Merge pull request #202 from josephofiowa/main

updated API_KEY to ROBOFLOW_API_KEY for clarity
roboflow · Dec 20, 2023 · f64d58c · f64d58c
2 parents 2b07000 + 983bac2
commit f64d58c
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diff --git a/docs/foundation/gaze.md b/docs/foundation/gaze.md
@@ -26,18 +26,18 @@ import requests
 import os
 
 IMG_PATH = "image.jpg"
-API_KEY = os.environ["API_KEY"]
+ROBOFLOW_API_KEY = os.environ["ROBOFLOW_API_KEY"]
 DISTANCE_TO_OBJECT = 1000  # mm
 HEIGHT_OF_HUMAN_FACE = 250  # mm
-GAZE_DETECTION_URL = "http://127.0.0.1:9001/gaze/gaze_detection?api_key=" + API_KEY
+GAZE_DETECTION_URL = "http://127.0.0.1:9001/gaze/gaze_detection?api_key=" + ROBOFLOW_API_KEY
 
 def detect_gazes(frame: np.ndarray):
     img_encode = cv2.imencode(".jpg", frame)[1]
     img_base64 = base64.b64encode(img_encode)
     resp = requests.post(
         GAZE_DETECTION_URL,
         json={
-            "api_key": API_KEY,
+            "api_key": ROBOFLOW_API_KEY,
             "image": {"type": "base64", "value": img_base64.decode("utf-8")},
         },
     )

diff --git a/examples/gaze-detection/README.md b/examples/gaze-detection/README.md
@@ -13,12 +13,12 @@ git clone https://github.com/roboflow/inference
 cd inference/examples/gaze-detection
 ```
 
-Next, set up a Python environment and install the required project dependencies:
+Next, set up a Python environment and install the required project dependencies (this assumes running these bash commands from the above terminal window install):
 
 ```bash
 python3 -m venv venv
 source venv/bin/activate
-pip install -r requirements.txt
+pip install -r ../../requirements/_requirements.txt
 ```
 
 Next, set up a Roboflow Inference Docker container. This Docker container will manage inference for the gaze detection system. [Learn how to set up an Inference Docker container](https://inference.roboflow.com/quickstart/docker/).

diff --git a/examples/gaze-detection/gaze.py b/examples/gaze-detection/gaze.py
@@ -6,10 +6,10 @@
 import os
 
 IMG_PATH = "image.jpg"
-API_KEY = os.environ["API_KEY"]
+ROBOFLOW_API_KEY = os.environ["ROBOFLOW_API_KEY"]
 DISTANCE_TO_OBJECT = 1000  # mm
 HEIGHT_OF_HUMAN_FACE = 250  # mm
-GAZE_DETECTION_URL = "http://127.0.0.1:9001/gaze/gaze_detection?api_key=" + API_KEY
+GAZE_DETECTION_URL = "http://127.0.0.1:9001/gaze/gaze_detection?api_key=" + ROBOFLOW_API_KEY
 
 
 def detect_gazes(frame: np.ndarray):
@@ -18,7 +18,7 @@ def detect_gazes(frame: np.ndarray):
     resp = requests.post(
         GAZE_DETECTION_URL,
         json={
-            "api_key": API_KEY,
+            "api_key": ROBOFLOW_API_KEY,
             "image": {"type": "base64", "value": img_base64.decode("utf-8")},
         },
     )