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Wrap SAM3 inference with autocast float16 for CUDA 13.0
Build and Push Container
#14:
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11e5780
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osmiumzero
6m 53s
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6m 53s
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Revert io_utils patch, use .half() to match SAM3 native float16
Build and Push Container
#13:
Commit
626cad3
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osmiumzero
7m 52s
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7m 52s
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Force SAM3 model weights to float32 after loading
Build and Push Container
#12:
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1f800ac
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osmiumzero
7m 14s
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main
7m 14s
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Patch SAM3 io_utils float16->float32 in Dockerfile for CUDA 13.0
Build and Push Container
#11:
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4f32ee2
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osmiumzero
7m 32s
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main
7m 32s
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SAM3: force float32 model + autocast for label accuracy parity
Build and Push Container
#10:
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88338e9
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osmiumzero
6m 43s
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6m 43s
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Fix SAM3 dtype: use torch.autocast instead of model dtype casting
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#9:
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07ddd00
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osmiumzero
7m 17s
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7m 17s
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Fix SAM3 dtype: use model.half() to match float16 input pipeline
Build and Push Container
#8:
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1c1386c
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osmiumzero
8m 4s
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8m 4s
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Force SAM3 model to float32 to fix bfloat16 dtype mismatch on A100
Build and Push Container
#7:
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ea3495b
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7m 5s
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7m 5s
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Fix tiff_to_zarr.py to also match recon_*.tiff from tomocupy
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#6:
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dd223c1
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8m 0s
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8m 0s
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Fix tomocupy CLI: use python -m tomocupy instead of bare command
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#5:
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cc2317c
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6m 48s
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6m 48s
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Fix CuPy JIT: use CUDA devel image for runtime stage
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#4:
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6a98d7f
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8m 12s
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8m 12s
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Add pipeline scripts, curl, and AWS-adapted run_full_pipeline.sh
Build and Push Container
#3:
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98277c8
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osmiumzero
7m 4s
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main
7m 4s
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Add git to runtime stage for SAM2/SAM3 pip install from GitHub
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#2:
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a98700a
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osmiumzero
7m 18s
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main
7m 18s
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Add GitHub Actions workflow to build and push Docker image to ghcr.io
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#1:
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00945a7
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3m 20s
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3m 20s
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