Standardize program name and description

.vscode/launch.json

@@ -8,7 +8,7 @@
             "name": "Python: Module",
             "type": "python",
             "request": "launch",
-            "module": "set_detect_notify",
+            "module": "wyzely_detect",
             "justMyCode": true
         }
     ]

.vscode/settings.json

@@ -0,0 +1,3 @@
+{
+    "files.eol": "\n"
+}

README.md

@@ -1,5 +1,5 @@
 # Wyzely Detect  
-Recognize faces/objects in a video stream (from a webcam or a security camera) and send notifications to your phone (or other devices)  
+Recognize faces/objects in a video stream (from a webcam or a security camera) and send notifications to your devices  
 
 ### Features  
 - Recognize objects  
@@ -14,21 +14,21 @@ Recognize faces/objects in a video stream (from a webcam or a security camera) a
 ### Poetry/Python  
 - Camera, either a webcam or a Wyze Cam  
     - All RTSP feeds _should_ work, however.  
-- Python 
-    - 3.10.5 is confirmed to work and problems have been encountered with 3.11
+- Python 3.10 or 3.11  
 - Poetry  
 ### Docker  
 - A Wyze Cam  
     - Any other RTSP feed _should_ work, as mentioned above  
-- Python
-- Poetry
+- Docker
+- Docker Compose
+
 
 ## What's not required  
 - A Wyze subscription  
 
 ## 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/wyze-face-recognition.git`  <!-- This URL should be changed once the repo is renamed -->  
 2. `cd` into the cloned repository  
 3. Then, either install with [Poetry](https://python-poetry.org/) or run with Docker  
 
@@ -38,7 +38,7 @@ Recognize faces/objects in a video stream (from a webcam or a security camera) a
 
 #### Poetry  
 1. `poetry install`  
-2. `poetry run -- set-detect-notify`  
+2. `poetry run -- wyzely-detect`  
 ### Configuration  
 The following are some basic CLI options. Most flags have environment variable equivalents which can be helpful when using Docker. 
 

docker-compose.yml

@@ -3,7 +3,7 @@ networks:
     all:
 services:
     bridge:
-        container_name: bridge-wyze
+        container_name: bridge-wyzely-detect
         restart: unless-stopped
         image: mrlt8/wyze-bridge:latest
         # I think we can remove the ports, since we're using the network
@@ -20,7 +20,7 @@ services:
             all:
     ntfy:
       image: binwiederhier/ntfy
-      container_name: ntfy-wyze
+      container_name: ntfy-wyzely-detect
       command:
         - serve
       environment:
@@ -33,10 +33,10 @@ services:
       restart: unless-stopped
       networks:
         all:
-    facial_recognition:
-      container_name: face-recognition-wyze
+    wyzely-detect:
+      container_name: wyzely-detect
       restart: unless-stopped 
-      # image: ghcr.io/slashtechno/wyze_face_recognition:latest
+      # image: ghcr.io/slashtechno/wyzely-detect:latest
       build:
         context: .
         dockerfile: Dockerfile
@@ -47,7 +47,7 @@ services:
       environment:
         - URL=rtsp://bridge:8554/cv
         - NO_DISPLAY=true
-        - NTFY_URL=http://ntfy:80/set-detect-notify
+        - NTFY_URL=http://ntfy:80/wyzely-detect
       depends_on:
         - bridge
 

pyproject.toml

@@ -1,7 +1,7 @@
 [tool.poetry]
 name = "wyzely-detect"
-version = "0.1.0"
-description = "Detect all the things"
+version = "0.1.8"
+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>"]
 license = "MIT"
 readme = "README.md"
@@ -9,8 +9,7 @@ packages = [{include = "wyzely_detect"}]
 
 [tool.poetry.dependencies]
 
-# As of 10/21/23, Python 3.11 doesn't work (at least on Windows)
-# Seems "^3.10" won't work because of TensorFlow or another library
+# Works on 3.10 and 3.11, at least in my testing
 python = ">=3.10, <3.12"
 
 python-dotenv = "^1.0.0"
@@ -25,6 +24,7 @@ torch = ">=2.0.0, !=2.0.1, !=2.1.0"
 
 # https://stackoverflow.com/a/76477590/18270659
 # https://discuss.tensorflow.org/t/tensorflow-io-gcs-filesystem-with-windows/18849/4
+# Might be able to remove this version constraint later
 tensorflow-io-gcs-filesystem = "0.31.0"
 
 
@@ -47,6 +47,7 @@ build-backend = "poetry.core.masonry.api"
 # Where possible, `black` will attempt to format to 88 characters
 # However, setting ruff to 135 will allow for longer lines that can't be auto-formatted
 line-length = 135
+extend-select= ["FIX002"]
 
 [tool.poetry.scripts]
 wyzely-detect = "wyzely_detect.__main__:main"

wyzely_detect/__main__.py

@@ -34,8 +34,8 @@ def main():
         print("No .env file found")
 
     argparser = argparse.ArgumentParser(
-        prog="Detect It",
-        description="Detect it all!",
+        prog="Wyzely Detect",
+        description="Recognize faces/objects in a video stream (from a webcam or a security camera) and send notifications to your devices", # noqa: E501
         epilog=":)",
     )
 
@@ -118,13 +118,13 @@ def main():
     # Defaults for the stuff here and down are already set in notify.py.
     # Setting them here just means that argparse will display the default values as defualt
     # TODO: Perhaps just remove the default parameter and just add to the help message that the default is set is x
-
+    # TODO: Make ntfy optional in ntfy.py
     notifcation_services = argparser.add_argument_group("Notification Services")
     notifcation_services.add_argument(
         "--ntfy-url",
         default=os.environ["NTFY_URL"]
         if "NTFY_URL" in os.environ and os.environ["NTFY_URL"] != ""
-        else "https://ntfy.sh/set-detect-notify",
+        else "https://ntfy.sh/wyzely-detect",
         type=str,
         help="The URL to send notifications to",
     )

wyzely_detect/utils/notify.py

@@ -32,7 +32,7 @@ def thing_detected(
     detection_window: int = 15,
     detection_duration: int = 2,
     notification_window: int = 15,
-    ntfy_url: str = "https://ntfy.sh/set-detect-notify",
+    ntfy_url: str = "https://ntfy.sh/wyzely-detect",
 ) -> dict:
     """
     A function to make sure 2 seconds of detection is detected in 15 seconds, 15 seconds apart.