except Exception, msg: ^ SyntaxError: invalid syntax about person-reid-triplet-loss-baseline

[huanghoujing]

Hi, thanks for your attention. These places DATASET_NAME, STRIDE, EXPERIMENT_DIRECTORY, THE_DOWNLOADED_MODEL_WEIGHT_FILE should be replaced by respective values, e.g. by market1501, 1, exp, model_weight.pth. You should specify these.

[vismayaps]

Hi, I tried every possible combinations to run this but I get this "unrecognised arguments error", can you please post the exact command to run ? name of my experiment directory is "test_log", and the downloaded weight file is inside the folder "market501_stride1".

[huanghoujing]

You can share your full command here, and I see if there is a problem.

[vismayaps]

Hi,
Here is the command I am using for testing :

python script/experiment/train.py
-d '(0,)'
--only_test true
--market1501
--1
--normalize_feature false
--exp
--model_weight.pth
and I am getting the following error :
usage: train.py [-h] [-d SYS_DEVICE_IDS] [-r RUN] [--set_seed SET_SEED]
[--dataset {market1501,cuhk03,duke,combined}]
[--trainset_part {trainval,train}] [--resize_h_w RESIZE_H_W]
[--crop_prob CROP_PROB] [--crop_ratio CROP_RATIO]
[--mirror MIRROR] [--ids_per_batch IDS_PER_BATCH]
[--ims_per_id IMS_PER_ID] [--log_to_file LOG_TO_FILE]
[--steps_per_log STEPS_PER_LOG]
[--epochs_per_val EPOCHS_PER_VAL] [--last_conv_stride {1,2}]
[--normalize_feature NORMALIZE_FEATURE] [--margin MARGIN]
[--only_test ONLY_TEST] [--resume RESUME] [--exp_dir EXP_DIR]
[--model_weight_file MODEL_WEIGHT_FILE] [--base_lr BASE_LR]
[--lr_decay_type {exp,staircase}]
[--exp_decay_at_epoch EXP_DECAY_AT_EPOCH]
[--staircase_decay_at_epochs STAIRCASE_DECAY_AT_EPOCHS]
[--staircase_decay_multiply_factor STAIRCASE_DECAY_MULTIPLY_FACTOR]
[--total_epochs TOTAL_EPOCHS]
train.py: error: ambiguous option: --exp could match --exp_dir, --exp_decay_at_epoch
Thanks !!

[huanghoujing]

OK, (1) you missed the trailing backslashes \ for multi-line command. (2) Some keywords are missing in your command. The modified version is as follows. You may try it.

python script/experiment/train.py \
-d '(0,)' \
--only_test true \
--dataset market1501 \
--last_conv_stride 1 \
--normalize_feature false \
--exp_dir exp \
--model_weight_file model_weight.pth