Jianqiang Mei
Jianqiang Mei
Environment: GTX 3090 torch1.7.0+cu110 torchvision0.8.1 python3.8 File: if __name__ == '__main__': # main() img_l = torch.randn(1,3,512,256).cuda() img_r = torch.randn(1,3,512,256).cuda() f = r"../results/pretrained_anynet/checkpoint.tar" checkpoint = torch.load(f) checkpoint['state_dict'] = proc_nodes_module(checkpoint, 'state_dict') model...
请问作者大大论文中的disparity pseudo-ground-truth 那个图是怎么生成的呀,在哪里可以看到
OFFLINE_2D_PREDICTIONS: models/kitti/car/vob/mask/inference/kitti_%s_vob_car/predictions OPTIMIZER: SGD PRINT_INTERVAL: 1 PRINT_ITERATION: False REMOVE_EMPTY_ANNOTATIONS_TRAIN: False SCHEDULER: OneCycleScheduler STEPS: (30000,) TRAIN_2D: True TRAIN_PC: False TRAIN_PSM: True UNCERT_LOSS_WEIGHT: 0 WARMUP_FACTOR: 0.3333333333333333 WARMUP_ITERS: 500 WARMUP_METHOD: linear WEIGHT_DECAY: 0.0001...