coco_category_to_id_v1 = { 0: 'road', 1: 'sidewalk', 2: 'building', 3: 'wall', 4: 'fence', 5: 'pole', 6: 'traffic light', 7: 'traffic sign', 8: 'vegetation', 9: 'terrain', 10: 'sky', 11: 'person', 12: 'rider', 13: 'car', 14: 'truck', 15: 'bus', 16: 'train', 17: 'motorcycle', 18: 'bicycle' } # classes = { # 0: 'background', # 1: 'aeroplane', # 2: 'bicycle', # 3: 'bird', # 4: 'boat', # 5: 'bottle', # 6: 'bus', # 7: 'car', # 8: 'cat', # 9: 'chair', # 10: 'cow', # 11: 'diningtable', # 12: 'dog', # 13: 'horse', # 14: 'motorbike', # 15: 'person', # 16: 'pottedplant', # 17: 'sheep', # 18: 'sofa', # 19: 'train', # 20: 'tvmonitor' # } classes = { 0: 'background', 1: 'person', 2: 'bicycle', 3: 'car', 4: 'motorcycle', 5: 'airplane', 6: 'bus', 7: 'train', 8: 'truck', 9: 'boat', 10: 'traffic light', 11: 'fire hydrant', 12: 'stop sign', 13: 'parking meter', 14: 'bench', 15: 'bird', 16: 'cat', 17: 'dog', 18: 'horse', 19: 'sheep', 20: 'cow', 21: 'elephant', 22: 'bear', 23: 'zebra', 24: 'giraffe', 25: 'backpack', 26: 'umbrella', 27: 'handbag', 28: 'tie', 29: 'suitcase', 30: 'frisbee', 31: 'skis', 32: 'snowboard', 33: 'sports ball', 34: 'kite', 35: 'baseball bat', 36: 'baseball glove', 37: 'skateboard', 38: 'surfboard', 39: 'tennis racket', 40: 'bottle', 41: 'wine glass', 42: 'cup', 43: 'fork', 44: 'knife', 45: 'spoon', 46: 'bowl', 47: 'banana', 48: 'apple', 49: 'sandwich', 50: 'orange', 51: 'broccoli', 52: 'carrot', 53: 'hot dog', 54: 'pizza', 55: 'donut', 56: 'cake', 57: 'chair', 58: 'couch', 59: 'potted plant', 60: 'bed', 61: 'dining table', 62: 'toilet', 63: 'TV', 64: 'laptop', 65: 'mouse', 66: 'remote', 67: 'keyboard', 68: 'cell phone', 69: 'microwave', 70: 'oven', 71: 'toaster', 72: 'sink', 73: 'refrigerator', 74: 'book', 75: 'clock', 76: 'vase', 77: 'scissors', 78: 'teddy bear', 79: 'hair drier', 80: 'toothbrush' } opt = { 'prompt': "a photo of a lion on a mountain top at sunset", 'category': "lion", 'outdir': "Results", 'skip_grid': False, 'skip_save': False, 'ddim_steps': 1, 'thread_num': 1, 'prompt_root': "/", 'fixed_code': False, 'ddim_eta': 0.0, 'n_each_class': 20, 'H': 512, 'W': 512, 'C': 4, 'f': 8, 'n_samples': 1, 'n_rows': 0, 'scale': 7.5, 'from_file': None, 'config': "configs/stable-diffusion/v1-inference.yaml", 'sd_ckpt': "stable_diffusion.ckpt", 'grounding_ckpt': "gen_model.pth", 'seed': 42, 'precision': "autocast", 'classes': { # Define your classes here # Example: 0: 'person', 1: 'bicycle', ... }, # 'SEG_Decorder': # num_classes: 80 # num_queries: 100 # task: "instance" # no_object_weight: 0.1 # CLASS_WEIGHT: 2.0 # MASK_WEIGHT: 5.0 # DICE_WEIGHT: 5.0 # TRAIN_NUM_POINTS: 12544 # OVERSAMPLE_RATIO: 3.0 # IMPORTANCE_SAMPLE_RATIO: 0.75 }