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operating-room-monitor-server/backend/weights/.gitkeep
2026-05-27 16:22:55 +08:00

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# Optional offline assets for Docker build (see scripts/bake_pretrained_weights.py).
# If a file exists here, image build copies it instead of downloading.
#
# Torchvision hub (→ /app/.cache/torch/hub/checkpoints/):
# swin3d_t-7615ae03.pth (~110MB) VideoSwin / batch Phase1
# resnet50-0676ba61.pth (~98MB) doctor ReID backbone (ImageNet)
#
# MediaPipe (→ algorithm_subprocesses/5.15/doctor_identity_package/.mediapipe_models/):
# pose_landmarker_lite.task (~6MB)
#
# wget https://download.pytorch.org/models/swin3d_t-7615ae03.pth
# wget https://download.pytorch.org/models/resnet50-0676ba61.pth
# curl -fsSL -o pose_landmarker_lite.task \
# "https://storage.googleapis.com/mediapipe-models/pose_landmarker/pose_landmarker_lite/float16/1/pose_landmarker_lite.task"
#
# Bundled in image via COPY (not downloaded at build):
# algorithm_subprocesses/5.15/weights/*.pt, actionformer_epoch_045.pth.tar
# doctor_identity_package/doctor_info.pth