diff --git a/config/yoeo_light_decoder.cfg b/config/yoeo_light_decoder.cfg
new file mode 100644
index 0000000..29e592c
--- /dev/null
+++ b/config/yoeo_light_decoder.cfg
@@ -0,0 +1,364 @@
+[net]
+# Testing
+#batch=1
+#subdivisions=1
+# Training
+batch=64
+subdivisions=4
+width=416
+height=416
+channels=3
+momentum=0.9
+decay=0.0005
+angle=0
+saturation = 1.5
+exposure = 1.5
+hue=.1
+
+learning_rate=0.0001
+burn_in=100
+max_batches = 4000
+policy=steps
+steps=50000,60000
+scales=.1,.1
+
+[convolutional]
+batch_normalize=1
+filters=32
+size=3
+stride=2
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=64
+size=3
+stride=2
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[route]
+layers=-1
+groups=2
+group_id=1
+
+[convolutional]
+batch_normalize=1
+filters=32
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=32
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[route]
+layers = -1,-2
+
+[convolutional]
+batch_normalize=1
+filters=64
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[route]
+layers = -6,-1
+
+[maxpool]
+size=2
+stride=2
+
+[convolutional]
+batch_normalize=1
+filters=128
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[route]
+layers=-1
+groups=2
+group_id=1
+
+[convolutional]
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[route]
+layers = -1,-2
+
+[convolutional]
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[route]
+layers = -6,-1
+
+[maxpool]
+size=2
+stride=2
+
+[convolutional]
+batch_normalize=1
+filters=256
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[route]
+layers=-1
+groups=2
+group_id=1
+
+[convolutional]
+batch_normalize=1
+filters=128
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=128
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[route]
+layers = -1,-2
+
+[convolutional]
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[route]
+layers = -6,-1
+
+[maxpool]
+size=2
+stride=2
+
+[convolutional]
+batch_normalize=1
+filters=512
+size=3
+stride=1
+pad=1
+activation=leaky
+
+###########
+
+[convolutional]
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=512
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+size=1
+stride=1
+pad=1
+filters=8
+activation=linear
+
+[yolo]
+mask = 0
+anchors = 100, 100
+classes=3
+num=1
+jitter=.3
+ignore_thresh = .7
+truth_thresh = 1
+random=1
+
+[route]
+layers = -4
+
+[convolutional]
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[upsample]
+stride=2
+
+[route]
+layers = -1, 24
+
+[convolutional]
+batch_normalize=1
+filters=256
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+size=1
+stride=1
+pad=1
+filters=8
+activation=linear
+
+[yolo]
+mask = 0
+anchors = 100,100
+classes=3
+num=1
+jitter=.3
+ignore_thresh = .7
+truth_thresh = 1
+random=1
+
+[route]
+layers = 18
+
+[convolutional]
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[upsample]
+stride=2
+
+[route]
+layers = -1, 10
+
+[convolutional]
+batch_normalize=1
+filters=64
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[upsample]
+stride=2
+
+[route]
+layers = -1, 2
+
+[convolutional]
+batch_normalize=1
+filters=32
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=32
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[upsample]
+stride=2
+
+[route]
+layers = -1, 0
+
+[convolutional]
+batch_normalize=1
+filters=16
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=16
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[upsample]
+stride=2
+
+[convolutional]
+batch_normalize=1
+filters=16
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=3
+size=1
+stride=1
+pad=1
+activation=linear
+
+[seg]
+classes=3
diff --git a/poetry.lock b/poetry.lock
index 20a8993..7dacb1e 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,3 +1,5 @@
+# This file is automatically @generated by Poetry and should not be changed by hand.
+
 [[package]]
 name = "absl-py"
 version = "1.4.0"
@@ -5,6 +7,10 @@ description = "Abseil Python Common Libraries, see https://github.com/abseil/abs
 category = "main"
 optional = false
 python-versions = ">=3.6"
+files = [
+    {file = "absl-py-1.4.0.tar.gz", hash = "sha256:d2c244d01048ba476e7c080bd2c6df5e141d211de80223460d5b3b8a2a58433d"},
+    {file = "absl_py-1.4.0-py3-none-any.whl", hash = "sha256:0d3fe606adfa4f7db64792dd4c7aee4ee0c38ab75dfd353b7a83ed3e957fcb47"},
+]
 
 [[package]]
 name = "cachetools"
@@ -13,6 +19,10 @@ description = "Extensible memoizing collections and decorators"
 category = "main"
 optional = false
 python-versions = ">=3.7"
+files = [
+    {file = "cachetools-5.3.1-py3-none-any.whl", hash = "sha256:95ef631eeaea14ba2e36f06437f36463aac3a096799e876ee55e5cdccb102590"},
+    {file = "cachetools-5.3.1.tar.gz", hash = "sha256:dce83f2d9b4e1f732a8cd44af8e8fab2dbe46201467fc98b3ef8f269092bf62b"},
+]
 
 [[package]]
 name = "certifi"
@@ -21,14 +31,95 @@ description = "Python package for providing Mozilla's CA Bundle."
 category = "main"
 optional = false
 python-versions = ">=3.6"
+files = [
+    {file = "certifi-2023.5.7-py3-none-any.whl", hash = "sha256:c6c2e98f5c7869efca1f8916fed228dd91539f9f1b444c314c06eef02980c716"},
+    {file = "certifi-2023.5.7.tar.gz", hash = "sha256:0f0d56dc5a6ad56fd4ba36484d6cc34451e1c6548c61daad8c320169f91eddc7"},
+]
 
 [[package]]
 name = "charset-normalizer"
-version = "3.1.0"
+version = "3.2.0"
 description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
 category = "main"
 optional = false
 python-versions = ">=3.7.0"
+files = [
+    {file = "charset-normalizer-3.2.0.tar.gz", hash = "sha256:3bb3d25a8e6c0aedd251753a79ae98a093c7e7b471faa3aa9a93a81431987ace"},
+    {file = "charset_normalizer-3.2.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:0b87549028f680ca955556e3bd57013ab47474c3124dc069faa0b6545b6c9710"},
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 [[package]]
 name = "colorama"
@@ -37,6 +128,28 @@ description = "Cross-platform colored terminal text."
 category = "main"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
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+
+[[package]]
+name = "coloredlogs"
+version = "15.0.1"
+description = "Colored terminal output for Python's logging module"
+category = "dev"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+files = [
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+[package.dependencies]
+humanfriendly = ">=9.1"
+
+[package.extras]
+cron = ["capturer (>=2.4)"]
 
 [[package]]
 name = "contourpy"
@@ -45,6 +158,47 @@ description = "Python library for calculating contours of 2D quadrilateral grids
 category = "main"
 optional = false
 python-versions = ">=3.8"
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 [package.dependencies]
 numpy = ">=1.16"
@@ -63,14 +217,66 @@ description = "Composable style cycles"
 category = "main"
 optional = false
 python-versions = ">=3.6"
+files = [
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+version = "23.5.26"
+description = "The FlatBuffers serialization format for Python"
+category = "dev"
+optional = false
+python-versions = "*"
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 [[package]]
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-version = "4.40.0"
+version = "4.41.0"
 description = "Tools to manipulate font files"
 category = "main"
 optional = false
 python-versions = ">=3.8"
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+]
 
 [package.extras]
 all = ["brotli (>=1.0.1)", "brotlicffi (>=0.8.0)", "fs (>=2.2.0,<3)", "lxml (>=4.0,<5)", "lz4 (>=1.7.4.2)", "matplotlib", "munkres", "scipy", "skia-pathops (>=0.5.0)", "sympy", "uharfbuzz (>=0.23.0)", "unicodedata2 (>=15.0.0)", "xattr", "zopfli (>=0.1.4)"]
@@ -88,11 +294,15 @@ woff = ["brotli (>=1.0.1)", "brotlicffi (>=0.8.0)", "zopfli (>=0.1.4)"]
 
 [[package]]
 name = "google-auth"
-version = "2.21.0"
+version = "2.22.0"
 description = "Google Authentication Library"
 category = "main"
 optional = false
 python-versions = ">=3.6"
+files = [
+    {file = "google-auth-2.22.0.tar.gz", hash = "sha256:164cba9af4e6e4e40c3a4f90a1a6c12ee56f14c0b4868d1ca91b32826ab334ce"},
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+]
 
 [package.dependencies]
 cachetools = ">=2.0.0,<6.0"
@@ -115,6 +325,10 @@ description = "Google Authentication Library"
 category = "main"
 optional = false
 python-versions = ">=3.6"
+files = [
+    {file = "google-auth-oauthlib-1.0.0.tar.gz", hash = "sha256:e375064964820b47221a7e1b7ee1fd77051b6323c3f9e3e19785f78ab67ecfc5"},
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+]
 
 [package.dependencies]
 google-auth = ">=2.15.0"
@@ -130,10 +344,72 @@ description = "HTTP/2-based RPC framework"
 category = "main"
 optional = false
 python-versions = ">=3.7"
+files = [
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+    {file = "grpcio-1.56.0.tar.gz", hash = "sha256:4c08ee21b3d10315b8dc26f6c13917b20ed574cdbed2d2d80c53d5508fdcc0f2"},
+]
 
 [package.extras]
 protobuf = ["grpcio-tools (>=1.56.0)"]
 
+[[package]]
+name = "humanfriendly"
+version = "10.0"
+description = "Human friendly output for text interfaces using Python"
+category = "dev"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+files = [
+    {file = "humanfriendly-10.0-py2.py3-none-any.whl", hash = "sha256:1697e1a8a8f550fd43c2865cd84542fc175a61dcb779b6fee18cf6b6ccba1477"},
+    {file = "humanfriendly-10.0.tar.gz", hash = "sha256:6b0b831ce8f15f7300721aa49829fc4e83921a9a301cc7f606be6686a2288ddc"},
+]
+
+[package.dependencies]
+pyreadline3 = {version = "*", markers = "sys_platform == \"win32\" and python_version >= \"3.8\""}
+
 [[package]]
 name = "idna"
 version = "3.4"
@@ -141,6 +417,10 @@ description = "Internationalized Domain Names in Applications (IDNA)"
 category = "main"
 optional = false
 python-versions = ">=3.5"
+files = [
+    {file = "idna-3.4-py3-none-any.whl", hash = "sha256:90b77e79eaa3eba6de819a0c442c0b4ceefc341a7a2ab77d7562bf49f425c5c2"},
+    {file = "idna-3.4.tar.gz", hash = "sha256:814f528e8dead7d329833b91c5faa87d60bf71824cd12a7530b5526063d02cb4"},
+]
 
 [[package]]
 name = "imageio"
@@ -149,6 +429,10 @@ description = "Library for reading and writing a wide range of image, video, sci
 category = "main"
 optional = false
 python-versions = ">=3.7"
+files = [
+    {file = "imageio-2.31.1-py3-none-any.whl", hash = "sha256:4106fb395ef7f8dc0262d6aa1bb03daba818445c381ca8b7d5dfc7a2089b04df"},
+    {file = "imageio-2.31.1.tar.gz", hash = "sha256:f8436a02af02fd63f272dab50f7d623547a38f0e04a4a73e2b02ae1b8b180f27"},
+]
 
 [package.dependencies]
 numpy = "*"
@@ -177,6 +461,10 @@ description = "Image augmentation library for deep neural networks"
 category = "main"
 optional = false
 python-versions = "*"
+files = [
+    {file = "imgaug-0.4.0-py2.py3-none-any.whl", hash = "sha256:ce61e65b4eb7405fc62c1b0a79d2fa92fd47f763aaecb65152d29243592111f9"},
+    {file = "imgaug-0.4.0.tar.gz", hash = "sha256:46bab63ed38f8980630ff721a09ca2281b7dbd4d8c11258818b6ebcc69ea46c7"},
+]
 
 [package.dependencies]
 imageio = "*"
@@ -191,11 +479,15 @@ six = "*"
 
 [[package]]
 name = "importlib-metadata"
-version = "6.7.0"
+version = "6.8.0"
 description = "Read metadata from Python packages"
 category = "main"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
+files = [
+    {file = "importlib_metadata-6.8.0-py3-none-any.whl", hash = "sha256:3ebb78df84a805d7698245025b975d9d67053cd94c79245ba4b3eb694abe68bb"},
+    {file = "importlib_metadata-6.8.0.tar.gz", hash = "sha256:dbace7892d8c0c4ac1ad096662232f831d4e64f4c4545bd53016a3e9d4654743"},
+]
 
 [package.dependencies]
 zipp = ">=0.5"
@@ -203,22 +495,26 @@ zipp = ">=0.5"
 [package.extras]
 docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
 perf = ["ipython"]
-testing = ["flufl.flake8", "importlib-resources (>=1.3)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-mypy (>=0.9.1)", "pytest-perf (>=0.9.2)", "pytest-ruff"]
+testing = ["flufl.flake8", "importlib-resources (>=1.3)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-perf (>=0.9.2)", "pytest-ruff"]
 
 [[package]]
 name = "importlib-resources"
-version = "5.12.0"
+version = "6.0.0"
 description = "Read resources from Python packages"
 category = "main"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
+files = [
+    {file = "importlib_resources-6.0.0-py3-none-any.whl", hash = "sha256:d952faee11004c045f785bb5636e8f885bed30dc3c940d5d42798a2a4541c185"},
+    {file = "importlib_resources-6.0.0.tar.gz", hash = "sha256:4cf94875a8368bd89531a756df9a9ebe1f150e0f885030b461237bc7f2d905f2"},
+]
 
 [package.dependencies]
 zipp = {version = ">=3.1.0", markers = "python_version < \"3.10\""}
 
 [package.extras]
-docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
-testing = ["flake8 (<5)", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)"]
+docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+testing = ["pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-ruff"]
 
 [[package]]
 name = "kiwisolver"
@@ -227,18 +523,92 @@ description = "A fast implementation of the Cassowary constraint solver"
 category = "main"
 optional = false
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 name = "lazy-loader"
-version = "0.2"
+version = "0.3"
 description = "lazy_loader"
 category = "main"
 optional = false
 python-versions = ">=3.7"
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 [[package]]
 name = "markdown"
@@ -247,6 +617,10 @@ description = "Python implementation of John Gruber's Markdown."
 category = "main"
 optional = false
 python-versions = ">=3.7"
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 [package.dependencies]
 importlib-metadata = {version = ">=4.4", markers = "python_version < \"3.10\""}
@@ -261,6 +635,10 @@ description = "Python port of markdown-it. Markdown parsing, done right!"
 category = "dev"
 optional = false
 python-versions = ">=3.8"
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 python-versions = ">=3.7"
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-
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-setuptools_scm = ">=7"
-
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-python-versions = ">=3.7"
-
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-
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@@ -1567,23 +1350,91 @@ pyyaml = [
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@@ -1629,15 +1507,40 @@ scipy = [
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@@ -1677,31 +1580,117 @@ shapely = [
     {file = "shapely-2.0.1-cp39-cp39-win_amd64.whl", hash = "sha256:bca57b683e3d94d0919e2f31e4d70fdfbb7059650ef1b431d9f4e045690edcd5"},
     {file = "shapely-2.0.1.tar.gz", hash = "sha256:66a6b1a3e72ece97fc85536a281476f9b7794de2e646ca8a4517e2e3c1446893"},
 ]
-six = [
+
+[package.dependencies]
+numpy = ">=1.14"
+
+[package.extras]
+docs = ["matplotlib", "numpydoc (>=1.1.0,<1.2.0)", "sphinx", "sphinx-book-theme", "sphinx-remove-toctrees"]
+test = ["pytest", "pytest-cov"]
+
+[[package]]
+name = "six"
+version = "1.16.0"
+description = "Python 2 and 3 compatibility utilities"
+category = "main"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
+files = [
     {file = "six-1.16.0-py2.py3-none-any.whl", hash = "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"},
     {file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"},
 ]
-tensorboard = [
+
+[[package]]
+name = "sympy"
+version = "1.12"
+description = "Computer algebra system (CAS) in Python"
+category = "dev"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "sympy-1.12-py3-none-any.whl", hash = "sha256:c3588cd4295d0c0f603d0f2ae780587e64e2efeedb3521e46b9bb1d08d184fa5"},
+    {file = "sympy-1.12.tar.gz", hash = "sha256:ebf595c8dac3e0fdc4152c51878b498396ec7f30e7a914d6071e674d49420fb8"},
+]
+
+[package.dependencies]
+mpmath = ">=0.19"
+
+[[package]]
+name = "tensorboard"
+version = "2.13.0"
+description = "TensorBoard lets you watch Tensors Flow"
+category = "main"
+optional = false
+python-versions = ">=3.8"
+files = [
     {file = "tensorboard-2.13.0-py3-none-any.whl", hash = "sha256:ab69961ebddbddc83f5fa2ff9233572bdad5b883778c35e4fe94bf1798bd8481"},
 ]
-tensorboard-data-server = [
+
+[package.dependencies]
+absl-py = ">=0.4"
+google-auth = ">=1.6.3,<3"
+google-auth-oauthlib = ">=0.5,<1.1"
+grpcio = ">=1.48.2"
+markdown = ">=2.6.8"
+numpy = ">=1.12.0"
+protobuf = ">=3.19.6"
+requests = ">=2.21.0,<3"
+setuptools = ">=41.0.0"
+tensorboard-data-server = ">=0.7.0,<0.8.0"
+werkzeug = ">=1.0.1"
+wheel = ">=0.26"
+
+[[package]]
+name = "tensorboard-data-server"
+version = "0.7.1"
+description = "Fast data loading for TensorBoard"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+files = [
     {file = "tensorboard_data_server-0.7.1-py3-none-any.whl", hash = "sha256:9938bd39f5041797b33921066fba0eab03a0dd10d1887a05e62ae58841ad4c3f"},
     {file = "tensorboard_data_server-0.7.1-py3-none-macosx_10_9_x86_64.whl", hash = "sha256:be8d016a1aa394e6198280d4a3dc37898f56467310c5f5e617cac10a783e055a"},
     {file = "tensorboard_data_server-0.7.1-py3-none-manylinux2014_x86_64.whl", hash = "sha256:255c02b7f5b03dd5c0a88c928e563441ff39e1d4b4a234cdbe09f016e53d9594"},
 ]
-terminaltables = [
+
+[[package]]
+name = "terminaltables"
+version = "3.1.10"
+description = "Generate simple tables in terminals from a nested list of strings."
+category = "main"
+optional = false
+python-versions = ">=2.6"
+files = [
     {file = "terminaltables-3.1.10-py2.py3-none-any.whl", hash = "sha256:e4fdc4179c9e4aab5f674d80f09d76fa436b96fdc698a8505e0a36bf0804a874"},
     {file = "terminaltables-3.1.10.tar.gz", hash = "sha256:ba6eca5cb5ba02bba4c9f4f985af80c54ec3dccf94cfcd190154386255e47543"},
 ]
-tifffile = [
-    {file = "tifffile-2023.4.12-py3-none-any.whl", hash = "sha256:3161954746fe32c4f4244d0fb2eb0a272f3a3760b78882a42faa83ac5e6e0b74"},
-    {file = "tifffile-2023.4.12.tar.gz", hash = "sha256:2fa99f9890caab919d932a0acaa9d0f5843dc2ef3594e212963932e20713badd"},
-]
-tomli = [
-    {file = "tomli-2.0.1-py3-none-any.whl", hash = "sha256:939de3e7a6161af0c887ef91b7d41a53e7c5a1ca976325f429cb46ea9bc30ecc"},
-    {file = "tomli-2.0.1.tar.gz", hash = "sha256:de526c12914f0c550d15924c62d72abc48d6fe7364aa87328337a31007fe8a4f"},
+
+[[package]]
+name = "tifffile"
+version = "2023.7.10"
+description = "Read and write TIFF files"
+category = "main"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "tifffile-2023.7.10-py3-none-any.whl", hash = "sha256:94dfdec321ace96abbfe872a66cfd824800c099a2db558443453eebc2c11b304"},
+    {file = "tifffile-2023.7.10.tar.gz", hash = "sha256:c06ec460926d16796eeee249a560bcdddf243daae36ac62af3c84a953cd60b4a"},
 ]
-torch = [
+
+[package.dependencies]
+numpy = "*"
+
+[package.extras]
+all = ["defusedxml", "fsspec", "imagecodecs (>=2023.1.23)", "lxml", "matplotlib", "zarr"]
+
+[[package]]
+name = "torch"
+version = "1.12.1"
+description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
+category = "main"
+optional = false
+python-versions = ">=3.7.0"
+files = [
     {file = "torch-1.12.1-cp310-cp310-manylinux1_x86_64.whl", hash = "sha256:9c038662db894a23e49e385df13d47b2a777ffd56d9bcd5b832593fab0a7e286"},
     {file = "torch-1.12.1-cp310-cp310-manylinux2014_aarch64.whl", hash = "sha256:4e1b9c14cf13fd2ab8d769529050629a0e68a6fc5cb8e84b4a3cc1dd8c4fe541"},
     {file = "torch-1.12.1-cp310-cp310-win_amd64.whl", hash = "sha256:e9c8f4a311ac29fc7e8e955cfb7733deb5dbe1bdaabf5d4af2765695824b7e0d"},
@@ -1723,11 +1712,30 @@ torch = [
     {file = "torch-1.12.1-cp39-none-macosx_10_9_x86_64.whl", hash = "sha256:bfec2843daa654f04fda23ba823af03e7b6f7650a873cdb726752d0e3718dada"},
     {file = "torch-1.12.1-cp39-none-macosx_11_0_arm64.whl", hash = "sha256:69fe2cae7c39ccadd65a123793d30e0db881f1c1927945519c5c17323131437e"},
 ]
-torchsummary = [
+
+[package.dependencies]
+typing-extensions = "*"
+
+[[package]]
+name = "torchsummary"
+version = "1.5.1"
+description = "Model summary in PyTorch similar to `model.summary()` in Keras"
+category = "main"
+optional = false
+python-versions = "*"
+files = [
     {file = "torchsummary-1.5.1-py3-none-any.whl", hash = "sha256:10f41d1743fb918f83293f13183f532ab1bb8f6639a1b89e5f8592ec1919a976"},
     {file = "torchsummary-1.5.1.tar.gz", hash = "sha256:981bf689e22e0cf7f95c746002f20a24ad26aa6b9d861134a14bc6ce92230590"},
 ]
-torchvision = [
+
+[[package]]
+name = "torchvision"
+version = "0.13.1"
+description = "image and video datasets and models for torch deep learning"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+files = [
     {file = "torchvision-0.13.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:19286a733c69dcbd417b86793df807bd227db5786ed787c17297741a9b0d0fc7"},
     {file = "torchvision-0.13.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:08f592ea61836ebeceb5c97f4d7a813b9d7dc651bbf7ce4401563ccfae6a21fc"},
     {file = "torchvision-0.13.1-cp310-cp310-manylinux1_x86_64.whl", hash = "sha256:ef5fe3ec1848123cd0ec74c07658192b3147dcd38e507308c790d5943e87b88c"},
@@ -1748,27 +1756,117 @@ torchvision = [
     {file = "torchvision-0.13.1-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:b167934a5943242da7b1e59318f911d2d253feeca0d13ad5d832b58eed943401"},
     {file = "torchvision-0.13.1-cp39-cp39-win_amd64.whl", hash = "sha256:0e77706cc90462653620e336bb90daf03d7bf1b88c3a9a3037df8d111823a56e"},
 ]
-tqdm = [
+
+[package.dependencies]
+numpy = "*"
+pillow = ">=5.3.0,<8.3.0 || >=8.4.0"
+requests = "*"
+torch = "1.12.1"
+typing-extensions = "*"
+
+[package.extras]
+scipy = ["scipy"]
+
+[[package]]
+name = "tqdm"
+version = "4.65.0"
+description = "Fast, Extensible Progress Meter"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+files = [
     {file = "tqdm-4.65.0-py3-none-any.whl", hash = "sha256:c4f53a17fe37e132815abceec022631be8ffe1b9381c2e6e30aa70edc99e9671"},
     {file = "tqdm-4.65.0.tar.gz", hash = "sha256:1871fb68a86b8fb3b59ca4cdd3dcccbc7e6d613eeed31f4c332531977b89beb5"},
 ]
-typing-extensions = [
-    {file = "typing_extensions-4.7.0-py3-none-any.whl", hash = "sha256:5d8c9dac95c27d20df12fb1d97b9793ab8b2af8a3a525e68c80e21060c161771"},
-    {file = "typing_extensions-4.7.0.tar.gz", hash = "sha256:935ccf31549830cda708b42289d44b6f74084d616a00be651601a4f968e77c82"},
+
+[package.dependencies]
+colorama = {version = "*", markers = "platform_system == \"Windows\""}
+
+[package.extras]
+dev = ["py-make (>=0.1.0)", "twine", "wheel"]
+notebook = ["ipywidgets (>=6)"]
+slack = ["slack-sdk"]
+telegram = ["requests"]
+
+[[package]]
+name = "typing-extensions"
+version = "4.7.1"
+description = "Backported and Experimental Type Hints for Python 3.7+"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "typing_extensions-4.7.1-py3-none-any.whl", hash = "sha256:440d5dd3af93b060174bf433bccd69b0babc3b15b1a8dca43789fd7f61514b36"},
+    {file = "typing_extensions-4.7.1.tar.gz", hash = "sha256:b75ddc264f0ba5615db7ba217daeb99701ad295353c45f9e95963337ceeeffb2"},
 ]
-urllib3 = [
+
+[[package]]
+name = "urllib3"
+version = "1.26.16"
+description = "HTTP library with thread-safe connection pooling, file post, and more."
+category = "main"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
+files = [
     {file = "urllib3-1.26.16-py2.py3-none-any.whl", hash = "sha256:8d36afa7616d8ab714608411b4a3b13e58f463aee519024578e062e141dce20f"},
     {file = "urllib3-1.26.16.tar.gz", hash = "sha256:8f135f6502756bde6b2a9b28989df5fbe87c9970cecaa69041edcce7f0589b14"},
 ]
-werkzeug = [
+
+[package.extras]
+brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)", "brotlipy (>=0.6.0)"]
+secure = ["certifi", "cryptography (>=1.3.4)", "idna (>=2.0.0)", "ipaddress", "pyOpenSSL (>=0.14)", "urllib3-secure-extra"]
+socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"]
+
+[[package]]
+name = "werkzeug"
+version = "2.3.6"
+description = "The comprehensive WSGI web application library."
+category = "main"
+optional = false
+python-versions = ">=3.8"
+files = [
     {file = "Werkzeug-2.3.6-py3-none-any.whl", hash = "sha256:935539fa1413afbb9195b24880778422ed620c0fc09670945185cce4d91a8890"},
     {file = "Werkzeug-2.3.6.tar.gz", hash = "sha256:98c774df2f91b05550078891dee5f0eb0cb797a522c757a2452b9cee5b202330"},
 ]
-wheel = [
+
+[package.dependencies]
+MarkupSafe = ">=2.1.1"
+
+[package.extras]
+watchdog = ["watchdog (>=2.3)"]
+
+[[package]]
+name = "wheel"
+version = "0.40.0"
+description = "A built-package format for Python"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+files = [
     {file = "wheel-0.40.0-py3-none-any.whl", hash = "sha256:d236b20e7cb522daf2390fa84c55eea81c5c30190f90f29ae2ca1ad8355bf247"},
     {file = "wheel-0.40.0.tar.gz", hash = "sha256:cd1196f3faee2b31968d626e1731c94f99cbdb67cf5a46e4f5656cbee7738873"},
 ]
-zipp = [
-    {file = "zipp-3.15.0-py3-none-any.whl", hash = "sha256:48904fc76a60e542af151aded95726c1a5c34ed43ab4134b597665c86d7ad556"},
-    {file = "zipp-3.15.0.tar.gz", hash = "sha256:112929ad649da941c23de50f356a2b5570c954b65150642bccdd66bf194d224b"},
+
+[package.extras]
+test = ["pytest (>=6.0.0)"]
+
+[[package]]
+name = "zipp"
+version = "3.16.1"
+description = "Backport of pathlib-compatible object wrapper for zip files"
+category = "main"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "zipp-3.16.1-py3-none-any.whl", hash = "sha256:0b37c326d826d5ca35f2b9685cd750292740774ef16190008b00a0227c256fe0"},
+    {file = "zipp-3.16.1.tar.gz", hash = "sha256:857b158da2cbf427b376da1c24fd11faecbac5a4ac7523c3607f8a01f94c2ec0"},
 ]
+
+[package.extras]
+docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-ruff"]
+
+[metadata]
+lock-version = "2.0"
+python-versions = ">=3.8,<4.0"
+content-hash = "d0b4dc38591a7f161ca6ce10a0ad44519426e3fb0232963fc889735ba7bca8ad"
diff --git a/pyproject.toml b/pyproject.toml
index fd390c7..ec50902 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "YOEO"
-version = "1.4.0"
+version = "1.4.1"
 description = "A hybrid CNN for object detection and semantic segmentation"
 authors = ["Florian Vahl <git@flova.de>", "Jan Gutsche <git@jagut.de>"]
 
@@ -20,6 +20,7 @@ PyYAML = "^6.0"
 opencv-python = "^4.5.2"
 
 [tool.poetry.dev-dependencies]
+onnxruntime = "^1.14.0"
 profilehooks = "^1.12.0"
 onnx = "^1.9.0"
 onnx-simplifier = "^0.3.5"
@@ -34,3 +35,4 @@ yoeo-train = "yoeo.train:run"
 yoeo-test = "yoeo.test:run"
 yoeo-to-onnx = "yoeo.scripts.convertPyTorchModelToONNX:run"
 yoeo-onnx-to-openvino = "yoeo.scripts.convertONNXModelToOpenVinoIR:run"
+yoeo-onnx-to-tvm = "yoeo.scripts.convertONNXModelToTVM:run"
diff --git a/yoeo/scripts/convertONNXModelToTVM.py b/yoeo/scripts/convertONNXModelToTVM.py
new file mode 100644
index 0000000..e39b7de
--- /dev/null
+++ b/yoeo/scripts/convertONNXModelToTVM.py
@@ -0,0 +1,118 @@
+import argparse
+import sys
+from shutil import copyfile
+
+import onnx
+
+try:
+    from tvm.driver import tvmc
+    from tvm.driver.tvmc.model import TVMCModel
+    from tvm.relay.transform import ToMixedPrecision
+    from tvm import relay
+except ModuleNotFoundError:
+    print("Please install Apache TVM!")
+    sys.exit(1)
+
+
+def make_parser():
+    parser = argparse.ArgumentParser("YOEO TVM Tuning")
+    parser.add_argument(
+        "onnx_path",
+        type=str,
+        help="Path to the simplified onnx model")
+    parser.add_argument(
+        "--input_size",
+        default=416,
+        type=int,
+        help="Input image size")
+    parser.add_argument(
+        "-t",
+        "--trials",
+        default=20000,
+        type=int,
+        help="Number of tuning trials")
+    parser.add_argument(
+        "--half",
+        default=False,
+        action="store_true",
+        help="Tune with mixed precision instead of full precision (FP32)."
+    )
+    parser.add_argument(
+        "--no_tuning",
+        default=False,
+        action="store_true",
+        help="Disables the tuning of the model for testing purposes."
+    )
+    parser.add_argument(
+        "-c",
+        "--tuning_record_checkpoint",
+        default=None,
+        type=str,
+        help="Prior tuning records")
+    parser.add_argument(
+        "-r",
+        "--output_tuning_records",
+        default="tuning_records.json",
+        type=str,
+        help="Path to the tuning records that are created for this optimization")
+    parser.add_argument(
+        "-t",
+        "--target",
+        default="vulkan -from_device=0",
+        type=str,
+        help="Target device (e.g. 'llvm' (CPU), 'vulkan' (GPU) or 'cuda' (GPU))")
+    parser.add_argument(
+        "-o",
+        "--output_model",
+        default="compiled_model.tar",
+        type=str,
+        help="File where the compiled model is saved after the tuning.")
+    return parser
+
+
+def run():
+    # Make CLI
+    args = make_parser().parse_args()
+
+    # Define model input
+    input_name = "InputLayer"
+    shape_list = {input_name : (1, 3, args.input_size, args.input_size)}
+
+    # Load onnx model into TVM
+    onnx_model = onnx.load(args.onnx_path)
+    mod, params = relay.frontend.from_onnx(onnx_model, shape_list)
+
+    # Convert model to FP16 (half)
+    if args.half:
+        mod = ToMixedPrecision(mixed_precision_type='float16')(mod)
+
+    # Build an TVM Compiler model
+    tvmc_model = TVMCModel(mod, params)
+
+    
+    # Tune the model (depending on the hardware and parameters this takes days)
+    if not args.no_tuning:
+        tvmc.tune(
+                tvmc_model,
+                target=args.target,
+                prior_records=args.tuning_record_checkpoint,
+                tuning_records=args.output_tuning_records,
+                min_repeat_ms=200,
+                number=20,
+                repeat=3,
+                trials=args.trials,
+                enable_autoscheduler=True
+            )
+
+    # Compile the model based on the optimizations discovered in the tuning
+    package = tvmc.compile(
+        tvmc_model,
+        target=args.target,
+        tuning_records=args.output_tuning_records)
+
+    # Copy the temporary compiler result to the correct destination
+    copyfile(package.package_path, args.output_model)
+
+
+if __name__ == "__main__":
+    run()