added test images from holdout set and updated detect_from_image.py t…

…o use opencv instead of matplotlib

Readme.md

@@ -4,6 +4,19 @@ The project in this repo was completely inspired by [Nicholas Renotte](https://g
 
 ![SLD](./media/sign-language-detection.gif)
 
+<b>Test Images</b>
+
+![hello](./media/hello-test.gif)
+
+![iloveyou](./media/iloveyou-test.gif)
+
+![no](./media/no-test.gif)
+
+![ty](./media/thank-you-test.gif)
+
+![yes](./media/yes-test.gif)
+
+
 ## Attribution
 
 This repo is a collection of knowledge gained from others who so generously put together github repos and YouTube videos.  To you I say 'Thank you!'

scripts/detect_from_image.py

@@ -13,7 +13,7 @@
 import glob
 import matplotlib.pyplot as plt
 import model_config as mc
-
+import cv2
 from object_detection.utils import ops as utils_ops
 from object_detection.utils import label_map_util
 from object_detection.utils import visualization_utils as vis_util
@@ -102,8 +102,10 @@ def run_inference(model, category_index, image_path):
                 instance_masks=output_dict.get('detection_masks_reframed', None),
                 use_normalized_coordinates=True,
                 line_thickness=8)
-            plt.imshow(image_np)
-            plt.show()
+            cv2.imshow("Sign", image_np)
+            cv2.waitKey(0)
+            # plt.imshow(image_np)
+            # plt.show()
     else:
         image_np = load_image_into_numpy_array(image_path)
         # Actual detection.
@@ -118,8 +120,10 @@ def run_inference(model, category_index, image_path):
             instance_masks=output_dict.get('detection_masks_reframed', None),
             use_normalized_coordinates=True,
             line_thickness=8)
-        plt.imshow(image_np)
-        plt.show()
+        # plt.imshow(image_np)
+        # plt.show()
+        cv2.imshow("Sign", image_np)
+        cv2.waitKey(0)
 
 
 if __name__ == '__main__':