EfficientDet

class mira.detectors.RetinaNet(categories=['person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'traffic light', 'fire hydrant', 'placeholder_12', 'stop sign', 'parking meter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'placeholder_26', 'backpack', 'umbrella', 'placeholder_29', 'placeholder_30', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseball bat', 'baseball glove', 'skateboard', 'surfboard', 'tennis racket', 'bottle', 'placeholder_45', 'wine glass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hot dog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'potted plant', 'bed', 'placeholder_66', 'dining table', 'placeholder_68', 'placeholder_69', 'toilet', 'placeholder_71', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cell phone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'placeholder_83', 'book', 'clock', 'vase', 'scissors', 'teddy bear', 'hair drier', 'placeholder_84'], pretrained_backbone=True, pretrained_top=False, backbone='resnet50', device='cpu', fpn_kwargs=None, detector_kwargs=None, anchor_kwargs=None, resize_config=None)[source]

A wrapper around the FasterRCNN models in torchvision.