Project.toml

name = "MedPipe3D"
uuid = "80492ae4-ba08-4770-a16e-2cec06b8739e"
version = "0.1.6"

[deps]
ADTypes = "47edcb42-4c32-4615-8424-f2b9edc5f35b"
CUDA = "052768ef-5323-5732-b1bb-66c8b64840ba"
ColorTypes = "3da002f7-5984-5a60-b8a6-cbb66c0b333f"
ComputerVisionMetrics = "56beca70-ca20-45da-83c4-a042539b6c19"
Dates = "ade2ca70-3891-5945-98fb-dc099432e06a"
Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f"
HDF5 = "f67ccb44-e63f-5c2f-98bd-6dc0ccc4ba2f"
ITKIOWrapper = "8538b10a-c1b7-4e8d-b607-b3a5053e6a1f"
JLD2 = "033835bb-8acc-5ee8-8aae-3f567f8a3819"
JSON = "682c06a0-de6a-54ab-a142-c8b1cf79cde6"
KernelAbstractions = "63c18a36-062a-441e-b654-da1e3ab1ce7c"
LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
Logging = "56ddb016-857b-54e1-b83d-db4d58db5568"
Lux = "b2108857-7c20-44ae-9111-449ecde12c47"
LuxCUDA = "d0bbae9a-e099-4d5b-a835-1c6931763bda"
MLDataDevices = "7e8f7934-dd98-4c1a-8fe8-92b47a384d40"
MedEval3D = "07fe485e-7252-451c-a484-d20a4cdbbf79"
MedImages = "fbff095b-7891-4fc4-b5e5-3cd99b9dd225"
Optimisers = "3bd65402-5787-11e9-1adc-39752487f4e2"
PythonCall = "6099a3de-0909-46bc-b1f4-468b9a2dfc0d"
Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
Wandb = "ad70616a-06c9-5745-b1f1-6a5f42545108"
Zygote = "e88e6eb3-aa80-5325-afca-941959d7151f"

[compat]
ADTypes = "0.2, 1"
CUDA = "5"
ColorTypes = "0.11"
ComputerVisionMetrics = "0.1"
HDF5 = "0.17"
JSON = "0.21"
KernelAbstractions = "0.9"
Lux = "0.5, 1"
LuxCUDA = "0.3"
MedEval3D = "0.2"
Optimisers = "0.3, 0.4"
PythonCall = "0.9"
Zygote = "0.6, 0.7"
julia = "1.10, 1.11"