ghost
commented
2 years ago Hello, I have the same issue. Did you find a way to solve it ?
Open jiangzhubo opened 4 years ago
ghost
commented
2 years ago Hello, I have the same issue. Did you find a way to solve it ?
hi, i am training my own dataset, my input is real image and output is a mask. and i found a situation, during the training,, the epochxx_weigh.jpg is always black, do you know the reasons and what is epochxx_weight.jpg means? following are my settings:
------------ Options ------------- TTUR: False add_face_disc: False basic_point_only: False batchSize: 1 beta1: 0.5 checkpoints_dir: ./checkpoints continue_train: False dataroot: datasets/plax2 dataset_mode: temporal debug: False densepose_only: False display_freq: 100 display_id: 0 display_winsize: 512 feat_num: 3 fg: False fg_labels: [255] fineSize: 256 fp16: False gan_mode: ls gpu_ids: [0] input_nc: 3 isTrain: True label_feat: False label_nc: 0 lambda_F: 10.0 lambda_T: 10.0 lambda_feat: 10.0 loadSize: 256 load_features: False load_pretrain: local_rank: 0 lr: 0.0002 max_dataset_size: inf max_frames_backpropagate: 2 max_frames_per_gpu: 8 max_t_step: 1 model: vid2vid nThreads: 2 n_blocks: 9 n_blocks_local: 3 n_downsample_E: 3 n_downsample_G: 3 n_frames_D: 3 n_frames_G: 3 n_frames_total: 3 n_gpus_gen: 1 n_layers_D: 3 n_local_enhancers: 1 n_scales_spatial: 1 n_scales_temporal: 2 name: plaxs6 ndf: 64 nef: 32 netE: simple netG: composite ngf: 128 niter: 20 niter_decay: 25 niter_fix_global: 0 niter_step: 8 no_canny_edge: False no_dist_map: False no_first_img: True no_flip: True no_flow: False no_ganFeat: False no_html: False no_vgg: False norm: batch num_D: 1 openpose_only: False output_nc: 3 phase: train pool_size: 1 print_freq: 100 random_drop_prob: 0.05 random_scale_points: False remove_face_labels: False resize_or_crop: scaleWidth save_epoch_freq: 1 save_latest_freq: 1000 serial_batches: False sparse_D: False tf_log: False use_instance: False use_single_G: False which_epoch: latest -------------- End ----------------