Fixed Docker support and updated README.md

.Dockerfile.old

@@ -0,0 +1,42 @@
+FROM python:3.10-bullseye
+
+# Install Dlib (for face_recognition)
+RUN apt-get -y update && apt-get install -y --fix-missing \
+    build-essential \
+    cmake \
+    gfortran \
+    git \
+    wget \
+    curl \
+    graphicsmagick \
+    libgraphicsmagick1-dev \
+    libatlas-base-dev \
+    libavcodec-dev \
+    libavformat-dev \
+    libgtk2.0-dev \
+    libjpeg-dev \
+    liblapack-dev \
+    libswscale-dev \
+    pkg-config \
+    python3-dev \
+    python3-numpy \
+    software-properties-common \
+    zip
+RUN apt-get clean
+RUN rm -rf /tmp/* /var/tmp/*
+ENV CFLAGS=-static
+# Install dos2unix
+# RUN apt-get install -y dos2unix
+# Upgrade pip
+RUN pip3 install --upgrade pip
+# Copy directory to container
+WORKDIR /app
+COPY . ./
+# Run dos2unix on all files in /app
+# RUN dos2unix /app/*
+# Install from requirements.txt
+RUN pip3 install -r requirements.txt
+# Install wait-for-it so this can easily be used with docker-compose
+# Example: command: ["./wait-for-it.sh", "bridge:8554", "--", "python", "main.py"]
+RUN wget https://raw.githubusercontent.com/vishnubob/wait-for-it/master/wait-for-it.sh && chmod +x wait-for-it.sh && mv wait-for-it.sh /bin
+CMD ["python3", "main.py"]

.dockerignore

@@ -1 +1,3 @@
-.config/
+Dockerfile
+.venv
+docker-compose.yml

.github/workflows/docker.yml

@@ -25,7 +25,7 @@ jobs:
         uses: actions/checkout@v3
 
       - name: Log in to the Container registry
-        uses: docker/login-action@f4ef78c080cd8ba55a85445d5b36e214a81df20a
+        uses: docker/login-action@v3.0.0
         with:
           registry: ${{ env.REGISTRY }}
           username: ${{ github.actor }}

Dockerfile

@@ -1,42 +1,12 @@
-FROM python:3.10-bullseye
+FROM python:3.10.5-buster
+
+RUN apt update && apt install libgl1 -y
+RUN pip install poetry
 
-# Install Dlib (for face_recognition)
-RUN apt-get -y update && apt-get install -y --fix-missing \
-    build-essential \
-    cmake \
-    gfortran \
-    git \
-    wget \
-    curl \
-    graphicsmagick \
-    libgraphicsmagick1-dev \
-    libatlas-base-dev \
-    libavcodec-dev \
-    libavformat-dev \
-    libgtk2.0-dev \
-    libjpeg-dev \
-    liblapack-dev \
-    libswscale-dev \
-    pkg-config \
-    python3-dev \
-    python3-numpy \
-    software-properties-common \
-    zip
-RUN apt-get clean
-RUN rm -rf /tmp/* /var/tmp/*
-ENV CFLAGS=-static
-# Install dos2unix
-# RUN apt-get install -y dos2unix
-# Upgrade pip
-RUN pip3 install --upgrade pip
-# Copy directory to container
 WORKDIR /app
-COPY . ./
+
-# Run dos2unix on all files in /app
+COPY . .
-# RUN dos2unix /app/*
+
-# Install from requirements.txt
+RUN poetry install
-RUN pip3 install -r requirements.txt
+
-# Install wait-for-it so this can easily be used with docker-compose
+ENTRYPOINT ["poetry", "run", "python", "-m", "set_detect_notify"]
-# Example: command: ["./wait-for-it.sh", "bridge:8554", "--", "python", "main.py"]
-RUN wget https://raw.githubusercontent.com/vishnubob/wait-for-it/master/wait-for-it.sh && chmod +x wait-for-it.sh && mv wait-for-it.sh /bin
-CMD ["python3", "main.py"]

README.md

@@ -1,21 +1,54 @@
-# Wyze Face Recognition  
+# Set, Detect, Notify  
-Recognize faces in Wyze Cam footage and send notifications to your phone (or other devices)  
+Recognize faces/objects in (Wyze Cam) footage and send notifications to your phone (or other devices)
 
-## Pre-requisites  
+### Features  
-* Docker  
+- Recognize objects  
-* Docker Compose  
+- Recognize faces  
-* A Wyze Cam  
+- Send notifications to your phone (or other devices) using [ntfy](https://ntfy.sh/)  
+- Optionally, run headless with Docker  
+- Either use a webcam or an RTSP feed  
+    - Use [mrlt8/docker-wyze-bridge](https://github.com/mrlt8/docker-wyze-bridge) to get RTSP feeds from Wyze Cams  
 
-## What's not needed  
-* A Wyze Cam subscription  
 
-## How to use
+## Prerequisites  
-1. Clone this repo  
+### Poetry/Python  
-    ` git clone https://github.com/slackner/wyze-face-recognition.git`   
+- Camera, either a webcam or a Wyze Cam  
-2. Add images to the `config` directory  
+    - All RTSP feeds _should_ work, however.
-3. Copy `config/config.json.example` to `config/config.json` and edit the faces array to match the images you added, and the face names
+- Python
-4. Either set the `WYZE_EMAIL` and `WYZE_PASSWORD` environment variables, or edit `docker-compose.yml` and add your Wyze credentials  
+- Poetry
-5. Run `docker-compose up -d`  
+### Docker
+- A Wyze Cam  
+    - Any other RTSP feed _should_ work, as mentioned above
+- Python
+- Poetry
+
+## What's not required  
+- A Wyze subscription  
+
+## Usage    
+### Installation  
+1. Clone this repo with `git clone https://github.com/slashtechno/wyze-face-recognition.git`  
+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
+
+#### Poetry  
+1. `poetry install`  
+2. `poetry run -- set-detect-notify`  
+### Configuration  
+The following are some basic CLI options. Most flags have environment variable equivalents which can be helpful when using Docker. 
+
+- For face recognition, put images of faces in subdirectories `./faces` (this can be changed with `--faces-directory`) 
+    - Keep in mind, on the first run, face rec
+- By default, notifications are sent for all objects. This can be changed with one or more occurrences of `--detect-object` to specify which objects to detect
+    - Currently, all classes in the [COCO](https://cocodataset.org/) dataset can be detected
+- To specify where notifications are sent, specify a [ntfy](https://ntfy.sh/) URL with `--ntfy-url`
+- To configure the program when using Docker, edit `docker-compose.yml` and/or set environment variables.
+- **For further information, use `--help`**
 
 ### How to uninstall  
-1. Run `docker-compose down` in the `wyze-face-recognition` directory  
+- If you used Docker, run `docker-compose down --rmi all` in the cloned repository
+- If you used Poetry, just delete the virtual environment and then the cloned repository

docker-compose.yml

@@ -6,19 +6,21 @@ services:
         container_name: bridge-wyze
         restart: unless-stopped
         image: mrlt8/wyze-bridge:latest
-        ports:
+        # I think we can remove the ports, since we're using the network
-            - 1935:1935 # RTMP
+        # Just an unnecesary security risk
-            - 8554:8554 # RTSP
+        # ports:
-            - 8888:8888 # HLS
+        #     - 1935:1935 # RTMP
-            - 5000:5000 # WEB-UI
+        #     - 8554:8554 # RTSP (this is really the only one we need)
+        #     - 8888:8888 # HLS
+        #     - 5000:5000 # WEB-UI
         environment:
             - WYZE_EMAIL=${WYZE_EMAIL} # Replace with wyze email 
             - WYZE_PASSWORD=${WYZE_PASSWORD} # Replace with wyze password
         networks:
             all:
-              aliases:
+              # aliases:
-                - bridge
+              #   - bridge
-                - wyze-bridge
+              #   - wyze-bridge
     ntfy:
       image: binwiederhier/ntfy
       container_name: ntfy-wyze
@@ -36,29 +38,34 @@ services:
         all:
     facial_recognition:
       container_name: face-recognition-wyze
-      restart: unless-stopped
+      restart: unless-stopped 
-      image: ghcr.io/slashtechno/wyze_face_recognition:latest
+      # image: ghcr.io/slashtechno/wyze_face_recognition:latest
+      build:
+        context: .
+        dockerfile: Dockerfile
       volumes:
-        # ./config is mounted as /app/config
+        - ./faces:/app/faces
-        - ./config:/app/config
       networks:
         all:
       environment:
-        - RUN_BY_COMPOSE=true
+        - URL=rtsp://bridge:8554/cv
+        - NO_DISPLAY=true
+        - NTFY_URL=http://ntfy:80/set-detect-notify
       depends_on:
         - bridge
+
       # Use curl to check if the rtsp stream is up, then run the face recognition
-      command: >
+      # command: >
-        /bin/sh -c "
+      #   /bin/sh -c "
-        while true; do
+      #   while true; do
-          curl -s http://bridge:8888/cv/0.m3u8 > /dev/null
+      #     curl -s http://bridge:8888/cv/0.m3u8 > /dev/null
-          if [ $? -eq 0 ]; then
+      #     if [ $? -eq 0 ]; then
-            echo 'Stream is up, running face recognition'
+      #       echo 'Stream is up, running face recognition'
-            python3 /app/main.py
+      #       python3 /app/main.py
-          else
+      #     else
-            echo 'Stream is down, waiting 5 seconds'
+      #       echo 'Stream is down, waiting 5 seconds'
-            sleep 5
+      #       sleep 5
-          fi
+      #     fi
-        done
+      #   done
-        "
+      #   "
       tty: true

poetry.lock

@@ -396,6 +396,35 @@ files = [
 [package.dependencies]
 colorama = {version = "*", markers = "platform_system == \"Windows\""}
 
+[[package]]
+name = "cmake"
+version = "3.27.7"
+description = "CMake is an open-source, cross-platform family of tools designed to build, test and package software"
+optional = false
+python-versions = "*"
+files = [
+    {file = "cmake-3.27.7-py2.py3-none-macosx_10_10_universal2.macosx_10_10_x86_64.macosx_11_0_arm64.macosx_11_0_universal2.whl", hash = "sha256:d582ef3e9ff0bd113581c1a32e881d1c2f9a34d2de76c93324a28593a76433db"},
+    {file = "cmake-3.27.7-py2.py3-none-manylinux2010_i686.manylinux_2_12_i686.whl", hash = "sha256:8056c99e371ff57229df2068364d7c32fea716cb53b4675f639edfb62663decf"},
+    {file = "cmake-3.27.7-py2.py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl", hash = "sha256:68983b09de633fc1ce6ab6bce9a25bfa181e41598e7c6bc0a6c0108773ee01cb"},
+    {file = "cmake-3.27.7-py2.py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:8bd1e1fa4fc8de7605c663d9408dceb649112f855aab05cca31fdb72e4d78364"},
+    {file = "cmake-3.27.7-py2.py3-none-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:c981aafcca2cd7210bd210ec75710c0f34e1fde1998cdcab812e4133e3ab615d"},
+    {file = "cmake-3.27.7-py2.py3-none-manylinux2014_ppc64le.manylinux_2_17_ppc64le.whl", hash = "sha256:1b9067ce0251cba3d4c018f2e1577ba9078e9c1eff6ad607ad5ce867843d4571"},
+    {file = "cmake-3.27.7-py2.py3-none-manylinux2014_s390x.manylinux_2_17_s390x.whl", hash = "sha256:b8a2fcb619b89d1cce7b52828316de9a1f27f0c90c2e39d1eae886428c8ee8c6"},
+    {file = "cmake-3.27.7-py2.py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:499b38c77d52fb1964dbb38d0228fed246263a181939a8e753fde8ca227c8e1e"},
+    {file = "cmake-3.27.7-py2.py3-none-musllinux_1_1_aarch64.whl", hash = "sha256:2fb48c780f1a6a3d19e785ebbb754be79d369e25a1cb81043fab049e709564da"},
+    {file = "cmake-3.27.7-py2.py3-none-musllinux_1_1_i686.whl", hash = "sha256:7bf96237ba11ce2437dc5e071d96b510120a1be4708c631a64b2f38fb46bbd77"},
+    {file = "cmake-3.27.7-py2.py3-none-musllinux_1_1_ppc64le.whl", hash = "sha256:009058bdf4f488709f38eaa5dd0ef0f89c6b9c6b6edd9d5b475a308ef75f80bb"},
+    {file = "cmake-3.27.7-py2.py3-none-musllinux_1_1_s390x.whl", hash = "sha256:591f6b056527aefec009bc61a388776b2fc62444deb0038112a471031f61aeca"},
+    {file = "cmake-3.27.7-py2.py3-none-musllinux_1_1_x86_64.whl", hash = "sha256:bd40d46dbad3555d5b3ce054bef24b85f256b19139493773751ab6f2b71c1219"},
+    {file = "cmake-3.27.7-py2.py3-none-win32.whl", hash = "sha256:bdbf0256f554f68c7b1d9740f5d059daf875b685c81a479cbe69038e84eb2fb9"},
+    {file = "cmake-3.27.7-py2.py3-none-win_amd64.whl", hash = "sha256:810e592b606d05a3080a9c19ea839b13226f62cae447a22485b2365782f6b926"},
+    {file = "cmake-3.27.7-py2.py3-none-win_arm64.whl", hash = "sha256:72289361866314f73be2ae63ddee224ff70223dcef9feb66d0072bf17e245564"},
+    {file = "cmake-3.27.7.tar.gz", hash = "sha256:9f4a7c7be2a25de5901f045618f41b833ea6c0f647115201d38e4fdf7e2815bc"},
+]
+
+[package.extras]
+test = ["coverage (>=4.2)", "flake8 (>=3.0.4)", "path.py (>=11.5.0)", "pytest (>=3.0.3)", "pytest-cov (>=2.4.0)", "pytest-runner (>=2.9)", "pytest-virtualenv (>=1.7.0)", "scikit-build (>=0.10.0)", "setuptools (>=28.0.0)", "virtualenv (>=15.0.3)", "wheel"]
+
 [[package]]
 name = "colorama"
 version = "0.4.6"
@@ -757,41 +786,6 @@ ufo = ["fs (>=2.2.0,<3)"]
 unicode = ["unicodedata2 (>=15.0.0)"]
 woff = ["brotli (>=1.0.1)", "brotlicffi (>=0.8.0)", "zopfli (>=0.1.4)"]
 
-[[package]]
-name = "fsspec"
-version = "2023.9.2"
-description = "File-system specification"
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "fsspec-2023.9.2-py3-none-any.whl", hash = "sha256:603dbc52c75b84da501b9b2ec8c11e1f61c25984c4a0dda1f129ef391fbfc9b4"},
-    {file = "fsspec-2023.9.2.tar.gz", hash = "sha256:80bfb8c70cc27b2178cc62a935ecf242fc6e8c3fb801f9c571fc01b1e715ba7d"},
-]
-
-[package.extras]
-abfs = ["adlfs"]
-adl = ["adlfs"]
-arrow = ["pyarrow (>=1)"]
-dask = ["dask", "distributed"]
-devel = ["pytest", "pytest-cov"]
-dropbox = ["dropbox", "dropboxdrivefs", "requests"]
-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "dask", "distributed", "dropbox", "dropboxdrivefs", "fusepy", "gcsfs", "libarchive-c", "ocifs", "panel", "paramiko", "pyarrow (>=1)", "pygit2", "requests", "s3fs", "smbprotocol", "tqdm"]
-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"]
-
 [[package]]
 name = "gast"
 version = "0.5.4"
@@ -1428,6 +1422,16 @@ files = [
     {file = "libclang-16.0.6.tar.gz", hash = "sha256:4acdde39dfe410c877b4ccc0d4b57eb952100e4ee26bbdf6cfdb88e2033a7d31"},
 ]
 
+[[package]]
+name = "lit"
+version = "17.0.2"
+description = "A Software Testing Tool"
+optional = false
+python-versions = "*"
+files = [
+    {file = "lit-17.0.2.tar.gz", hash = "sha256:d6a551eab550f81023c82a260cd484d63970d2be9fd7588111208e7d2ff62212"},
+]
+
 [[package]]
 name = "markdown"
 version = "3.5"
@@ -1807,6 +1811,164 @@ files = [
     {file = "numpy-1.25.2.tar.gz", hash = "sha256:fd608e19c8d7c55021dffd43bfe5492fab8cc105cc8986f813f8c3c048b38760"},
 ]
 
+[[package]]
+name = "nvidia-cublas-cu11"
+version = "11.10.3.66"
+description = "CUBLAS native runtime libraries"
+optional = false
+python-versions = ">=3"
+files = [
+    {file = "nvidia_cublas_cu11-11.10.3.66-py3-none-manylinux1_x86_64.whl", hash = "sha256:d32e4d75f94ddfb93ea0a5dda08389bcc65d8916a25cb9f37ac89edaeed3bded"},
+    {file = "nvidia_cublas_cu11-11.10.3.66-py3-none-win_amd64.whl", hash = "sha256:8ac17ba6ade3ed56ab898a036f9ae0756f1e81052a317bf98f8c6d18dc3ae49e"},
+]
+
+[package.dependencies]
+setuptools = "*"
+wheel = "*"
+
+[[package]]
+name = "nvidia-cuda-cupti-cu11"
+version = "11.7.101"
+description = "CUDA profiling tools runtime libs."
+optional = false
+python-versions = ">=3"
+files = [
+    {file = "nvidia_cuda_cupti_cu11-11.7.101-py3-none-manylinux1_x86_64.whl", hash = "sha256:e0cfd9854e1f2edaa36ca20d21cd0bdd5dcfca4e3b9e130a082e05b33b6c5895"},
+    {file = "nvidia_cuda_cupti_cu11-11.7.101-py3-none-win_amd64.whl", hash = "sha256:7cc5b8f91ae5e1389c3c0ad8866b3b016a175e827ea8f162a672990a402ab2b0"},
+]
+
+[package.dependencies]
+setuptools = "*"
+wheel = "*"
+
+[[package]]
+name = "nvidia-cuda-nvrtc-cu11"
+version = "11.7.99"
+description = "NVRTC native runtime libraries"
+optional = false
+python-versions = ">=3"
+files = [
+    {file = "nvidia_cuda_nvrtc_cu11-11.7.99-2-py3-none-manylinux1_x86_64.whl", hash = "sha256:9f1562822ea264b7e34ed5930567e89242d266448e936b85bc97a3370feabb03"},
+    {file = "nvidia_cuda_nvrtc_cu11-11.7.99-py3-none-manylinux1_x86_64.whl", hash = "sha256:f7d9610d9b7c331fa0da2d1b2858a4a8315e6d49765091d28711c8946e7425e7"},
+    {file = "nvidia_cuda_nvrtc_cu11-11.7.99-py3-none-win_amd64.whl", hash = "sha256:f2effeb1309bdd1b3854fc9b17eaf997808f8b25968ce0c7070945c4265d64a3"},
+]
+
+[package.dependencies]
+setuptools = "*"
+wheel = "*"
+
+[[package]]
+name = "nvidia-cuda-runtime-cu11"
+version = "11.7.99"
+description = "CUDA Runtime native Libraries"
+optional = false
+python-versions = ">=3"
+files = [
+    {file = "nvidia_cuda_runtime_cu11-11.7.99-py3-none-manylinux1_x86_64.whl", hash = "sha256:cc768314ae58d2641f07eac350f40f99dcb35719c4faff4bc458a7cd2b119e31"},
+    {file = "nvidia_cuda_runtime_cu11-11.7.99-py3-none-win_amd64.whl", hash = "sha256:bc77fa59a7679310df9d5c70ab13c4e34c64ae2124dd1efd7e5474b71be125c7"},
+]
+
+[package.dependencies]
+setuptools = "*"
+wheel = "*"
+
+[[package]]
+name = "nvidia-cudnn-cu11"
+version = "8.5.0.96"
+description = "cuDNN runtime libraries"
+optional = false
+python-versions = ">=3"
+files = [
+    {file = "nvidia_cudnn_cu11-8.5.0.96-2-py3-none-manylinux1_x86_64.whl", hash = "sha256:402f40adfc6f418f9dae9ab402e773cfed9beae52333f6d86ae3107a1b9527e7"},
+    {file = "nvidia_cudnn_cu11-8.5.0.96-py3-none-manylinux1_x86_64.whl", hash = "sha256:71f8111eb830879ff2836db3cccf03bbd735df9b0d17cd93761732ac50a8a108"},
+]
+
+[package.dependencies]
+setuptools = "*"
+wheel = "*"
+
+[[package]]
+name = "nvidia-cufft-cu11"
+version = "10.9.0.58"
+description = "CUFFT native runtime libraries"
+optional = false
+python-versions = ">=3"
+files = [
+    {file = "nvidia_cufft_cu11-10.9.0.58-py3-none-manylinux1_x86_64.whl", hash = "sha256:222f9da70c80384632fd6035e4c3f16762d64ea7a843829cb278f98b3cb7dd81"},
+    {file = "nvidia_cufft_cu11-10.9.0.58-py3-none-win_amd64.whl", hash = "sha256:c4d316f17c745ec9c728e30409612eaf77a8404c3733cdf6c9c1569634d1ca03"},
+]
+
+[[package]]
+name = "nvidia-curand-cu11"
+version = "10.2.10.91"
+description = "CURAND native runtime libraries"
+optional = false
+python-versions = ">=3"
+files = [
+    {file = "nvidia_curand_cu11-10.2.10.91-py3-none-manylinux1_x86_64.whl", hash = "sha256:eecb269c970fa599a2660c9232fa46aaccbf90d9170b96c462e13bcb4d129e2c"},
+    {file = "nvidia_curand_cu11-10.2.10.91-py3-none-win_amd64.whl", hash = "sha256:f742052af0e1e75523bde18895a9ed016ecf1e5aa0ecddfcc3658fd11a1ff417"},
+]
+
+[package.dependencies]
+setuptools = "*"
+wheel = "*"
+
+[[package]]
+name = "nvidia-cusolver-cu11"
+version = "11.4.0.1"
+description = "CUDA solver native runtime libraries"
+optional = false
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-    {file = "torchvision-0.16.0-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:8cb501061f6654da494dd975acc1fa301c4b8aacf96bdbcf1553f51a53ebfd1f"},
+    {file = "torchvision-0.15.1-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:ff4e650aa601f32ab97bce06704868dd2baad69ca4d454fa1f0012a51199f2bc"},
-    {file = "torchvision-0.16.0-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:5a47108ae6a8effdf09fe35fd0c4d5414e69ca8d2334e87339de497b7b64b0c9"},
+    {file = "torchvision-0.15.1-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:e9b4bb2a15849391df0415d2f76dd36e6528e4253f7b69322b7a0d682535544b"},
-    {file = "torchvision-0.16.0-cp39-cp39-win_amd64.whl", hash = "sha256:9b8f06e6a2f80576007b88846f74b680a1ad3b59d2e22b075587b430180e9cfa"},
+    {file = "torchvision-0.15.1-cp39-cp39-win_amd64.whl", hash = "sha256:21e6beb69e77ef6575c4fdd0ab332b96e8a7f144eee0d333acff469c827a4b5e"},
 ]
 
 [package.dependencies]
 numpy = "*"
 pillow = ">=5.3.0,<8.3.dev0 || >=8.4.dev0"
 requests = "*"
-torch = "2.1.0"
+torch = "2.0.0"
 
 [package.extras]
 scipy = ["scipy"]
@@ -3194,6 +3371,43 @@ files = [
 docs = ["myst-parser", "pydata-sphinx-theme", "sphinx"]
 test = ["argcomplete (>=3.0.3)", "mypy (>=1.5.1)", "pre-commit", "pytest (>=7.0,<7.5)", "pytest-mock", "pytest-mypy-testing"]
 
+[[package]]
+name = "triton"
+version = "2.0.0"
+description = "A language and compiler for custom Deep Learning operations"
+optional = false
+python-versions = "*"
+files = [
+    {file = "triton-2.0.0-1-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:38806ee9663f4b0f7cd64790e96c579374089e58f49aac4a6608121aa55e2505"},
+    {file = "triton-2.0.0-1-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:226941c7b8595219ddef59a1fdb821e8c744289a132415ddd584facedeb475b1"},
+    {file = "triton-2.0.0-1-cp36-cp36m-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:4c9fc8c89874bc48eb7e7b2107a9b8d2c0bf139778637be5bfccb09191685cfd"},
+    {file = "triton-2.0.0-1-cp37-cp37m-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:d2684b6a60b9f174f447f36f933e9a45f31db96cb723723ecd2dcfd1c57b778b"},
+    {file = "triton-2.0.0-1-cp38-cp38-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:9d4978298b74fcf59a75fe71e535c092b023088933b2f1df933ec32615e4beef"},
+    {file = "triton-2.0.0-1-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:74f118c12b437fb2ca25e1a04759173b517582fcf4c7be11913316c764213656"},
+    {file = "triton-2.0.0-1-pp37-pypy37_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:9618815a8da1d9157514f08f855d9e9ff92e329cd81c0305003eb9ec25cc5add"},
+    {file = "triton-2.0.0-1-pp38-pypy38_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:1aca3303629cd3136375b82cb9921727f804e47ebee27b2677fef23005c3851a"},
+    {file = "triton-2.0.0-1-pp39-pypy39_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:e3e13aa8b527c9b642e3a9defcc0fbd8ffbe1c80d8ac8c15a01692478dc64d8a"},
+    {file = "triton-2.0.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8f05a7e64e4ca0565535e3d5d3405d7e49f9d308505bb7773d21fb26a4c008c2"},
+    {file = "triton-2.0.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bb4b99ca3c6844066e516658541d876c28a5f6e3a852286bbc97ad57134827fd"},
+    {file = "triton-2.0.0-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:47b4d70dc92fb40af553b4460492c31dc7d3a114a979ffb7a5cdedb7eb546c08"},
+    {file = "triton-2.0.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fedce6a381901b1547e0e7e1f2546e4f65dca6d91e2d8a7305a2d1f5551895be"},
+    {file = "triton-2.0.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:75834f27926eab6c7f00ce73aaf1ab5bfb9bec6eb57ab7c0bfc0a23fac803b4c"},
+    {file = "triton-2.0.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0117722f8c2b579cd429e0bee80f7731ae05f63fe8e9414acd9a679885fcbf42"},
+    {file = "triton-2.0.0-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bcd9be5d0c2e45d2b7e6ddc6da20112b6862d69741576f9c3dbaf941d745ecae"},
+    {file = "triton-2.0.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:42a0d2c3fc2eab4ba71384f2e785fbfd47aa41ae05fa58bf12cb31dcbd0aeceb"},
+    {file = "triton-2.0.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:52c47b72c72693198163ece9d90a721299e4fb3b8e24fd13141e384ad952724f"},
+]
+
+[package.dependencies]
+cmake = "*"
+filelock = "*"
+lit = "*"
+torch = "*"
+
+[package.extras]
+tests = ["autopep8", "flake8", "isort", "numpy", "pytest", "scipy (>=1.7.1)"]
+tutorials = ["matplotlib", "pandas", "tabulate"]
+
 [[package]]
 name = "typing-extensions"
 version = "4.8.0"
@@ -3404,4 +3618,4 @@ files = [
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.10, <3.12"
-content-hash = "2195b7b92ae6ef77fab180f74922d33d6912a77d9cd193e986db2d788336b2cb"
+content-hash = "952e41ab099f9d1c7055465d5a3c228df677c422d20dea8ff8d558d2e4d8f2be"

pyproject.toml

@@ -18,7 +18,7 @@ hjson = "^3.1.0"
 numpy = "^1.23.2"
 
 # https://github.com/python-poetry/poetry/issues/6409
-torch = "^2.1.0"
+torch = ">=2.0.0, !=2.0.1, !=2.1.0"
 
 tensorflow-io-gcs-filesystem = "0.31.0"
 deepface = "^0.0.79"

set_detect_notify/__main__.py

@@ -62,6 +62,15 @@ def main():
         help="The scale to view the detection at, default is 0.75",
     )
 
+    argparser.add_argument(
+        "--no-display",
+        default=os.environ["NO_DISPLAY"]
+        if "NO_DISPLAY" in os.environ and os.environ["NO_DISPLAY"] != ""
+        else False,
+        action="store_true",
+        help="Don't display the video feed",
+    )
+
     argparser.add_argument(
         "--confidence-threshold",
         default=os.environ["CONFIDENCE_THRESHOLD"]
@@ -72,14 +81,6 @@ def main():
         help="The confidence threshold to use",
     )
 
-    argparser.add_argument(
-        "--detect-object",
-        nargs="*",
-        default=[],
-        type=str,
-        help="The object(s) to detect. Must be something the model is trained to detect",
-    )
-
     argparser.add_argument(
         "--faces-directory",
         default=os.environ["FACES_DIRECTORY"]
@@ -88,6 +89,13 @@ def main():
         type=str,
         help="The directory to store the faces. Should contain 1 subdirectory of images per person",
     )
+    argparser.add_argument(
+        "--detect-object",
+        nargs="*",
+        default=[],
+        type=str,
+        help="The object(s) to detect. Must be something the model is trained to detect",
+    )
 
     stream_source = argparser.add_mutually_exclusive_group()
     stream_source.add_argument(
@@ -287,7 +295,8 @@ def main():
 
             # Display the resulting frame
             # cv2.imshow("", r)
-            cv2.imshow(f"Video{i}", frame_to_show)
+            if not args.no_display:
+                cv2.imshow(f"Video{i}", frame_to_show)
 
         # Hit 'q' on the keyboard to quit!
         if cv2.waitKey(1) & 0xFF == ord("q"):