total 52 -rw-r--r-- 1 root root 52789 Feb 10 22:09 image.jpg running on device 0 0%| | 0/1 [00:00 image Running depth extraction at 1676066967.4100652 BoostingMonocularDepth/inputs/*.jpg BoostingMonocularDepth/outputs/*.png device: cuda Namespace(Final=True, R0=False, R20=False, colorize_results=False, data_dir='inputs/', depthNet=0, max_res=inf, net_receptive_field_size=None, output_dir='outputs', output_resolution=1, pix2pixsize=1024, savepatchs=0, savewholeest=0) ----------------- Options --------------- Final: True [default: False] R0: False R20: False aspect_ratio: 1.0 batch_size: 1 checkpoints_dir: ./pix2pix/checkpoints colorize_results: False crop_size: 672 data_dir: inputs/ [default: None] dataroot: None dataset_mode: depthmerge depthNet: 0 [default: None] direction: AtoB display_winsize: 256 epoch: latest eval: False generatevideo: None gpu_ids: 0 init_gain: 0.02 init_type: normal input_nc: 2 isTrain: False [default: None] load_iter: 0 [default: 0] load_size: 672 max_dataset_size: 10000 max_res: inf model: pix2pix4depth n_layers_D: 3 name: void ndf: 64 netD: basic netG: unet_1024 net_receptive_field_size: None ngf: 64 no_dropout: False no_flip: False norm: none num_test: 50 num_threads: 4 output_dir: outputs [default: None] output_nc: 1 output_resolution: None phase: test pix2pixsize: None preprocess: resize_and_crop savecrops: None savewholeest: None serial_batches: False suffix: verbose: False ----------------- End ------------------- initialize network with normal loading the model from ./pix2pix/checkpoints/mergemodel/latest_net_G.pth Loading weights: midas/model.pt Downloading: "https://github.com/facebookresearch/WSL-Images/zipball/main" to /root/.cache/torch/hub/main.zip Downloading: "https://download.pytorch.org/models/ig_resnext101_32x8-c38310e5.pth" to /root/.cache/torch/hub/checkpoints/ig_resnext101_32x8-c38310e5.pth 0%| | 0.00/340M [00:00