{
  "info": {
    "subdir": "osx-arm64"
  },
  "packages": {
    "ultralytics-8.4.19-py310hca03da5_0.tar.bz2": {
      "build": "py310hca03da5_0",
      "build_number": 0,
      "constrains": [
        "shapely >=2.0.0",
        "flask >=3.0.1",
        "onnxslim >=0.1.82",
        "tensorflow >=2.0.0",
        "streamlit >=1.51.0",
        "coremltools >=9.0",
        "albumentations>=1.4.6",
        "onnx >=1.12.0,<1.18.0",
        "faster-coco-eval >=1.6.7",
        "openvino >=2024.0.0",
        "scikit-learn >=1.3.2",
        "numpy <2.0.0",
        "tensorflowjs >=2.0.0"
      ],
      "depends": [
        "matplotlib-base >=3.3.0",
        "numpy >=1.23",
        "opencv >=4.6.0",
        "pillow >=7.1.2",
        "polars",
        "psutil",
        "python >=3.10,<3.11.0a0",
        "pytorch >=1.8.0",
        "pyyaml >=5.3.1",
        "requests >=2.23.0",
        "scipy >=1.4.1",
        "torchvision >=0.9.0",
        "ultralytics-thop >=2.0.18"
      ],
      "license": "AGPL-3.0-only",
      "license_family": "GPL",
      "md5": "ed6e99ff126427cb9a455aebc2fc2af7",
      "name": "ultralytics",
      "sha256": "b26c790a7b699b690166e1404cac2f843de60e127c4bbb8da99496b21040a61c",
      "size": 1764998,
      "subdir": "osx-arm64",
      "timestamp": 1772653094965,
      "version": "8.4.19"
    },
    "ultralytics-8.4.19-py311hca03da5_0.tar.bz2": {
      "build": "py311hca03da5_0",
      "build_number": 0,
      "constrains": [
        "onnxslim >=0.1.82",
        "openvino >=2024.0.0",
        "streamlit >=1.51.0",
        "scikit-learn >=1.3.2",
        "onnx >=1.12.0,<1.18.0",
        "coremltools >=9.0",
        "shapely >=2.0.0",
        "flask >=3.0.1",
        "tensorflowjs >=2.0.0",
        "albumentations>=1.4.6",
        "tensorflow >=2.0.0",
        "numpy <2.0.0",
        "faster-coco-eval >=1.6.7"
      ],
      "depends": [
        "matplotlib-base >=3.3.0",
        "numpy >=1.23",
        "opencv >=4.6.0",
        "pillow >=7.1.2",
        "polars",
        "psutil",
        "python >=3.11,<3.12.0a0",
        "pytorch >=1.8.0",
        "pyyaml >=5.3.1",
        "requests >=2.23.0",
        "scipy >=1.4.1",
        "torchvision >=0.9.0",
        "ultralytics-thop >=2.0.18"
      ],
      "license": "AGPL-3.0-only",
      "license_family": "GPL",
      "md5": "a686e0da4dc25ce7580833e6895b93c0",
      "name": "ultralytics",
      "sha256": "2d8eca78b4f24d28a264010c1f2937090c52189ce897707d4fcd5d0934d0af83",
      "size": 2203826,
      "subdir": "osx-arm64",
      "timestamp": 1772653086494,
      "version": "8.4.19"
    },
    "ultralytics-8.4.19-py312hca03da5_0.tar.bz2": {
      "build": "py312hca03da5_0",
      "build_number": 0,
      "constrains": [
        "coremltools >=9.0",
        "albumentations>=1.4.6",
        "tensorflowjs >=2.0.0",
        "openvino >=2024.0.0",
        "onnxslim >=0.1.82",
        "onnx >=1.12.0,<1.18.0",
        "tensorflow >=2.0.0",
        "shapely >=2.0.0",
        "numpy <2.0.0",
        "streamlit >=1.51.0",
        "flask >=3.0.1",
        "scikit-learn >=1.3.2",
        "faster-coco-eval >=1.6.7"
      ],
      "depends": [
        "matplotlib-base >=3.3.0",
        "numpy >=1.23",
        "opencv >=4.6.0",
        "pillow >=7.1.2",
        "polars",
        "psutil",
        "python >=3.12,<3.13.0a0",
        "pytorch >=1.8.0",
        "pyyaml >=5.3.1",
        "requests >=2.23.0",
        "scipy >=1.4.1",
        "torchvision >=0.9.0",
        "ultralytics-thop >=2.0.18"
      ],
      "license": "AGPL-3.0-only",
      "license_family": "GPL",
      "md5": "ffb478b1f728a1511a0e57daac071a40",
      "name": "ultralytics",
      "sha256": "8f6a316da85478d94318b90c30b58fdf216bd3540ebfa80e6304264917a03084",
      "size": 2121261,
      "subdir": "osx-arm64",
      "timestamp": 1772653039927,
      "version": "8.4.19"
    },
    "ultralytics-8.4.19-py313hca03da5_0.tar.bz2": {
      "build": "py313hca03da5_0",
      "build_number": 0,
      "constrains": [
        "scikit-learn >=1.3.2",
        "faster-coco-eval >=1.6.7",
        "streamlit >=1.51.0",
        "flask >=3.0.1",
        "onnx >=1.12.0,<1.18.0",
        "tensorflow >=2.0.0",
        "onnxslim >=0.1.82",
        "openvino >=2024.0.0",
        "shapely >=2.0.0",
        "albumentations>=1.4.6",
        "coremltools >=9.0",
        "tensorflowjs >=2.0.0"
      ],
      "depends": [
        "matplotlib-base >=3.3.0",
        "numpy >=1.23",
        "opencv >=4.6.0",
        "pillow >=7.1.2",
        "polars",
        "psutil",
        "python >=3.13,<3.14.0a0",
        "python_abi 3.13.* *_cp313",
        "pytorch >=1.8.0",
        "pyyaml >=5.3.1",
        "requests >=2.23.0",
        "scipy >=1.4.1",
        "torchvision >=0.9.0",
        "ultralytics-thop >=2.0.18"
      ],
      "license": "AGPL-3.0-only",
      "license_family": "GPL",
      "md5": "4a3e4f94d3ceadefa9a5ae10b92a3234",
      "name": "ultralytics",
      "sha256": "b5b287b8660040ec770f05918a108ca05ecbf3e158fdc1cc2b071d4d4b8d303d",
      "size": 2143631,
      "subdir": "osx-arm64",
      "timestamp": 1772653054910,
      "version": "8.4.19"
    }
  },
  "packages.conda": {
    "ultralytics-8.4.19-py310hca03da5_0.conda": {
      "build": "py310hca03da5_0",
      "build_number": 0,
      "constrains": [
        "shapely >=2.0.0",
        "flask >=3.0.1",
        "onnxslim >=0.1.82",
        "tensorflow >=2.0.0",
        "streamlit >=1.51.0",
        "coremltools >=9.0",
        "albumentations>=1.4.6",
        "onnx >=1.12.0,<1.18.0",
        "faster-coco-eval >=1.6.7",
        "openvino >=2024.0.0",
        "scikit-learn >=1.3.2",
        "numpy <2.0.0",
        "tensorflowjs >=2.0.0"
      ],
      "depends": [
        "matplotlib-base >=3.3.0",
        "numpy >=1.23",
        "opencv >=4.6.0",
        "pillow >=7.1.2",
        "polars",
        "psutil",
        "python >=3.10,<3.11.0a0",
        "pytorch >=1.8.0",
        "pyyaml >=5.3.1",
        "requests >=2.23.0",
        "scipy >=1.4.1",
        "torchvision >=0.9.0",
        "ultralytics-thop >=2.0.18"
      ],
      "license": "AGPL-3.0-only",
      "license_family": "GPL",
      "md5": "2c8ba321b2b40e0f34bf51740c0f562b",
      "name": "ultralytics",
      "sha256": "5058837820e841a3c3d2be8bd4bb2435867d82e2cafcafaa9cacc2e96498de09",
      "size": 1464274,
      "subdir": "osx-arm64",
      "timestamp": 1772653094965,
      "version": "8.4.19"
    },
    "ultralytics-8.4.19-py311hca03da5_0.conda": {
      "build": "py311hca03da5_0",
      "build_number": 0,
      "constrains": [
        "onnxslim >=0.1.82",
        "openvino >=2024.0.0",
        "streamlit >=1.51.0",
        "scikit-learn >=1.3.2",
        "onnx >=1.12.0,<1.18.0",
        "coremltools >=9.0",
        "shapely >=2.0.0",
        "flask >=3.0.1",
        "tensorflowjs >=2.0.0",
        "albumentations>=1.4.6",
        "tensorflow >=2.0.0",
        "numpy <2.0.0",
        "faster-coco-eval >=1.6.7"
      ],
      "depends": [
        "matplotlib-base >=3.3.0",
        "numpy >=1.23",
        "opencv >=4.6.0",
        "pillow >=7.1.2",
        "polars",
        "psutil",
        "python >=3.11,<3.12.0a0",
        "pytorch >=1.8.0",
        "pyyaml >=5.3.1",
        "requests >=2.23.0",
        "scipy >=1.4.1",
        "torchvision >=0.9.0",
        "ultralytics-thop >=2.0.18"
      ],
      "license": "AGPL-3.0-only",
      "license_family": "GPL",
      "md5": "6852ccbf6e21e9751c70c4d45e535772",
      "name": "ultralytics",
      "sha256": "7964f7608a119f1f5537599d0929e091af88fe2682a55ada5a684a9c2f5cf8f4",
      "size": 1846138,
      "subdir": "osx-arm64",
      "timestamp": 1772653086494,
      "version": "8.4.19"
    },
    "ultralytics-8.4.19-py312hca03da5_0.conda": {
      "build": "py312hca03da5_0",
      "build_number": 0,
      "constrains": [
        "coremltools >=9.0",
        "albumentations>=1.4.6",
        "tensorflowjs >=2.0.0",
        "openvino >=2024.0.0",
        "onnxslim >=0.1.82",
        "onnx >=1.12.0,<1.18.0",
        "tensorflow >=2.0.0",
        "shapely >=2.0.0",
        "numpy <2.0.0",
        "streamlit >=1.51.0",
        "flask >=3.0.1",
        "scikit-learn >=1.3.2",
        "faster-coco-eval >=1.6.7"
      ],
      "depends": [
        "matplotlib-base >=3.3.0",
        "numpy >=1.23",
        "opencv >=4.6.0",
        "pillow >=7.1.2",
        "polars",
        "psutil",
        "python >=3.12,<3.13.0a0",
        "pytorch >=1.8.0",
        "pyyaml >=5.3.1",
        "requests >=2.23.0",
        "scipy >=1.4.1",
        "torchvision >=0.9.0",
        "ultralytics-thop >=2.0.18"
      ],
      "license": "AGPL-3.0-only",
      "license_family": "GPL",
      "md5": "424e41cb443a241a97dde3a99c148835",
      "name": "ultralytics",
      "sha256": "3ad5e11762dfeebc8d1b2eaee641ea108925ff3075926bcee8e9103797abba8b",
      "size": 1806896,
      "subdir": "osx-arm64",
      "timestamp": 1772653039927,
      "version": "8.4.19"
    },
    "ultralytics-8.4.19-py313hca03da5_0.conda": {
      "build": "py313hca03da5_0",
      "build_number": 0,
      "constrains": [
        "scikit-learn >=1.3.2",
        "faster-coco-eval >=1.6.7",
        "streamlit >=1.51.0",
        "flask >=3.0.1",
        "onnx >=1.12.0,<1.18.0",
        "tensorflow >=2.0.0",
        "onnxslim >=0.1.82",
        "openvino >=2024.0.0",
        "shapely >=2.0.0",
        "albumentations>=1.4.6",
        "coremltools >=9.0",
        "tensorflowjs >=2.0.0"
      ],
      "depends": [
        "matplotlib-base >=3.3.0",
        "numpy >=1.23",
        "opencv >=4.6.0",
        "pillow >=7.1.2",
        "polars",
        "psutil",
        "python >=3.13,<3.14.0a0",
        "python_abi 3.13.* *_cp313",
        "pytorch >=1.8.0",
        "pyyaml >=5.3.1",
        "requests >=2.23.0",
        "scipy >=1.4.1",
        "torchvision >=0.9.0",
        "ultralytics-thop >=2.0.18"
      ],
      "license": "AGPL-3.0-only",
      "license_family": "GPL",
      "md5": "d839dc86cbd1b6785f8c344fc6ab9bf5",
      "name": "ultralytics",
      "sha256": "e0b228bc1392f02988a864eb45a547f57868f5fb47f7bc49ff7cfaa5c2099542",
      "size": 1864861,
      "subdir": "osx-arm64",
      "timestamp": 1772653054910,
      "version": "8.4.19"
    }
  },
  "removed": [],
  "repodata_version": 1
}