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wyzely-detect
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Add `--url` 

Don't use Pytorch GPU
This commit is contained in:
slashtechno 2023-10-05 18:40:53 -05:00
parent a99a899417
commit ea4009c898
Signed by: slashtechno
GPG Key ID: 8EC1D9D9286C2B17
8 changed files with 157 additions and 130 deletions
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4
.gitignore vendored
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@ -1,3 +1,5 @@
.env
config/
using_yolov8.ipynb
using_yolov8.ipynb
__pycache__/

199
poetry.lock generated
View File

@ -1,4 +1,4 @@
# This file is automatically @generated by Poetry 1.5.1 and should not be changed by hand.
# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand.
[[package]]
name = "anyio"
@ -619,6 +619,41 @@ ufo = ["fs (>=2.2.0,<3)"]
unicode = ["unicodedata2 (>=15.0.0)"]
woff = ["brotli (>=1.0.1)", "brotlicffi (>=0.8.0)", "zopfli (>=0.1.4)"]
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adl = ["adlfs"]
arrow = ["pyarrow (>=1)"]
dask = ["dask", "distributed"]
devel = ["pytest", "pytest-cov"]
dropbox = ["dropbox", "dropboxdrivefs", "requests"]
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fuse = ["fusepy"]
gcs = ["gcsfs"]
git = ["pygit2"]
github = ["requests"]
gs = ["gcsfs"]
gui = ["panel"]
hdfs = ["pyarrow (>=1)"]
http = ["aiohttp (!=4.0.0a0,!=4.0.0a1)", "requests"]
libarchive = ["libarchive-c"]
oci = ["ocifs"]
s3 = ["s3fs"]
sftp = ["paramiko"]
smb = ["smbprotocol"]
ssh = ["paramiko"]
tqdm = ["tqdm"]
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@ -731,13 +766,13 @@ test = ["flaky", "ipyparallel", "pre-commit", "pytest (>=7.0)", "pytest-asyncio"
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@ -785,7 +820,7 @@ parso = ">=0.8.3,<0.9.0"
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@ -1200,12 +1235,9 @@ files = [
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@ -2043,23 +2075,36 @@ files = [
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{file = "torchvision-0.16.0-cp38-cp38-macosx_10_13_x86_64.whl", hash = "sha256:0c6f36d00b9ce412e367ad6f42e9054cbc890cd9ddd0d200ed9b3b52dd9c225b"},
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{file = "torchvision-0.16.0-cp38-cp38-manylinux2014_aarch64.whl", hash = "sha256:79875f5247337723ec363762c2716bcfc13b78b3045e4e58847c696f03d9ed4d"},
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{file = "torchvision-0.16.0-cp39-cp39-macosx_10_13_x86_64.whl", hash = "sha256:de7c7302fa2f67a2a151e595a8e7dc3865a445d952e99d5c682ba78f312fedc3"},
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{file = "torchvision-0.16.0-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:8cb501061f6654da494dd975acc1fa301c4b8aacf96bdbcf1553f51a53ebfd1f"},
{file = "torchvision-0.16.0-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:5a47108ae6a8effdf09fe35fd0c4d5414e69ca8d2334e87339de497b7b64b0c9"},
{file = "torchvision-0.16.0-cp39-cp39-win_amd64.whl", hash = "sha256:9b8f06e6a2f80576007b88846f74b680a1ad3b59d2e22b075587b430180e9cfa"},
]
[package.dependencies]
numpy = "*"
pillow = ">=5.3.0,<8.3.dev0 || >=8.4.dev0"
requests = "*"
torch = "2.0.1"
torch = "2.1.0"
[package.extras]
scipy = ["scipy"]
[package.source]
type = "legacy"
url = "https://download.pytorch.org/whl/cpu"
reference = "torch_cpu"
[[package]]
name = "tornado"
version = "6.3.3"
@ -2171,13 +2193,13 @@ telegram = ["requests"]
[[package]]
name = "traitlets"
version = "5.10.1"
version = "5.11.2"
description = "Traitlets Python configuration system"
optional = false
python-versions = ">=3.8"
files = [
{file = "traitlets-5.10.1-py3-none-any.whl", hash = "sha256:07ab9c5bf8a0499fd7b088ba51be899c90ffc936ffc797d7b6907fc516bcd116"},
{file = "traitlets-5.10.1.tar.gz", hash = "sha256:db9c4aa58139c3ba850101913915c042bdba86f7c8a0dda1c6f7f92c5da8e542"},
{file = "traitlets-5.11.2-py3-none-any.whl", hash = "sha256:98277f247f18b2c5cabaf4af369187754f4fb0e85911d473f72329db8a7f4fae"},
{file = "traitlets-5.11.2.tar.gz", hash = "sha256:7564b5bf8d38c40fa45498072bf4dc5e8346eb087bbf1e2ae2d8774f6a0f078e"},
]
[package.extras]
@ -2208,13 +2230,13 @@ files = [
[[package]]
name = "ultralytics"
version = "8.0.190"
version = "8.0.193"
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-8.0.190-py3-none-any.whl", hash = "sha256:5414bbf741b92cac438238c3b5608b57521e56f25e2e6297a7447b451954a413"},
{file = "ultralytics-8.0.190.tar.gz", hash = "sha256:ebbd60108dad6c713755f3d456b35fbd6640a73c4c870140d2c8f02626ba6105"},
{file = "ultralytics-8.0.193-py3-none-any.whl", hash = "sha256:de604498fb234947f497c9d3db51e0246436bbcfb62da10f12f5a3f33224d409"},
{file = "ultralytics-8.0.193.tar.gz", hash = "sha256:c61ab70b228f060d37e5e9d833ce491a3d29c71ec31c0087dc26852133a0c2c9"},
]
[package.dependencies]
@ -2235,18 +2257,18 @@ torchvision = ">=0.9.0"
tqdm = ">=4.64.0"
[package.extras]
dev = ["check-manifest", "coverage", "ipython", "mkdocs-material", "mkdocs-redirects", "mkdocs-ultralytics-plugin (>=0.0.27)", "mkdocstrings[python]", "pytest", "pytest-cov"]
dev = ["check-manifest", "coverage", "ipython", "mkdocs-material", "mkdocs-redirects", "mkdocs-ultralytics-plugin (>=0.0.29)", "mkdocstrings[python]", "pytest", "pytest-cov"]
export = ["coremltools (>=7.0)", "openvino-dev (>=2023.0)", "tensorflow (<=2.13.1)", "tensorflowjs"]
[[package]]
name = "urllib3"
version = "2.0.5"
version = "2.0.6"
description = "HTTP library with thread-safe connection pooling, file post, and more."
optional = false
python-versions = ">=3.7"
files = [
{file = "urllib3-2.0.5-py3-none-any.whl", hash = "sha256:ef16afa8ba34a1f989db38e1dbbe0c302e4289a47856990d0682e374563ce35e"},
{file = "urllib3-2.0.5.tar.gz", hash = "sha256:13abf37382ea2ce6fb744d4dad67838eec857c9f4f57009891805e0b5e123594"},
{file = "urllib3-2.0.6-py3-none-any.whl", hash = "sha256:7a7c7003b000adf9e7ca2a377c9688bbc54ed41b985789ed576570342a375cd2"},
{file = "urllib3-2.0.6.tar.gz", hash = "sha256:b19e1a85d206b56d7df1d5e683df4a7725252a964e3993648dd0fb5a1c157564"},
]
[package.extras]
@ -2266,10 +2288,7 @@ files = [
{file = "wcwidth-0.2.8.tar.gz", hash = "sha256:8705c569999ffbb4f6a87c6d1b80f324bd6db952f5eb0b95bc07517f4c1813d4"},
]
[extras]
cuda = []
[metadata]
lock-version = "2.0"
python-versions = "^3.10"
content-hash = "499ba7db34c4f338fdafb61e1bed488e252c8d637226a63a3e5eb367b2d132bc"
content-hash = "f5a1f1c05984f30d2edcfefb2f1e0bf31d8497f0305968fff82f4534fc1e1220"

61
pyproject.toml
View File

@ -1,11 +1,11 @@
[tool.poetry]
name = "detect-it"
name = "set-detect-notify"
version = "0.1.0"
description = "Detect all the things"
authors = ["slashtechno <77907286+slashtechno@users.noreply.github.com>"]
license = "MIT"
readme = "README.md"
packages = [{include = "detect_it"}]
packages = [{include = "set-detect-notify"}]
[tool.poetry.dependencies]
python = "^3.10"
@ -15,18 +15,19 @@ opencv-python = "^4.8.1.78"
ultralytics = "^8.0.190"
hjson = "^3.1.0"
numpy = "^1.23.2"
torch = [
{ version = "^2.0.0+cu118", source = "torch_cu118", markers = "extra=='cuda'" },
{ version = "^2.0.0+cpu", source = "torch_cpu", markers = "extra!='cuda'" },
]
torchaudio = [
{ version = "^2.0.0+cu118", source = "torch_cu118", markers = "extra=='cuda'" },
{ version = "^2.0.0+cpu", source = "torch_cpu", markers = "extra!='cuda'" },
]
torchvision = [
{ version = "^0.15+cu118", source = "torch_cu118", markers = "extra=='cuda'" },
{ version = "^0.15+cpu", source = "torch_cpu", markers = "extra!='cuda'" },
]
# torch = [
# { version = "^2.0.0+cu118", source = "torch_cu118", markers = "extra=='cuda'" },
# { version = "^2.0.0+cpu", source = "torch_cpu", markers = "extra!='cuda'" },
# ]
# torchaudio = [
# { version = "^2.0.0+cu118", source = "torch_cu118", markers = "extra=='cuda'" },
# { version = "^2.0.0+cpu", source = "torch_cpu", markers = "extra!='cuda'" },
# ]
# torchvision = [
# { version = "^0.15+cu118", source = "torch_cu118", markers = "extra=='cuda'" },
# { version = "^0.15+cpu", source = "torch_cpu", markers = "extra!='cuda'" },
# ]
torch = "^2.1.0"
[tool.poetry.group.dev.dependencies]
@ -35,22 +36,22 @@ ruff = "^0.0.291"
ipykernel = "^6.25.2"
[[tool.poetry.source]]
name = "torch_cpu"
url = "https://download.pytorch.org/whl/cpu"
priority = "supplemental"
[[tool.poetry.source]]
name = "torch_cu118"
url = "https://download.pytorch.org/whl/cu118"
priority = "supplemental"
[tool.poetry.extras]
cuda = []
[[tool.poetry.source]]
name = "PyPI"
priority = "primary"
# [[tool.poetry.source]]
# name = "torch_cpu"
# url = "https://download.pytorch.org/whl/cpu"
# priority = "supplemental"
#
# [[tool.poetry.source]]
# name = "torch_cu118"
# url = "https://download.pytorch.org/whl/cu118"
# priority = "supplemental"
#
# [tool.poetry.extras]
# cuda = []
#
# [[tool.poetry.source]]
# name = "PyPI"
# priority = "primary"
[build-system]
requires = ["poetry-core"]

0
src/__init__.py → set-detect-notify/__init__.py
View File

23
src/__main__.py → set-detect-notify/__main__.py
View File

@ -57,12 +57,12 @@ def main():
# )
stream_source = argparser.add_mutually_exclusive_group()
# stream_source.add_argument(
# '--url',
# default=os.environ['URL'] if 'URL' in os.environ and os.environ['URL'] != '' else None, # noqa: E501
# type=str,
# help="The URL of the stream to use",
# )
stream_source.add_argument(
'--url',
default=os.environ['URL'] if 'URL' in os.environ and os.environ['URL'] != '' else None, # noqa: E501
type=str,
help="The URL of the stream to use",
)
stream_source.add_argument(
"--capture-device",
default=os.environ["CAPTURE_DEVICE"]
@ -97,8 +97,13 @@ def main():
model = YOLO("yolov8n.pt")
# video_capture = cv2.VideoCapture(args.capture_device)
video_capture = cv2.VideoCapture("rtsp://192.168.1.7:8554/cv")
# Depending on if the user wants to use a stream or a capture device,
# Set the video capture to the appropriate source
if args.url:
video_capture = cv2.VideoCapture(args.url)
else:
video_capture = cv2.VideoCapture(args.capture_device)
# Eliminate lag by setting the buffer size to 1
# This makes it so that the video capture will only grab the most recent frame
# However, this means that the video may be choppy
@ -116,7 +121,7 @@ def main():
# Only process every other frame of video to save time
# Resize frame of video to a smaller size for faster recognition processing
run_frame = cv2.resize(frame, (0, 0), fx=args.run_scale, fy=args.run_scale)
# view_frame = cv2.resize(frame, (0, 0), fx=args.view_scale, fy=args.view_scale)
# view_frame = cv2.resize(frame, (0, 0), fx=`args.`view_scale, fy=args.view_scale)
results = model(run_frame, verbose=False)
for r in results:

0
src/utils/__init__.py → set-detect-notify/utils/__init__.py
View File

0
src/utils/config_utils.py → set-detect-notify/utils/config_utils.py
View File

0
src/utils/notify.py → set-detect-notify/utils/notify.py
View File