diff --git a/detect.py b/detect.py
index 3e17e254..56194118 100644
--- a/detect.py
+++ b/detect.py
@@ -54,14 +54,6 @@ def detect(save_txt=False, save_img=True, stream_img=False):
     else:
         dataloader = LoadImages(opt.source, img_size=img_size, half=opt.half)
 
-    # Attempt stream_img:
-    if stream_img:
-        try:
-            cv2.imshow('', np.zeros((480, 640, 3)))
-            cv2.destroyAllWindows()
-        except:
-            stream_img = False  # Possible SSH connection, do not stream
-
     # Get classes and colors
     classes = load_classes(parse_data_cfg(opt.data)['names'])
     colors = [[random.randint(0, 255) for _ in range(3)] for _ in range(len(classes))]
diff --git a/utils/gcp.sh b/utils/gcp.sh
index c1f157a2..f56d17ed 100755
--- a/utils/gcp.sh
+++ b/utils/gcp.sh
@@ -3,7 +3,7 @@
 # New VM
 rm -rf sample_data yolov3 darknet apex coco cocoapi knife knifec
 git clone https://github.com/ultralytics/yolov3
-# git clone https://github.com/AlexeyAB/darknet && cd darknet && make GPU=1 CUDNN=1 CUDNN_HALF=1 OPENCV=1 && wget -c https://pjreddie.com/media/files/darknet53.conv.74 && cd ..
+# git clone https://github.com/AlexeyAB/darknet && cd darknet && make GPU=1 CUDNN=1 CUDNN_HALF=1 OPENCV=0 && wget -c https://pjreddie.com/media/files/darknet53.conv.74 && cd ..
 git clone https://github.com/NVIDIA/apex && cd apex && pip install -v --no-cache-dir --global-option="--cpp_ext" --global-option="--cuda_ext" . --user && cd .. && rm -rf apex
 # git clone https://github.com/cocodataset/cocoapi && cd cocoapi/PythonAPI && make && cd ../.. && cp -r cocoapi/PythonAPI/pycocotools yolov3
 sudo conda install -y -c conda-forge scikit-image tensorboard pycocotools