FileNotFoundError: [Errno 2] No such file or directory: 'results/Lab/demo/test_shape_codes.p'

[mhaboali]

I followed those step mentioned in the ReadMe file and it worked properly as expected until I reached the 4th command to run this command inside ./preprocess directory ./encode_shape_texture_features.sh

And here's the tail of the log where the error messages exist /home/h/FashionPlus/checkpoint/humanparsing/latest_Separate_encoder.pth not exists yet! /home/h/FashionPlus/checkpoint/humanparsing/latest_Together_encoder.pth not exists yet! /home/h/FashionPlus/checkpoint/humanparsing/latest_Decoder.pth not exists yet! create web directory /home/h/FashionPlus/checkpoint/humanparsing/web... /home/h/anaconda3/envs/fashion/lib/python3.6/site-packages/torchvision/transforms/transforms.py:188: UserWarning: The use of the transforms.Scale transform is deprecated, please use transforms.Resize instead. "please use transforms.Resize instead.") /home/h/anaconda3/envs/fashion/lib/python3.6/site-packages/torchvision/transforms/transforms.py:188: UserWarning: The use of the transforms.Scale transform is deprecated, please use transforms.Resize instead. "please use transforms.Resize instead.") /home/h/anaconda3/envs/fashion/lib/python3.6/site-packages/torchvision/transforms/transforms.py:188: UserWarning: The use of the transforms.Scale transform is deprecated, please use transforms.Resize instead. "please use transforms.Resize instead.") Traceback (most recent call last): File "./encode_features.py", line 84, in <module> with open(save_name, 'wb') as writefile: FileNotFoundError: [Errno 2] No such file or directory: 'results/Lab/demo/test_shape_codes.p' THCudaCheck FAIL file=torch/csrc/cuda/Module.cpp line=32 error=38 : no CUDA-capable device is detected Traceback (most recent call last): File "./encode_clothing_features.py", line 18, in <module> opt = TrainOptions().parse() File "/home/h/FashionPlus/generation/options/base_options.py", line 122, in parse torch.cuda.set_device(self.opt.gpu_ids[0]) File "/home/h/anaconda3/envs/fashion/lib/python3.6/site-packages/torch/cuda/__init__.py", line 262, in set_device torch._C._cuda_setDevice(device) RuntimeError: cuda runtime error (38) : no CUDA-capable device is detected at torch/csrc/cuda/Module.cpp:32

And here are the configuration from the log: `./encode_shape_texture_features.sh ++ NZ=8 ++ OUTPUT_NC=18 ++ MAX_MULT=8 ++ DOWN_SAMPLE=7 ++ BOTNK=1d ++ LAMBDA_KL=0.0001 ++ DIVIDE_K=4 ++ for ARGUMENT in "$@" +++ echo CLASS=humanparsing +++ cut -f1 -d= ++ KEY=CLASS +++ cut -f2 -d= +++ echo CLASS=humanparsing ++ VALUE=humanparsing ++ case "$KEY" in ++ CLASS=humanparsing ++ for ARGUMENT in "$@" +++ echo LABEL_DIR=/home/h/FashionPlus/datasets/labels/ +++ cut -f1 -d= ++ KEY=LABEL_DIR +++ echo LABEL_DIR=/home/h/FashionPlus/datasets/labels/ +++ cut -f2 -d= ++ VALUE=/home/h/FashionPlus/datasets/labels/ ++ case "$KEY" in ++ LABEL_DIR=/home/h/FashionPlus/datasets/labels/ ++ for ARGUMENT in "$@" +++ echo SHAPE_GEN_PATH=/home/h/FashionPlus/checkpoint/ +++ cut -f1 -d= ++ KEY=SHAPE_GEN_PATH +++ echo SHAPE_GEN_PATH=/home/h/FashionPlus/checkpoint/ +++ cut -f2 -d= ++ VALUE=/home/h/FashionPlus/checkpoint/ ++ case "$KEY" in ++ SHAPE_GEN_PATH=/home/h/FashionPlus/checkpoint/ ++ python ./encode_features.py --phase test --dataroot ./datasets/demo --label_dir /home/h/FashionPlus/datasets/labels/ --label_txt_path ./datasets/humanparsing/clothing_labels.txt --dataset_param_file ./datasets/humanparsing/garment_label_part_map.json --name humanparsing --share_decoder --share_encoder --separate_clothing_unrelated --nz 8 --checkpoints_dir /home/h/FashionPlus/checkpoint/ --output_nc 18 --use_dropout --lambda_kl 0.0001 --max_mult 8 --n_downsample_global 7 --bottleneck 1d --resize_or_crop pad_and_resize --loadSize 256 --batchSize 1 --divide_by_K 4 ------------ Options ------------- aspect_ratio: 1.0 batchSize: 1 bottleneck: 1d center_crop: False checkpoints_dir: /home/h/FashionPlus/checkpoint/ cluster_path: features_clustered_010.npy condition_idx: None dataroot: ./datasets/demo dataset_mode: aligned dataset_param_file: ./datasets/humanparsing/garment_label_part_map.json display_id: 1 display_port: 8097 display_server: http://localhost display_winsize: 256 divide_by_K: 4 engine: None export_onnx: None fineSize: 256 gpu_ids: [0] how_many: 50 init_type: xavier input_nc: 3 isTrain: False label_dir: /home/h/FashionPlus/datasets/labels/ label_txt_path: ./datasets/humanparsing/clothing_labels.txt lambda_kl: 0.0001 loadSize: 256 load_feat_dir: ./results/ log_to_filename: /checkpoint/kimberlyhsiao/.visdom/ max_dataset_size: inf max_mult: 8 model: bicycle_gan nThreads: 4 n_blocks_global: 9 n_downsample_global: 7 n_samples: 5 name: humanparsing ndf: 64 nef: 64 ngf: 64 nl: relu no_flip: False norm: instance ntest: inf nz: 8 onnx: None output_nc: 18 phase: test reference_idx: None resize_or_crop: pad_and_resize results_dir: ./results/ separate_clothing_unrelated: True serial_batches: False share_decoder: True share_encoder: True suffix: swap_piece: None tf_log: False upsample: basic use_dropout: True verbose: False where_add: all which_direction: AtoB which_epoch: latest which_model_netE: resnet_256 which_model_netG: unet_256 -------------- End ---------------- dataset [AlignedDataset] was created

training images = 3

/home/h/FashionPlus/checkpoint/humanparsing/latest_Separate_encoder.pth not exists yet! /home/h/FashionPlus/checkpoint/humanparsing/latest_Together_encoder.pth not exists yet! /home/h/FashionPlus/checkpoint/humanparsing/latest_Decoder.pth not exists yet! `

[wlhsiao]

Hi, The folder result/Lab/demo should be created before running the script. Will update the repo soonish, but creating this folder should solve this error.

[mhaboali]

Thanks for your reply, Where should I create those directories?

I've tried to create those folders in several places, but I got the same error.

[ayush9198gupta]

Hello All,

I have tried all the steps mentioned in the repo. and its working but when i am trying the command or applying the last step to check the results with images

Command run :- ( ./scripts/edit_and_visualize_demo.sh 3.jpg shape_and_texture True 0 10 0.25)

After execution it gives me error

"Traceback (most recent call last):
  File "update_demo.py", line 596, in <module>
    piece_shape_feat_dict = pickle.load(readfile)
EOFError: Ran out of input
Traceback (most recent call last):
  File "process_face.py", line 124, in <module>
    assert(bbox is not None), 'Cannot find file %s in dictionary' % fname
AssertionError: Cannot find file final_3.jpg in dictionary"

Note : All though this my file in results/Lab/demo/test_shape_codes.p is already presented in mentioned path but its not updated with results.

Kindly suggest Thanks in advance

[hanchaoyuan]

Hello All,

I have tried all the steps mentioned in the repo. and its working but when i am trying the command or applying the last step to check the results with images

Command run :- ( ./scripts/edit_and_visualize_demo.sh 3.jpg shape_and_texture True 0 10 0.25)

After execution it gives me error

"Traceback (most recent call last):
  File "update_demo.py", line 596, in <module>
    piece_shape_feat_dict = pickle.load(readfile)
EOFError: Ran out of input
Traceback (most recent call last):
  File "process_face.py", line 124, in <module>
    assert(bbox is not None), 'Cannot find file %s in dictionary' % fname
AssertionError: Cannot find file final_3.jpg in dictionary"

Note : All though this my file in results/Lab/demo/test_shape_codes.p is already presented in mentioned path but its not updated with results.

Kindly suggest Thanks in advance

Hello, did you solve this problem, I meet a similar problem.