From 504ccb6695562dfb54a4acf64498ec04afb819ff Mon Sep 17 00:00:00 2001 From: slashtechno <77907286+slashtechno@users.noreply.github.com> Date: Sun, 22 Oct 2023 16:53:29 -0500 Subject: [PATCH] Changed repo URL and added repo to pyproject.toml --- README.md | 2 +- pyproject.toml | 2 ++ wyzely_detect/__main__.py | 2 +- 3 files changed, 4 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 94f1282..151cd63 100644 --- a/README.md +++ b/README.md @@ -28,7 +28,7 @@ Recognize faces/objects in a video stream (from a webcam or a security camera) a ## Usage ### Installation -1. Clone this repo with `git clone https://github.com/slashtechno/wyze-face-recognition.git` +1. Clone this repo with `git clone https://github.com/slashtechno/wyzely-detect` 2. `cd` into the cloned repository 3. Then, either install with [Poetry](https://python-poetry.org/) or run with Docker diff --git a/pyproject.toml b/pyproject.toml index 4e579dc..0072a60 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -3,6 +3,8 @@ name = "wyzely-detect" version = "0.1.0" description = "Recognize faces/objects in a video stream (from a webcam or a security camera) and send notifications to your devices" authors = ["slashtechno <77907286+slashtechno@users.noreply.github.com>"] +repository = "https://github.com/slashtechno/wyzely-detect" +keywords = ["object-detection", "face-detection", "wyze", "security", "yolov8", "unified-push"] license = "MIT" readme = "README.md" packages = [{include = "wyzely_detect"}] diff --git a/wyzely_detect/__main__.py b/wyzely_detect/__main__.py index 6b126e3..dd618f2 100644 --- a/wyzely_detect/__main__.py +++ b/wyzely_detect/__main__.py @@ -160,7 +160,7 @@ def main(): args = argparser.parse_args() - # Check if a CUDA GPU is available. If it is, set it via torch. Ff not, set it to cpu + # Check if a CUDA GPU is available. If it is, set it via torch. If not, set it to cpu # https://github.com/ultralytics/ultralytics/issues/3084#issuecomment-1732433168 # Currently, I have been unable to set up Poetry to use GPU for Torch for i in range(torch.cuda.device_count()):