Supress TensorFlow warnings; update dependencies

Also use PrettyTable to list source resolution

pyproject.toml

@@ -23,7 +23,7 @@ numpy = "^1.23.2"
 
 # https://github.com/python-poetry/poetry/issues/6409#issuecomment-1911735833
 # To install with GPU, use poetry install -E cuda --with gpu
-torch = {version = "^2.1.2", source = "pytorch-cpu", markers = "extra!='cuda'" }
+torch = {version = "2.1.*", source = "pytorch-cpu", markers = "extra!='cuda'" }
 
 # https://stackoverflow.com/a/76477590/18270659
 # https://discfuss.tensorflow.org/t/tensorflow-io-gcs-filesystem-with-windows/18849/4
@@ -45,7 +45,7 @@ prettytable = "^3.9.0"
 optional = true
 
 [tool.poetry.group.gpu.dependencies]
-torch = {version = "^2.1.2", source = "pytorch-cu121", markers = "extra=='cuda'"}
+torch = {version = "2.1.*", source = "pytorch-cu121", markers = "extra=='cuda'"}
 tensorflow = {version = "^2.14.0", extras = ["and-cuda"], markers = "extra=='cuda'"}
 
 [tool.poetry.extras]

wyzely_detect/__main__.py

@@ -1,6 +1,7 @@
 # import face_recognition
 from pathlib import Path
 import cv2
+import os
 
 from prettytable import PrettyTable
 
@@ -18,7 +19,7 @@ args = None
 def main():
     global objects_and_peoples
     global args 
-    # RUN_BY_COMPOSE = os.getenv("RUN_BY_COMPOSE") # Replace this with code to check for gpu
+
 
     args = argparser.parse_args()
 
@@ -49,7 +50,9 @@ def main():
     # Set the video capture to the appropriate source
     if not args.rtsp_url and not args.capture_device:
         print("No stream or capture device set, defaulting to capture device 0")
-        args.capture_device = [0]
+        video_sources = {
+            "devices": [cv2.VideoCapture(0)]
+        }
     else:
         video_sources = {
             "streams": [cv2.VideoCapture(url) for url in args.rtsp_url],
@@ -60,13 +63,22 @@ def main():
     # This makes it so that the video capture will only grab the most recent frame
     # However, this means that the video may be choppy
     # Only do this for streams
-    for stream in video_sources["streams"]:
-        stream.set(cv2.CAP_PROP_BUFFERSIZE, 1)
+    try:
+        for stream in video_sources["streams"]:
+            stream.set(cv2.CAP_PROP_BUFFERSIZE, 1)
+    # If there are no streams, this will throw a KeyError
+    except KeyError:
+        pass
+
+    # Print out the resolution of the video sources. Ideally, change this so the device ID/url is also printed
+    pretty_table = PrettyTable(field_names=["Source Type", "Resolution"])
+    for source_type, sources in video_sources.items():
+        for source in sources:
+            pretty_table.add_row(
+                [source_type, f"{source.get(cv2.CAP_PROP_FRAME_WIDTH)}x{source.get(cv2.CAP_PROP_FRAME_HEIGHT)}"]
+            )
+    print(pretty_table)
 
-    # Print the resolution of the video
-    print(
-        f"Video resolution: {video_capture.get(cv2.CAP_PROP_FRAME_WIDTH)}x{video_capture.get(cv2.CAP_PROP_FRAME_HEIGHT)}"  # noqa: E501
-    )
     print
     print("Beginning video capture...")
     while True:

wyzely_detect/utils/utils.py

@@ -1,8 +1,13 @@
 import cv2
+import os
 import numpy as np
 from pathlib import Path
-from deepface import DeepFace
-from . import notify
+# https://stackoverflow.com/a/42121886/18270659
+os.environ['TF_CPP_MIN_LOG_LEVEL']='3'
+
+
+from deepface import DeepFace # noqa: E402
+from . import notify # noqa: E402
 
 first_face_try = True