Docker is working again

Resorted to reinstalling `torchvision` via `pip`

Dockerfile

@@ -1,15 +1,19 @@
 FROM python:3.10.5-buster
 
-LABEL org.opencontainers.image.description "Dokcer image for running wyzely-detect"
+LABEL org.opencontainers.image.description "Docker image for running wyzely-detect"
 LABEL org.opencontainers.image.source "https://github.com/slashtechno/wyzely-detect"
 
 RUN apt update && apt install libgl1 -y
 RUN pip install poetry
 
+
 WORKDIR /app
 
 COPY . .
 
 RUN poetry install
 
-ENTRYPOINT ["poetry", "run", "python", "-m", "wyzely_detect"]
+RUN poetry run pip uninstall -y torchvision 
+RUN poetry run pip install torchvision 
+
+ENTRYPOINT ["poetry", "run", "python", "-m", "--", "wyzely_detect", "--no-display"]

README.md

@@ -14,6 +14,7 @@ Recognize faces/objects in a video stream (from a webcam or a security camera) a
 ### Python  
 - Camera, either a webcam or a Wyze Cam  
     - All RTSP feeds _should_ work, however.  
+    - **WSL, by default, does not support USB devices.** It is recommended to natively run this, but it is possible to use it on WSL with streams or some workarounds.  
 - Python 3.10 or 3.11  
 - Poetry (optional)  
 - Windows or Linux  
@@ -37,20 +38,24 @@ Cloning the repository is not required when installing from PyPi but is required
 2. `cd` into the cloned repository  
 3. Then, either install with [Poetry](https://python-poetry.org/) or run with Docker  
 
-#### Docker  
-1. Modify to `docker-compose.yml` to achieve desired configuration  
-2. Run in the background with `docker compose up -d  
 
-#### Installing from PyPi with pip
+#### Installing from PyPi with pip (recommended)  
 This assumes you have Python 3.10 or 3.11 installed  
 1. `pip install wyzely-detect`  
     a. You may need to use `pip3` instead of `pip`  
 2. `wyzely-detect`  
 
-#### Poetry  
+#### Poetry (best for GPU support)
 1. `poetry install`  
     a. For GPU support, use `poetry install -E cuda --with gpu`
 2. `poetry run -- wyzely-detect`  
+
+#### Docker  
+Running with Docker has the benefit of having easier configuration, the ability to run headlessly, and easy setup of Ntfy and [mrlt8/docker-wyze-bridge](https://github.com/mrlt8/docker-wyze-bridge). However, for now, CPU-only is supported. Contributions are welcome to add GPU support. In addition, Docker is tested a less-tested method of running this program.  
+
+1. Modify to `docker-compose.yml` to achieve desired configuration  
+2. Run in the background with `docker compose up -d`
+
 ### Configuration  
 The following are some basic CLI options. Most flags have environment variable equivalents which can be helpful when using Docker. 
 

docker-compose.yml

@@ -7,15 +7,18 @@ services:
         restart: unless-stopped
         image: mrlt8/wyze-bridge:latest
         # The ports can be removed since we're using the network
-        # Just an unnecesary security risk to expose them but can be useful for debugging  
+        # Just an unnecesary security risk to expose them but can be useful for debugging
         # ports:
         #     - 1935:1935 # RTMP
         #     - 8554:8554 # RTSP (this is really the only one we need)
         #     - 8888:8888 # HLS
-        #     - 5000:5000 # WEB-UI
+        # - 5000:5000 # WEB-UI
         environment:
-            - WYZE_EMAIL=${WYZE_EMAIL} # Replace with wyze email 
-            - WYZE_PASSWORD=${WYZE_PASSWORD} # Replace with wyze password
+            # This is a simple configuration without 2FA.
+            # For advanced configuration, including using an API key, see https://github.com/mrlt8/docker-wyze-bridge/wiki/Two-Factor-Authentication
+            # Either replace the following with your Wyze username and password, or set the environment variables
+            - WYZE_EMAIL=${WYZE_EMAIL} 
+            - WYZE_PASSWORD=${WYZE_PASSWORD}
         networks:
             all:
     ntfy:
@@ -35,12 +38,24 @@ services:
         all:
     wyzely-detect:
       container_name: wyzely-detect
-      restart: unless-stopped 
-      image: ghcr.io/slashtechno/wyzely-detect:latest
+      # restart: unless-stopped 
+      # image: ghcr.io/slashtechno/wyzely-detect:latest
       # Building from source is also an option
-      # build:
-        # context: .
-        # dockerfile: Dockerfile
+      build:
+        context: .
+        dockerfile: Dockerfile
+      command:
+        - "--ntfy-url"
+        # Replace "wyzely-detect" with the desired notification stream
+        - "http://ntfy:80/wyzely-detect"
+
+        - "--rtsp-url"
+        # Replace "cv" with the desired rtsp stream
+        - "rtsp://bridge:8554/cv"
+
+        # Example second rtsp stream
+        # - "--rtsp-url"
+        # - "rtsp://bridge:8554/camera"
       volumes:
         - ./faces:/app/faces
       networks: