Webcam inference fix (#202)

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>

ultralytics/yolo/engine/predictor.py

@@ -57,7 +57,6 @@ class BasePredictor:
         dataset (Dataset): Dataset used for prediction.
         vid_path (str): Path to video file.
         vid_writer (cv2.VideoWriter): Video writer for saving video output.
-        show (bool): Whether to view image output.
         annotator (Annotator): Annotator used for prediction.
         data_path (str): Path to data.
     """
@@ -88,7 +87,6 @@ class BasePredictor:
         self.device = None
         self.dataset = None
         self.vid_path, self.vid_writer = None, None
-        self.show = None
         self.annotator = None
         self.data_path = None
         self.callbacks = defaultdict(list, {k: [v] for k, v in callbacks.default_callbacks.items()})  # add callbacks
@@ -108,7 +106,7 @@ class BasePredictor:
 
     def setup(self, source=None, model=None):
         # source
-        source = str(source or self.args.source)
+        source = str(source if source is not None else self.args.source)
         is_file = Path(source).suffix[1:] in (IMG_FORMATS + VID_FORMATS)
         is_url = source.lower().startswith(('rtsp://', 'rtmp://', 'http://', 'https://'))
         webcam = source.isnumeric() or source.endswith('.streams') or (is_url and not is_file)
@@ -126,8 +124,10 @@ class BasePredictor:
 
         # Dataloader
         bs = 1  # batch_size
+        if self.args.show:
+            self.args.show = check_imshow(warn=True)
         if webcam:
-            self.show = check_imshow(warn=True)
+            self.args.show = check_imshow(warn=True)
             self.dataset = LoadStreams(source, imgsz=imgsz, stride=stride, auto=pt, vid_stride=self.args.vid_stride)
             bs = len(self.dataset)
         elif screenshot:

ultralytics/yolo/v8/classify/predict.py

@@ -4,7 +4,7 @@ import hydra
 import torch
 
 from ultralytics.yolo.engine.predictor import BasePredictor
-from ultralytics.yolo.utils import DEFAULT_CONFIG
+from ultralytics.yolo.utils import DEFAULT_CONFIG, ROOT
 from ultralytics.yolo.utils.checks import check_imgsz
 from ultralytics.yolo.utils.plotting import Annotator
 
@@ -59,6 +59,8 @@ class ClassificationPredictor(BasePredictor):
 def predict(cfg):
     cfg.model = cfg.model or "squeezenet1_0"
     cfg.imgsz = check_imgsz(cfg.imgsz, min_dim=2)  # check image size
+    cfg.source = cfg.source if cfg.source is not None else ROOT / "assets"
+
     predictor = ClassificationPredictor(cfg)
     predictor()
 

ultralytics/yolo/v8/detect/predict.py

@@ -87,7 +87,7 @@ class DetectionPredictor(BasePredictor):
 def predict(cfg):
     cfg.model = cfg.model or "yolov8n.pt"
     cfg.imgsz = check_imgsz(cfg.imgsz, min_dim=2)  # check image size
-    cfg.source = cfg.source or ROOT / "assets"
+    cfg.source = cfg.source if cfg.source is not None else ROOT / "assets"
     predictor = DetectionPredictor(cfg)
     predictor()
 

ultralytics/yolo/v8/segment/predict.py

@@ -3,7 +3,7 @@
 import hydra
 import torch
 
-from ultralytics.yolo.utils import DEFAULT_CONFIG, ops
+from ultralytics.yolo.utils import DEFAULT_CONFIG, ROOT, ops
 from ultralytics.yolo.utils.checks import check_imgsz
 from ultralytics.yolo.utils.plotting import colors, save_one_box
 
@@ -103,6 +103,8 @@ class SegmentationPredictor(DetectionPredictor):
 def predict(cfg):
     cfg.model = cfg.model or "yolov8n-seg.pt"
     cfg.imgsz = check_imgsz(cfg.imgsz, min_dim=2)  # check image size
+    cfg.source = cfg.source if cfg.source is not None else ROOT / "assets"
+
     predictor = SegmentationPredictor(cfg)
     predictor()