diff --git a/detect.py b/detect.py
index 827389bd..4e4f466d 100755
--- a/detect.py
+++ b/detect.py
@@ -145,3 +145,5 @@ def main(opt):
 if __name__ == '__main__':
     torch.cuda.empty_cache()
     main(opt)
+    if platform == 'darwin':  # MacOS (local)
+        os.system('open ' + opt.output_folder)
diff --git a/utils/gcp.sh b/utils/gcp.sh
index 691e1257..88c88eaa 100644
--- a/utils/gcp.sh
+++ b/utils/gcp.sh
@@ -1,7 +1,7 @@
 #!/usr/bin/env bash
 
 # Start
-sudo rm -rf yolov3 && git clone https://github.com/ultralytics/yolov3 && cd yolov3 && python3 train.py
+sudo rm -rf yolov3 && git clone https://github.com/ultralytics/yolov3 && cd yolov3 && python3 train.py -epochs 2
 
 # Resume
 python3 train.py -resume 1
diff --git a/utils/utils.py b/utils/utils.py
index f62eca34..0a4c6f02 100755
--- a/utils/utils.py
+++ b/utils/utils.py
@@ -436,7 +436,7 @@ def plot_results():
     import matplotlib.pyplot as plt
     plt.figure(figsize=(16, 8))
     s = ['X', 'Y', 'Width', 'Height', 'Objectness', 'Classification', 'Total Loss', 'Precision', 'Recall', 'mAP']
-    for f in ('results.txt',
+    for f in ('results5.txt','results_new.txt','results3.txt',
               ):
         results = np.loadtxt(f, usecols=[2, 3, 4, 5, 6, 7, 8, 9, 10]).T  # column 16 is mAP
         for i in range(9):