Updated face-detection example

cloudvision/handler.py

@@ -1,4 +1,3 @@
-import argparse
 import logging
 import os
 import sys
@@ -12,8 +11,7 @@
 def lambda_handler(event, context):
     """AWS Lambda Handler for API Gateway input"""
     post_args = event.get("body", {})
-    image_url = post_args.get("image_url",
-                              "https://raw.githubusercontent.com/ramhiser/serverless-cloud-vision/master/examples/images/ramhiser-and-son.jpg")
+    image_url = post_args["image_url"]
     detect_type = post_args.get("detect_type", "FACE_DETECTION")
     max_results = post_args.get("max_results", 4)
 
@@ -27,32 +25,3 @@ def lambda_handler(event, context):
     return json_return
 
 
-if __name__ == '__main__':
-        parser = argparse.ArgumentParser(
-            description='Detects faces in the given image.'
-        )
-        parser.add_argument(
-            '-i', '--image_url',
-            help='The image URL to send to Google Cloud Vision API ',
-            required=True
-        )
-        parser.add_argument(
-            '-d', '--detect_type',
-            help='detection type to perform. Default: %(default)s',
-            default="FACE_DETECTION"
-        )
-        parser.add_argument(
-            '-m', '--max_results',
-            help='the max number of entities to detect. Default: %(default)s',
-            default=4,
-            type=int
-        )
-
-        args = parser.parse_args()
-
-        detection_results = detect_image(args.image_url,
-                                         args.detect_type,
-                                         args.max_results)
-
-        print detection_results
-

examples/face_detection.py

@@ -1,9 +1,11 @@
-from PIL import Image
-from PIL import ImageDraw
+import argparse
+import json
 import urllib2
+import requests
 import cStringIO
 
-from lambda_cloudvision import detect_image
+from PIL import Image
+from PIL import ImageDraw
 
 
 def highlight_faces(image_url, faces, output_filename):
@@ -17,8 +19,8 @@ def highlight_faces(image_url, faces, output_filename):
           faces have polygons drawn around them.
     """
     img = urllib2.urlopen(image_url)
-    if img.headers.maintype != 'image':
-        raise TypeError('Invalid filetype given')
+    if img.headers.maintype != "image":
+        raise TypeError("Invalid filetype given")
 
     # Source: http://stackoverflow.com/a/7391991/234233
     img_file = cStringIO.StringIO(img.read())
@@ -27,14 +29,52 @@ def highlight_faces(image_url, faces, output_filename):
     draw = ImageDraw.Draw(im)
 
     for face in faces["responses"][0]["faceAnnotations"]:
-        box = [(v.get('x', 0.0), v.get('y', 0.0)) for v in
-               face['boundingPoly']['vertices']]
-        draw.line(box + [box[0]], width=5, fill='#00ff00')
+        box = [(v.get("x", 0.0), v.get("y", 0.0)) for v in
+               face["boundingPoly"]["vertices"]]
+        draw.line(box + [box[0]], width=5, fill="#00ff00")
 
     del draw
     im.save(output_filename)
 
+
 if __name__ == '__main__':
-    image_url = "https://raw.githubusercontent.com/ramhiser/aws-lambda-cloud-vision/master/images/highlighted-faces.jpg"
-    faces = detect_image(image_url, detect_type="FACE_DETECTION")
-    highlight_faces(image_url, faces, "images/highlighted-faces.jpg")
+    parser = argparse.ArgumentParser(
+        description="Detects faces in the given image."
+    )
+    parser.add_argument(
+        "-i", "--image_url",
+        help="The image URL to send to Google Cloud Vision API ",
+        required=True
+    )
+    parser.add_argument(
+        "-m", "--max_results",
+        help="the max number of entities to detect. Default: %(default)s",
+        default=4,
+        type=int
+    )
+    parser.add_argument(
+        "-e", "--endpoint",
+        help="The API Gateway endpoint to use",
+        required=True
+    )
+    parser.add_argument(
+        "-o", "--output",
+        help="The filename of the output image. Default: %(default)s",
+        default="images/highlighted-faces.jpg"
+    )
+
+    args = parser.parse_args()
+
+    post_params = {
+        "image_url": args.image_url,
+        "detect_type": "FACE_DETECTION",
+        "max_results": args.max_results
+    }
+
+    # Lazy and used requests in addition to urllib2
+    r = requests.post(args.endpoint,
+                      data=json.dumps(post_params),
+                      headers={'content-type': 'application/json'})
+    detection_results = r.json()
+
+    highlight_faces(args.image_url, detection_results, args.output)

requirements.txt

@@ -1,3 +1,4 @@
 google-api-python-client==1.5.1
 oauth2client==3.0.0
 Pillow==3.3.0
+requests==2.11.0