2nd commit

app.py

@@ -70,7 +70,7 @@ def predict2(image_np):
         max_boxes_to_draw=200,
         min_score_thresh=.60,
         agnostic_mode=False,
-        line_thickness=2)
+        line_thickness=8)
 
     result_pil_img = tf.keras.utils.array_to_img(image_np_with_detections[0])
     
@@ -81,7 +81,6 @@ REPO_ID = "szehanz/mytfodmodel"
 detection_model = load_model()
 # pil_image = Image.open(image_path)
 # image_arr = pil_image_as_numpy_array(pil_image)
-
 # predicted_img = predict(image_arr)
 # predicted_img.save('predicted.jpg')