Suppress some Flake8 warnings

It's suddenly started complaining about these for no particular reason
I understand.

Signed-off-by: David Plowman <[email protected]>

Author: davidplowman

apps/app_full.py

@@ -169,7 +169,7 @@ def on_pic_button_clicked():
 
 
 def on_mode_change(i):
-    global recording
+    global recording  # noqa
     if recording:
         print("Not switching, recording in progress, so back to video")
         mode_tabs.setCurrentIndex(1)
@@ -207,7 +207,7 @@ def capture_done(job):
             switch_config("preview")
     else:
         # HDR Capture
-        global hdr_imgs
+        global hdr_imgs  # noqa
         request = picam2.wait(job)
         new_img = request.make_array("main")
         new_cv_img = cv2.cvtColor(new_img, cv2.COLOR_RGB2BGR)
@@ -826,7 +826,7 @@ def __init__(self):
         self.layout = QFormLayout()
         self.setLayout(self.layout)
 
-        global implemented_controls, ignore_controls
+        global implemented_controls, ignore_controls  # noqa
         all_controls = picam2.camera_controls.keys()
         other_controls = []
         for control in all_controls:

examples/capture_circular_stream.py

@@ -29,7 +29,7 @@
 
 
 def server():
-    global circ, picam2
+    global circ, picam2  # noqa
     with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as sock:
         sock.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)
         sock.bind(("0.0.0.0", 10001))

examples/stereo_preview.py

@@ -16,7 +16,7 @@ def pre_callback(request):
 
 
 def copy_image(request):
-    global cam2_request
+    global cam2_request  # noqa
     with lock:
         request_2 = cam2_request
         if request_2 is None:

examples/tensorflow/compositing.py

@@ -101,7 +101,7 @@ def InferenceTensorFlow(image, model, label=None):
 
 
 def capture_image_and_masks(picam2: Picamera2, model, label_file):
-    global rectangles
+    global rectangles  # noqa
     picam2.post_callback = None
     # Disable Aec and Awb so all images have the same exposure and colour gains
     picam2.set_controls({"AeEnable": False, "AwbEnable": False})

examples/tensorflow/remove_background.py

@@ -87,7 +87,7 @@ def main():
         InferenceTensorFlow(grey, args.model)
         base_img = np.zeros((normalSize[1], normalSize[0], 3), dtype=np.uint8)
         base_img = Image.fromarray(base_img)
-        global background_mask
+        global background_mask  # noqa
         overlay = Image.composite(background_img, base_img, background_mask)
         overlay.putalpha(background_mask)
         overlay = np.array(overlay)

examples/tensorflow/segmentation.py

@@ -89,7 +89,7 @@ def InferenceTensorFlow(image, model, colours, label=None):
 
 
 def capture_image_and_masks(picam2: Picamera2, model, colour_file, label_file):
-    global masks
+    global masks  # noqa
     # Disable Aec and Awb so all images have the same exposure and colour gains
     picam2.set_controls({"AeEnable": False, "AwbEnable": False})
     time.sleep(1.0)
@@ -152,7 +152,7 @@ def main():
             grey = buffer[:stride * lowresSize[1]].reshape((lowresSize[1], stride))
             InferenceTensorFlow(grey, args.model, colour_file, label_file)
             overlay = np.zeros((normalSize[1], normalSize[0], 4), dtype=np.uint8)
-            global masks
+            global masks  # noqa
             for v in masks.values():
                 overlay += v
             # Set Alphas and overlay