deepinsight / deepinsight/insightface

LocalFileSystem: Check failed: allow_null: :Open "./models/m1-softmax-emore,1-symbol.json": No such file or directory

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Description

Hello, I'm facing the following issue while trying to Fine-tune the Softmax model with Triplet loss:
Command: CUDA_VISIBLE_DEVICES='0,1,2,3' python -u train.py --network m1 --loss triplet --lr 0.005 --pretrained ./models/m1-softmax-emore,1

Error:
gpu num: 4
prefix ./models/m1-triplet-emore/model
image_size [112, 112]
num_classes 85742
Called with argument: Namespace(batch_size=240, ckpt=3, ctx_num=4, dataset='emore', frequent=20, image_channel=3, kvstore='device', loss='triplet', lr=0.005, lr_steps='100000,160000,220000', models_root='./models', mom=0.9, network='m1', per_batch_size=60, pretrained='./models/m1-softmax-emore,1', pretrained_epoch=1, rescale_threshold=0, verbose=2000, wd=0.0005) {'bn_mom': 0.9, 'workspace': 256, 'emb_size': 256, 'ckpt_embedding': True, 'net_se': 0, 'net_act': 'prelu', 'net_unit': 3, 'net_input': 1, 'net_blocks': [1, 4, 6, 2], 'net_output': 'GDC', 'net_multiplier': 1.0, 'val_targets': ['lfw', 'cfp_fp', 'agedb_30'], 'ce_loss': True, 'fc7_lr_mult': 1.0, 'fc7_wd_mult': 1.0, 'fc7_no_bias': False, 'max_steps': 0, 'data_rand_mirror': True, 'data_cutoff': False, 'data_color': 0, 'data_images_filter': 0, 'count_flops': True, 'memonger': False, 'loss_name': 'triplet', 'images_per_identity': 5, 'triplet_alpha': 0.3, 'triplet_bag_size': 7200, 'triplet_max_ap': 0.0, 'per_batch_size': 60, 'lr': 0.05, 'net_name': 'fmobilenet', 'dataset': 'emore', 'dataset_path': '../datasets/faces_emore', 'num_classes': 85742, 'image_shape': [112, 112, 3], 'loss': 'triplet', 'network': 'm1', 'num_workers': 1, 'batch_size': 240}
loading ./models/m1-softmax-emore,1 1
Traceback (most recent call last):
File "train.py", line 486, in
main()
File "train.py", line 482, in main
train_net(args)
File "train.py", line 285, in train_net
_, arg_params, aux_params = mx.model.load_checkpoint(
File "/home/antik/Desktop/Projects/Proctoring-AI-master/face_detection/venv/lib/python3.8/site-packages/mxnet/model.py", line 476, in load_checkpoint
symbol = sym.load('%s-symbol.json' % prefix)
File "/home/antik/Desktop/Projects/Proctoring-AI-master/face_detection/venv/lib/python3.8/site-packages/mxnet/symbol/symbol.py", line 2948, in load
check_call(_LIB.MXSymbolCreateFromFile(c_str(fname), ctypes.byref(handle)))
File "/home/antik/Desktop/Projects/Proctoring-AI-master/face_detection/venv/lib/python3.8/site-packages/mxnet/base.py", line 246, in check_call
raise get_last_ffi_error()
mxnet.base.MXNetError: Traceback (most recent call last):
[bt] (2) /home/antik/Desktop/Projects/Proctoring-AI-master/face_detection/venv/lib/python3.8/site-packages/mxnet/libmxnet.so(MXSymbolCreateFromFile+0x61) [0x7f9b01978b51]
[bt] (1) /home/antik/Desktop/Projects/Proctoring-AI-master/face_detection/venv/lib/python3.8/site-packages/mxnet/libmxnet.so(+0x91c9a1a) [0x7f9b02d0ea1a]
[bt] (0) /home/antik/Desktop/Projects/Proctoring-AI-master/face_detection/venv/lib/python3.8/site-packages/mxnet/libmxnet.so(+0x91d1f21) [0x7f9b02d16f21]
File "src/io/local_filesys.cc", line 209
LocalFileSystem: Check failed: allow_null: :Open "./models/m1-softmax-emore,1-symbol.json": No such file or directory

![image](https://user-images.githubusercontent.com/4254488/107865398-c91bfa80-6e5d-11eb-8c58-55f68a1bc09d.png)

Please guide to solve this issue.
Thanks.

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