Can get cropped images from back

.gitignore

@@ -12,3 +12,5 @@ home/modules/mask_rcnn_inception_v2_coco_2018_01_28/
 home/modules/mask_rcnn_resnet50_atrous_coco_2018_01_28/
 .floydexpt
 input/
+home/.png
+home/images/

home/app.py

@@ -1,18 +1,53 @@
-from flask import Flask, jsonify, request
+from flask import Flask, jsonify, request, send_file
+from modules.detector import Detector
+from keras.preprocessing.image import ImageDataGenerator, img_to_array, load_img, array_to_img, save_img
+from werkzeug.utils import secure_filename
+import os
 
 app = Flask(__name__)
 
+detector = None
 
+def load_detector():
+    global detector
+    if detector == None:
+        detector = Detector('yolo')
+    return detector
 
 # The request method is POST (this method enables your to send arbitrary data to the endpoint in the request body, including images, JSON, encoded-data, etc.)
 @app.route('/', methods=["POST"])
 def evaluate():
     input_image = request.files.get('image')
-    print('333')
+    detector = load_detector()
 
-    return "success"
+    filename = secure_filename('recognizing_image.jpg')
+    image_dir = './images'
+    input_filepath = os.path.join(image_dir, filename)
+    output_filepath = os.path.join(image_dir, 'recognized_image.jpg')
+
+    if os.path.exists(image_dir) == False:
+        os.mkdir(image_dir)
+
+    input_image.save(input_filepath)
+
+    car_image = detector.crop_image(
+        source_image=input_filepath,
+        input_type='file',
+        params={
+            'detect_largest_box': True,
+            'smallest_detected_area': 0.2,
+        }
+    )
+
+    save_img(output_filepath, car_image)
+
+    car_image_array = img_to_array(car_image)
+
+    return send_file(output_filepath, mimetype='image/jpg')
 
 # The following is for running command `python app.py` in local development, not required for serving on FloydHub.
 if __name__ == "__main__":
+    print('* Loading detection model...')
+    load_detector()
     print("* Starting web server... please wait until server has fully started")
     app.run(host='0.0.0.0', threaded=False)