Some categories removed

app.py

@@ -212,7 +212,7 @@ def process_video(
 
 def process_image_real_time(
     input_image: np.ndarray,
-    categories: str = "safety helmet, safety glasses, hearing protectors, protective masks, safety shoes, protective gloves, seat belt, person, bicycle, car, motorcycle, airplane, dining table, bus, train, truck, boat, traffic light, fire hydrant, stop sign, parking meter, bench, bird, cat, dog, horse, sheep, cow, elephant, bear, zebra, giraffe, backpack, umbrella, handbag, tie, suitcase, frisbee, skis, snowboard, sports ball, kite, baseball bat, baseball glove, skateboard, surfboard, tennis racket, bottle, wine glass, cup, fork, knife, spoon, bowl, banana, apple, sandwich, orange, broccoli, carrot, hot dog, pizza, donut, cake, chair, couch, potted plant, bed, toilet, tv, laptop, mouse, remote, keyboard, cell phone, microwave, oven, toaster, sink, refrigerator, book, clock, vase, scissors, teddy bear, hair drier, toothbrush",
+    categories: str = "safety helmet, safety glasses, hearing protectors, protective masks, safety shoes, protective gloves, seat belt, person, bicycle, car, motorcycle, airplane, dining table, bus, train, truck, boat, parking meter, bench, bird, cat, dog, horse, elephant, bear, zebra, giraffe, backpack, umbrella, handbag, tie, suitcase, frisbee, skis, snowboard, sports ball, kite, baseball bat, baseball glove, skateboard, surfboard, tennis racket, bottle, wine glass, cup, fork, knife, spoon, bowl, banana, apple, sandwich, orange, donut, cake, chair, couch, potted plant, bed, toilet, tv, laptop, mouse, remote, keyboard, cell phone, microwave, oven, toaster, sink, refrigerator, book, clock, vase, teddy bear, hair drier, toothbrush",
     confidence_threshold: float = 0.3,
     iou_threshold: float = 0.5,
     # with_segmentation: bool = True,