Feat/load env variables (#754)

* remove extra api key usage

* auto load env variables

Author: klemen1999

apps/default-app/README.md

@@ -17,8 +17,6 @@ Here is a list of all available parameters:
 ```
 -d DEVICE, --device DEVICE
                       Optional name, DeviceID or IP of the camera to connect to. (default: None)
--api API_KEY, --api_key API_KEY
-                      HubAI API key to access private model. (default: )
 ```
 
 ## Peripheral Mode

apps/default-app/main.py

@@ -25,12 +25,7 @@
         f"yolov6_nano_r2_coco.{platform.name}.yaml"
     )
 
-    nn_archive = dai.NNArchive(
-        dai.getModelFromZoo(
-            model_description,
-            apiKey=args.api_key,
-        )
-    )
+    nn_archive = dai.NNArchive(dai.getModelFromZoo(model_description))
     cameraNode = pipeline.create(dai.node.Camera).build(dai.CameraBoardSocket.CAM_A)
 
     if platform == dai.Platform.RVC2:

apps/default-app/utils/arguments.py

@@ -17,15 +17,6 @@ def initialize_argparser():
         type=str,
     )
 
-    parser.add_argument(
-        "-api",
-        "--api_key",
-        help="HubAI API key to access private model.",
-        required=False,
-        default="",
-        type=str,
-    )
-
     args = parser.parse_args()
 
     return parser, args

integrations/hub-snaps-events/main.py

@@ -2,6 +2,7 @@
 from pathlib import Path
 from functools import partial
 from typing import Dict
+from dotenv import load_dotenv
 
 import depthai as dai
 from depthai_nodes.node import (
@@ -11,6 +12,8 @@
 )
 from utils.arguments import initialize_argparser
 
+load_dotenv(override=True)
+
 _, args = initialize_argparser()
 
 if args.fps_limit and args.media_path:
@@ -19,13 +22,12 @@
         "WARNING: FPS limit is set but media path is provided. FPS limit will be ignored."
     )
 
+if args.api_key:
+    os.environ["DEPTHAI_HUB_API_KEY"] = args.api_key
 
 visualizer = dai.RemoteConnection(httpPort=8082)
 device = dai.Device(dai.DeviceInfo(args.device)) if args.device else dai.Device()
 
-if args.api_key:
-    os.environ["DEPTHAI_HUB_API_KEY"] = args.api_key
-
 
 def custom_snap_process(
     producer: SnapsProducer,

integrations/hub-snaps-events/oakapp.toml

@@ -14,4 +14,4 @@ build_steps = []
 
 depthai_models = { yaml_path = "./depthai_models" }
 
-entrypoint = ["bash", "-c", "python3 -u /app/main.py --api-key <API_KEY>"]
+entrypoint = ["bash", "-c", "python3 -u /app/main.py"]

integrations/hub-snaps-events/requirements.txt

@@ -1,2 +1,4 @@
 depthai==3.0.0rc2
 depthai-nodes==0.3.0
+python-dotenv
+

neural-networks/generic-example/README.md

@@ -21,7 +21,7 @@ Here is a list of all available parameters:
 -media MEDIA_PATH, --media_path MEDIA_PATH
                       Path to the media file you aim to run the model on. If not set, the model will run on the camera input. (default: None)
 -api API_KEY, --api_key API_KEY
-                      HubAI API key to access private model. (default: )
+                      HubAI API key to access private model. Can also use 'DEPTHAI_HUB_API_KEY' environment variable instead. (default: )
 -overlay OVERLAY_MODE, --overlay_mode
                       If passed, overlays model output on the input image when the output is an array (e.g., depth maps, segmentation maps). Otherwise, displays outputs separately.
 ```

neural-networks/generic-example/main.py

@@ -1,11 +1,19 @@
+import os
+from dotenv import load_dotenv
+
 import depthai as dai
 from depthai_nodes.node import ParsingNeuralNetwork, ImgFrameOverlay, ApplyColormap
 
 from utils.arguments import initialize_argparser
 from utils.input import create_input_node
 
+load_dotenv(override=True)
+
 _, args = initialize_argparser()
 
+if args.api_key:
+    os.environ["DEPTHAI_HUB_API_KEY"] = args.api_key
+
 visualizer = dai.RemoteConnection(httpPort=8082)
 device = dai.Device(dai.DeviceInfo(args.device)) if args.device else dai.Device()
 platform = device.getPlatformAsString()
@@ -18,13 +26,7 @@
     model_description = dai.NNModelDescription(f"yolov6_nano_r2_coco.{platform}.yaml")
     if model_description.model != args.model:
         model_description = dai.NNModelDescription(args.model, platform=platform)
-
-    nn_archive = dai.NNArchive(
-        dai.getModelFromZoo(
-            model_description,
-            apiKey=args.api_key,
-        )
-    )
+    nn_archive = dai.NNArchive(dai.getModelFromZoo(model_description))
 
     # media/camera input
     input_node = create_input_node(

neural-networks/generic-example/requirements.txt

@@ -2,3 +2,4 @@ depthai==3.0.0rc2
 depthai-nodes==0.3.2
 opencv-python-headless~=4.10.0
 numpy>=1.22
+python-dotenv

neural-networks/generic-example/utils/arguments.py

@@ -51,7 +51,7 @@ def initialize_argparser():
     parser.add_argument(
         "-api",
         "--api_key",
-        help="HubAI API key to access private model.",
+        help="HubAI API key to access private model. Can also use 'DEPTHAI_HUB_API_KEY' environment variable instead.",
         required=False,
         default="",
         type=str,