From 494708a37664a6b44642c3595ec2fb9b97a36886 Mon Sep 17 00:00:00 2001
From: slashtechno <77907286+slashtechno@users.noreply.github.com>
Date: Sun, 11 Feb 2024 15:41:46 -0600
Subject: [PATCH] Supress TensorFlow warnings; update dependencies

Also use PrettyTable to list source resolution
---
 poetry.lock                  | 1344 +++++++++++++++++++---------------
 pyproject.toml               |    4 +-
 wyzely_detect/__main__.py    |   28 +-
 wyzely_detect/utils/utils.py |    9 +-
 4 files changed, 791 insertions(+), 594 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index 0e79ba9..e8743f9 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -2,13 +2,13 @@
 
 [[package]]
 name = "absl-py"
-version = "2.0.0"
+version = "2.1.0"
 description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py."
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "absl-py-2.0.0.tar.gz", hash = "sha256:d9690211c5fcfefcdd1a45470ac2b5c5acd45241c3af71eed96bc5441746c0d5"},
-    {file = "absl_py-2.0.0-py3-none-any.whl", hash = "sha256:9a28abb62774ae4e8edbe2dd4c49ffcd45a6a848952a5eccc6a49f3f0fc1e2f3"},
+    {file = "absl-py-2.1.0.tar.gz", hash = "sha256:7820790efbb316739cde8b4e19357243fc3608a152024288513dd968d7d959ff"},
+    {file = "absl_py-2.1.0-py3-none-any.whl", hash = "sha256:526a04eadab8b4ee719ce68f204172ead1027549089702d99b9059f129ff1308"},
 ]
 
 [[package]]
@@ -35,13 +35,13 @@ trio = ["trio (>=0.23)"]
 
 [[package]]
 name = "appnope"
-version = "0.1.3"
+version = "0.1.4"
 description = "Disable App Nap on macOS >= 10.9"
 optional = false
-python-versions = "*"
+python-versions = ">=3.6"
 files = [
-    {file = "appnope-0.1.3-py2.py3-none-any.whl", hash = "sha256:265a455292d0bd8a72453494fa24df5a11eb18373a60c7c0430889f22548605e"},
-    {file = "appnope-0.1.3.tar.gz", hash = "sha256:02bd91c4de869fbb1e1c50aafc4098827a7a54ab2f39d9dcba6c9547ed920e24"},
+    {file = "appnope-0.1.4-py2.py3-none-any.whl", hash = "sha256:502575ee11cd7a28c0205f379b525beefebab9d161b7c964670864014ed7213c"},
+    {file = "appnope-0.1.4.tar.gz", hash = "sha256:1de3860566df9caf38f01f86f65e0e13e379af54f9e4bee1e66b48f2efffd1ee"},
 ]
 
 [[package]]
@@ -98,19 +98,22 @@ tests-no-zope = ["attrs[tests-mypy]", "cloudpickle", "hypothesis", "pympler", "p
 
 [[package]]
 name = "beautifulsoup4"
-version = "4.12.2"
+version = "4.12.3"
 description = "Screen-scraping library"
 optional = false
 python-versions = ">=3.6.0"
 files = [
-    {file = "beautifulsoup4-4.12.2-py3-none-any.whl", hash = "sha256:bd2520ca0d9d7d12694a53d44ac482d181b4ec1888909b035a3dbf40d0f57d4a"},
-    {file = "beautifulsoup4-4.12.2.tar.gz", hash = "sha256:492bbc69dca35d12daac71c4db1bfff0c876c00ef4a2ffacce226d4638eb72da"},
+    {file = "beautifulsoup4-4.12.3-py3-none-any.whl", hash = "sha256:b80878c9f40111313e55da8ba20bdba06d8fa3969fc68304167741bbf9e082ed"},
+    {file = "beautifulsoup4-4.12.3.tar.gz", hash = "sha256:74e3d1928edc070d21748185c46e3fb33490f22f52a3addee9aee0f4f7781051"},
 ]
 
 [package.dependencies]
 soupsieve = ">1.2"
 
 [package.extras]
+cchardet = ["cchardet"]
+chardet = ["chardet"]
+charset-normalizer = ["charset-normalizer"]
 html5lib = ["html5lib"]
 lxml = ["lxml"]
 
@@ -202,13 +205,13 @@ files = [
 
 [[package]]
 name = "certifi"
-version = "2023.11.17"
+version = "2024.2.2"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
 python-versions = ">=3.6"
 files = [
-    {file = "certifi-2023.11.17-py3-none-any.whl", hash = "sha256:e036ab49d5b79556f99cfc2d9320b34cfbe5be05c5871b51de9329f0603b0474"},
-    {file = "certifi-2023.11.17.tar.gz", hash = "sha256:9b469f3a900bf28dc19b8cfbf8019bf47f7fdd1a65a1d4ffb98fc14166beb4d1"},
+    {file = "certifi-2024.2.2-py3-none-any.whl", hash = "sha256:dc383c07b76109f368f6106eee2b593b04a011ea4d55f652c6ca24a754d1cdd1"},
+    {file = "certifi-2024.2.2.tar.gz", hash = "sha256:0569859f95fc761b18b45ef421b1290a0f65f147e92a1e5eb3e635f9a5e4e66f"},
 ]
 
 [[package]]
@@ -401,13 +404,13 @@ files = [
 
 [[package]]
 name = "comm"
-version = "0.2.0"
+version = "0.2.1"
 description = "Jupyter Python Comm implementation, for usage in ipykernel, xeus-python etc."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "comm-0.2.0-py3-none-any.whl", hash = "sha256:2da8d9ebb8dd7bfc247adaff99f24dce705638a8042b85cb995066793e391001"},
-    {file = "comm-0.2.0.tar.gz", hash = "sha256:a517ea2ca28931c7007a7a99c562a0fa5883cfb48963140cf642c41c948498be"},
+    {file = "comm-0.2.1-py3-none-any.whl", hash = "sha256:87928485c0dfc0e7976fd89fc1e187023cf587e7c353e4a9b417555b44adf021"},
+    {file = "comm-0.2.1.tar.gz", hash = "sha256:0bc91edae1344d39d3661dcbc36937181fdaddb304790458f8b044dbc064b89a"},
 ]
 
 [package.dependencies]
@@ -496,29 +499,33 @@ tests = ["pytest", "pytest-cov", "pytest-xdist"]
 
 [[package]]
 name = "debugpy"
-version = "1.8.0"
+version = "1.8.1"
 description = "An implementation of the Debug Adapter Protocol for Python"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [[package]]
@@ -643,13 +650,13 @@ termcolor = "*"
 
 [[package]]
 name = "flask"
-version = "3.0.0"
+version = "3.0.2"
 description = "A simple framework for building complex web applications."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "flask-3.0.0-py3-none-any.whl", hash = "sha256:21128f47e4e3b9d597a3e8521a329bf56909b690fcc3fa3e477725aa81367638"},
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+    {file = "flask-3.0.2-py3-none-any.whl", hash = "sha256:3232e0e9c850d781933cf0207523d1ece087eb8d87b23777ae38456e2fbe7c6e"},
+    {file = "flask-3.0.2.tar.gz", hash = "sha256:822c03f4b799204250a7ee84b1eddc40665395333973dfb9deebfe425fefcb7d"},
 ]
 
 [package.dependencies]
@@ -676,60 +683,60 @@ files = [
 
 [[package]]
 name = "fonttools"
-version = "4.47.0"
+version = "4.48.1"
 description = "Tools to manipulate font files"
 optional = false
 python-versions = ">=3.8"
 files = [
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 graphite = ["lz4 (>=1.7.4.2)"]
 interpolatable = ["munkres", "pycairo", "scipy"]
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 pathops = ["skia-pathops (>=0.5.0)"]
 plot = ["matplotlib"]
 repacker = ["uharfbuzz (>=0.23.0)"]
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 [[package]]
 name = "fsspec"
-version = "2023.12.2"
+version = "2024.2.0"
 description = "File-system specification"
 optional = false
 python-versions = ">=3.8"
 files = [
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@@ -765,7 +772,7 @@ github = ["requests"]
 gs = ["gcsfs"]
 gui = ["panel"]
 hdfs = ["pyarrow (>=1)"]
-http = ["aiohttp (!=4.0.0a0,!=4.0.0a1)", "requests"]
+http = ["aiohttp (!=4.0.0a0,!=4.0.0a1)"]
 libarchive = ["libarchive-c"]
 oci = ["ocifs"]
 s3 = ["s3fs"]
@@ -787,31 +794,33 @@ files = [
 
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-description = "Google Drive direct download of big files."
+version = "5.1.0"
+description = "Google Drive Public File/Folder Downloader"
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-python-versions = "*"
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 [package.dependencies]
 beautifulsoup4 = "*"
 filelock = "*"
 requests = {version = "*", extras = ["socks"]}
-six = "*"
 tqdm = "*"
 
+[package.extras]
+test = ["build", "mypy", "pytest", "pytest-xdist", "ruff", "twine", "types-requests"]
+
 [[package]]
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 [package.extras]
-protobuf = ["grpcio-tools (>=1.60.0)"]
+protobuf = ["grpcio-tools (>=1.60.1)"]
 
 [[package]]
 name = "gunicorn"
@@ -1062,13 +1071,13 @@ files = [
 
 [[package]]
 name = "ipykernel"
-version = "6.28.0"
+version = "6.29.2"
 description = "IPython Kernel for Jupyter"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -1091,17 +1100,17 @@ cov = ["coverage[toml]", "curio", "matplotlib", "pytest-cov", "trio"]
 docs = ["myst-parser", "pydata-sphinx-theme", "sphinx", "sphinx-autodoc-typehints", "sphinxcontrib-github-alt", "sphinxcontrib-spelling", "trio"]
 pyqt5 = ["pyqt5"]
 pyside6 = ["pyside6"]
-test = ["flaky", "ipyparallel", "pre-commit", "pytest (>=7.0)", "pytest-asyncio", "pytest-cov", "pytest-timeout"]
+test = ["flaky", "ipyparallel", "pre-commit", "pytest (>=7.0)", "pytest-asyncio (==0.23.4)", "pytest-cov", "pytest-timeout"]
 
 [[package]]
 name = "ipython"
-version = "8.19.0"
+version = "8.21.0"
 description = "IPython: Productive Interactive Computing"
 optional = false
 python-versions = ">=3.10"
 files = [
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 ]
 
 [package.dependencies]
@@ -1117,17 +1126,17 @@ stack-data = "*"
 traitlets = ">=5"
 
 [package.extras]
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+all = ["black", "curio", "docrepr", "exceptiongroup", "ipykernel", "ipyparallel", "ipywidgets", "matplotlib", "matplotlib (!=3.2.0)", "nbconvert", "nbformat", "notebook", "numpy (>=1.23)", "pandas", "pickleshare", "pytest (<8)", "pytest-asyncio (<0.22)", "qtconsole", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "stack-data", "testpath", "trio", "typing-extensions"]
 black = ["black"]
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+doc = ["docrepr", "exceptiongroup", "ipykernel", "matplotlib", "pickleshare", "pytest (<8)", "pytest-asyncio (<0.22)", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "stack-data", "testpath", "typing-extensions"]
 kernel = ["ipykernel"]
 nbconvert = ["nbconvert"]
 nbformat = ["nbformat"]
 notebook = ["ipywidgets", "notebook"]
 parallel = ["ipyparallel"]
 qtconsole = ["qtconsole"]
-test = ["pickleshare", "pytest", "pytest-asyncio (<0.22)", "testpath"]
-test-extra = ["curio", "matplotlib (!=3.2.0)", "nbformat", "numpy (>=1.23)", "pandas", "pickleshare", "pytest", "pytest-asyncio (<0.22)", "testpath", "trio"]
+test = ["pickleshare", "pytest (<8)", "pytest-asyncio (<0.22)", "testpath"]
+test-extra = ["curio", "matplotlib (!=3.2.0)", "nbformat", "numpy (>=1.23)", "pandas", "pickleshare", "pytest (<8)", "pytest-asyncio (<0.22)", "testpath", "trio"]
 
 [[package]]
 name = "itsdangerous"
@@ -1161,13 +1170,13 @@ testing = ["Django", "attrs", "colorama", "docopt", "pytest (<7.0.0)"]
 
 [[package]]
 name = "jinja2"
-version = "3.1.2"
+version = "3.1.3"
 description = "A very fast and expressive template engine."
 optional = false
 python-versions = ">=3.7"
 files = [
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 [package.dependencies]
@@ -1178,13 +1187,13 @@ i18n = ["Babel (>=2.7)"]
 
 [[package]]
 name = "jsonschema"
-version = "4.20.0"
+version = "4.21.1"
 description = "An implementation of JSON Schema validation for Python"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -1235,13 +1244,13 @@ test = ["coverage", "ipykernel (>=6.14)", "mypy", "paramiko", "pre-commit", "pyt
 
 [[package]]
 name = "jupyter-core"
-version = "5.5.1"
+version = "5.7.1"
 description = "Jupyter core package. A base package on which Jupyter projects rely."
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 python-versions = ">=3.8"
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 [package.dependencies]
@@ -1410,13 +1419,13 @@ files = [
 
 [[package]]
 name = "markdown"
-version = "3.5.1"
+version = "3.5.2"
 description = "Python implementation of John Gruber's Markdown."
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.extras]
@@ -1425,71 +1434,71 @@ testing = ["coverage", "pyyaml"]
 
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 [package.dependencies]
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 pytz = ">=2020.1"
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 [[package]]
@@ -1985,85 +2112,103 @@ ptyprocess = ">=0.5"
 
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 [[package]]
 name = "prettytable"
@@ -2098,47 +2243,47 @@ wcwidth = "*"
 
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 [package.extras]
@@ -2273,13 +2418,13 @@ six = ">=1.5"
 
 [[package]]
 name = "python-dotenv"
-version = "1.0.0"
+version = "1.0.1"
 description = "Read key-value pairs from a .env file and set them as environment variables"
 optional = false
 python-versions = ">=3.8"
 files = [
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 [package.extras]
@@ -2287,13 +2432,13 @@ cli = ["click (>=5.0)"]
 
 [[package]]
 name = "pytz"
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+version = "2024.1"
 description = "World timezone definitions, modern and historical"
 optional = false
 python-versions = "*"
 files = [
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 ]
 
 [[package]]
@@ -2485,13 +2630,13 @@ cffi = {version = "*", markers = "implementation_name == \"pypy\""}
 
 [[package]]
 name = "referencing"
-version = "0.32.0"
+version = "0.33.0"
 description = "JSON Referencing + Python"
 optional = false
 python-versions = ">=3.8"
 files = [
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 [[package]]
 name = "seaborn"
-version = "0.13.1"
+version = "0.13.2"
 description = "Statistical data visualization"
 optional = false
 python-versions = ">=3.8"
 files = [
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 [package.dependencies]
@@ -2921,6 +3066,16 @@ keras = ">=2.14.0,<2.15"
 libclang = ">=13.0.0"
 ml-dtypes = "0.2.0"
 numpy = ">=1.23.5,<2.0.0"
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+nvidia-cuda-nvcc-cu11 = {version = "11.8.89", optional = true, markers = "extra == \"and-cuda\""}
+nvidia-cuda-runtime-cu11 = {version = "11.8.89", optional = true, markers = "extra == \"and-cuda\""}
+nvidia-cudnn-cu11 = {version = "8.7.0.84", optional = true, markers = "extra == \"and-cuda\""}
+nvidia-cufft-cu11 = {version = "10.9.0.58", optional = true, markers = "extra == \"and-cuda\""}
+nvidia-curand-cu11 = {version = "10.3.0.86", optional = true, markers = "extra == \"and-cuda\""}
+nvidia-cusolver-cu11 = {version = "11.4.1.48", optional = true, markers = "extra == \"and-cuda\""}
+nvidia-cusparse-cu11 = {version = "11.7.5.86", optional = true, markers = "extra == \"and-cuda\""}
+nvidia-nccl-cu11 = {version = "2.16.5", optional = true, markers = "extra == \"and-cuda\""}
 opt-einsum = ">=2.3.2"
 packaging = "*"
 protobuf = ">=3.20.3,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<5.0.0dev"
@@ -2929,6 +3084,7 @@ six = ">=1.12.0"
 tensorboard = ">=2.14,<2.15"
 tensorflow-estimator = ">=2.14.0,<2.15"
 tensorflow-io-gcs-filesystem = ">=0.23.1"
+tensorrt = {version = "8.5.3.1", optional = true, markers = "extra == \"and-cuda\""}
 termcolor = ">=1.1.0"
 typing-extensions = ">=3.6.6"
 wrapt = ">=1.11.0,<1.15"
@@ -2981,6 +3137,28 @@ tensorflow-cpu = ["tensorflow-cpu (>=2.11.0,<2.12.0)"]
 tensorflow-gpu = ["tensorflow-gpu (>=2.11.0,<2.12.0)"]
 tensorflow-rocm = ["tensorflow-rocm (>=2.11.0,<2.12.0)"]
 
+[[package]]
+name = "tensorrt"
+version = "8.5.3.1"
+description = "A high performance deep learning inference library"
+optional = true
+python-versions = "*"
+files = [
+    {file = "tensorrt-8.5.3.1-cp310-none-manylinux_2_17_x86_64.whl", hash = "sha256:00375391073e51c1d662cc116f5472a921f27d75bb617c0195b3479633c625f3"},
+    {file = "tensorrt-8.5.3.1-cp36-none-manylinux_2_17_x86_64.whl", hash = "sha256:a88f0e0dc0d604232c4ee155f2266b179a783fc2268291701581b02ac5b90c4c"},
+    {file = "tensorrt-8.5.3.1-cp37-none-manylinux_2_17_x86_64.whl", hash = "sha256:8b7b848a995ccfa08b328c864682a6696d0f01af823af78e73e1ab54fb19d1ae"},
+    {file = "tensorrt-8.5.3.1-cp38-none-manylinux_2_17_x86_64.whl", hash = "sha256:702a122b8d533765534632d8df646497e010b24ff296c957eb5519170ffd9860"},
+    {file = "tensorrt-8.5.3.1-cp39-none-manylinux_2_17_x86_64.whl", hash = "sha256:77f6db65af8ed5f819de0487350f0f447ed14eeccde5dae83fdf1027b89df2a0"},
+]
+
+[package.dependencies]
+nvidia-cublas-cu11 = "*"
+nvidia-cuda-runtime-cu11 = "*"
+nvidia-cudnn-cu11 = "*"
+
+[package.extras]
+numpy = ["numpy"]
+
 [[package]]
 name = "termcolor"
 version = "2.4.0"
@@ -3166,13 +3344,13 @@ files = [
 
 [[package]]
 name = "tqdm"
-version = "4.66.1"
+version = "4.66.2"
 description = "Fast, Extensible Progress Meter"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "tqdm-4.66.1-py3-none-any.whl", hash = "sha256:d302b3c5b53d47bce91fea46679d9c3c6508cf6332229aa1e7d8653723793386"},
-    {file = "tqdm-4.66.1.tar.gz", hash = "sha256:d88e651f9db8d8551a62556d3cff9e3034274ca5d66e93197cf2490e2dcb69c7"},
+    {file = "tqdm-4.66.2-py3-none-any.whl", hash = "sha256:1ee4f8a893eb9bef51c6e35730cebf234d5d0b6bd112b0271e10ed7c24a02bd9"},
+    {file = "tqdm-4.66.2.tar.gz", hash = "sha256:6cd52cdf0fef0e0f543299cfc96fec90d7b8a7e88745f411ec33eb44d5ed3531"},
 ]
 
 [package.dependencies]
@@ -3186,13 +3364,13 @@ telegram = ["requests"]
 
 [[package]]
 name = "traitlets"
-version = "5.14.0"
+version = "5.14.1"
 description = "Traitlets Python configuration system"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "traitlets-5.14.0-py3-none-any.whl", hash = "sha256:f14949d23829023013c47df20b4a76ccd1a85effb786dc060f34de7948361b33"},
-    {file = "traitlets-5.14.0.tar.gz", hash = "sha256:fcdaa8ac49c04dfa0ed3ee3384ef6dfdb5d6f3741502be247279407679296772"},
+    {file = "traitlets-5.14.1-py3-none-any.whl", hash = "sha256:2e5a030e6eff91737c643231bfcf04a65b0132078dad75e4936700b213652e74"},
+    {file = "traitlets-5.14.1.tar.gz", hash = "sha256:8585105b371a04b8316a43d5ce29c098575c2e477850b62b848b964f1444527e"},
 ]
 
 [package.extras]
@@ -3248,13 +3426,13 @@ files = [
 
 [[package]]
 name = "ultralytics"
-version = "8.0.231"
+version = "8.1.11"
 description = "Ultralytics YOLOv8 for SOTA object detection, multi-object tracking, instance segmentation, pose estimation and image classification."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "ultralytics-8.0.231-py3-none-any.whl", hash = "sha256:bad23d0a13a466bb4839740c7f07d756e65934081d05d3a4f7f0676fc84657dc"},
-    {file = "ultralytics-8.0.231.tar.gz", hash = "sha256:f7647c143e516f7e63b625f10896bf82a8d49cf1ba5e920a2863f9f40204b4c6"},
+    {file = "ultralytics-8.1.11-py3-none-any.whl", hash = "sha256:38b4e45d344f0a2b1d2ce97d89723527a0059d3c7f7d0cdc404bc743ca5c626a"},
+    {file = "ultralytics-8.1.11.tar.gz", hash = "sha256:7e7e53598a3766a0c0407aaf7a90aff45c60d6aee21ecf744de71be6421d0e72"},
 ]
 
 [package.dependencies]
@@ -3275,36 +3453,38 @@ torchvision = ">=0.9.0"
 tqdm = ">=4.64.0"
 
 [package.extras]
-dev = ["check-manifest", "coverage[toml]", "ipython", "mkdocs-material", "mkdocs-redirects", "mkdocs-ultralytics-plugin (>=0.0.34)", "mkdocstrings[python]", "pre-commit", "pytest", "pytest-cov"]
-export = ["coremltools (>=7.0)", "jax (<=0.4.21)", "jaxlib (<=0.4.21)", "onnx (>=1.12.0)", "openvino-dev (>=2023.0)", "tensorflow (<=2.13.1)", "tensorflowjs (>=3.9.0)"]
-extra = ["albumentations (>=1.0.3)", "ipython", "pycocotools (>=2.0.6)"]
+dev = ["check-manifest", "coverage[toml]", "ipython", "mkdocs-jupyter", "mkdocs-material", "mkdocs-redirects", "mkdocs-ultralytics-plugin (>=0.0.43)", "mkdocstrings[python]", "pre-commit", "pytest", "pytest-cov"]
+explorer = ["duckdb", "lancedb", "streamlit"]
+export = ["coremltools (>=7.0)", "onnx (>=1.12.0)", "openvino-dev (>=2023.0)", "tensorflow (<=2.13.1)", "tensorflowjs (>=3.9.0)"]
+extra = ["albumentations (>=1.0.3)", "hub-sdk (>=0.0.2)", "ipython", "pycocotools (>=2.0.6)"]
 logging = ["comet", "dvclive (>=2.12.0)", "tensorboard (>=2.13.0)"]
 
 [[package]]
 name = "urllib3"
-version = "2.1.0"
+version = "2.2.0"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "urllib3-2.1.0-py3-none-any.whl", hash = "sha256:55901e917a5896a349ff771be919f8bd99aff50b79fe58fec595eb37bbc56bb3"},
-    {file = "urllib3-2.1.0.tar.gz", hash = "sha256:df7aa8afb0148fa78488e7899b2c59b5f4ffcfa82e6c54ccb9dd37c1d7b52d54"},
+    {file = "urllib3-2.2.0-py3-none-any.whl", hash = "sha256:ce3711610ddce217e6d113a2732fafad960a03fd0318c91faa79481e35c11224"},
+    {file = "urllib3-2.2.0.tar.gz", hash = "sha256:051d961ad0c62a94e50ecf1af379c3aba230c66c710493493560c0c223c49f20"},
 ]
 
 [package.extras]
 brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"]
+h2 = ["h2 (>=4,<5)"]
 socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
 zstd = ["zstandard (>=0.18.0)"]
 
 [[package]]
 name = "wcwidth"
-version = "0.2.12"
+version = "0.2.13"
 description = "Measures the displayed width of unicode strings in a terminal"
 optional = false
 python-versions = "*"
 files = [
-    {file = "wcwidth-0.2.12-py2.py3-none-any.whl", hash = "sha256:f26ec43d96c8cbfed76a5075dac87680124fa84e0855195a6184da9c187f133c"},
-    {file = "wcwidth-0.2.12.tar.gz", hash = "sha256:f01c104efdf57971bcb756f054dd58ddec5204dd15fa31d6503ea57947d97c02"},
+    {file = "wcwidth-0.2.13-py2.py3-none-any.whl", hash = "sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859"},
+    {file = "wcwidth-0.2.13.tar.gz", hash = "sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5"},
 ]
 
 [[package]]
@@ -3438,4 +3618,4 @@ cuda = []
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.10, <3.12"
-content-hash = "afccb2c101f032f98e359c16301255f6b1be4fdb4054264d1a7cb2ebba74717d"
+content-hash = "e158655385434802fc095f19c2fd22718379ecb71e0e4c1ade266f23da315bc4"
diff --git a/pyproject.toml b/pyproject.toml
index 7da2d9b..4cb31da 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -23,7 +23,7 @@ numpy = "^1.23.2"
 
 # https://github.com/python-poetry/poetry/issues/6409#issuecomment-1911735833
 # To install with GPU, use poetry install -E cuda --with gpu
-torch = {version = "^2.1.2", source = "pytorch-cpu", markers = "extra!='cuda'" }
+torch = {version = "2.1.*", source = "pytorch-cpu", markers = "extra!='cuda'" }
 
 # https://stackoverflow.com/a/76477590/18270659
 # https://discfuss.tensorflow.org/t/tensorflow-io-gcs-filesystem-with-windows/18849/4
@@ -45,7 +45,7 @@ prettytable = "^3.9.0"
 optional = true
 
 [tool.poetry.group.gpu.dependencies]
-torch = {version = "^2.1.2", source = "pytorch-cu121", markers = "extra=='cuda'"}
+torch = {version = "2.1.*", source = "pytorch-cu121", markers = "extra=='cuda'"}
 tensorflow = {version = "^2.14.0", extras = ["and-cuda"], markers = "extra=='cuda'"}
 
 [tool.poetry.extras]
diff --git a/wyzely_detect/__main__.py b/wyzely_detect/__main__.py
index 5debc7b..dc02114 100644
--- a/wyzely_detect/__main__.py
+++ b/wyzely_detect/__main__.py
@@ -1,6 +1,7 @@
 # import face_recognition
 from pathlib import Path
 import cv2
+import os
 
 from prettytable import PrettyTable
 
@@ -18,7 +19,7 @@ args = None
 def main():
     global objects_and_peoples
     global args 
-    # RUN_BY_COMPOSE = os.getenv("RUN_BY_COMPOSE") # Replace this with code to check for gpu
+
 
     args = argparser.parse_args()
 
@@ -49,7 +50,9 @@ def main():
     # Set the video capture to the appropriate source
     if not args.rtsp_url and not args.capture_device:
         print("No stream or capture device set, defaulting to capture device 0")
-        args.capture_device = [0]
+        video_sources = {
+            "devices": [cv2.VideoCapture(0)]
+        }
     else:
         video_sources = {
             "streams": [cv2.VideoCapture(url) for url in args.rtsp_url],
@@ -60,13 +63,22 @@ def main():
     # This makes it so that the video capture will only grab the most recent frame
     # However, this means that the video may be choppy
     # Only do this for streams
-    for stream in video_sources["streams"]:
-        stream.set(cv2.CAP_PROP_BUFFERSIZE, 1)
+    try:
+        for stream in video_sources["streams"]:
+            stream.set(cv2.CAP_PROP_BUFFERSIZE, 1)
+    # If there are no streams, this will throw a KeyError
+    except KeyError:
+        pass
+
+    # Print out the resolution of the video sources. Ideally, change this so the device ID/url is also printed
+    pretty_table = PrettyTable(field_names=["Source Type", "Resolution"])
+    for source_type, sources in video_sources.items():
+        for source in sources:
+            pretty_table.add_row(
+                [source_type, f"{source.get(cv2.CAP_PROP_FRAME_WIDTH)}x{source.get(cv2.CAP_PROP_FRAME_HEIGHT)}"]
+            )
+    print(pretty_table)
 
-    # Print the resolution of the video
-    print(
-        f"Video resolution: {video_capture.get(cv2.CAP_PROP_FRAME_WIDTH)}x{video_capture.get(cv2.CAP_PROP_FRAME_HEIGHT)}"  # noqa: E501
-    )
     print
     print("Beginning video capture...")
     while True:
diff --git a/wyzely_detect/utils/utils.py b/wyzely_detect/utils/utils.py
index 0a12de2..5ac48c7 100644
--- a/wyzely_detect/utils/utils.py
+++ b/wyzely_detect/utils/utils.py
@@ -1,8 +1,13 @@
 import cv2
+import os
 import numpy as np
 from pathlib import Path
-from deepface import DeepFace
-from . import notify
+# https://stackoverflow.com/a/42121886/18270659
+os.environ['TF_CPP_MIN_LOG_LEVEL']='3'
+
+
+from deepface import DeepFace # noqa: E402
+from . import notify # noqa: E402
 
 first_face_try = True