpu to inference test images(batch size=1), I found GPU memory grew larger and larger until out of memory. I found that no matter which of these two commands is added, the memory will gradually increase:
(1)sam2_predictor.set_image(np.array(image.convert("RGB")))
(2)outputs = grounding_model(**inputs)
Could you help me? Thanks!
The text was updated successfully, but these errors were encountered: