diff --git a/sahi/models/mmdet.py b/sahi/models/mmdet.py
index 594264703..fb7000ee4 100644
--- a/sahi/models/mmdet.py
+++ b/sahi/models/mmdet.py
@@ -16,7 +16,6 @@
 
 
 try:
-
     check_requirements(["torch", "mmdet", "mmcv", "mmengine"])
 
     from mmdet.apis.det_inferencer import DetInferencer
@@ -104,7 +103,6 @@ def __init__(
         image_size: int = None,
         scope: str = "mmdet",
     ):
-
         if not IMPORT_MMDET_V3:
             raise ImportError("Failed to import `DetInferencer`. Please confirm you have installed 'mmdet>=3.0.0'")
 
diff --git a/sahi/predict.py b/sahi/predict.py
index 04dc6aeed..1740ae9b3 100644
--- a/sahi/predict.py
+++ b/sahi/predict.py
@@ -674,7 +674,7 @@ def predict(
                 export_format=visual_export_format,
             )
             if not novisual and source_is_video:  # export video
-                output_video_writer.write(result["image"])
+                output_video_writer.write(cv2.cvtColor(result["image"], cv2.COLOR_RGB2BGR))
 
         # render video inference
         if view_video:
diff --git a/sahi/utils/cv.py b/sahi/utils/cv.py
index 269dc254c..adb1677dc 100644
--- a/sahi/utils/cv.py
+++ b/sahi/utils/cv.py
@@ -338,7 +338,7 @@ def read_video_frame(video_capture, frame_skip_interval):
                 if not ret:
                     print("\n=========================== Video Ended ===========================")
                     break
-                yield Image.fromarray(frame)
+                yield Image.fromarray(cv2.cvtColor(frame, cv2.COLOR_BGR2RGB))
 
         else:
             while video_capture.isOpened:
@@ -349,7 +349,7 @@ def read_video_frame(video_capture, frame_skip_interval):
                 if not ret:
                     print("\n=========================== Video Ended ===========================")
                     break
-                yield Image.fromarray(frame)
+                yield Image.fromarray(cv2.cvtColor(frame, cv2.COLOR_BGR2RGB))
 
     if export_visual:
         # get video properties and create VideoWriter object