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Upload folder using huggingface_hub

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.gitattributes CHANGED
@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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+ models/keypoint filter=lfs diff=lfs merge=lfs -text
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+ models/osnet_model.pth.tar-100 filter=lfs diff=lfs merge=lfs -text
chute_config.yml ADDED
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+ Image:
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+ from_base: parachutes/python:3.12
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+ run_command:
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+ - pip install --upgrade setuptools wheel
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+ - pip install --index-url https://download.pytorch.org/whl/cu128 torch torchvision
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+ - pip install "ultralytics==8.3.222" "opencv-python-headless" "numpy" "pydantic" "Pillow"
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+ - pip install scikit-learn
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+ - pip install lap
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+ - pip install scipy
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+ - pip install onnxruntime-gpu onnx
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+ set_workdir: /app
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+ readme: "Image for chutes"
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+
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+ NodeSelector:
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+ gpu_count: 1
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+ min_vram_gb_per_gpu: 48
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+ min_memory_gb: 32
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+ min_cpu_count: 32
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+ exclude:
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+ - b200
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+ - h200
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+ - mi300x
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+
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+ Chute:
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+ timeout_seconds: 900
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+ concurrency: 4
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+ max_instances: 5
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+ scaling_threshold: 0.5
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+ shutdown_after_seconds: 288000
football_pitch_template.png ADDED
hrnetv2_w48.yaml ADDED
@@ -0,0 +1,35 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ MODEL:
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+ IMAGE_SIZE: [960, 540]
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+ NUM_JOINTS: 58
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+ PRETRAIN: ''
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+ EXTRA:
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+ BLOCK: "BOTTLENECK"
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+ FUSE_METHOD: SUM
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+ BLOCK: "BASIC"
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+ NUM_BLOCKS: [4, 4]
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+ FUSE_METHOD: SUM
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+ BLOCK: "BASIC"
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+ NUM_CHANNELS: [48, 96, 192]
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+ FUSE_METHOD: SUM
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+ STAGE4:
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+ NUM_MODULES: 3
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+ NUM_BRANCHES: 4
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+ BLOCK: "BASIC"
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+ NUM_BLOCKS: [4, 4, 4, 4]
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+ NUM_CHANNELS: [48, 96, 192, 384]
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+ FUSE_METHOD: SUM
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+
miner.py ADDED
The diff for this file is too large to render. See raw diff
 
models/keypoint ADDED
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models/person-detection-model.onnx ADDED
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