KaiyangZhou
commented
3 years ago Open Easybuddys opened 3 years ago
KaiyangZhou
commented
3 years ago 
Easybuddys
commented
3 years ago Sorry, it's still useless.
Easybuddys
commented
3 years ago D:\Archive\python\deep-person-reid-dev1\deep-person-reid-dev>python scripts/main.py --config-file configs/im_osnet_x1_0_softmax_256x128_amsgrad_cosine.yaml -s dukemtmcreid -t dukemtmcreid --transforms random_flip random_erase --root D:\Archive\python\deep-person-reid-dev data.save_dir log/osnet_x1_0_dukemtmcreid_softmax_cosinelr Show configuration adam: beta1: 0.9 beta2: 0.999 cuhk03: classic_split: False labeled_images: False use_metric_cuhk03: False data: combineall: False height: 256 load_train_targets: False norm_mean: [0.485, 0.456, 0.406] norm_std: [0.229, 0.224, 0.225] root: D:\Archive\python\deep-person-reid-dev save_dir: log/osnet_x1_0_dukemtmcreid_softmax_cosinelr sources: ['dukemtmcreid'] split_id: 0 targets: ['dukemtmcreid'] transforms: ['random_flip', 'random_erase'] type: image width: 128 workers: 4 loss: name: softmax softmax: label_smooth: True triplet: margin: 0.3 weight_t: 1.0 weight_x: 0.0 market1501: use_500k_distractors: False model: load_weights: name: osnet_x1_0 pretrained: True resume: rmsprop: alpha: 0.99 sampler: num_instances: 4 train_sampler: RandomSampler sgd: dampening: 0.0 momentum: 0.9 nesterov: False test: batch_size: 300 dist_metric: euclidean eval_freq: -1 evaluate: False normalize_feature: False ranks: [1, 5, 10, 20] rerank: False start_eval: 0 visactmap: False visrank: False visrank_topk: 10 train: base_lr_mult: 0.1 batch_size: 64 fixbase_epoch: 10 gamma: 0.1 lr: 0.0015 lr_scheduler: cosine max_epoch: 250 new_layers: ['classifier'] open_layers: ['classifier'] optim: amsgrad print_freq: 20 seed: 1 staged_lr: False start_epoch: 0 stepsize: [20] weight_decay: 0.0005 use_gpu: True video: pooling_method: avg sample_method: evenly seq_len: 15
Collecting env info ...
Traceback (most recent call last):
File "scripts/main.py", line 185, in
Easybuddys
commented
3 years ago Thank God, I have solved this problem I am a Windows environment, using the default data set, that is, I did not manually prepare the data set. At the beginning, I did not specify the Unicode code page, but used the default code page (936) of the windows command line. After changing the code page and using your solution, UnicodeDecodeError still appears Later, I manually prepared the cuhk01 data set and specified it in the command line.
I'm using Win10. Collecting env info ... Traceback (most recent call last): File "scripts/main.py", line 185, in
main()
File "scripts/main.py", line 141, in main
print(' System info \n{}\n'.format(collect_env_info()))
File "d:\archive\cplusplus-project\deep-person-reid-master\deep-person-reid-master\torchreid\utils\tools.py", line 127, in collect_env_info
env_str = get_pretty_env_info()
File "E:\Programs\Anaconda3-5.3.1\lib\site-packages\torch\utils\collect_env.py", line 376, in get_pretty_env_info
return pretty_str(get_env_info())
File "E:\Programs\Anaconda3-5.3.1\lib\site-packages\torch\utils\collect_env.py", line 274, in get_env_info
os=get_os(run_lambda),
File "E:\Programs\Anaconda3-5.3.1\lib\site-packages\torch\utils\collect_env.py", line 194, in get_os
return get_windows_version(run_lambda)
File "E:\Programs\Anaconda3-5.3.1\lib\site-packages\torch\utils\collect_env.py", line 178, in get_windows_version
return run_and_read_all(run_lambda, 'wmic os get Caption | findstr /v Caption')
File "E:\Programs\Anaconda3-5.3.1\lib\site-packages\torch\utils\collect_env.py", line 52, in run_and_readall
rc, out, = run_lambda(command)
File "E:\Programs\Anaconda3-5.3.1\lib\site-packages\torch\utils\collect_env.py", line 45, in run
output = output.decode("utf-8")
UnicodeDecodeError: 'utf-8' codec can't decode byte 0xb0 in position 25: invalid start byte